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Faculty

Vedang Dilipkumar Chauhan

Assistant Professor of Mechanical Engineering
Education:
Professional Engineer (P.Eng.), PEO, Ontario, Canada
Ph.D., Mechanical Engineering, Queen's University, Canada
Master of Engineering, Mechanical Engineering, Sardar Patel University, India
Bachelor of Engineering, Mechatronics Engineering, Sardar Patel University, India
Office: Law 212

Research Grants
  • Chauhan, V. (PI), “Continuing development of an Electronically Controlled Continuously Variable Transmission (E-CVT) System for Small Engine Applications”,  the Massachusetts Technology Transfer Center (MTTC) Acorn Innovation Fund, Janurary 2020 through August 2020.
  • Santamaria, A. (PI), Mortazavi, M. (Co-PI), Chauhan, V. (Co-PI), Benner, J. (Co-PI), “Two-phase Flow Characterization of PEM Fuel Cell Channels using Machine Learning: Phase II”,  Toyota Research Institute of North America, May 2020 - Feb 2021.
  • Santamaria, A. (PI), Mortazavi, M. (Co-PI), Chauhan, V. (Co-PI), Benner, J. (Co-PI), “Two-phase Flow Characterization of PEM Fuel Cell Channels using Machine Learning: Phase I”,  Toyota Research Institute of North America, May 2019 - Feb 2020.
  • Chauhan, V. (PI), “Design & Control System Optimization Testing of an Electronically Controlled Continuously Variable Transmission (E-CVT) System for Small Engine Applications”, MA Acorn Award through the Massachusetts Technology Transfer Center (MTTC), January 2019 through April 2019.
Mechatronics Lab
  • Advanced Fanuc LR Mate 200 iD industrial robot with iRVision system
  • National Instruments (NI) Smart camera for automated inspection
  • Robotic hand
  • PLC trainers with pneumatic system
  • Conveyor based machine vision system
  • Arduino Kits
  • Motor control kits
  • Software: MATLAB, LabVIEW, SolidWorks, RS Logix 500
Baja Club Advisor

The SAE Baja is a club on campus that focuses on building, accelerating, and improving students' design, business and teamwork skills. SAE Baja is hosted by the Society of Automotive Engineers. SAE tasks colleges worldwide to design, manufacture, and compete at one or more of their three yearly competitions with an off-road vehicle. At these competitions, the Baja vehicle is tested to its limits in an acceleration test, suspension course, maneuverability course, hill climb, and a four-hour endurance race. In addition to the testing of the Baja car at the competition, SAE challenges teams to present their design in a vigorous review session and to pitch 4000 units of their built vehicle to mock investors in a sales presentation. The WNE Baja team accomplishments include finishing 15th place overall against 100 teams worldwide in the 2018 SAE Maryland competition and being the first team in the United States (and second in the world) to implement at competition a very new transmission technology called an Electronically Controlled Variable Transmission.

ASME Club Technical Advisor for E-Fest

Journal Reviewer:

  • Journal of Machine Vision and Applications, Springer
  • Journal of Applied Science, MDPI
  • Sensors Journal, MDPI
  • Journal of AriEngineering, MDPI
  • Journal of Information, MDPI
  • Waste Management Journal, Elsevier
  • Electronics Journal, MDPI
  • Physica E Journal, Elsevier
     

CURRICULUM VITAE
INTERESTS

AI and Machine Learning

Apply machine learning and data science to efficiently solve engineering problems. Implement Artificial Neural Networks (ANNs) and Deep learning networks for logistic regression and object classification problems.

Machine Vision

Design and build automated inspection systems using machine vision and image processing techniques. Develop machine vision system for feature extraction from images and videos and apply AI/Machine Learning to the extracted data.

Robotics and Mechatronics

Develop vision guided material handling system using multiple degrees of freedom industrial robot such as Fanuc LR Mate. Design and develop mechatronics system for home and industrial automation.

Fluid Power

Hydraulics and pneumatic system design and control for material handling, manufacturing and assembly systems.

