Faculty

Professor Bhalodiya addresses medical diagnostic tools and techniques research through computer science methods. His main clinical interests are cardiac and brain conditions. His technical interests are computer vision, image processing, and artificial intelligence methods. Professor Bhalodiya’s PhD research addressed developing a safe and accurate method to identify infarcted muscle in myocardial infarcted patients. For that, he developed a novel method that does not require a harmful gadolinium-based contrast agent injection. Moreover, he introduced the local weighted mean transformation function to the myocardial tracking and strain calculation problem-solving in 2D and 3D. Professor Bhalodiya’s post-doctoral research addressed efficient and accurate brain tumour diagnosis using multiple MRI sequences and artificial intelligence methods. Professor Bhalodiya employed various brain tumour segmentation methods to identify tumour areas. Moreover, he adopted radiomics features analysis to identify novel image biomarkers in brain tumour diagnosis. Professor Bhalodiya also has interests in arts. He depicts realism and expressionism through wildlife photography. His favourite subjects are birds. Professor Bhalodiya’s interview and photographs are published in internationally leading wildlife magazines. He encourages ethical wildlife conservation efforts.

I teach various courses to undergraduate and postgraduate students. I practice Project-Based Learning, interdisciplinary and multidisciplinary approaches, co-teaching, and ENABLE pedagogies to enhance learning. Moreover, my lecture delivery emphasises humility for a better learning experience.

1. FDP103 Water Studio (University Foundation)

2. ENR106 Introduction to Programming (Engineering Foundation)

3. CSE103 The World of Computer Science and Engineering (BTech CSE)

4. CSE602 Deep Learning (MTech CSE)

5. MGT301 Technology, Design and Business Models (Interdisciplinary)

6. CSE624 AI for Health (Interdisciplinary)

• Chairperson of Ahmedabad University Students Events and Activities Committee (AUSEAC) in the Office of the Dean of Students at Ahmedabad University (2023-2025)
  • We nurtured twenty-two student clubs, including several new clubs initiations, with a systematic approach to develop multi-faceted personalities in students, along with their academic success. We also supported a few student-led chapters for niche student interests.
• Chairperson of MTech in Computer Science and Engineering (CSE) at the School of Engineering and Applied Science at Ahmedabad University (2022-2023)
  • Coordinated the programme for its smooth functioning

