Dr. Mehul S Raval is a faculty member at Ahmedabad University, serving as the Associate Dean of Experiential Learning and Professor. He has over 25 years of experience in computer vision and engineering education. In 1996, he earned his Bachelor's degree in ECE from the College of Engineering Pune / University of Pune, India. He pursued further studies, obtaining a Master's degree in EC in 2002, and a Ph.D. in ECE in 2008.

Dr. Raval has had the opportunity to engage in academic activities abroad, conducting research at Okayama University in Japan as a recipient of the Sakura Science fellowship. He also served as an Argosy visiting associate professor at Olin College of Engineering in the United States in 2016 and held a visiting professorship at Sacred Heart University, CT in 2019.

Dr. Raval's research has been published in reputable journals, magazines, conferences, and workshops. He has served as a reviewer for well-known publishers, including IEEE, ACM, Springer, Elsevier, IET, and SPIE. His research has received support from institutions such as the Board of Research in Nuclear Science (BRNS) and the Department of Science and Technology, Government of India.

Dr. Raval mentors doctoral, M.Tech, and B.Tech students and actively contributes to conferences, workshops, and symposiums as a program committee member. He also participates in curriculum development for esteemed Indian universities as a member of the Board of Studies (BoS). Dr. Raval holds senior memberships in IEEE and prestigious titles as Fellow of IETE and Fellow of The Institution of Engineers (India). He has contributed to the IEEE Gujarat section and served in various capacities within the IEEE Signal Processing Society (SPS) chapter - IEEE Gujarat Section and the IEEE Computational Intelligence Society Chapter - IEEE Gujarat Section.

ORCID

Google Scholar Profile

Research Gate resources

Current Research Projects

New Initiatives on Two Wheelers Safety (2023)

Sponsoring Agency: 2023 IEEE Intelligent Transportation Systems Society

Grant - $19715

Team:

Hrishikesh Venkataraman – IIIT Sricity, Andhra Pradesh

Maryam Kaveshgar – Ahmedabad University

Mehul S Raval – Ahmedabad University

Semantic Person Retrieval in Surveillance (2022 - 2025)

Sponsoring Agency: Gujarat Council on Science and Technology (GUJCOST)

Grant Amount: 33.18 Lacs

Research Team:

Principal Investigator (PI): Mehul S Raval, Professor, School of Engineering and Applied Science, Ahmedabad University

CI: Paawan Sharma, Associate Professor, School of Technology, Pandit Deendayal Energy University (PDEU)

JRF: Jay Chaudhari

Project Details: Due to large number of CCTV deployment in the city, it is difficult to monitor minutest details by a human operator. It can be even more tedious and time consuming when looking for a particular person in the video. The human describable features can is used to automatically retrieve person from the recorded surveillance video

Design and Development of 5G enabled Intelligent Transportation System in Gujarat (2022 - 2025)

Sponsoring Agency: Gujarat Council on Science and Technology (GUJCOST)

Grant Amount: 22.10 Lacs

Research Team: 

Principal Investigator: Dhaval Patel, Associate Professor, Ahmedabad University

Co-Principal Investigator: Mehul S Raval, Professor, Ahmedabad University

Co-Principal Investigator: Mukesh Zaveri, Professor, SVNIT Surat

Co-Principal Investigator and Mentor: S N Merchant, Professor, IITB, Mumbai

Project Details: Specifically, this proposal would focus on the analytical modelling for the coexistence between C- V2X and Wi-Fi 6, which doesn’t prevail in the existing literature. This proposal would also compute the activity statistics of the Wi-Fi users like on and off period duration, duty cycle, distributions of on and off period duration, their moments using machine learning/deep learning approach and exploit it to have fair spectrum sharing with the C-V2X users.

Past Research Projects

Description based person identification in unconstrained surveillance video (2016 - 2019)

Sponsoring agency: Board of Research in Nuclear Science (BRNS), Bhabha Atomic Research Centre, Department of Atomic Energy, Government of India.

Grant Amount: Rs. 20.92 lacs

Research Team:

Principal Investigator (PI): Mehul S Raval, Associate Professor, School of Engineering and Applied Science, Ahmedabad University

CI: Sanjay Chaudhary, Professor and Associate Dean, School of Engineering and Applied Science, Ahmedabad University

Project Collaborator (PC): Anand Laddha, Scientific Officer - G, Physical Protection System Section, Control Instrumentation Division, BARC, Trombay.

SRF: Hiren Galiyawala

Project Detail:

The goal of the project is to locate a person-of-interest based on specific set of soft biometric attributes from a surveillance video without prior registration. The project will integrate and minimize semantic gap between human descriptions and soft biometric traits. Moreover it aims at extracting soft biometric features from an input image or a video frame and then uses these features to locate a matching individual in the video stream. This project will add another dimension to surveillance as human cognitive perceptions are used while searching the video streams.

Title: Developing Data Analytics Architecture: Applications in Agriculture (2017 - 2019)

Sponsoring agency: Department of Science and Technology, New Delhi, (NRDMS - NSDI)

Grant Amount: Rs. 27.51 lacs

Research Team:

Principal Investigator: Sanjay Chaudhary, Professor and Associate Dean, School of Engineering and Applied Science, Ahmedabad University

Co-Principal Investigator (Co-PI): Mehul S Raval, Associate Professor, School of Engineering and Applied Science, Ahmedabad University

SRF:

Project Detail:

Geo-spatial data is very important to develop flexible and versatile functions and applications, for developing multidisciplinary applications, helping in planning, managing and utilizing natural resources efficiently using spatial analysis. We need common standards for data integration and effective analytical infrastructure and we aim to use OGC standards for big data processing of spatial data. The core scientific and technological objectives are:

• Development of big data integration and analytical platform built on open source architecture for enrichment of large data sets including geo-spatial data bases. Agriculture will be used as the domain to realize various aspects of proposed architecture.
• Integration with already developed and deployed Decision Support Systems and Spatial Decision Support Systems for an application domain.
• Indexing, querying, analyzing, and visualizing Geo-spatial data at scale using open source.
• To connect structured and unstructured data in real time or batch processing for data management and analytics of systems for decision making in operational environment, e.g applications like agro advisory system should be able to process event streams in a real time, extract relevant information and identify values that do not follow the general trends.
• Develop and implement distributed algorithm(s) to store and process geo-spatial data.
• Implement advanced data structures to store and process geo-spatial data in an efficient manner.

Developing Data Content Standards for Data Representation, Sharing and Interoperability (Soil, Forest and Surface Geological Map Data) 2018

Funding Organization: NRDMS- NSDI, Dept. of Science and Technology, Govt of India

Funding Amount: Rs. 4.34 lacs

Duration: Four months

Principal Investigator: Sanjay Chaudhary, School of Engineering and Applied Science, Ahmedabad University

Co-Investigator: Mehul S. Raval, School of Engineering and Applied Science, Ahmedabad University

Project Objectives:

• Standards for data representation
• Search for service standards for data acquisition and integration
• Global XML schema for data
• Search for required OGC web service development standards
• Soil, forest and Geological Map Ontology development for data classification and inferencing
• Generation of information regarding accessibility, interoperability and utility of the sharable Soil and Forest data infrastructure
• Conceptual models for Soil and Forest data
• Identification of relevant use cases

Securing biometric data using data hiding techniques (2010 - 2013)

Sponsoring agency: Board of Research in Nuclear Science (BRNS), Bhabha Atomic Research Centre, Department of Atomic Energy, Government of India.

Grant Amount: Rs. 14,00,000

Research Team:

Principal Investigator (PI): Mehul S Raval

CI: Priti P. Rege, Professor and Dean Academics, COEP, Pune

Project Collaborator (PC): S K Parulekar, Scientist H+, Head Computer security division, BARC, Mumbai.

SRF: Vaibhav Joshi, DA-IICT

Project Detail:

Biometrics based authentication systems have been gaining widespread acceptance in the information security domain. However there are several loopholes in biometric systems. This project aims at improving the security and authentication mechanisms of biometric systems by using complementary data hiding techniques. Fragile watermarking will be used to check the integrity and authenticity of biometric templates before identification. This will improve the overall security.

Techniques for Robust Face Recognition with Pose Variations (2012 - 2015)

Sponsoring agency: Board of Research in Nuclear Science (BRNS), Bhabha Atomic Research Centre, Department of Atomic Energy, Government of India.

Grant Amount: Rs. 19,00,000

Research Team:

Principal Investigator: Suman Mitra, Professor, DA-IICT.

Co-Investigator: Prof. Mehul S Raval

Project Collaborator (PC): S K Parulekar, Scientist H+, Head Computer security division, BARC, Mumbai.

Project Details:

Face recognition is the most common and natural means for person identification. This has been a prime focus of research since the introduction of digital technology. Within the scope of machine vision, face recognition sets a great challenge due to the dynamic conditions under which face images are captured. One of the most challenging tasks is to recognize the face under varying poses. Research is continuing to propose more robust face recognition systems, especially under pose variations. An additional challenge is face recognition from partial information or when the face has undergone some changes. The present project aims to improve the face recognition system so as to handle pose variations and face recognition from partial information. Most of the current systems of face recognition try to get face features which are global in nature and then use these in recognition. Here, a system would be built that captures global as well as local features to make more accurate decisions. The present system would also take up a modular approach that would enable recognition from important areas such as the eye region, the lip region and so on. This could be an answer to recognize faces even under disguise.

2023

Book 

• Explainable AI in Healthcare Unboxing Machine Learning for Biomedicine, Editors: Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi, Book Series - Analytics and AI for healthcare, Chapman and Hall / CRC, ISBN 9781003333425, DoI: https://doi.org/10.1201/9781003333425  - First book under the book series.
• Digital Ecosystem for Innovation in Agriculture, Editors: Sanjay Chaudhary, Chandrashekhar M. Biradar, Srikrishnan Divakaran, Mehul S Raval. Book series: Studies in Big Data (SBD, volume 121), Springer Nature, ISBN 978-981-99-0576-8

Journal:

• Snehal Rajput, Rupal Kapdi, Mehul S. Raval and Mohendra Roy, "Interpretable Machine learning model to predict survival days of malignant brain tumor patients," Machine Learning: Science and Technology, IOPscience https://doi.org/10.1088/2632-2153/acd5a9, IF: 6.013. Manuscript 

Book Chapter

• Rupal Kapdi, Snehal Rajput, Mohendra Roy, Mehul S Raval, "Interpretability of Segmentation and Overall Survival for Brain Tumors," Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine, Editors: Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi, CRC Press, ISBN 9781003333425
• Srishti Sharma, Mehul S Raval, Tolga Kaya, Srikrishnan Divakaran, "Interpretable Machine Learning in Athletics for Injury Risk Prediction," Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine, Editors: Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi, CRC Press, ISBN 9781003333425
• Patel, P., Shah, M., Raval, M.S., Chaudhary, S., Parmar, H. (2023). Impact of Vegetation Indices on Wheat Yield Prediction Using Spatio-Temporal Modeling. In: Chaudhary, S., Biradar, C.M., Divakaran, S., Raval, M.S. (eds) Digital Ecosystem for Innovation in Agriculture. Studies in Big Data, vol 121. Springer, Singapore. https://doi.org/10.1007/978-981-99-0577-5_10
• Raval, Mehul S., Obi Reddy, G. P, Chaudhary, Sanjay and Adinarayana, J. "Data science, computer vision and machine learning for agriculture and natural resource management: an overview". Computer Vision: Applications of Visual AI and Image Processing, edited by Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite and Uma Maheswari, Berlin, Boston: De Gruyter, 2023, pp. 23-54. https://doi.org/10.1515/9783110756722-002