COURSES TAUGHT

Engineering Mechanics: Statics

Dynamics

Applied Mechatronics Systems

Advanced Mechatronics Systems

Kinematics and Control of Electro-Mechanical Systems

Senior Design Projects

Internship in Mechanical Engineering

PUBLICATIONS

Journal Articles

Joshi, K. D., Chauhan, V., Surgenor, B. W. (2018 , July ). A flexiblemachine vision system for small part inspection based on a hybrid SVM and ANN approach . Journal of Intelligent Manufacturing , 1-23.

Chauhan V., Joshi, K. D., Surgenor, B. W. (2017 , August ). Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters . Communications in Computer and Information Science (CCIS) ,744 , 523-534.

Chauhan, V. and Surgenor, B. W. (2016 ). Fault detection and classification in automated assembly machines using machine vision . The International Journal of Advanced Manufacturing Technology (IJAMT) , 1-22.

Gor, M. M., Chauhan, V. and Verma, A. (2016 ). Isomorphism Detection of 10-Links Kinematic Chain Using Joint Connectivity Approach . International Journal of Innovative Research in Science, Engineering and Technology ,5 , 8802-8806.

Chauhan, V. and Surgenor, B. W. (2015 ). A comparative study of machine vision-based methods for fault detection in an automated assembly machine . Procedia Manufacturing ,1 , 416-428.

Conference Proceedings

Joshi, K. D., Chauhan, V. and Surgenor, B. W. (2016 ). Comparative analysis of methods for the recognition of Indian currency coins . The 23rd conference on Mechatronics and Machine Vision in Practice (M2VIP), China.

Chauhan, V. and Surgenor, B. W. (2016 ). Performance evaluation of machine vision inspection for fault detection in automated assembly machines . roc. of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2016), Banff, Canada.

Joshi, K. D., Chauhan, V. and Surgenor, B. W. (2016 ). Real time recognition and counting of Indian currency coins using machine vision . Proc. of the Canadian Society for Mechanical Engineering (CSME) International Congress, Kelowna, Canada.

Fernando, H., Chauhan, V. and Surgenor, B. W. (2014 ). Image-based versus signal-based sensors for machine fault detection and isolation . Proc. of the 12th ASME Biennial Conference on Engineering Systems Design and Analysis (ESDA), Denmark.

Chauhan, V., Fernando, H. and Surgenor, B. W. (2014 ). Effect of illumination techniques on machine vision inspection for automated assembly machines . Proc. of the Canadian Society for Mechanical Engineering (CSME) International Congress, Toronto, Canada.

Chauhan, V., Sheth, S. and Hindocha, B., Shah, R., Dudhat, P. and Jani, P. (2011 ). Design and development of a machine vision system for part colour detection and sorting . Proc. of the Second International Conference on Signals, Systems and Automation (ICSSA-11), India.

Soni, A., Aghera, M., Modi, C. and Chauhan, V. (2010 ). Machine vision based part inspection system using canny edge detection technique . Proc. of the Fourth International Conference on Advances in Mechanical Engineering (ICAME), India.

Patel, A., Chauhan, V. and Gelot, B. (2010 ). Modelling and analysis of two machine problem to generate the reachability tree using petri net system . Proc. of the Third International Conference on Advances in Mechanical Engineering, India.

Modi, C. and Chauhan, V. (2009 ). Machine vision based liquid level inspection system using laplacian of gaussian edge detection technique . Proc. of the International Conference on Signals, Systems and Automation (ICSSA-09), India.

Chauhan, V., Gelot, B. and Patel, A. (2009 ). Development of algorithm for watermarking of an image in spatial domain using random numbers and bit plane slicing method . Proc. of the National Conference on Innovations in Mechatronics Engineering (IME), India.

Chauhan, V. and Verma, A. (2008 ). Application of fuzzy logic for determination of isomorphism among planner kinematic chain . Proc. of the National Conference on Emerging Trends in Mechanical Engineering, India.