Prof. Bhavin J. Shastri
at Queen's Univ
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
silicon photonics , photonic integrated circuits , neuromophic computing
Profile Summary

Bhavin J. Shastri is an Assistant Professor of Engineering Physics at Queen's University, Canada. He earned the Honours B.Eng. (with distinction), M.Eng., and Ph.D. degrees in electrical engineering (photonics) from McGill University, Canada, in 2005, 2007, and 2012, respectively. He was an NSERC and Banting Postdoctoral Fellow (2012-2016) and an Associate Research Scholar (2016-2018) at Princeton University. With research interests in silicon photonics, photonic integrated circuits, neuromorphic computing, and machine learning, he has published more than 50 journal articles and 70 conference proceedings, 4 book chapters, and given over 35 invited talks and lectures including 2 Keynotes. He is a co-author of the book, Neuromorphic Photonics (Taylor & Francis, CRC Press, 2017).

Dr. Shastri is a Senior Member of the IEEE, recipient of the 2014 Banting Postdoctoral Fellowship from the Government of Canada, the 2012 D. W. Ambridge Prize for the top graduating Ph.D. student, an IEEE Photonics Society 2011 Graduate Student Fellowship, a 2011 NSERC Postdoctoral Fellowship, a 2011 SPIE Scholarship in Optics and Photonics, a 2008 NSERC Alexander Graham Bell Canada Graduate Scholarship, including the Best Student Paper Awards at the 2014 IEEE Photonics Conference, 2010 IEEE Midwest Symposium on Circuits and Systems, the 2004 IEEE Computer Society Lance Stafford Larson Outstanding Student Award, and the 2003 IEEE Canada Life Member Award.
Publications (9)

Proceedings Article | 3 October 2022 Paper
Proceedings Volume 12204, 1220407 (2022) https://doi.org/10.1117/12.2633916
KEYWORDS: Photonic integrated circuits, Machine learning, Neural networks, Wavelength division multiplexing, Microrings, Resonators, Neurons, Matrix multiplication, Modulators, Laser sources

Proceedings Article | 3 March 2022 Presentation + Paper
Eric Blow, Thomas Ferreira de Lima, Hsuan-Tung Peng, Weipeng Zhang, Chaoran Huang, Bhavin Shastri, Paul Prucnal
Proceedings Volume 12019, 120190N (2022) https://doi.org/10.1117/12.2614131
KEYWORDS: Microwave photonic filters, RF photonics, Photonics, Signal processing, Modulators, Neural networks, Silicon photonics, Complex systems, Microwave photonics, Signal to noise ratio, Interference (communication)

Proceedings Article | 3 March 2022 Paper
Bhavin Shastri, Chaoran Huang, Alexander Tait, Thomas Ferreira de Lima, Paul Prucnal
Proceedings Volume 12019, 120190K (2022) https://doi.org/10.1117/12.2614865
KEYWORDS: Photonics, Neural networks, Machine learning, Silicon photonics

Proceedings Article | 6 August 2021 Presentation
Proceedings Volume 11804, 1180402 (2021) https://doi.org/10.1117/12.2606000

Proceedings Article | 10 March 2020 Presentation
B. Shastri, T. Ferreira de Lima, A. Tait, B. Marquez, H. T. Peng, C. Huang, V. Sorger, P. Prucnal
Proceedings Volume 11283, 1128314 (2020) https://doi.org/10.1117/12.2554476

Showing 5 of 9 publications
Conference Committee Involvement (11)
AI and Optical Data Sciences VI
25 January 2025 | San Francisco, California, United States
Silicon Photonics XX
25 January 2025 | San Francisco, California, United States
Photonic Computing: From Materials and Devices to Systems and Applications
19 August 2024 | San Diego, California, United States
Emerging Topics in Artificial Intelligence (ETAI) 2024
18 August 2024 | San Diego, California, United States
Machine Learning in Photonics
8 April 2024 | Strasbourg, France
Showing 5 of 11 Conference Committees
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