Organizers
Sabrina M. Neuman
Assistant Professor, Boston University
Sabrina M. Neuman is an Assistant Professor of Computer Science at Boston University. Her research interests are in computer architecture design informed by explicit application-level and domain-specific insights. She is particularly focused on robotics applications because of their heavy computational demands and potential to improve the well-being of individuals in society. She received her S.B., M.Eng., and Ph.D. from MIT, and she was a postdoctoral NSF Computing Innovation Fellow at Harvard University. She is a 2021 EECS Rising Star, and her work on robotics acceleration has received Honorable Mention in IEEE Micro Top Picks 2022 and IEEE Micro Top Picks 2023. She holds the 2023-2026 Boston University Innovation Career Development Professorship.
Brian Plancher
Assistant Professor, Barnard College, Columbia University
Brian Plancher is an Assistant Professor at Barnard College. His research is focused on developing and implementing open-source algorithms for dynamic motion planning and control of robots by exploiting both the mathematical structure of algorithms and the design of computational platforms. As such, his research is at the intersection of robotics and computer architecture / embedded systems, numerical optimization, and machine learning. He is passionate about improving accessibility of STEM education.
Radhika Ghosal
PhD Candidate, Harvard University
I’m a fifth-year PhD student in Computer Science at Harvard University, where I work in the Edge Computing Lab, advised by Profs. Vijay Janapa Reddi, David Brooks, and Gu-Yeon Wei.
I am interested in designing high-performance systems for robotics across multiple levels of the application stack: be it language design, runtime systems, or hardware accelerators. My research is supported by the NSF Graduate Research Fellowship (NSF GRFP).
I graduated with a Bachelor’s in Computer Science and Engineering from IIIT-Delhi in 2019, and have interned at Amazon Robotics (2023), Intel (2021), Microsoft Research (2018), and EPFL (2017) in the past.
For my notes on programming and electronics, head over to my blog; I used to run a series of graphic guides to algorithms on Algosaurus.
You can find me on GitHub.
Vijay Janapa Reddi
Associate Professor, Harvard University
Prof. Janapa Reddi is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard, he was an Associate Professor at The University of Texas at Austin. He is a founding member of MLCommons, serves on the MLCommons Board of Directors, and is a Co-Chair of MLPerf Inference. His primary research interests include computer architecture and system-software design to enable mobile computing and autonomous machines. His secondary research interests include building high-performance, energy-efficient and resilient computer systems.