Conference

• Harsh Tripathi, Jay Chaudhari, Hiren Galiyawala, Paawan Sharma, "Integrating Datasets with Discrete and Natural Language Annotations for Person Retrieval," The Tenth IEEE International Workshop on Security and Privacy for Internet of Things and Cyber-Physical Systems (IoT/CPS-Security 2023) colocated VTC2023-Fall in Hong Kong, 10th - 13th October 2023.
• Erica Juliano, Chelsea Thakkar, Christopher Taber, Mehul S Raval, Tolga Kaya, Samah Senbel, A Dynamic Online Dashboard for Tracking the Performance of Division 1 Basketball Athletic Performance, International Sports Analytics Conference and Exhibition (Preconference workshop), Singapore, 27th October 2023.
• Srishti Sharma, Srikrishnan Divakaran, Tolga Kaya, Christopher Taber, Mehul S. Raval, "A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment," 1st International Sports Analytics Conference and Exhibition (ISACE), Preconference workshop), Singapore, 27th October 2023.
• Mohendra Roy, Mehul S Raval, "Unmasking DeepFake Visual Content With Generative AI," IEEE R10 Humanitarian Technology Conference, 16th - 18th October 2023, Rajkot, India.
• Maitrik Shah, Mehul S Raval, Srikrishnan Divakaran, Pragnesh Patel, "Study and Impact Analysis of Data Shift in Deep Learning based Atmospheric Corrections," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, 15th - 22nd July 2023, Pasadena, USA.
• S. Kavaiya, D. K. Patel, M. Zaveri, M. S. Raval and S. N. Merchant, "VeCEn: A Data Acquisition Framework for Heterogeneous Vehicular Networks," 2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2023, pp. 60-65, doi: 10.1109/COMSNETS56262.2023.10041287.
• F. N. Shah, D. K. Patel, K. D. Shah, M. S. Raval, M. Zaveri and S. N. Merchant, "Novel Crash Prevention Framework for C-V2X using Deep Learning," 2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2023, pp. 7-12, doi: 10.1109/COMSNETS56262.2023.10041397.

Tutorial Presentation

• Mehul S Raval, Mohendra Roy, "Fake News Detection," IEEE R10 HTC (Humanitarian Technology Conference), Rajkot, 16th October 2023

• Hrishikesh Venkataraman, Maryam Kaveshgar, Mazad Zaveri, Mehul S Raval, "Safety Measures in Two-Wheeler Mobility in Developing Countries,"IEEE R10 HTC (Humanitarian Technology Conference), Rajkot, India, 16th October 2023

• Mehul S Raval, Minoru Kuribayashi, Mohendra Roy, "Spoofing Face Recognition Systems with Adversarial Examples: Challenges and Countermeasures," APSIPA ASC 2023, Taiwan, October 31st 2023

2022

Book

• Data Science in Agriculture and Natural Resource Management, Editors: Reddy, G.P.O., Raval, M.S., Adinarayana, J., Chaudhary, S. Series - Studies in big data, Springer Nature, ISBN: 978-981-16-5846-4 DOI 10.1007/978-981-16-5847-1

Journal

• Brinky Desai, Arpitkumar Patel, Vaishwi Patel, Supan Shah, Mehul S. Raval, and Ratna Ghosal. "Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery." Ecological Informatics , Vol.72, pp. 101874, Dec. 2022. ISSN 1574-9541 IF: 4.498
• Galiyawala, H., Raval, M.S. & Patel, M. Person retrieval in surveillance videos using attribute recognition. Springer Journal of Ambient Intelligence and Humanized Computing (2022). https://doi.org/10.1007/s12652-022-03891-0, IF: 7.1
• S. Senbel, S. Sharma, M. S. Raval, C. Taber, J. Nolan, N. S. Artan, D. Ezzeddine,T. Kaya,"Impact of Sleep and Training on Game Performance and Injury in Division-1 Women’s Basketball amidst the Pandemic", in IEEE Access, Vol. 10, pp. 15516-15527, 2022. IF: 3.367 doi: 10.1109/ACCESS.2022.3145368

Conference

• Snehal Rajput, Rupal Kapdi, Kanhaiya Sharma, Mehul S. Raval and Mohendra Roy, "Survival Prediction of Malignant Brain Tumor Patients," International conference on recent and future Trends in Smart Electronics System and Manufacturing and its applications (SESMIC), Dec. 2022, Pune, India
• Mehul S Raval, Mohendra Roy, Minoru Kuribayashi, "Survey on Vision Based Fake News Detection and Its Impact Analysis", 2022  Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7th - 10th November 2022, Chiang Mai, Thailand.
• Param Raval, Hiren Khakhi, Minoru Kuribayashi, Mehul S Raval, "Defense Against Adversarial Examples Using Beneficial Noise", 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7th - 10th November 2022, Chiang Mai, Thailand.
• Hiroto Takiwaki, Minoru Kuribayashi, Nobuo Funabiki, Mehul S Raval, "Privacy Protection Against Automated Tracking System Using Adversarial Patch", 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7th - 10th November 2022, Chiang Mai, Thailand.
• R. Parmar, M. Kuribayashi, H. Takiwaki and M. S. Raval, "On Fooling Facial Recognition Systems using Adversarial Patches," 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-8, doi: 10.1109/IJCNN55064.2022.9892071.
• S. U. Sharma, S. Divakaran, T. Kaya and M. Raval, "A Hybrid Approach for Interpretable Game Performance Prediction in Basketball," 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 01-08, doi: 10.1109/IJCNN55064.2022.9892583.
• Abhi Lad, Mehul S Raval, "Improving Wheat Head Detection: A Data-Centric Approach by Domain Variance Reduction", The 37th ACM/SIGAPP Symposium On Applied Computing Virtual Conference, pp. 1140 - 1143, April 25 - April 29, 2022, DOI: https://doi.org/10.1145/3477314.3507190
• M. Shah, M. S. Raval and S. Divakaran, "A Deep Learning Perspective to Atmospheric Correction of Satellite Images," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 346-349, doi: 10.1109/IGARSS46834.2022.9884900.

Poster Presentation

Jay Chaudhary, Dinesh Nariani, Mehul S Raval, Paawan Sharma, "Generalization Study on Person Attribute Recognition", Indian Symposium on Machine Learning (IndoML – 2022), Poster Session, Dec. 2022, Gandhinagar.

Tutorial Presentation

Mehul S Raval, Minoru Kuribayashi, Mohendra Roy, "Fake News Detection and its impact analysis", 14th annual conference - Asia-Pacific Signal and Information Processing Association (APSIPA), November 7-10, 2022, Chiang Mai, Thailand.

Dataset

Desai, Brinky, Patel, Arpitkumar, Patel, Vaishwi, Shah, Supan, Raval, Mehul S., & Ghosal, Ratna. (2022), Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery, Dryad, Dataset, https://doi.org/10.5061/dryad.s4mw6m98n

Software: Desai, Brinky, Patel, Arpitkumar, Patel, Vaishwi, Shah, Supan, Raval, Mehul S., & Ghosal, Ratna. (2022). Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery. Zenodo. https://doi.org/10.5281/zenodo.7329260

Supplementary Material: Desai, Brinky, Patel, Arpitkumar, Patel, Vaishwi, Shah, Supan, Raval, Mehul S., & Ghosal, Ratna. (2022). Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery. Zenodo. https://doi.org/10.5281/zenodo.6758870

Popular Article citing Research

Anusha Krishnan, "Identifying individual mugger crocodiles using drone technology to minimise conflicts," Mongabay Series: Almost Famous Species. Available online: https://india.mongabay.com/2022/11/identifying-individual-mugger-crocodiles-using-drone-technology-to-minimise-conflicts/ Accessed on 19th Dec. 2022.

Book Chapter

• Mehul S Raval, G.P. Obi Reddy, Sanjay Chaudhary, J Adinarayana (2022), Data Science, Computer Vision and Machine Learning for Agriculture and Natural Resource Management: An overview. In: Shukla P, Aluvalu R., Gite S, Maheshwari U. (eds.) Computer Vision Applications of Visual AI and Image Processing (CVIP2021), De Gruyter, Berlin, Germany (Accepted for publication).

• Raval M.S., Chaudhary S., Adinarayana J. (2022) Computer Vision and Machine Learning in Agriculture. In: Reddy G.P.O., Raval M.S., Adinarayana J., Chaudhary S. (eds) Data Science in Agriculture and Natural Resource Management. Studies in Big Data, vol 96. Springer, Singapore. https://doi.org/10.1007/978-981-16-5847-1_5

2021

Journal

• Galiyawala, H., Raval, M.S. Person retrieval in surveillance using textual query: a review. Multimed Tools Appl 80, 27343–27383 (2021). https://doi.org/10.1007/s11042-021-10983-0 IF: 2.13

• Rupal Agravat, Mehul S Raval, "A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction " Archives of Computational Methods in Engineering - State of the art reviews, Springer, March 2021 (Online), IF: 6.7, https://doi.org/10.1007/s11831-021-09559-w

Conference

• Abhi Lad, Mehul S Raval, "Resolving Issues with Wheat Head Detection: A Use Case of XAI in Agriculture Scenario", 5th Virtual workshop on Data Science for Agriculture and Natural Resource Management (DSANRM 2021) Colocated with 9th International Conference on Big Data Analytics - 2021, 15th Dec. 2021.

• Pragnesh Patel, Maitrik Shah, Hasit Parmar, Mehul S Raval, "Impact of Vegetation Indices on Wheat Yield Prediction", 5th Virtual workshop on Data Science for Agriculture and Natural Resource Management (DSANRM 2021) Colocated with 9th International Conference on Big Data Analytics - 2021, 15th Dec. 2021.

• M. Shah, M. S. Raval and S. Divakaran, "Deep Learning-based Emulator for 6S Atmospheric Correction Model," 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS), 2021, pp. 471-474, doi: 10.1109/InGARSS51564.2021.9792053.

• Hiren Galiyawala, Mehul S Raval, Dhyey Savalia, DSA-PR: Discrete Soft Biometric Attribute-Based Person Retrieval in Surveillance Video, The 17th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2021) - Virtual, November 16 - 19, 2021

• Sanket Shah, Harin Khakhi, Param Raval, Mehul S Raval, “Frequency Centric Defense Mechanisms against Adversarial Examples”, 1st International Workshop on Adversarial Learning for Multimedia, ACM Multimedia 2021, 24th Oct. 2021, Chendu, China

• Rupal Agravat, Mehul S Raval, "3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction", In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science, vol 12659. Springer, Cham., pp. 215 - 227, March 2021, ISBN 978-3-030-72086-5, https://doi.org/10.1007/978-3-030-72087-2_19

• Rajput S., Agravat R., Roy M., Raval M.S. (2022) Glioblastoma Multiforme Patient Survival Prediction. In: Su R., Zhang YD., Liu H. (eds) Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021). MICAD 2021. Lecture Notes in Electrical Engineering, vol 784. Springer, Singapore, pp. 47 - 58, Print ISBN978-981-16-3879-4 https://doi.org/10.1007/978-981-16-3880-0_6

• Thakur S., Patel D.K., Soni B., Raval M.S., Chaudhary S. (2020) Prediction for the Second Wave of COVID-19 in India. In: Bellatreche L., Goyal V., Fujita H., Mondal A., Reddy P.K. (eds) Big Data Analytics. BDA 2020. Lecture Notes in Computer Science, Vol 12581. Springer, Cham. pp. 134 - 150, Jan 2021, ISBN: 978-3-030-66664-4, DOI: https://doi.org/10.1007/978-3-030-66665-1_10

2020

Journal

• Snehal Rajput, Mehul S Raval, "A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction", Azerbaijan Journal for High Performance Computing,(Invited Paper), Vol. 3, No. 1, June 2020, pp. 119 - 138, DOI: 10.32010/26166127, ISSN: 2616-6127.