Engineering

• Harman Jani, Mehul Raval, Kaumudi Joshipura, and Jayendra Bhalodiya. A 3D MambaVision Network for Brain Tumor Segmentation in MRI Images. The 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 26-30 July 2026, Toronto, Canada (2026).
• Urjit Mehta and Jayendra Bhalodiya. GPiSeT: Guidance Fused Pixel-Level Cell Segmentation Framework with Transformer Backbone. The 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 26-30 July 2026, Toronto, Canada (2026).
• Vrushti Patel and Jayendra Bhalodiya. U-Net with SSM-Inspired Gated Large-Receptive-Field Refinement for Fetal Abdomen Segmentation and Circumference Measurement using Ultrasound Images. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), pp. 1 - 4, April 8-11, London, UK. (2026) https://doi.org/10.1109/ISBI61048.2026.11515889 
• Prajakta Rathod, Shefali Naik, and Jayendra M Bhalodiya. Performance Analysis of Explainable Artificial Intelligence Methods in Epilepsy Detection. 22nd International Learning and Technology Conference: Human-Machine Dynamics Fueling a Sustainable Future, L and T 2025, pp. 321 - 326, January 15-16, Jeddah, Saudi Arabia (2025). https://doi.org/10.1109/LT64002.2025.10940497
• Prajakta Rathod, Shefali Naik, and Jayendra M Bhalodiya. Epileptic Signal Classification with CNN Models and Explainable AI. Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, pp. 1 - 7, January 3-5, Bangkok, Thailand (2025). https://doi.org/10.1109/IMCOM64595.2025.10857540
• Prajakta Rathod, Shefali Naik, and Jayendra M Bhalodiya. Epileptic signal classification using convolutional neural network and Shapley additive explainable artificial intelligence method. Neural Computing and Applications 37 (6), pp. 4937 - 4955, Springer Nature (2024). https://doi.org/10.1007/s00521-024-10915-7
• Prajakta Rathod, Shefali Naik, and Jayendra M Bhalodiya. Epilepsy Detection with CNN and Explanation with Layer-wise Relevance Propagation. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, June 24-28, IIT Mandi, Himachal Pradesh, India (2024). https://doi.org/10.1109/ICCCNT61001.2024.10726082  
• Snehal Rajput, Rupal A Kapdi, Mehul S Raval, Mohendra Roy, and Jayendra M Bhalodiya. Deriving and interpreting robust features for survival prediction of brain tumour patients. International Journal of Imaging Systems and Technology , 34 (3), art. no. e23105, pp 1-18, (2024). https://doi.org/10.1002/ima.23105
• Jayendra M Bhalodiya. Identification of MR image biomarkers in brain tumour patients using machine learning and radiomics features. Book chapter in Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine, pp. 131 - 147, Chapman and Hall, CRC Press, Taylor & Francis group (2023). https://doi.org/10.1201/9781003333425-7
• Prajakta Rathod, Jayendra M Bhalodiya, and Shefali Naik. Epilepsy detection using Bi-LSTM with explainable artificial intelligence. INDICON 2022 - 2022 IEEE 19th India Council International Conference, November 24-26, Kochi, Kerala, India (2022). https://doi.org/10.1109/INDICON56171.2022.10039816
• Jayendra M Bhalodiya, Sarah N Lim Choi Keung, and Theodoros N Arvanitis. Magnetic resonance image-based brain tumour segmentation methods: A systematic review. Digital Health, 8, pp 1-19, (2022). https://doi.org/10.1177/20552076221074122
• Jayendra M Bhalodiya, Arnab Palit, Gerard Giblin, Manoj K Tiwari, Sanjay K Prasad, Sunil K Bhudia, Theodoros N Arvanitis, and Mark A Williams. Identifying Myocardial Infarction Using Hierarchical Template Matching–Based Myocardial Strain: Algorithm Development and Usability Study. JMIR Medical Informatics, 9 (2), art. no. e22164, pp 1-14, (2021). https://doi.org/10.2196/22164
• Jayendra M Bhalodiya, Arnab Palit, Enzo Ferrante, Manoj K Tiwari, Sunil K Bhudia, Theodoros N Arvanitis, and Mark A Williams. Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation. Scientific Reports, 9 (1), art. no. 12450, pp 1-13, (2019). https://doi.org/10.1038/s41598-019-48927-2
• Jayendra M Bhalodiya, Arnab Palit, Manoj K Tiwari, Sanjay K Prasad, Sunil K Bhudia, Theodoros N Arvanitis, and Mark A Williams. A Novel Hierarchical Template Matching Model for Cardiac Motion Estimation. Scientific Reports, 8 (1), art. no. 4475, pp 1-12, (2018). https://doi.org/10.1038/s41598-018-22543-y

