Scholar
Nandita Vijaykumar
Google Scholar ID: y7erynoAAAAJ
Assistant Professor, University of Toronto
Citations & Impact
Citations
2,413
H-index
23
i10-index
30
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks' (PACT 2022), 'GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud' (PACT 2022), 'CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture' (ICLR 2022), and more.
Research Experience
- Currently a Research Scholar at Amazon. Has worked for AMD, Intel, Microsoft, and Nvidia. Leads a research group focusing on cross-stack co-design, spanning algorithms, compilers, runtimes, and hardware, for workloads such as 3D reconstruction, neural rendering, spatial perception, and generative models.
Education
- Received Ph.D. and M.S. in 2020 from Carnegie Mellon University, advised by Prof. Onur Mutlu and Prof. Phil Gibbons. Worked as a visiting student with the Systems Group in the Computer Science Department at ETH Zurich.
Background
- Assistant Professor in the Computer Science Department at the University of Toronto and a faculty member at the Vector Institute. Leads the embARC Research Group. Research interests include the intersection of computer systems/architecture with visual computing, including computer vision, robotics, and machine learning. Particularly interested in building efficient, scalable, and programmable systems that enable machines to perceive, interpret, and interact with the physical world.
Miscellany
- Personal website: https://skylerhallinan.com/. Links to LinkedIn, Google Scholar, DBLP, and other academic and personal profiles.