Conference

• Mehul S Raval, Tolga Kaya, Mazad Zaveri, Paawan Sharma, "Experiments with Multinational Cross-Course Project", IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE2020)-Online, December 2020, pp. 65 - 70. ISBN: 978-1-7281-6942-2
• Mehul S Raval, Tolga Kaya, “Effect of Multinational Projects on Engineering Students through a Summer Exposure Research Program” IEEE Global Engineering Education Conference (EDUCON), Porto, Portugal, April 2020, pp. 51 – 55
• Mehul S Raval, Ratnik Gandhi, “Experiments in active learning through project across courses”, IEEE Global Engineering Education Conference (EDUCON), Porto, Portugal, April 2020, pp. 530 – 539.
• Rupal Agravat, Mehul S Raval, “Brain Tumor Segmentation and Survival Prediction”, A. Crimi and S. Bakas (Eds.): International MICCAI Brainlesion Workshop: BrainLes 2019, Springer LNCS 11992, pp. 338–348, May 2020. ISBN 978-3-030-46639-8 DOI https://doi.org/10.1007/978-3-030-46640-4_32
• Vaibhav B Joshi, Mehul S Raval, "Adaptive Threshold for Fingerprint Recognition System Based on Threat Level and System Load", Procedia Computer Science, Vol. 171, 2020, pp. 498-507. DOI:https://doi.org/10.1016/j.procs.2020.04.053.

2019

Journal

• Veena Iyer, Susanna Abraham Cottagiri, Ayushi Sharma, Divya Nair, Mehul S. Raval, Bhavin Solanki, Dileep Mavalankar, "Effect of El Niño Southern Oscillations on the incidence of enteric fever in Ahmedabad, India from 1985 to 2017", Asian Pacific Journal of Tropical Medicine, Hainan Medical University, IF: 1.772, Vol. 12, No. 12, pp. 531 - 576, December 2019. DOI:10.4103/1995-7645.272485
• Hiren Galiyawala, Mehul S Raval, Shivansh Dave, "Visual Appearance Based Person Retrieval in Unconstrained Environment Videos", Image and Vision Computing, Vol. 92, Dec. 2019, Elsevier, IF: 2.7 https://doi.org/10.1016/j.imavis.2019.10.002, Available online 24th Oct. 2019.
• Mehul S Raval, "Hybrid Project Based Learning in Computer Vision", The International Journal of Electrical Engineering & Education, Sage Publishing, USA, ISSN: 0020-7209, IF - 0.941, https://doi.org/10.1177/0020720919857632

Conference

• R. R. Agravat and M. S. Raval, "Prediction of Overall Survival of Brain Tumor Patients," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 31-35, doi: 10.1109/TENCON.2019.8929497.

Book Chapters

• Hiren Galiyawala, Mehul S Raval, Anand Laddha, Person Retrieval in Surveillance Videos using Deep Soft Biometrics, Deep Biometrics, Editors: Richard Jiang, Weizhi Meng, Chang-Tsun Li, Christophe Rosenberger, Springer, Cham, pp 191-214, ISBN 978-3-030-32583-1 DOI https://doi.org/10.1007/978-3-030-32583-1_9
• Ratnik Gandhi, Mehul S Raval, "Learning Algorithms over Cloud", Nature-Inspired Computation in Data Mining and Machine Learning (NICDL2018), Editors: Xin-She Yang, Springer Cham, pp: 23-46, Sept. 2019. ISBN: 978-3-030-28552-4, DOI https://doi.org/10.1007/978-3-030-28553-1_2

Preprints

• Hiren Galiyawala, Mehul S Raval, Shivansh Dave, "Visual Appearance Based Person Retrieval in Unconstrained Environment Videos", arXiv Preprints https://arxiv.org/pdf/1910.14565 arXiv:1910.14565 [cs.CV]
• Mehul S Raval, Ratnik Gandhi, "Experiments in active learning through Project Across Courses", OSF Preprints: https://osf.io/fg24x/, pp:1-27, Sept. 2019, DOI:10.31219/osf.io/fg24x
• Rupal Agravat, Mehul S Raval, "Prediction of Overall Survival of Brain Tumor Patients", arXiv Preprints https://arxiv.org/abs/1909.04596, Sept. 2019.
• Rupal Agravat, Mehul S Raval, "Brain Tumor Segmentation and Survival Prediction", arXiv Preprints http://arxiv.org/abs/1909.09399, Sept. 2019.
• Vaibhav B Joshi, Mehul S Raval, "Adaptive Threshold for Fingerprint Recognition System Based on Threat Level and System Load", OSF Preprints: https://osf.io/9usp4/, pp:1-10, Sept. 2019, DOI:10.31219/osf.io/9usp4
• Vaibhav B Joshi, Mehul S Raval, "An Improved Commutative Reversible Watermarking and Encryption for Fingerprint Image", OSF Preprints: https://osf.io/kvxah/, pp:1-10, Sept. 2019, DOI:10.31219/osf.io/kvxah

2018

Book Chapters

• Mehul S Raval, Vaibhav B Joshi, Jignesh Bhatt, Chapter 28, "Securing Biometrics Using Data Hiding Techniques", Editor: S Ramakrishnan, Cryptographic and Information Security Approaches for Images and Videos, CRC Press, Taylor and Francis Group, pp. 833 - 855, December 2018, ISBN 9781138563841
• Mehul S Raval, Ratnik Gandhi, Sanjay Chaudhary, "Insider Threat Detection: Machine Learning Way", Eds. Mauro Conti, Gaurav Somani, and Radha Poovendran, Versatile Cybersecurity, Springer Book series: Advances in Information Security, pp. 19 - 53, October 2018, ISBN: 978-3-319-97642-6, DOI: 10.1007/978-3-319-97643-3
• Mehul S Raval, Chapter 5 "Reversible Data Hiding: An active forensic framework for digital images", Editor Siddhartha Bhattacharyya, Intelligent Innovations in Multimedia Data Engineering and Management, IGI Global, pp: 116 - 140, September 2018, ISBN: 9781522571070, DOI: 10.4018/978-1-5225-7107-0
• Rupal Agravat, Mehul S Raval, Chapter 11 "Deep Learning for Brain Tumor Segmentation", Editors: Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Valentina E. Balas, Soft Computing Based Medical Image Analysis, Academic Press, pp: 183-201, February 2018, Paperback ISBN: 9780128130872, https://doi.org/10.1016/B978-0-12-813087-2.00010-5

Conference

• H. Galiyawala, K. Shah, V. Gajjar and M. S. Raval, "Person Retrieval in Surveillance Video using Height, Color and Gender," 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Auckland, New Zealand, 2018, pp. 1-6, doi: 10.1109/AVSS.2018.8639145.
• V. Gajjar, Y. Khandhediya, A. Gumani, V. Mavani and M. S. Raval, "ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks," 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, UT, 2018, pp. 1989-19898, doi: 10.1109/CVPRW.2018.00256.

Magazine

• Ratnik Gandhi, Mehul S Raval, and Sanjay Chaudhary, "Pattern Discovery for Insider Threat", CSI Communications, Vol. 42, No. 2, pp. 31 - 33, May 2018. ISSN 0970-647X

2017

Journal

• Vaibhav B Joshi, Mehul S Raval, Minoru Kuribayashi, "Reversible Data Hiding based Compressible Privacy Preserving System for Color Image", Multimedia Tools and Applications, pp. 1 - 26, Oct. 2017, Springer, US https://doi.org/10.1007/s11042-017-5230-8, ISSN 1380-7501 Impact Factor: 1.53

Conference

• Priyansh Shah, Mehul S Raval, Shvetal Pandya, Anand Laddha, Sanjay Chaudhary, "Description Based Person Identification: Use of Clothes Color and Type", National Conference on Computer vision, image processing and graphics (NCVPRIPG 2017), pp. 457 - 469, 16th to 19th Dec. 2017, IIT Mandi, India. https://link.springer.com/chapter/10.1007%2F978-981-13-0020-2_40
• V. B. Joshi and M. S. Raval, "An image based undetectable steganographic technique (ImUST)," 2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC), Bali, 2017, pp. 6-10, doi: 10.1109/WPMC.2017.8301883.
• Minoru Kuribayashi, Vaibhav B. Joshi, Mehul S. Raval, "Compression-Friendly Reversible Data Hiding for Privacy Protection,"IEICE Enriched Multimedia (EMM 2017), IEICE, vol. 117, no. 282, EMM 2017-61, pp. 33-38, November 2017. Print edition: ISSN 0913-5685

2016

Magazine

• Mehul S Raval, Digital Video Forensics: Description Based Person Identification , CSI Communications, Vol. 39, No. 12, pp. 9 - 11, March 2016.
• Rupal Agravat, Mehul S Raval, Brain Tumor Segmentation: Towards a better life, CSI Communications, Vol. 40, No. 9, pp. 31 - 35, Dec. 2016. Available online at http://www.csi-india.org/Communications/CSIC_Dec_2016.pdf

Conference

• Niteen B Patel, Mehul S Raval, "Target Tracking Accuracy in Context of Energy Consumption in Wireless Sensor Network,"International Conference on Communication and Networks (COMNET 2016) , Ahmedabad, India, Feb. 20 - 21, 2016.
• Aditya Parikh, Mehul S Raval, Chandrasinh Parmar, Sanjay Chaudhary, "Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images", Special Session on Data Science for Agricultural Decision Support Systemsat 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016) , 17 - 19th Oct. 2016, Montreal, Canada.
• V. B. Joshi, M. S. Raval, D. Gupta and P. P. Rege, "An invertible fuzzy scheme for securing a fragile watermark," 2016 International Conference on Computing, Analytics and Security Trends (CAST), Pune, 2016, pp. 517-522, doi: 10.1109/CAST.2016.7915023.

