Dr. Mukul V. Shirvaikar
Professor at Univ of Texas at Tyler
SPIE Involvement:
Conference Chair | Editor | Author
Area of Expertise:
Real Time Systems , Neural Networks , Engineering Education , Image and Signal Processing , Robotics and Computer Vision , System-on-a-Chip Design
Websites:
Profile Summary

Dr. Mukul V. Shirvaikar earned the Ph.D. in Electrical and Computer Engineering from the University of Tennessee in 1993, an M.S. degree in Electrical Engineering from the University of Maine in 1988 and his B. Tech. (BSEE equivalent) in Electrical Engineering from Banaras Hindu University, India in 1986. His research interests are in the areas of real time image processing and engineering education, specifically recruitment and retention of electrical engineering students. Dr. Shirvaikar joined the University of Texas at Tyler in 2003 and has published over 30 refereed papers and was awarded several grants totaling over $1,000,000. Dr. Shirvaikar serves as an Associate Editor of the international Journal of Real Time Image Processing and is a member of the Technical Committee for the SPIE International Conference on Real Time Image and Video Processing. Dr. Shirvaikar has significant industrial experience, specializing in real time embedded imaging systems development including network cameras, digital still cameras and hard disk recorders for consumer electronics and security applications and high-speed automated visual inspection systems for semiconductors and the container industry. All of these products are currently in operation throughout the world.

Dr. Shirvaikar served as the Professor and Chair of the Department of Electrical Engineering from 2007 to 2013, when he returned to his academic duties. During his tenure the department had a successful ABET accreditation review, recruited two new faculty members with $665,000 in startup funding, maintained research funding of over $1 million per year, and doubled graduate student enrollment. He has been instrumental in developing and implementing an electrical engineering freshman experience course that led to the successful engagement and retention of students. In 2011, he was nominated to be a Member of the Tuning Oversight Council for Engineering in Texas by the Texas Higher Education Coordinating Board.
Publications (24)

Proceedings Article | 13 June 2023 Presentation + Paper
Proceedings Volume 12528, 1252806 (2023) https://doi.org/10.1117/12.2664895
KEYWORDS: Roads, Video, Sensors, Vibration, Accelerometers, Gyroscopes, Cameras, Transportation, Image processing, Global Positioning System

Proceedings Article | 13 June 2023 Presentation + Paper
Blake Richey, Mitchell Clay, Christos Grecos, Mukul Shirvaikar
Proceedings Volume 12528, 125280A (2023) https://doi.org/10.1117/12.2664894
KEYWORDS: Performance modeling, Education and training, Genetic algorithms, Data modeling, Power consumption, Instrument modeling, Design and modelling, Network architectures, Neural networks, Computer hardware

Proceedings Article | 27 May 2022 Presentation + Paper
Mitchell Clay, Christos Grecos, Mukul Shirvaikar, Blake Richey
Proceedings Volume 12102, 1210207 (2022) https://doi.org/10.1117/12.2622390
KEYWORDS: Performance modeling, Image processing, Microcontrollers, Data modeling, Quantization, Artificial intelligence, Process modeling, Network architectures, System on a chip, Data processing

Proceedings Article | 12 April 2021 Presentation + Paper
Blake Richey, Mukul Shirvaikar
Proceedings Volume 11736, 1173606 (2021) https://doi.org/10.1117/12.2587892

Proceedings Article | 12 April 2021 Presentation + Paper
Proceedings Volume 11736, 1173602 (2021) https://doi.org/10.1117/12.2580047
KEYWORDS: Neural networks, Mobile devices, Performance modeling, Image processing, Convolutional neural networks, Very large scale integration, Systems modeling, Pattern recognition, Optical character recognition

Showing 5 of 24 publications
Proceedings Volume Editor (1)

SPIE Conference Volume | 10 July 2023

Conference Committee Involvement (16)
Real-Time Image Processing and Deep Learning 2024
22 April 2024 | National Harbor, Maryland, United States
Real-Time Image Processing and Deep Learning 2023
1 May 2023 | Orlando, Florida, United States
Real-Time Image Processing and Deep Learning 2022
4 April 2022 | Orlando, Florida, United States
Real-Time Image Processing and Deep Learning 2021
12 April 2021 | Online Only, Florida, United States
Real-Time Image Processing and Deep Learning 2020
27 April 2020 | Online Only, California, United States
Showing 5 of 16 Conference Committees
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