Nandita Vijaykumar
Assistant Professor (Computer Science), University of Toronto
Faculty Member, Vector Institute
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About Me
About Me
I am an assistant professor in the Computer Science Department at the University of Toronto and the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. I am currently a Research Scholar at Amazon. I am a faculty member at the Vector Institute for Artificial Intelligence, the Acceleration Consortium, and the Robotics Institute. I lead the embARC Research Group.
I received my Ph.D. and M.S. in 2020 from Carnegie Mellon University where I was advised by Prof. Onur Mutlu and Prof. Phil Gibbons. I was fortunate to also work with the Systems Group in the Computer Science Department at ETH Zurich as a visiting student. In the past, I have also worked for AMD, Intel, Microsoft, and Nvidia.
Research
Research
My group's research explores the intersection of computer systems/architecture with visual computing, including computer vision, robotics, and machine learning. I am particularly interested in building efficient, scalable, and programmable systems that enable machines to perceive, interpret, and interact with the physical world. Our work focuses on cross-stack co-design—spanning algorithms, compilers, runtimes, and hardware—for applications such as 3D reconstruction, differentiable rendering, perception, and multi-modal generative models. Our research has been supported by industry and academic partners including Intel, AMD, Amazon, LG, Sony, Rebellions AI, NSERC, MITACS, CentML, and CSE Canada.
You can read more about my group's research here.
Academic Service
Academic Service
Program Committees: MICRO 2026, ASPLOS 2026, MICRO 2025, MICRO 2024, MLSys 2024, ISCA 2024, HPCA 2024, MICRO SRC 2023, MICRO 2023, ISCA 2023, ASPLOS 2023, HPCA 2023 Industrial Track, MICRO 2022, USENIX ATC 2022, ISCA 2022, ASPLOS 2022, ICCD 2021, SBAC-PAD 2021, PACT 2021, MICRO 2021 Best Paper Award, MICRO 2021, ISCA 2021, USENIX ATC 2021, HPCA 2021, GPGPU 2020, PACT 2020, SRC PACT 2020, IISWC 2019, GPGPU 2019
Reviewer: ICCV 2026, CVPR 2026, ICLR 2026, Neurips 2025, ICLR 2025, CAL 2022, ASPLOS 2021, MICRO 2020, CAL 2021, CAL 2020, TACO 2020, TRETS 2020
Organization: Workshop Chair for HPCA 2023, Publication Chair for ASPLOS 2023, Sponsorship Chair for MICRO 2023, Session Chair at MICRO 2023, Publicity chair for ISPASS 2022, Workshop/Tutorial Chair for HPCA 2022
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