Dr. Keyur D. Joshi is a researcher, teacher and learner in the fields relating to mechatronics engineering.
He completed his PhD in Mechanical Engineering from Queen’s University at Kingston, Canada in 2018 with the sub-area of machine vision. He was a teaching assistant at the university and taught mechatronics, instrumentation and control system related concepts. He has several publications on topics such as mechatronics, machine vision and digital image processing. His current research interests are machine vision, computer vision, fuzzy logic, deep machine learning and artificial intelligence.
 

Areas of Interest: 
Robotics, Machine Vision, Control Systems, Machine Learning, Industrial Automation, Fuzzy Logic, Artificial Intelligence.

Research in Progress: 

• Development of DivyaWear, a wearable haptic cueing system for visually impaired
  • People: Dr. Keyur D. Joshi (PI) and enthusiastic students 
  • Funding amount of Indian Rupees 9.9 Lakhs from University Research Board (URB), Ahmedabad University for the period of two years (starting from monsoon 2021)
• Development of a vision-based multi degree of freedom feeding serial manipulator for the patients suffering from neurological disorders and infectious disease (COVID-19)
  • People: Dr. Reena Trivedi (PI, Nirma University), Dr. Keyur D. Joshi (Co-PI, Ahmedabad University),  Priyam Parikh (Co-PI, Nirma University), Dr. Jatin Dave (Co-PI, Nirma University)
  • Funding amount of Indian Rupees 16.5 Lakhs from Gujarat Council of Science and Technology (GUJCOST) for the period of two years (starting from summer 2021)
• Pedestrian-driver behaviour in Indian cities 
  • People: Dr. Maryam Kaveshgar (Ahmedabad University), Dr. Keyur D. Joshi (Ahmedabad Univeristy) and enthusiastic students
• Delivery robot 
  • People: Dr. Maryam Kaveshgar (Ahmedabad University), Dr. Keyur D. Joshi (Ahmedabad University), and enthusiastic students
• Comparison of Deep Neural Networks Architectures for the application of Indian coin classification 
  • People: Dr. Keyur D. Joshi (Ahmedabad University) and Enthusiastic students

Visit Google Scholar Profile: Here

Selected Publications

• “Machine Vision Using Cellphone Camera: A Comparison of Deep Networks for Classifying Three Challenging Denominations of Indian Coins”, K.D. Joshi, D. Shah, V. Shah, N. Gandhi, S. J. Shah, and S. B. Shah, Accepted in 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) 2022, Boston, USA.
• “Estimating related words computationally using language model from the Mahabharata- an Indian epic”, V. Gadesha, K.D. Joshi, S. Naik, Submitted: April 2022; Accepted in Seventh International Conference on ICT for sustainable development. 
• “Trajectory planning of a 5 DOF feeding serial manipulator using 6th order polynomial method”, P.A. Parikh, R. Trivedi and K.D. Joshi; J. Phys.: Conf. Ser. 1921 012088; Presented in first International Conference on Advances in Smart Sensor, Signal Processing and Communication Technology (ICASSCT) 2021, Goa, India.
• “Reducing Image Compression Time Using Improvised Discrete Cosine Transform Algorithm”, K.D. Joshi, and V. Saha, Accepted in 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) 2022, Boston, USA.
• “Continuous Trajectory Planning of a 6 DoF Feeding Robotic Arm Using Novel Multi-Point LSPB Algorithm”, P.A. Parikh, R. Trivedi, and K.D. Joshi, Accepted in 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) 2022, Boston, USA.
• “Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation”, S. Agrawal, and K.D. Joshi, Accepted in 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) 2022, Boston, USA.
• “Face Detection-Based Depth Estimation by 2D and 3D Cameras: A Comparison”, P.A. Parikh, K.D. Joshi, and R. Trivedi, Accepted in 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) 2022, Boston, USA.
• “A Flexible Machine Vision System for Small Part Inspection based on a Hybrid SVM/ANN Approach”, K.D. Joshi, Vedang D. Chauhan and B.W. Surgenor. Journal of Intelligent Manufacturing, Springer US (2018). https://doi.org/10.1007/s10845-018-1438-3
• “Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images”, V.D. Chauhan, K.D. Joshi and B.W. Surgenor. 20th International Conference on Engineering Applications of Neural Networks (EANN19), 2019, Crete, Greece
• “Small Parts Classification with Flexible Machine Vision and a Hybrid Classifier”, K.D. Joshi, B.W. Surgenor. 25th IEEE International Conference on Mechatronics and Machine Vision In Practice (M2VIP) 2018, Stuttgart, Germany
• “Analysis of Methods for the Recognition of Indian Coins: A Challenging Application of Machine Vision to Automated Inspection”, K.D. Joshi, B.W. Surgenor and V.D. Chauhan. 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2016, Nanjing, China
• “A Low-cost Machine Vision System for the Recognition and Sorting of Small Parts”, G. Barea, B.W. Surgenor, V.D. Chauhan and K.D. Joshi. Tenth International Conference on Machine Vision (ICMV-17), 2018, Vienna, Austria
• “Real Time Recognition and Counting of Indian Currency Coins using Machine Vision: A Preliminary Analysis”, K.D. Joshi, V.D. Chauhan and B.W. Surgenor. Proceedings of the Canadian Society for Mechanical Engineering (CSME) International Congress, 2016, Kelowna, Canada
• “Color Guided Vehicle-An Intelligent Material Handling Mechatronic System”, P.A. Parikh, K.D. Joshi and S.Sheth. Proceedings of the 1st international and 16th National Conference on Machines and Mechanisms (iNaCoMM 2013), 628-635, 2013, Indian Institute of Technology Roorkee, India