2015

Journal

• Jaladhi Vyas, M V Joshi, Mehul S Raval, " Automatic Target Image Detection for Morphing ", Elsevier Journal of Visual Communication and Image Representation, Vol. 27, pp:28-43, Feb. 2015, DOI: http://dx.doi.org/10.1016/j.jvcir.2014.12.005 Impact Factor:1.36
• Vaibhav B Joshi, Mehul S Raval, Dhruv Gupta, Priti P Rege, S K Parulkar, "A Multiple Reversible Watermarking Technique for Fingerprint Authentication ", Springer Multimedia Systems, Published online 18th April 2015, ISSN: 0942-4962 (print version), DOI: 10.1007/s00530-015-0465-6, Impact Factor: 0.43

Conference

• Vaibhav B Joshi, Dhruv Gupta, Mehul S Raval, " A Commutative Encryption and Reversible Watermarking for Fingerprint Image" , 14th International Workshop on Digital-forensics and Watermarking (IWDW 2015), Springer LNCS, ISBN 978-3319319599, Oct. 7 to 10, 2015, Tokyo, Japan.
• Rahul Patel, Shashwat Sanghavi, Dhruv Gupta, Mehul S Raval, "CheckIt - A low cost mobile OMR system," IEEE TENCON 2015 , pp.1-5, Nov. 1 - 4, 2015, Macau. DOI: 10.1109/TENCON.2015.7372983
• Mehul S Raval, Vaibhav Joshi, Dhruv Gupta, Shubhalaxmi J Kher, "Authenticating Super-resolved Image and Enhancing Its PSNR Using Watermark," 2015 IEEE Symposium Series on Computational Intelligence: Computational Intelligence in Cyber Security, pp. 481- 487, Dec. 2015, Cape Town, South Africa. DOI: 10.1109/SSCI.2015.77

Preprints

• Dhruv Gupta, Gunvantsinh Gohil, Mehul S. Raval, " Driver Friendly Headlight Controller for Driving in Developing Countries ",arXiv:1509.04636 [cs.SY], 15th Sept. 2015, http://arxiv.org/abs/1509.04636

2014

Book:

• Madhuri A. Joshi, Mehul S. Raval, Yogesh H. Dandawate, Kalyani R. Joshi, Shilpa P. Metkar, Image and Video Compression: Fundamentals, Techniques and Applications , Chapman and Hall / CRC, FL, US, 17th Nov. 2014, DOI: 10.1201/b17738-1, Print ISBN 978-1-4822-2822-9 eBook ISBN: 978-1-4822-2823-6

Journal

• Jignesh Bhatt, Manjunath Joshi, Raval Mehul S , "A Data-driven Stochastic Approach for Unmixing Hyperspectral Imagery ", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.7, No. 6, pp. 1936 - 1946, June 2014 DOI 10.1109/JSTARS.2014.2328597. Impact Factor: 2.87
• Harikumar, Prakash Gajjar, M V Joshi, Raval Mehul S, "Multiresolution Image Fusion: Use of Compressive Sensing and Graph Cuts ," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No.5, pp:1771 - 1780, May 2014. ISSN:1939-1404, DOI: 10.1109/JSTARS.2013.228789. Impact Factor: 2.87

Magazine:

• Mehul S Raval, "Hyperspectral Imaging: A Paradigm in Remote Sensing ", CSI Communications, Jan. 2014, pp.7 -9.

Student Paper:

• Vaibhav B Joshi, " Separable Fragile Watermarking for Biometric Image ", PhD Symposium , The 9th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2014) , 15th Dec. 2014, IISC Bangalore, India

2013

Journal

• Joshi Vaibhav, Raval Mehul S., Rege Priti P., Parulkar S. K., "Multistage VQ Based Exact Authentication for biometric Images ," Computer Society of India(CSI) Journal of Computing, Vol. 2, No. 1-2, pp: R3-25-29, 2013. eISSN:2277-7091.

Conference

• Joshi, M. V., Joshi, Vaibhav and Raval, Mehul S. "Multilevel semi-fragile watermarking technique for improving biometric fingerprint system security," in Intelligent Interactive Technologies and Multimedia, Anupam Agrawal, R. C. Tripathi, Ellen Yi-Luen Do and M. D. Tiwari Eds. Heidelberg: Springer, 2013, pp. 272-283.
• Nutt, Victor, Kher, Shubhalaxmi and Raval, Mehul S.. "Fuzzy headlight intensity controller using wireless sensor network," in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, pp:1 - 6, July 7-10, 2013.
• Padalkar, Milind, Vora, Manali, Joshi, M.V., Zaveri, Mukesh & Raval, Mehul S., "Identifying Vandalized Regions in Facial Images of Statues for Inpainting", in A. Petrosino, L. Maddalena, P. Pala (Eds.): ICIAP 2013 Workshops, Springer-Verlag Berlin Heidelberg LNCS 8158, pp. 208–217, Naples, Italy, September 9th 2013.
• Raval, Mehul S., Joshi, M. V., Kher Shubhalaxmi, "Fuzzy Neural Based Copyright Protection Scheme for Superresolution", in IEEE International Conference on Systems, Man and Cybernetics(SMC 2013), pp: 328 - 332, Manchester, UK, October 13-16, 2013.
• Vaibhav Joshi, Raval Mehul S., Suman Mitra, S. K. Parulkar, Priti P. Rege, "Reversible Watermarking Techniques to Enhance Security of Biometric Authentication System," IEEE NCVPRIPG 2013, IIT Jodhpur, 19 -21 Dec. 2013.

Monsoon 2023

ECE 210 Signals and Systems

Winter 2023

CSE 523 Machine Learning

CSE 541 Computer Vision

Monsoon 2022

• ECE210 Signals and Systems Jointly with Professor Ashok Ranade

Winter 2022

• CSE 523 Machine Learning
• CSE 541 Computer Vision

Monsoon 2021

• CSE 518 Artificial Intelligence

Winter 2020-21

• CSE 523 Machine Learning
• CSE 502 Computer Vision

Monsoon 2020-21

• CSE 518 Artificial Intelligence

Spring 2019-20

• 18CP311T Artificial Intelligence, BTech ICT, Sem VI
• 18CP315T Data Warehousing and Data Mining

Autumn 2019-20

• 19CP402T Machine Learning, BTech ICT and Computer Engineering, Sem VII

Spring 2018 - 19

• 18CP311T Artificial Intelligence, BTech ICT and Computer Engineering, Sem VI

Monsoon 2018-19

· CSP 200 Signals and Systems, B.Tech, ICT, Semester III

· CSP 502 Computer Vision, B.Tech, ICT, Semester VII

Winter 2017-18

· CSC 523 Machine Learning, M.Tech (Data Science and Analytics) Open elective to B.Tech ICT, Sem VI and VIII

Monsoon 2017-18

· CSP 200 Signals and Systems, B.Tech, ICT, Semester III

· CSP 502 Computer Vision, B.Tech, ICT, Semester VII

Winter 2016-17

· CSP 300 Digital Signal Processing, B.Tech (ICT), Sem VI

· CSC 523 Machine Learning, M.Tech (Data Science and Analytics) Open elective to B.Tech ICT, Sem VI and VIII

Fall 2016

· Quantitative Engineering Analysis, Sem. III, Bachelor of Science Program, Olin College of Engineering, Needham, Massachusetts, US, (Co-teaching)

Summer 2016

· Machine Learning, PhD Program, SEAS

Winter 2016

· Machine Learning, M.Tech (Data Science and Analytics) Open elective to B.Tech ICT, Sem VI and VIII

Monsoon 2015-16

· Probability and Statistical Inference, M.Tech (Data Science and Analytics) and PhD Program

· CSP 200 Signals and Systems, B.Tech, ICT, Semester III

Winter 2015

· CSC 523 Machine Learning, M.Tech (Data Science and Analytics)

Monsoon 2014 - 15

· Probability and Statistical Inference, M.Tech (Data Science and Analytics) and PhD Program

· Signals and Systems, B.Tech, ICT, Semester III

Winter 2013 - 14

· Probability and Random Processes, B.Tech ICT, Semester IV

Monsoon 2013-14

· Computer Organization, B.Tech ICT, Semester III

Current PhD scholars

1. Maitrik K Shah (2021 - )

Thesis on "Surface reflectance retrieval of remote sensing images with  dehazing"

Dissertation Advisory Committee

• Professor Mehul S Raval, Supervisor (Chairman)
• Professor Srikrishnan Divakaran - Cosupervisor (Member)
• Professor Keyur Joshi (Internal Faculty Expert - I)
• Professor Jayendra Bhalodiya (Internal Expert - II)
• Shri Debajyoti Dhar, Group Director, Outstanding Scientist & Signal and Image Processing Group, SAC, ISRO (External Expert)

2. Srishti Sharma (2021 - )

Thesis on "Framework for Modeling and Prediction of Athletic Game Performance and Injury Risk"

Dissertation Advisory Committee

• Professor Mehul S Raval, Supervisor (Chairman)
• Professor Srikrishnan Divakaran, Cosupervisor (Member)
• Professor Tolga Kaya, Cosupervisor, Professor of Computer Engineering, Sacred Heart University, USA (Member)
• Professor Keyur Joshi, (Internal Faculty Expert - I)
• Professor Kuntal Patel (Internal Expert - II)

3. Snehal Rajput, Pandit Deendayal Energy University, Gandhinagar, Gujarat (2019 – )

Dissertation Advisory Committee

• Chair: Head of the Department, CSE Department, PDEU, Gandhinagar
• Supervisor: Dr Mohendra Roy, PDEU, Gandhinagar
• CoSupervisor: Professor Mehul S Raval, Ahmedabad University, Ahmedabad, Gujarat, India
• External Expert: Professor Mukesh Zaveri, Professor, SVNIT, Surat, India.

4. Yagnik Bhavsar (2023 - )

Thesis domain: Intelligent Transportation Systems

Dissertation Advisory Committee

• Professor Mazad Zaveri (PhD Supervisor)- Chairman, Associate Professor, School of Engineering and Applied Science, Ahmedabad University
• Professor Mehul S Raval -PhD Co-Supervisor, Professor, School of Engineering and Applied Science, Ahmedabad University
• Professor  Jayendra M Bhalodiya-Internal Member, Assistant Professor, School of Engineering and Applied Science, Ahmedabad University
• Professor Kuntal Patel--Internal Member, Assistant Professor, School of Engineering and Applied Science, Ahmedabad University
• Dr. Rajesh S Gujar - External Member, Assistant Professor, PDEU, Gandhinagar

Graduated PhD scholar

1. Hiren Galiyawala, Ahmedabad University, Ahmedabad, India (2018 - 2022)

Thesis on: Soft Biometrics based Person Retrieval from Unconstrained Surveillance Video

Dissertation Advisory Committee

• Supervisor and Chairman: Professor Mehul S Raval, Ahmedabad University, Ahmedabad, Gujarat, India
• External Expert: Professor Manjunath V Joshi, Professor, DA-IICT, Gujarat, India.
• Internal Expert I: Dr Dhaval Patel, Ahmedabad University, Ahmedabad, Gujarat, India
• Internal Expert II: Dr Keyur Joshi, Ahmedabad University, Ahmedabad, Gujarat, India

PhD Dissertation Exam Committee 

• Professor Richard Jiang, Associate Professor, Lancaster University, UK
• Professor Dipti Prasad Mukherjee, Professor, Indian Statistical Institute, Kolkata, India 
• Professor Shashi Prabh, Associate Professor, Ahmedabad University, India
• Professor Mehul S Raval, Professor, Ahmedabad University, India
• Professor Dhaval Patel, Associate Professor, Ahmedabad University, India
• Professor M V Joshi, Professor, DAIICT, India
• Professor Keyur Joshi, Assistant Professor, Ahmedabad University, India

2. Rupal Agravat, Ahmedabad University, Ahmedabad, Gujarat, India (2014 -  2021) - Co-supervised by Professor Sanjay Chaudhary

Thesis on: "Robust Brain Tumor Segmentation for Overall Survival Prediction"

Thesis Advisory Committee

• External Expert: Professor Manjunath V Joshi, Professor, DA-IICT, Gujarat, India.
• Internal Expert: Professor N Padmanabhan, Professor, Ahmedabad University, Ahmedabad, Gujarat, India.
• Supervisor: Professor Mehul S Raval, Professor, Ahmedabad University, Ahmedabad, Gujarat, India.

PhD Examination Committee

• Professor Sumantra Dutta Roy, Professor, EE Department, IIT Delhi
• Dr Spyridon Bakas, Center for Biomedical Image Computing & Analytics (CBICA), Perelman School of Medicine, University of Pennsylvania, USA
• Dr Mazad Zaveri, Associate Professor Ahmedabad University (Chair)
• Professor Sanjay Chaudhary, Interim Dean and Professor, Ahmedabad University
• Professor Mehul S Raval, Professor, Ahmedabad University
• Professor Manjunath V Joshi, Professor, DA-IICT, Gujarat, India.
• Professor N Padmanabhan, Professor, Ahmedabad University, Ahmedabad, Gujarat, India.

