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 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 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 received from GUJCOST for the period of two years (Summer 2021)
• Pedestrian-driver behaviour in Indian cities 
  • People: Dr. Keyur D. Joshi (Ahmedabad Univeristy), Dr. Maryam Kaveshgar (Ahmedabad University), and enthusiastic students
• Deep transfer learning for machine vision
  • People: Dr.  Keyur D. Joshi (Ahmedabad University), Dr. Vedang D. Chauhan (Western New England University), and enthusiastic students

Visit Google Scholar Profile: Here

Selected Publications

• “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

Courses:

• ECE501: Digital Image Processing (W21)
• MAT103: Calculus (M20)
• 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)
• MEC210: Strength of materials - Makeup (S19)
• CHE202: Fluid mechanics - Laboratory (W19, W20)
• CSC105: Introduction to computing and programming - Laboratory (W19)

Reviewer of following Journals:

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

Member of International Neural Networks Society

Member of American Society of Mechnical Engineers