Wildlife

• Krishna Biswas, Nisarg Modi, Gogan Madam, and Jayendra M Bhalodiya. The First record of a Mallard Anas platyrhynchos × Northern Pintail Anas acuta Hybrid from Gujarat, India: Miscellaneous Note. Journal of the Bombay Natural History Society (2026) (Accepted)
• Jayendra Bhalodiya. The First Record of the Mallard Anas platyrhynchos × Northern Pintail Anas acuta Hybrid from Gujarat. DD News Gujarati, Doordarshan (2026)  https://www.instagram.com/p/DU0thM2jGCq/
• Jayendra Bhalodiya. The First Record of the Greater White-fronted Goose Anser albifrons in Junagadh and Porbandar Districts of Gujarat. DD News Gujarati, Doordarshan (2026)  https://www.instagram.com/reel/DUXp29dDZO9/
• Jayendra Bhalodiya. National Bird Day - History, Importance and Awareness: Invited Discussion. Doordarshan (2025) https://www.youtube.com/live/02e7T-iiK90 
• Jayendra Bhalodiya. Conservation of Endangered Species: Invited Talk for Paryavaran Cafe. DD News Gujarati (2024)   https://www.youtube.com/live/5uywQsCPhYI?si=H3bCBmwVeoEjKmJg
• Jayendra Bhalodiya. Vishesh Charcha on State of India's Birds 2023 Report: Invited Talk. DD News Gujarati (2023) https://www.youtube.com/watch?v=Y2P8OtMR8tc  
• Jayendra Bhalodiya. Sarus Crane and Demoiselle Crane: Photos. In Bombay Natural History Society (BNHS) poster of Cranes of India (2023)
• Jayendra Bhalodiya. Guest Columnist for Birds without Borders Column. The Indian Express (2023) 
• Jayendra Bhalodiya. Birds without Borders: In Flamingo Land of Gujarat, Sarus Cranes Keep Singing their Love Songs. The Indian Express (2023)
• Jayendra Bhalodiya. Birds without Borders: Indian Grey Hornbill, the Conjugal Love Birds that Love Gujarat Cities. The Indian Express (2023)
• Jayendra Bhalodiya. Series Convener of #DDEcoFriends Photo Stories' Series. DD News Gujarati (2022-23)
• Jayendra Bhalodiya. Sugari: Photo Story. DD News Gujarati, Doordarshan (2022)
• Jayendra Bhalodiya. Lesser Flamingos and Ghudkhurs of Little Rann of Kutch, India. Wild Planet (2022)
• Jayendra Bhalodiya. Indian Pond-heron Ardeola grayii Fights for Freedom at Mangalajodi. BUCEROS, Environmental Information System (ENVIS) Newsletter, Vol 26, No 2&3, Pp 19, Bombay Natural History Society (BNHS) Estd. 1883 (2022) 
• Jayendra Bhalodiya. Spectacular Mornings in Little Rann of Kutch. Wildlife Photographic Magazine, Issue 54, pg 86-87 (2022)
• Jayendra Bhalodiya. Playful Puffins: Tale from the Bush. Commisioned by BBC Wildlife Magazine (2021)
• Jayendra Bhalodiya. Lesser Flamingo: Photo. In Bombay Natural History Society (BNHS) poster of Central Asian Flyway-India's National Action Plan Priority Species (2021) 
• Jayendra Bhalodiya. Photo Challenge: Colour. Purple Sunbird. Wild Planet Photo Magazine, Issue 90, pg 80-81 (2021)
• Jayendra Bhalodiya. Five Minutes With: Interview. Wild Planet Photo Magazine, Issue 84, pg 222-231 (2020)

• Indian Patent (Patent Office Journal No. 18/2026, File No. 202621030429 A)
  • Innovators: Harman Jani, Jayendra M Bhalodiya and Mehul S Raval
  • Title: Systems and Methods for Segmentation of Anomaly Regions in Multi-modal Three-Dimensional Images of an Organ
  • Year: May 01, 2026

Engineering

• AI tool for tumour segmentation, characterisation, and diagnosis (Ongoing)
  • Role: Principal Investigator
  • The project is about developing a transformer-based deep architecture to segment brain tumours from multi-sequence MRI. The developed method will be utilised for tumour segmentation in glioma patients. Moreover, radiomics feature extraction and analysis will be performed to characterise tumour aggressiveness by assessing tumour components non-invasively. The developed methods will be tested with histopathology and gene expression for the tumour diagnosis.
• Cardiomyopathy teleconsultation app
  • Role: Principal Investigator
  • A tool to help consultant cardiologists in diagnosing cardiomyopathy patients to recommend a patient-specific management plan. The tool is empowered with robust assessment criteria practised over several decades by our collaborators. Moreover, it is easy for patients and clinical staff to use.
• AI tool for mugger crocodile conservation (Ongoing)
  • Role: Co-Principal Investigator and Technical Expert
  • AI-based tool development and mobile device deployment to track mugger crocodiles in the wild. The tool is based on drone imagery processed through deep neural networks.

Project: Epilepsy detection using deep neural networks and explainable artificial intelligence techniques

Student: Prajakta Rathod

Status: Degree awarded (May 2026)

Contributions: Thesis (available at Shodhganga), one SCI Q1 journal paper, five IEEE international conference papers (SCOPUS-indexed) 

Title: AI-enabled and Morphology Integrated Cell Segmentation and Spatial Transcriptomics Framework for Precision Oncology

Student: Urjit Mehta

Status: Degree awarded (May 2026)

Contributions: MTech Thesis and a full paper publication in the IEEE EMBC 2026 conference proceedings, Toronto, Canada.