3. Vaibhav B Joshi, Ahmedabad University, Ahmedabad, Gujarat, India (2014 - 2018)

Thesis on "Securing Biometrics through Data hiding techniques"

Thesis Advisory Committee

• External Expert: Professor Priti P Rege, Professor and Head, Electronics and Telecommunication Engineering Department, College of Engineering Pune, Pune, Maharastra, India.
• Internal Expert: Professor N Padmanabhan, Professor, Ahmedabad University, Ahmedabad, Gujarat, India.
• Supervisor: Professor Mehul S Raval, Associate Professor, Ahmedabad University, Ahmedabad, Gujarat, India.

PhD Exam Committee

• Professor S N Merchant, Professor Electrical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India
• Professor Arun Somani, Distinguished Professor of Electrical and Computer Engineering, Philip and Virginia Sproul Professor, Iowa State University, Ames, IA, USA
• Professor Priti Rege, Professor, College of Engineering Pune
• Professor Sanjay Chaudhary, Professor, Ahmedabad University (Chair)
• Professor Mehul S Raval, Associate Professor, Ahmedabad University

4. Niteen B Patel, Veer Narmad South Gujarat University, Surat, Gujarat, India, (2009 - 2016)

Thesis on "Target Localization, Improving Tracking Accuracy and Energy Efficiency In Wireless Sensor Network"

PhD Exam Committee

• Dr. Mihir Shah, Professor ECE Department, L.D College of Engineering, Ahmedabad, Gujarat India
• Dr. Vishvjit Thaker, Professor and Head, ECE Department, A.D. Patel Institute of Technology, Vallabh Vidyanagar, Gujarat, India
• Dr. Mehul S Raval, Supervisor and Associate Professor, Ahmedabad University, Ahmedabad, India

Past MTech Students

2016-17 Maruti Goswami, "Soft biometrics based person identification", Ahmedabad University

2015-16, Pooja Patel, "Pattern classification of Protein sequences", Ahmedabad University

2014 - 15, Dhara Sangani, "Pansharpening in Remotely sensed images", L.D. College of Engineering. Ahmedabad

2013-14, Dhruv Gupta, "Study of Fuzzy Clustering Algorithms and Enhanced Fuzzy Reasoning Applications to Texture Based Image Segmentation", DA-IICT, Gandhinagar

2013-14, Ronak Kosti,"Estimating Depth in a Single Image by Learning through Neural Network", DAIICT, Gandhinagar

2011-12, Harikumar V, “Compressive sensing based multi resolution image fusion”, DA-IICT, Gandhinagar

2010- 11, Mr. Sandeep Juneja, “Collusion Resistive Watermarking techniques”, DA-IICT, Gandhinagar

2008 - 2009, Mr. Akshay Gupta, “SVD based Robust Watermarking techniques” DA-IICT, Gandhinagar

2008 - 2009, Ms Arpita Parmar, “Reversible Watermarking techniques”, CIT Changa, Gujarat University

2006 - 2007, Mr. Chirag Paunwala, “Robust watermarking techniques”, SGSITS Indore

2005- 2006, Ms Hiral Desai, “ Correlation based watermarking technique”, M S University Baroda.

Past B.Tech Students

2020 - 21 Arpitkumar Patel, Developing Artificial Intelligence Extensions for Educational Programming Platform for Kids for mobile devices,  sponsored by - Agilo Research Private

2020 - 21 Vaishwi Patel, AI based smart camera system, sponsored by - Teksun Microsys Private Limited

2020 - 21 Jeet Shah, Water Treatment Plant Automation Optimization, sponsored by  - Infocusp innovations private limited

2020 - 21 Krinali Shah, Fleet Management, sponsored by - Evolutionary System Private Limited

2020 - 21 Bhargav Patel, Online Continuous Assessment and Proctoring System, sponsored by - Truminds Software Systems Private Limited

2020-21 Dhyey Savalia, "Linear Filtering approach for soft attribute based person recognition', CE Department, LD College of Engineering, Ahmedabad

2020-21 Meet Patel, "One shot attribute extraction and recognition", CE Department, LD College of Engineering, Ahmedabad.

2019 – 20 Jhanvi Arora, “Person identification using textual query”, PDPU, ICT department.

2019 – 20 Prayushi Faldu and Nevil Vekariya, “Contextualising text”, Embibe Bangalore, PDPU, ICT department.

2018-19 Kenil Shah, "Person identification using height, cloth color and gender", EC Department, LD College of Engineering, Ahmedabad

2018-19Shivansh K Dave, "Person identification using GAIT", Computer Engineering Department, LD College of Engineering, Ahmedabad

2018-19 Prachal Patel, "Person identification using GAIT", Information Technology Department, LD College of Engineering, Ahmedabad

2017-18, Aashima Yuthika, "Monocular depth estimation for autonomous vehicle navigation", Ahmedabad University

2017-18, Vandit Gajjar, "Gender estimation using facial features in surveillance video", LD College of Engineering, Ahmedabad

2017-18, Yash Khandhediya, "Gender Estimation in far field surveillance video", LD College of Engineering, Ahmedabad

2017-18, Rupande Shastri, "Signal estimation in photoplethysmography", Ahmedabad University

2017-18, Janki Desai, "Person height estimation in surveillance video", Ahmedabad University

2017-18, Himanshu Budhia, "Robust brain tumor segmentation and life expectancy estimation", Ahmedabad University

2016-17, Sachi Turakhia, "Brain Tumor Segmentation", Ahmedabad University

2016-17, Priyansh Shah, "Person Identification from Surveillance videos: Use of Colours", Ahmedabad University

2016-17, Sharvil Shah, "Person Identification from Surveillance videos: Use of material accessory", Ahmedabad University

2014-15, Anuradha Chaudhary, "Development of Steganography and steganalysis framework", Dharmsinh Desai University, Nadiad.

2015 - 16, Aditya Parikh, "Pest and Disease identification in cotton crop of North Gujarat", Ahmedabad University

2015 - 16, Anmol Anubhai, Kahinee - A Voice Aided Service for Rural Healthcare, Ahmedabad University

2015 - 16, Rahul Patel, Kahinee - A Voice Aided Service for Rural Healthcare, Ahmedabad University

2015 - 16, Shashwat Sanghavi, Kahinee - A Voice Aided Service for Rural Healthcare, Ahmedabad University

2023

My Editorial Roles

Associate Editor -  IEEE Access (2017 - )

Guest Associate Editor and Review Editor - Frontiers Machine Learning and Artificial Intelligence (2021 - )

Review Editor - Frontiers in Imaging (2022 - )

Journal Paper Review

Frontiers in Big Data (4), Frontiers in Imaging (1), Taylor and Francis: Cybernetics and Systems (1), IEEE Access (3), International Journal of Image and Graphics (1), Expert Systems with Applications (4), SPIE Journal of Applied Remote Sensing - JARS (1), Oxford Academic - The Computer Journal (1), Springer - Geotechnical and Geological Engineering(1), IET Image Processing (2), Frontiers in Artificial Intelligence: section Medicine and Public Health (1), Frontiers in Artificial Intelligence: section Machine Learning and Artificial Intelligence(1), Frontiers in Physiology, section Striated Muscle Physiology (1), Frontiers in Medicine, section Pathology (1), Frontiers in Pediatrics, section Pediatric Neurology, Scientific Reports (1), 

Conference Committee

Track Chair, Track X Machine Learning for Humanity, IEEE R10 Humanitarian Technology Conference 2023, 16th October to 18th October 2023

Member, Technical Advisory Committee, Robofest Gujarat 3.0, Gujarat Council on Science and Technology

Conference Review

International Joint Conference on Neural Networks (5) , June 18th - June 23, Queensland, Australia

PhD Thesis Review

Savitribai Phule Pune University, Nirma University

Talks

1. Sports Data Analytics using Computer Vision, MTech Webinar, Ahmedabad University, Ahmedabad, 14th September 2023
2. Sports Data Analytics using Computer Vision, IEEE Signal Processing Society NetSip 2023 - Robotics and Autonomous Systems Using AI-ML, Silver Oak University, Ahmedabad, 26th August 2023
3. CNN and its applications, ISTE-approved two-week STTP on Deep Learning: Concepts to Deployment, Computer Science and Engineering Department, Nirma University, 4th July 2023
4. Regression and Regularization, ISTE-approved two-week STTP on Machine Learning for Electronics Engineers, Electronics and Communication Engineering Department, Nirma University, 5th July 2023.
5. AI and Computer Vision for traffic and rule violation at roundabout, ISTE-approved two-week STTP Artificial Intelligence Application in Civil Engineering, Civil Engineering Department, Nirma University, 6th July 2023
6. Unleashing the Power of AI and Software: Opportunities for Startups in the Indian and Global Market, IT/ITES Conclave 2023, The Southern Gujarat Chamber of Commerce and Industries, Surat, 02nd June 2023.
7. Two powerful tools in machine learning: Logistic Regression and Support Vector Machines, SERB - Hands on Training on Design, Fabrication and Testing of 5G antenna using Machine Learning, Sardar Vallabhbhai National Institute of Technology, Surat, 17th May 2023
8. U-Net and other models for image segmentation, Short Term Training Program on  Reconfigurable chip design, Image and video analysis using Vivado, LTSpice, Python and OpenCV, Parul University, Vadodara, India, 3rd May 2023.
9. Deep Learning in Agriculture, Image Dehazing and Adversarial Learning, Navrachana University, Vadodara, 8th April 2023
10. Technology Vision 2047 - A Brainstorming Workshop, Technology Information, Forecasting and Assessment Council (TIFAC) and Gujarat Council on Science and Technology (GUJCOST), Science City, Ahmedabad, 27th March 2023.
11. Open & Sharing Data @Ahmedabad University, Open and Sharing Data Working Group (OSDWG) meeting at 55th Meeting of the Asia-Pacific Advanced Network (APAN55), March 15, 2023, Kathmandu, Nepal.
12. Person Retrieval from surveillance video using textual query, Research Seminar, Islamic University of Science & Technology, Kashmir, India, March 8, 2023
13. Fake News detection and Impact Analysis, Research Seminar Series, Ahmedabad University, February 8, 2023
14. Deep Learning approaches for atmospheric corrections, CoE-AIML, IITRAM, Ahmedabad, February 7, 2023
15. Deep Learning Approaches for Atmospheric Corrections, GUJCOST Short Term Training Program on Concept of Artificial Intelligence and Machine Learning towards Research Applications, L D College of Engineering, 19th January 2023

2022

Conference Committee

• Track Chair & Reviewer, 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, Nov. 7th - 10th 2022

• Special Session - Adversarial attacks and Defense, Organizers - Minoru Kuribayashi, Mehul S. Raval, Mohendra Roy,APSIPA ASC 2022, Chiang Mai, Thailand, Nov. 7th - 10th 2022

• Program committee member, 2nd International Workshop on “Blockchain Technologies (IWBT2022), in conjunction with 27th International Conference on "Database Systems for Advanced Applications" DASFAA 2022, April 11-14, 2022, Hyderabad, India.

• Reviewer - IEEE International Conference on Signal Processing and Communications (SPCOM), July 11 - 15, 2022, Indian Institute of Science Bangalore.

• Reviewer - IEEE World Congress on Computational Intelligence, July 18 - 23, 2022, Padua, Italy

• Reviewer - IEEE Region 10 Symposium TENSYMP 2022, July 1 - 3, 2022, Mumbai, India

• Reviewer - IEEE Global Humanitarian Technology Conference 2022, September 8 - 11, 2022 Santa Clara, USA

• Reviewer - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2022), Nov. 29th - Dec. 2nd 2022.

