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Ultrafast computational imaging: How the synergy between optics and computers can help CEMDI

Professor and researcher at INRS, Jyniang Liang will present his field of expertise, ultrafast computational imaging, on October 13, 2022 from 1:30 to 2:30 p.m. as part of the CEMDI seminar series.

October 13, 2022

From 01:30 pm to 02:30 pm

Énergie Matériaux Télécommunications Research Centre

Tudor-Johnston Room (2024)

1650 Lionel-Boulet Blvd.

Varennes, Quebec  J3X 1P7

Open to the scientific community

Have questions? Write to us



Ultrafast Imaging is indispensable to direct imaging of transient events in materials science. Among existing methods, compressed ultrafast photography (CUP) is a novel computational imaging modality that synergizes compressed sensing with streak imaging. Since its invention in 2014, many advances have been made to CUP in hardware improvement, software development, and application exploration. In this talk, we will review the working principle and representative advances of CUP technologies. Then, we will discuss the development of CUP technology at INRS and how it has contributed to the advanced materials characterization of rare-earth nanoparticles for optical thermometry. We hope that this presentation will spark discussions with colleagues and students of CEMDI in new collaborations and new applications using ultrafast computational imaging.


Professeur Jinyang Liang

Jinyang Liang is an Associate Professor and the FRQS Research Scholar at the Institut National de la Recherche Scientifique (INRS) – Université du Québec. He directs the Laboratory of Applied Computational Imaging (LACI). His research interests cover ultrafast imaging, high-precision laser beam shaping, optical physics, and biophotonics. He has published >50 journal papers including Nature (cover story), Nature Photonics, Nature Communications (x3), Science Advances (x2), and Light: Science & Applications (x2).

He has applied for 12 U.S. patents on ultrafast optical imaging technologies. He is a Senior Member of Optica and SPIE and serves as an Associate Editor of Optica’s Photonics Research. He received the 2019 Young Scientist Prize from IUPAP, the 2017 Educational Award–Gold from Edmund Optics, and the 2017 Discovery Accelerator Supplement Award from NSERC.

He received his B.E. degree in Optoelectronic Engineering from the Beijing Institute of Technology in 2007, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of Texas at Austin, in 2009 and 2012. From 2012 to 2017, he was a postdoctoral trainee at Washington University in St. Louis and the California Institute of Technology.


The Computational Energy Materials Design Infrastructure (CEMDI) is a platform that strives to foster innovation in the clean energy sector through collaboration and advanced computational research.