Project: U-Net with SSM-inspired Gated Large-Receptive-Field Refinement for Fetal Abdomen Segmentation and Circumference Measurement using Ultrasound Images

Student: Vrushti Patel (BTech CSE 2023-2027)

Contribution: Paper publication in the proceedings of the IEEE ISBI 2026 international conference. April 2026, London, UK.

• Classcombinator.com - An EdTech tool for liberal education universities to enhance the student experience in efficiently selecting courses for an upcoming semester. Have a look at the project video. It is live at for Ahmedabad University students. The project was developed by the first-year students, Zeel Rajodiya, Tanisha Kanade and Vinisha Kankariya, in my Programming course.
• IndianSignLanguageTranslator - There are only 250 trained/untrained individuals for Indian sign language (ISL) translation, and the need is about 18 million people. There are tools for British and American sign language translation but limited tools for ISL translation. My first-year UG students Siya Dhaduk, Charmi Goyal and Priscilla R developed an ISL translation tool using AI and ML. It can perform text to sign and sign to text conversion. Have a look at the project video.
• AI Tool Development for Pathological Staining - It is an AI-based health tech solution to understand pathology without using chemicals. The method is developed using CycleGAN of deep learning. It produces virtually stained images of tissue slides without using chemicals and conventional staining methods. The developed method has the potential to be developed as a more sustainable, cost-effective, accurate, and widely accessible solution for pathological laboratories. The project is developed and nicely showcased with an animated project video by Niyati Patel.

• Club Mentor at the Photography Club of Ahmedabad University (2022-23)
• Faculty Mentor at Ingenium 2023, the annual technical festival of Ahmedabad University (2023)

• Porbandar Bird Count 2026: We conducted a systematic survey of avian biodiversity in and around Porbandar, Gujarat, covering all major wetlands, including Mokarsagar. The survey was the fifth annual bird count to record the abundance of waterfowl in the region. More than 4 Lakh birds of 249 species were recorded during the two-day bird count. Birders from across India contributed to the exercise. The exercise was jointly organised by the Bird Conservation Society, Gujarat (BCSG) and the Porbandar Forest Division of the Gujarat Forest Department, and sponsored by Saurashtra Chemicals. 
• Gujarat Bird Race 2026: We conducted a state-wide systematic survey of avian biodiversity in Gujarat. We cover all types of habitats to find out variety of bird species in different geographies within the state. A total of 369 bird species were reported by dozens of teams collectively within a single day. All the data was compiled and published on an open-access platform, eBird. The exercise was organised by Pranidhi Trust and Bird Conservation Society, Gujarat (BCSG), and sponsored by Tata Chemicals Ltd. https://ebird.org/tripreport/464382
• WINGS - Birds of India Gujarat 2025: We conducted a state-wide systematic survey of bird species in Gujarat as part of the WINGS - Birds of India program. It is a citizen science-based approach to raise awareness and document avian biodiversity and natural history. The exercise was sponsored by HSBC and Tata Chemicals. The event was coordinated by the Pranidhi Trust and Yuhina Eco Media. Major birding sites from 30 (out of 33) districts of Gujarat were surveyed during the event with 225+ birders. The event was widely covered by various media. Survey outcome: https://ebird.org/tripreport/314448/
• Pan-Gujarat Bird Race 2024: We conducted a systematic bird species survey as part of the HSBC IndiaBird Races 2024 in Gujarat with a citizen science approach to raise environmental awareness and support conservation efforts. The collected data were shared on the eBird platform. The exercise was coordinated by the Bird Conservation Society, Gujarat (BCSG) and sponsored by HSBC.
• Bird Talk at various schools to raise awareness of birds and avian biodiversity

• Royal Brompton and Harefield NHS Foundation Trust, London, UK (2019-20)
• Bagchi School of Public Health, Ahmedabad University, Ahmedabad, Gujarat, India