Journal Review

SADHANA - Academy Proceedings in Engineering Sciences, Frontiers in Bioengineering and Biotechnology, section Preclinical Cell and Gene Therapy, Geotechnical and Geological Engineering, Journal of Ambient Intelligence and Humanized Computing, Frontiers Nutrition, Alexandria Engineering Journal, SPIE Journal of Applied Remote Sensing, Frontiers in Genetics section Computational Genomics, Frontiers in Neuroscience section: Brain Imaging Methods, Frontiers in Oncology, Peer J Computer Science, Frontiers in Artificial Intelligence AI in Business, Frontiers in Big Data Machine Learning and Artificial Intelligence, Elsevier - Expert Systems with Applications, Elsevier - Knowledge Based Systems, Frontiers in Neurorobotics, Frontiers in Big Data, section Data Mining and Management, Frontiers in Artificial Intelligence, section AI in Food, Agriculture and Water, Frontiers in AI - Pattern Recognition Section, Frontiers in Public Health, Frontiers in Remote sensing - section Microwave Remote Sensing, Elsevier - Computational and Biotechnology journal, Hindawi - Scientific Programming

PhD Thesis Review

Anna University - Chennai, Nirma University - Ahmedabad, Savitribai Phule Pune University, Pune, University of Madras, Chennai

Talks

• Deep Learning - State of the art applications in computer vision, IEEE Gujarat Section - STEP talk, Ganpat University, 31st December 2022.
• Tutorial on Fake News Detection and Impact Analysis, Organizers - Minoru Kuribayashi, Mehul S. Raval, Mohendra Roy, APSIPA ASC 2022, Chiang Mai, Thailand, 7th November 2022.
• Advances in Deep Learning, GUJCOST sponsored One Week STTP on "Recent Advancement in Deep Learning", Dharmsinh Desai University (DDU), Nadiad, 28th March 2022.
• AI and Smart Cities - An overview, Online workshop titled "Artificial Intelligence in Smart City Development: Recent Trends and Future Prospective", 4th March 2022 (Friday),  Funded by Royal Academy of Engineering, UK.
• Deep learning in agriculture, adversarial example, and image dehazing, GUJCOST Sponsored online Faculty Development Program: Recent Trends & Advancements in ANN: Deep Learning, CHARUSAT University, Changa, 25th February 2022. 

2021

Journal Review

Journal of Ambient Intelligence and Humanized Computing - Springer, Journal of Applied Remote Sensing - SPIE, Computer Journal - Oxford University Press, SADHANA - Academy Proceedings in Engineering Sciences, Frontiers in oncology, International Journal of Computing and Digital Systems, IEEE Access, Computer Applications in Engineering Education - Wiley, Machine Learning with Applications - Elsevier, International Journal of Image and Graphics, Knowledge-Based Systems - Elsevier, Energy - Elsevier, International Journal of Computational Vision and Robotics (IJCVR) - Inderscience, IEEE Transactions on Multimedia, Frontiers In Computational Neuroscience, Archives of Computational Methods in Engineering - Springer, Frontiers in Oncology - Section Neuro-Oncology and Neurosurgical Oncology, Journal of Computational Science - Elsevier, Frontiers in Public Health, section Life-Course Epidemiology and Social Inequalities in Health

 Conference Committees

1. Member - Program Committee, 2021 International Joint Conference on Neural Networks (IJCNN 2021), July 18-22, 2021, Shenzen, China
2. Member - Program Committee, 2021 International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 6 - 11 June 2021, Toronto, Canada.
3. Technical Program Chair, 1st International Conference on Artificial Intelligence & Machine Vision, 24th - 26th September 2021, Gandhinagar
4. IEEE Global Humanitarian Technology Conference, Oct 19 - 23, 2021, Virtual
5. 4th Smart Cities Symposium, 21 - 23 November 2021
6. Advisory Committee Member, 4th Data Science for Agriculture and Natural Resource Management(DSANRM2021), Co-located with 9th Big Data Analytics Conference (BDA2021), Dec. 15th 2021.

Tutorial

Fake News Detection and its impact analysis, Mehul S Raval and Mohendra Roy, 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Dec. 14 – 17, 2021, Tokyo, Japan

Talks

1. CNN – Feature Visualization and Saliency Maps, Short Term Training Program, Deep learning and its applications, 24th Feb. 2021, CHARUSAT University, Changa
2. Glioblastoma Multiforme Tumor segmentation and overall survival prediction, AICTE FDP on "Artificial Intelligence Techniques with Machine Learning and Deep Learning for Engineering Applications" on 26th February, 2021.
3. Fundamentals of Machine Learning, STEP Program, IEEE Gujarat Section, 06th Mar. 2021, DDU Nadiad, India
4. Brain Tumor Segmentation and Over all survival prediction - The ML - CV way, 16th Mar. 2021, GUJCOST workshop on "Recent Trends in Artificial Intelligence, Machine Learning, and Computer Vision", CHARUSAT University, Changa, India
5. Reimagine Feecback and Assessment - Thematic Breakout session (with Dr Dhaval Patel), 14th May 2021, Ahmedabad Learning Dialogues: A Conference on Teaching and Learning, Ahmedabad University, India
6. Adversarial examples in Deep Learning - Attack and Defence, June 28, 2021, Ahmedabad University
7. Adversarial Examples in DNN - Proponent and Opponent Views, 03 Oct. 2021,Emerging Research Trends in Engineering - 2021, IEEE Gujarat Section.
8. Artificial Intelligence and Internet of Things in Era of Smart Manufacturing, 4th Nov. 2021, Corporate Technology and Engineering Academy, Larsen & Toubro, Madh, Mumbai
9. AI in Materials Engineering, 20th Nov. 2021, International Symposium on Materials of the Millennium:Emerging Trends and Future Prospects, PDEU, Gandhinagar.
10. AI and IOT for the Manufacturing Industry, 16th Dec. 2021, AICTE-ISTE Sponsored Refresher program on Deep Learning & its Applications (13th - 18th Dec. 2021), K. J. Somaiya Institute of Engineering &. Information Technology (KJSIEIT). Sion. Mumbai, Maharashtra, India

2020

• Workshop Co-Chair, Data Science for Agriculture and Natural Resource Management(DSANRM2020), Co-located with 8th Big Data Analytics Conference (BDA2020), Dec. 16th 2020.
• Program Co-Chair, One day Virtual National Workshop on AI for Fight Against CoVID-19 (AIAC19), IEEE Ahmedabad University Student Branch, 24th Oct. 2020.
• Program Chair, National Seminar on Computer Vision & Image Processing (NaSCoVIP 2020), IEEE Gujarat Section, 9th - 11th Oct. 2020.

Journal Reviewer

SPIE Journal of Applied Remote Sensing(JARS), IEEE Access, IET Image Processing, Journal of Ambient Intelligence and Humanized Computing, International Journal of Computing and Digital Systems (IJCDS), SADHANA - Academy Proceedings in Engineering Sciences

Technical Programme committee member

• 26^th National Conference on Communications, 21 – 23^rd Feb. 2020, IIT Kharagpur.
• 2020 International Joint Conference on Neural Networks (IJCNN 2020), 19^th – 24^th July 2020, Glasgow, UK
• 13^th International Conference on Signal Processing and Communications, July 20-23, 2020, IISC Bangalore.
• 23^rd International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 4^th to 8^th 2020, Lima, Peru.
• 10th IEEE Global Humanitarian Technology Conference (GHTC), 29th Oct. to 1st Nov. 2020, Seattle, USA

Talks

• Diagnosing COVID19 using Medical Image Analysis, Short Term Training Programme (STTP) on "Leveraging Artificial Intelligence and Data Analytics for Healthcare, under AICTE-AQIS 2019-20,  K. J. Somaiya Institute of Engineering and Information Technology, Mumbai, India, 19.12.2020
• Challenges and Research Opportunities in Medical Image Analysis - Brain Segmentation Case Study, Short Term Training Programme (STTP) on "Leveraging Artificial Intelligence and Data Analytics for Healthcare, under AICTE-AQIS 2019-20,  K. J. Somaiya Institute of Engineering and Information Technology, Mumbai, India, 18.12.2020
• Emerging Technologies - Tech 2020 and Beyond, IC3 Virtual Residence Week, Ahmedabad University, 18.12.2020
• Computer Vision and Artificial Intelligence for Agricultural Automation, Virtual International Workshop on Data Science in Agriculture and Natural Resource Management (DSANRM 2020), Colocated with 8th International Big Data Analytics Conference, Ashoka University, India, 16.12.2020
• Examination during Pandemic: Challenges and Solution, AICTE and GTU sponsored Online Faculty Development Program (FDP) Rethinking and Restructuring an Examination System by Effective Technology, Ahmedabad, India 14.12.2020
• Robust Brain Tumor Segmentation and Overall Survival Prediction, AICTE sponsored International E- Conference on Data Analytics, Intelligent Systems and Information Security (ICDIIS ’20), Dr.Mahalingam College of Engineering & Technology, Pollachi, India, 11.12.2020
• Regression and Regularisation, GUJCOST sponsored National Shortterm training program, Ahmedabad Institute of Technology, Ahmedabad, 07.11.2020
• Personal Retrieval using Softbiometrics, Short term learning program - Advance Image Processing Research, Manipal University, Jaipur, 29.10.2020.
• 3D brain tumor segmentation, Short term learning program - Advance Image Processing Research, Manipal University, Jaipur, 27.10.2020.
• Introduction to the Reinforcement Learning, GUJCOST Sponsored Machine Learning: The Key Driver of Digital Transformation, DEPSTAR, CHARUSAT University, 16.10.2020.
• Diagnosing COVID19 using Medical Image Analysis, National Workshop on AI for Fight Against COVID-19 (AIAC-19), Ahmedabad University, 14.10.2020
• Challenges in medical image analysis, Research Wave, Silver Jubilee Foundation Day, Nirma University. 29.09.2020.
• Image Segmentation Techniques, Fractional Talk / Expert Talk series, Nirma University. 19.09.2020, 26.09.2020, 3.10.2020
• 3D Brain tumor segmentation, Under Section Technical Expert Program (STEP) of IEEE Gujarat Section, CHARUSAT, Changa, 12th September 2020. Video File
• Brain Tumour segmentation and Survival Prediction, AICTE STTP on Advances in Biomedical Signal Processing with Handson, MKSSS Cummins College of Engineering for Women, Pune, Maharastra, 10th September 2020. Link to Video File
• Robust Brain Tumor Segmentation for overall Survival Prediction, FDP on Algorithms and Techniques for Signal Processing, College of Engineering Pune, Pune, 18th July 2020.
• Digital Transformation through Data Science and Cyber Security, Webinar, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, 3rd June 2020.