Book Chapters

• “Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters”, V.D. Chauhan, K.D. Joshi and B.W. Surgenor. Communications in Computer and Information Science CCIS 744, 523-534, 2017, Springer, Cham
• “A trajectory planning for a five degree of freedom vertically downward assistive feeding robotic arm using linear path with parabolic blend”, P.A. Parikh, K.D. Joshi and R. Trivedi. A book chapter in Mechatronics and Machine Vision in Practice 4, Springer, Cham.

Courses:

• ENR506: Robotics (W23)
• ECE501: Digital Image Processing (W21)
• MAT103: Calculus (M20); MAT281: Multivariate Calculus (M22-W23, Bisem)
• ENR100: Visualization (W22)
• MEC300: Control Engineering Theory and Applications (W22)
• SCS350/ENR301: Control System Design (W20, W21)
• SCS351/ENR302: Control System Design - Laboratory (W20, W21)
• ENR403: Machine vision, learning, and applications (M19)
• MEC210: Strength of Materials (M19)
• ENR101: Product Realization (M19, M21, M22)
• MEC210: Strength of materials - Makeup (S19)
• CHE202: Fluid mechanics - Laboratory (W19, W20)
• CSC105: Introduction to computing and programming - Laboratory (W19)

Reviewer of the following Journals:

• Journal of Intelligent Manufacturing, Springer
• International Journal of Machine Learning and Cybernetics, Springer
• IEEE Access

Member of American Society of Mechnical Engineers (ASME)

• Faculty advisor,  ASME Ahmedabad University Student Section (Since May, 2020)

Member of the International Neural Networks Society (INNS)

Member of Institute of Electrical and Electronics Engineers (IEEE)

Member of Ahmedabad University Library Committee (Aug2019-Sep2022)

Current PhD student

• Vrunda Gadesha, research on Machine Learning for simplifying the hiring process

Full-time PhD students will be given 100% tuition fees waiver

Click here to know more about PhD at the school of engineering and applied sciences

Click here to apply for a PhD program at Ahmedabad University

International Students should contact by email first before applying

Areas for prospective students:

• Machine Vision & Machine Learning
• Artificial Intelligence & Smart Wearables
• Robotics & Mechatronics 

• Students with interests (matching with the Instructor's interest) may contact directly the instructor for project or research work. 
• Volunteers who want to work on something interesting may contact the instructor directly to see any available interesting work.
• Sincere students are welcome for their UG thesis.
• Remember, if you enroll for UG thesis, then you need to work sincerely and effectively; students have not received good grades otherwise.