Shastri Lab

Team Members


Principal Investigator

Bhavin Shastri Profile PhotoBhavin 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 65 journal articles and 80 conference proceedings, 4 book chapters, and given over 40 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 the winner of the 2020 IUPAP Young Scientist Prize in Optics "for his pioneering contributions to neuromorphic photonics" from the ICO. He is a Senior Member of the OSA and IEEE, a 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.

 


Postdoctoral Researchers

Bicky Marquez Profile PhotoBicky Marquez
Postdoctoral Fellow
Ph.D. (Physics/Optics) Bourgogne-Franche-Comté University, France
bama@queensu.ca

Bicky Marquez received her Ph.D. in Optics/Photonics from Bourgogne-Franche-Comté University, France in 2018, where she worked for Professor Laurent Larger. She also holds a Bachelor's (2012) and Master's (2014) degrees from the Central University of Venezuela (UCV) and the Venezuelan Institute for Scientific Research (IVIC), respectively. Her interests and directions are focused on nonlinear and complex dynamical systems, machine learning & AI photonic hardware. Additionally, she likes to spend her free time travelling and painting/drawing. Check out her website for more information.

 

 


Graduate Students

Matthew Filipovich Profile PhotoMatthew Filipovich
Accelerated M.A.Sc. Candidate (Engineering Physics)

B.A.Sc. (Engineering Physics), Queen's University
matthew.filipovich@queensu.ca

Currently in his fourth year of Engineering Physics specializing in Computing at Queen’s University, Matthew is also pursuing an Accelerated Master’s degree in Applied Physics. He is very interested in the future implications and associated ethics of AI and machine learning in our society. Matthew is the incoming Technical Captain of the Queen’s Hyperloop Design Team and will be competing at the 2019 SpaceX Hyperloop Pod Competition this summer in Hawthorne, California. His other interests include travel, hiking, programming, and eating.

 

 

 

Zhimu Guo Profile PhotoZhimu Guo
Accelerated M.A.Sc. Candidate (Engineering Physics)

B.A.Sc. (Engineering Physics), Queen's University
15zg11@queensu.ca

Zhimu is accelerating from his B.A.Sc. in Engineering Physics, Computing option at Queen's University. Zhimu has a strong interest in working at the junction of the hardware and software for computer systems. He is also looking forward to exploring new technologies in the quantum computing realm, including integrated neuromorphic photonic processors for deep learning.

 

 

 

Hugh Morison Profile PhotoHugh Morison
M.A.Sc. Candidate (Physics)

B.A.Sc. (Engineering Physics), Queen's University
hugh.morison@queensu.ca

Hugh is pursuing his graduate degree at Queen’s researching neuromorphic silicon photonic systems. He received the B.A.Sc from Queen's in Engineering Physics with an option in Computing. His undergraduate thesis was on the simulation of silicon photonic neural network architectures. His interests are in novel computing systems and artificial intelligence.

 

 

 

Jagmeet Singh Profile PhotoJagmeet Singh
M.Sc. Candidate (Physics)
BS-MS (Physics), IISER Mohali, India
singh.jagmeet@queensu.ca

Jagmeet is a graduate student at Queen's University. He received the BS-MS dual degree from Indian Institute of Science Education and Research (IISER), Mohali, India with a major in Physics (2019). He previously worked on a classification problem using deep learning techniques in Belle II collaboration, Japan. He is interested in building new computer architectures using photonics, particularly neuromorphic computing that has application in deep learning problems. His research interests include AI, machine learning and cloud computing. In his spare time, he likes programming, reading history, listening to Punjabi folk music and playing basketball.

 

 

Ryan Burley
Accelerated M.A.Sc. Candidate (Engineering Physics)
B.A.Sc. (Engineering Physics), Queen’s University
16rjb7@queensu.ca

Ryan is currently in his fourth year of Engineering Physics at Queen’s University, specializing in electronics. He is also pursuing an Accelerated Master’s degree in Engineering Physics. His research interests include optical devices and semiconductor physics. Ryan is a consultant and project manager at Queen’s University Business & Engineering (QUBE), where he provides business strategy services to clients. His other hobbies include martial arts, reading, and music.
 

