About Me

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 secure systems that enable machines to perceive, interpret, and interact with the physical world. 

We take a cross-stack approach—spanning algorithms, compilers, runtimes, and hardware—for applications such as 3D reconstruction, differentiable rendering,  perception, and multi-modal generative models (including VLAs, diffusion models,  and video generation).  We explore both, the data-driven approaches transforming visual computing, and the systems foundations required to make them practical.  Beyond speed, cost, and scalability, an important aspect is enabling efficient systems and hardware support for privacy and confidentiality in these AI systems.  

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.

Publication List

Academic Service and Organization

I help run the Systems@UofT Seminar Series. Send me an email if you would like to give a talk!

I also help organize VisArch: A Workshop on Systems and Architectures for Neural Rendering, AR/VR, and Visual Computing. Recent editions were at ISCA 2026 and ASPLOS 2026.

Contact

Email: nandita@cs.toronto.edu

Admin: phebe@cs.toronto.edu