2019

• Organising Chair, 7th International Conference on Big Data Analytics 2019, (BDA 2019), Ahmedabad, India, Dec. 17th - 20th, 2019.
• Track Chair and Member TPC, Signal & Image Processing, IEEE Indicon 2019, Rajkot, Gujarat, Dec. 13th - 15th, 2019.
• Organiser, Workshop on Machine Learning using Python (Tensorflow and Keras), Ingenium 2019, 19th - 20th Jan. 2019, Ahmedabad University, India
• Joint Secretary, IEEE Gujarat Section

Journal Reviewer

• International Journal of Electrical Engineering Education, SPIE Journal of Applied Remote Sensing(JARS), International Journal of Computing and Digital Systems (IJCDS), Wiley Journal of Software: Practice and Experience

Technical Programme committee member

• 25th National Conference on Communications (NCC) 2019, 20 - 23 February 2019, IISC Bengaluru, India.
• Twelfth International Conference on Contemporary Computing (IC3), 8th - 10th Aug. 2019, India.
• The 2019 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2019), September 22-23 2019 - Bahrain
• 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, October 13th to 17th, 2019 in Shenzhen, China.
• The Global Humanitarian Technology Conference (GHTC), Seattle, Washington, USA, October 17– 20th 2019
• IEEE TENCON 2019, Kochi, India, October 17th to 21st 2019.
• The 14th International Conference on Bio-Inspired Computing: Theories and Application (BIC-TA 2019) , Zhengzhou, China, November 22 – 25, 2019.
• IEEE Indicon, Rajkot, India, December 13th - 15th, 2019

Talks

• Video Analytics, Workshop on Big Data: Algorithms, Frameworks and Machine Learning Techniques for Problems in Evolving Networks and Computer Vision, The Seventh International Conference on Big Data Analytics (BDA 2019), Ahmedabad University, 17th Dec. 2019.
• Compressible Privacy Preserving System for Digital Images, Workshop on Information and Cyber Security Trends (ICST2019) Under Atal Scheme, IIIT Vadodara, Gandhinagar, 13th Dec. 2019.
• Access control, identification and authorisation, Training workshop on developing emerging nuclear security practitioners, PDPU, 21st Nov. 2019.
• Shallow ANN with Keras and Tensorlfow, AICTE sponsored two week FDP Programme on "DeepVision: Deep Learning for Visual Computing, CHARUSAT University, 19th Nov. 2019.
• Person Retrieval in Surveillance Videos using Deep Soft Biometrics, IEEE All India Computer Society Students and Young Professionals Congress (AICSSYC'19), AD Patel Institute of Technology, V V Nagar, 12.10.2019.
• Insider Threat Detection: Machine Learning Way, The International Conference on Smart Data, Smart Cities and Smart Governance, CEPT University, Ahmedabad, 4th Oct. 2019.
• Soft Biometrics for Person Retrieval in Unconstrained Surveillance Videos, SHU Engineering talk series, Sacred Heart University, Connecticut, USA, 30th July 2019.
• Our experiments with Project Based Learning (Jointly with Professor Tolga Kaya, Director Engineering Programme, SHU Engineering talk series, Sacred Heart University, Connecticut, USA, 26th July 2019.
• How does Artificial Intelligence impact you, SHU Engineering talk series, Sacred Heart University, Connecticut, USA, 11th July 2019.
• Soft biometrics for person retrieval in unconstrained surveillance videos, The 2nd International Conference “Parul University International Conference on Engineering & Technology, Vadodara, Gujarat, 25th May 2019
• Soft biometrics for person retrieval in unconstrained surveillance videos, UGC-SAP National seminar on Digital Image Processing and Computer Vision, Veer Narmad South Gujarat University, Surat, 2nd April 2019.
• Convolutional Neural Networks: Fundamentals and Applications, GUJCOST Seminar on Machine Learning and Deep Learning in Image Processing, Sankalchand Patel University, Visnagar, Gujarat, 8th March 2019.
• Basics of Deep Learning: Convolutional Neural Network, Workshop on Machine Learning using Python (Tensorflow and Keras), Ahmedabad University, 19th January 2019.

PhD Thesis Review

• Savitribai Phule Pune University, Pune, India
• Gujarat Technological University, Ahmedabad, Gujarat, India
• Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, India
• Uka Tarsadia University, Bardoli, Gujarat, India

2018

• Program Chair, IEEE CICS 2018 Special Session on Computational Intelligence for Digital Data Hiding (CIDDH), Nov. 18th - 21st 2018, Bengaluru, India
• Co-chair, Organizing Committee, 38th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, December 10–14, 2018, Ahmedabad University, India,
• Member, Programme committee, IWBT18: International Workshop on Blockchain Technologies, Colocated with 6th conference on Big Data Analytics, NIT Warangal, 18th December, 2018.
• Member, Programme Committee, Second Workshop on ‘Data Science for Agriculture and Natural Resource Management (DSANRM2018), Colocated with 6th conference on Big Data Analytics, NIT Warangal, 18th December, 2018.

Journal Reviewer

Hindawi Mathematical Problems in Engineering, SPIE Journal of Applied Remote Sensing(JARS), International Journal on Document Analysis and Recognition (IJDAR), Wiley Journal of Software: Practice and Experience, IEEE Transactions on Image Processing, International Journal of Information Security and Privacy (IJISP)

Kaizen 2018: B.E, M.E Final Year Project Review, L. D. College of Engineering, Ahmedabad, 12th April 2018

Book Review

• Signals and Systems, CRC Press, Taylor and Francis group
• Signal Processing and Data Analysis, CRC Press, Taylor and Francis group

Conference

• Signal 2018, May 20, 2018 to May 24, 2018 - Nice, France
• 2018 SYMPOSIUM Series on Computational Intelligence, 18 - 21 November 2018, Bengaluru, India
• International Workshop on Block Chain Technology (IWBT 2018), Colocated with 6th conference on Big Data Analytics, NIT Warangal, 18th December, 2018

Talks

1. Brain Tumor Segmentation using Convolution Neural Network, Seminar on Machine Intelligence in Image Processing, DA-IICT, Gandhinagar, 17th February 2018.
2. Introduction to MTech CSE (Data Science and Analytics) at School of Engineering and Applied Science, Sarvajanik College of Engineering and Technology (SCET), Surat, 3rd April 2018.
3. Brain Tumor Segmentation: Data Science Perspectives, Sarvajanik College of Engineering and Technology (SCET), Surat, 3rd April 2018.
4. Introduction to Machine Learning and Applications, STTP on Machine Learning: Tools, Techniques and Applications, LDRP Institute of Technology and Research, Gandhinagar, 30th April 201
5. Deep Learning : Introduction, Applications and Practical Issues, Dharmsinh Desai University, Nadiad, 3rd May 2018
6. Deep Learning: Preliminaries and Applications, Workshop on "Recent Trends in Data Science", CGPIT, Uka Tarsadia University, 11th May 2018.
7. Reversible Data Hiding for Security and Privacy, ISEAP - II Sponsored Five-Days FDP onResearch Topics in Information Security and Privacy (RTIS&P 2018), Department of Computer Engineering, SVNIT, Surat, June 19, 2018.
8. ML and 5G, DST-ASEAN and DST-UKIERI Project FDP on Advanced 5G Wireless Communications: Performance Analysis and Monte-Carlo Simulations; Ahmedabad University, Ahmedabad, 21st June 2018.
9. Machine learning using Python, Machine Learning & Big Data Analytics through R & Python Programming, U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa June 23, 2018.
10. Nuts and bolts of Deep Learning, Introduction to Deep Learning and its applications, Devang Patel Institute of Advance Technology and Research, CHARUSAT University, Sept. 1st, 2018.
11. Regression and Regularisation, Faculty Development Programme on Applied Machine Learning: A Practical based approach, VGEC Chandkheda, Oct. 15th 2018
12. Person retrieval using soft biometrics, GUJCOST Workshop Deep Learning for Visual Computing, CHARUSAT University, 18th December 2018.
13. Deep learning and Building Keras Model, GUJCOST Workshop Data Science: Application and Practices in Python, Parul University, Vadodara, 22nd Dec. 2018.
14. Regression and Regularisation, SAMVAAD 2018, GUJCOST Workshop on Artificial Intelligence, Silver Oak College of Engineering and Technology, Ahmedabad, 24th Dec. 2018

Training Pograms

1. Learning Coalition: Project Based Learning Workshop for Faculty, Ahmedabad University, 7th March & 14th March 2018

2017

Talks and Tutorial

1. Probability and Statistics I and II, Summer School on Learning in Data Science, SEAS-AU, 18.7.2017 and 19.7.2017
2. Classification I and II, Summer School on Learning in Data Science, SEAS-AU, 21.7.2017 and 22.7.2017
3. SVM and Kernels, DST-UKIERI Faculty Development Program on Advance Wireless Communication, SEAS-AU, 18.8.2017
4. Securing biometrics using data hiding techniques I and II, Parul University, 11.10.2017
5. Problems in Image processing, Computer vision and Machine Learning, NRDMS-NSDI Service-Oriented Architecture for Spatial Data Integration and Reasoning, SEAS-AU, 17th Nov. 2017.
6. Tutorial Data Driven Deep Learning Approach for Image classification, AICTE-COEP FDP on Image processing and pattern recognition applications with hands on, College of Engineering Pune, 30th Nov. - 1st Dec. 2017.
7. Deep Learning Driven Image Classification, Short Term Training Program on Machine Learning and its applications, BVM Engineering College, V V Nagar, 23rd Dec. 2017

Reviewer

Journals

IEEE Transaction on Education, SPIE Journal of Applied Remote Sensing(JARS), Royal Society Open Science, Wireless communication and mobile computing, Elsevier Digital Communications and Networks, IEEE Access, International Journal of Computing and Digital Systems (IJCDS), International Journal of Information Security and Privacy (IJISP), Hindawi Mathematical Problems in Engineering, Proceedings of the National Academy of Sciences, Physical Sciences (NASA)

Conferences Technical program committee and Reviewer

Member, Technical Program Committee, DSANRM2017: Workshop on ‘Data Science for Agriculture and Natural Resource Management (DSANRM), International Institute of Information Technology (IIIT, Hyderabad), Hyderabad, India, December 12, 2017

Member, Technical Program Committee, National Seminar on Computer Vision and Image Processing, 8th - 9th September 2017

Organizing Committee member, DST-UKIERI Faculty Development Program on Advance Wireless Communication, SEAS-AU, Aug. 16th to Aug. 20, 2017

Chair, Program Committee, Summer School on Learning in Data Science, SEAS-AU, 17th July to 22nd July 2017

The 12th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2017) 1st -3rd, December, 2017, Harbin, China.

The Sixth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 16 - 19 December, 2017, Mandi, India

Intelligent Systems and Signal Processing, 24th - 25th March 2017, Vidyanagar, India

Signal Processing and integrated networks-2017, 2nd - 3rd March 2017, New Delhi, India

Signal 2017 May 21 - 25, 2017 - Barcelona, Spain

2nd International Conference on Computer, Communication and Computational Sciences, October 11-12, 2017, Phuket, Thailand

The International Conference on Data and Information Sciences (ICDIS-2017), November 3-4, 2017, Amarkantak, India

23rd National Conference on Communications, March 2nd - 4th 2017, IIT Madras, India

International Conference on Soft Computing and its Engineering Applications (icSoftComp-2017), 1-2 December 2017, Changa, India2016

Reviewer

Journals

IEEE Transactions on Instrumentation & Measurement, IEEE Transactions on Multimedia, National Academy of Sciences, India Section A: Physical Sciences, SPIE Journal of Applied Remote Sensing, Springer Plus, Journal of the Institution of Engineers (India): Series B, SADHANA - Academy Proceedings in Engineering Sciences

Member Technical Program committee / Reviewer

Conferences

• National Conference on Commmunication, NCC 2016, Guwahati, India, 4 - 6 Mar. 2016
• International Conference on Signal and Information Processing, IConSIP-2016, Shri Guru Gobind Singhji Institute, Nanded, Maharastra, India, 6 - 8 Oct. 2016
• Conference on Advances in Signal Processing 2016 , Pune, Maharastra, India, 9 - 11, June 2016.
• IEEE International Conference on Computing, Analytics and Security Trends, Pune, Maharastra, India, 19 - 21, Dec. 2016.