 

 

Marcus Tamura
M.A.Sc. Candidate (Physics)
B.A.Sc. (Engineering Physics), University of Alberta
20madt@queensu.ca

Marcus is pursuing a Master’s of Applied Science at Queen’s University. His B.A.Sc is in Engineering Physics with a Nanotechnology specialization, Mathematics minor and Co-op option at the University of Alberta. He is interested in neuromorphic systems, quantum neural networks, atomic scale devices and nanofabrication. His hobbies include playing board games, videogames, and 3D printing.

 

 

 


Undergraduate Students

Yashpreet Masson Profile PhotoYashpreet (Yash) Masson
B.Sc. Candidate (Physics)
yashpreet.masson@queensu.ca

Yash is in the 4th year of BSc in Physics. Her thesis on "Chaos-based secure communication with silicon photonics neural networks. Her research interests are in AI and its implications in daily life, quantum dot solar cell, and applications of nanotechnology in medicine. Her hobbies include sketching, programming, and hiking.

 

 

 

 

Anne Xie Profile PhotoAnne (Annie) Xie
B.ASc. Candidate (Physics)
18ax2@queensu.ca

Annie is a third year undergraduate student at Queen’s University majoring in physics. She is interested in the research of silicon photonics and is excited to see new technologies develop from this field. Her other interests include travelling and playing musical instruments.

 

 

 

 

Greg Love (co-advised with Prof. Nir Rotenberg)
B.Sc. Candidate (Physics)
17grl@queensu.ca

Greg is in his fourth year of a BSc majoring in Physics. His research interests include quantum computing, neural networks and silicon photonics. He also enjoys playing sports such as golf, hockey and volleyball.  He is currently a member of the Queen’s Men’s Varsity Volleyball team.

 

 

 

 

Adam Grace
B.ASc. Candidate (Engineering Physics)
adam.grace@queensu.ca

Adam is a fourth year BASc student in the Engineering Physics program at Queen’s University. He is interested in studying how neuromorphic computing can be implemented using silicon photonics to solve differential equations. In his time off he enjoys reading, running, playing sports, and travelling.

 

 

 

 

Nick Miemiec
B.ASc. Candidate (Engineering Physics)
n.miemiec@queensu.ca

Nick is currently in his fifth year of his B.A.Sc in Engineering Physics specializing in computing. Last year, he completed a 16-month internship at the Canadian space company MDA. He is currently the Chief Technical Officer for the Queen's Space Engineering Team, and is interested in researching applications of neural networks in silicon photonics.

 

 

 

 

Devyn Dowler-Lewis (co-advised with Prof. Nir Rotenberg)
B.A.Sc. Candidate (Engineering Physics)
devyn.dowlerlewis@queensu.ca

Devyn is in his 4th year of a B.A.Sc. in Engineering Physics with a computing specialization. His research interests include the integration of Neuromorphic Photonics with Linear Optical Quantum Computing for error reduction. In his spare time, he enjoys watching documentaries, reading, and taking naps

 

 

 

 

Eric Leuty
B.A.Sc. Candidate (Engineering Physics)
16eal@queensu.ca

Eric is a fourth-year Engineering Physics student specializing in computing at Queen’s University. His research interests include implementing energy-based models using silicon photonics. His hobbies include reading, sailing, and swimming. 

 

 

 

 


Students at Princeton University

Thomas Ferreira de Lima
Ph.D. Candidate (Electrical Engineering)

Bachelor's (Physics) and Ingenieur Polytechnicien Master's degree, École Polytechnique, France
tlima@princeton.edu

Hsuan-Tung Peng
Ph.D. Candidate (Electrical Engineering)
B.S. (Physics), National Taiwan University, Taiwan
hpeng@princeton.edu

Philip (Yechi) Ma
Ph.D. Candidate (Electrical Engineering)
B.S. (Physics), Shanghai Jiao Tong University, China
yechim@princeton.edu