Talks

· Data hiding techniques for securing biometrics, Security Workshop, Okayama University, Japan, 26th July 2016

· Reflection on Living Within Olin Eco System, Olin College of Engineering, Needham, MA November 2016

· Image Processing: International Conference on Research and Innovations in Science, Engineering & Technology ICRISET-2017, 17-19, February-2017, Vallabh Vidyanagar, Gujarat India

· Robust Video Segmentation, LD College of Engineering. Ahmedabad April 2017.

2015

Reviewer

Journals

Springer Proceedings of National Academy of Sciences, India, Section A: Physical Sciences, Springer Journal of The Institution of Engineers (India): Series B, Journal of Applied Remote Sensing, International Society for optics and photonics (SPIE),

Conference

Member Technical Program committee / Reviewer

• Workshop Session on Big Data Analytics in Agriculture Co-located with Seventh Workshop on Big Data Benchmarking, India Habitat Centre, New Delhi, India, December 14-15, 2015.
• Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, Patna, India, 16 - 19th Dec. 2015.
• 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), Pietermaritzburg, South Africa, Dec. 01 - 03, 2015
• International Conference on Computational Aspects of Social Networks (CASoN), Pietermaritzburg, South Africa, Dec. 01 - 03, 2015
• IEEE International Conference on Systems, Man, and cybernetics (SMC2015) C- 04, Hong Kong, Oct. 9 - 12, 2015.
• International Symposium on Web of Things and Big Data (WoTBD 2015) , Bahrain, Oct. 2015
• The 10th International Conference on Bio-inspired computing: Theories and Applications (BIC-TA 2015), Hefei, China, 25th - 28th Sept. 2015.
• The International Symposium on Ensemble Networks and Software Engineering (SENSE-2015) , Kochi, India, 10 - 13th Aug. 2015.
• 6th International Conference on Pattern Recognition and Machine Intelligence, Warsaw University of Technology, Warsaw, Poland, 2015, June 30 - July 3 2015.
• IEEE International conference on Computing, Communication and Automation (ICCCA 2015), New Delhi, India, 15th - 16th May 2015
• Workshop on Industrial Internet during TENSYMP 2015, IEEE R10 Annual conference, Ahmedabad, India, 13th May 2015.
• Session Chair, Brainstorming workshop on Applications of ICT in Agriculture, Sardarkrushinagar Dantiwada Agricultural University , Dantiwada, Gujarat, 1 - 2 April, 2015.
• UGC SAP sponsored 2nd National Seminar on Natural language Processing and Data Mining (NLPDM - 2015), Veer Narmad South Gujarat University, Surat, India, Mar. 3 - 4, 2015.
• National conference on Communication (NCC 2015), IIT Bombay, Mumbai, India, 27th Feb. 2015 to 1st Mar. 2015.
• IEEE SPICES 2015, NIT Calicut, Kozhikode, India, 19 - 21 Feb., 2015.

2014

Honorary Position

• Vice Chair, IEEE Gujarat Section (2014):http://ieeegujaratsection.org.
• Vice Chair, IEEE Gujarat section Signal Processing Society Chapter (2014)
• Program Co - Chair, IEEE National seminar on Computer Vision, Image Processing and Graphics (NaSCOVIP) 2014, 19th and 20th Sept. 2014, Surat, Gujarat, http://ieeegujaratsection.org/nascovip2014/committees/
• Organizing Chair, IEEE Emerging Research Trends in Engineering (ERTE 2014), 19th - 20th July 2014, Ahmedabad,Gujarat, http://ieeegujaratsection.org/erte2014/committees/

Reviewer

Journals

Journal of The Institution of Engineers (India): Series B: Springer, Image and Vision Computing: Elsevier, IEEE Transactions on Multimedia, Taylor and Francis - International Journal of Computer Mathematics, SEAS - Image Processing, The National Academy of Sciences, Physical Sciences (NASA): Springer, Biomedical Engineering: Applications, Basis and Communications: World Scientific

Conferences Technical Program Committee member

• Advancement in Information Technology International Conference, Bandung, Indonesia, 29th – 31st December 2014.
• IEEE International conference on advanced networks and Telecommunication systems (ANTS 2014), 14th - 17th December 2014, New Delhi.
• IEEE Symposium on Industrial Electronics & Applications (ISIEA2014), Kota Kinabalu, Sabah, Malaysia, September 28 to October 1, 2014.
• IEEE Symposium on Wireless Technology & Applications, Kota Kinabalu, Malaysia, September 28 to October 1, 2014.
• 3rd International Conference on Advances in Computing, Communications and Informatics, Noida, 24th - 27th September 2014.
• International Workshop on Mobile Applications, Barcelona, Spain, 27-29 August 2014.
• 2014 International Workshop on the Design and Performance of Networks on Chip (DPNoC 2014), Niagara Falls, Ontario, Canada, August 17-20, 2014.
• 7th International Conference on Contemporary computing IC3 2014, Noida, August 7th - 9th 2014
• Nature and Biologically Inspired Computing (NaBIC’14), Porto, Portugal, July 30, 31 - August 01, 2014.
• Computational aspect of Social network, Porto, Portugal, July 30, 31 - August 01, 2014.
• 10th IEEE Colloquium on Signal Processing and its Applications (CSPA2014) IEEE Malaysia Chapter Control Systems Society, Kuala Lumpur, Malaysia on the 7th to 9th of March 2014.
• National Conference on Communication (NCC 2014), 28th Feb - 2nd March 2014, IIT Kanpur.

2013

Journals

The Computer Journal, Oxford Journals, IEEE Transactions on Geoscience and Remote Sensing (TGRS), EURASIP Journal on Advances in Signal Processing, Taylor and Francis - International Journal of Computer Mathematics, IEEE Transactions on Multimedia

Reviewer and Technical Program Commitee Member: 2013

• IEEE Symposium on Computers & Informatics, Langkawi, Malaysia, from 7 - 9 April 2013.
• IEEE Business Engineering and Industrial Applications Colloquium 2013, Langkawi, Malaysia, 7 – 9 April 2013.
• 2nd IEEE International Conference on Advances in Computing, Communications and Informatics, Mysore, India, 22nd - 25th August 2013.
• IEEE Symposium on Wireless Technology & Applications, Malaysia, 22nd - 25th September, 2013.
• IEEE Conference on Wireless Sensors, Kuching, Malaysia, 2nd – 4th, December 2013.
• IEEE International RF and Microwave Conference (RFM 2013), Penang, Malaysia, 09 – 11, December, 2013.
• Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Jodhpur, India, 19 - 21st Dec. 2013.

• IEEE Access Outstanding Associate Editor of 2022
• Member - International Neural Network Society
• Member The Asia-Pacific Signal and Information Processing Association (APSIPA)
• Best Paper Award- Foram Shah, Dhaval Patel, Kashish Shah, Mehul S Raval, Mukesh Zaveri, Shabbir N Merchant, "Novel Crash Prevention Framework for C-V2X using Deep Learning," Workshop on Connected Vehicles And Autonomous Driving, Colocated with 15th International Conference on COMmunication Systems & NETworkS, 4th Jan. 2023, Bengaluru, India
• Best Paper Award - Snehal Rajput, Rupal Kapdi, Kanhaiya Sharma, Mehul S. Raval and Mohendra Roy, "Survival Prediction of Malignant Brain Tumor Patients," International conference on recent and future Trends in Smart Electronics System and Manufacturing and its applications (SESMIC), Dec. 2022, Pune, India
• Guest Associate Editor, Frontiers in Artificial Intelligence Section: Machine Learning and Artificial Intelligence
• International Travel Support by Science and Engineering Research Board, Government of India / Conference Grant by IEEE Computational Intelligence Society to attend IEEE IJCNN 2022, July 2022
• Review editor - Frontiers in Artificial Intelligence Section: Machine Learning and Artificial Intelligence - May 2022 - 
• Review editor - Frontiers in Imaging Section: Image coding- April 2022 - 
• 3rd Prize in the student paper competition at IEEE InGARSS - 2021 - Team (Maitrik Shah, Mehul S Raval, Srikrishnan Divakaran) - Paper - Deep Learning-Based Emulator for 6S Atmospheric Correction Model
• Member Association of Computing Machinery (ACM) - September 2021
• Outstanding Associate Editor, IEEE Access - 2018, 2019, 2020, 2021
• Chair, Computational Intelligence Society (CIS) Chapter, IEEE Gujarat Section, Jan - 2021 - Dec 2022.
• Member, Multimedia Security and Forensics (MSF), Technical Committee, Asia-Pacific Signal and Information Processing Association (APSIPA), Feb. 2020
• Editorial Board Member, Azerbaijan Journal of High-Performance Computing, Azerbaijan State Oil and Industry University (Baku, Azerbaijan), Jan 2020 - Jan 2021.
• Joint Secretary and Executive committee member, IEEE Gujarat Section. Jan - 2020
• 1st Rank on Survival Task, Multimodal Brain Tumor Segmentation Challenge 2019: 17th Oct. 2019, Team MARS: Rupal Agravat, Ahmedabad University, Mehul S Raval, Pandit Deendayal Petroleum University, India. Intel AI Prize
• 50 Fabulous Edutech Leaders Award, World Education Congress, Mumbai, 4th July 2019
• Enrolled as Fellow (F-1239879), The Institution of Engineers (India), Kolkata from 30th May 2018.
• Session Chair, Security in personal communication (SPC), 20th IEEE International Symposium on Wireless Personal Multimedia Communications (WPMC 2017), 18th Dec. 2017
• Joined as an Associate Editor, IEEE Access, 2017 - 
• NVIDIA Corporation GPU grant 2017 for Quadro K5200 GPU (8 GB), September 2017
• Best Paper Award at IEEE International Conference On Computing, Analytics and Security Trends (CAST-2016)" at College of Engineering Pune during 19th to 21st December, 2016.
• Argosy Visiting Associate Professor, Fall 2016, Olin College of Engineering, Olin Way, Needham, MA, 02492, US
• Fellowship under Sakura Exchange Program in Science for Collaborative Research Activity Course B at Okayama University , Japan, July - August 2016
• Appreciation Award as guide under Gandhian Young Technological Award (GYTI) - 2016 to CheckIT: A Low cost mobile OMR system: Students: Shaswat Sanghavi and Rahul Patel, B.Tech ICT, Ahmedabad University
• Distinguished Speaker Computer Society of India, Region III, 2015
• Appreciation Certificate for "Dedicated leadership and support of the activities for SPS Chapter", IEEE Signal Processing society (SPS), 2014
• Elected as Senior Member (SM), IEEE, 2013
• IEEE Region-10 Outstanding Branch Counselor award for 2012.
• Elected as Senior Member, Computer Society of India (CSI), 2009.
• Sardar Patel University and Hari Om Ashram Prerit Best Computer Science and Engineering Paper award, 2008.
• Elected as Fellow for Institution of Electronics and Telecommunication Engineers, New Delhi, 2008.
• Appreciation certificate from Sarvajanik College of Engineering and Technology for exemplary service, 2008.
• Indian Society for Technical Education (ISTE) Best Engineering College Teacher award for the State of Gujarat, 2005.
• Young Scientist Fellowship by Department of Science and Technology, GUJCOST, Govt. of Gujarat, 2005.
• Securing Best Chapter award for CSI Surat chapter for Category III, 2004-05.
• Best Paper award at National Conference on Image Processing (NCIP) Bangalore, 2005.
• First Rank, Master of Engineering-Electronics (Digital Systems), University of Pune, Dec. 2002