Sabrina M. Neuman

Sabrina M. Neuman is an Assistant Professor of Computer Science at Boston University, specializing in computer architecture design informed by domain-specific insights, particularly for robotics applications. She holds a PhD in Electrical Engineering and Computer Science from MIT and was a postdoctoral NSF Computing Innovation Fellow at Harvard University. Her research focuses on closing computational gaps in robotics through domain-specific accelerators, leveraging robot morphology for hardware design. She has received honors including the 2021 EECS Rising Star and the Boston University Innovation Career Development Professorship (2023-2026).

Education:

• PhD in Electrical Engineering and Computer Science, MIT
• M.Eng. in Electrical Engineering and Computer Science, MIT
• S.B. in Electrical Engineering and Computer Science, MIT

Research Interests: Her work emphasizes domain-specific computing for robotics, including automated hardware design flows, FPGA/ASIC acceleration for motion planning, and scalable accelerator deployment across robot platforms. She develops methodologies like Robomorphic Computing, which translates robot morphology into customized hardware accelerators, achieving significant speedups in critical robotics kernels.

Awards & Recognition:

• 2021 EECS Rising Star
• IEEE Micro Top Picks Honorable Mentions (2022, 2023)
• 2023-2026 Boston University Innovation Career Development Professorship

Grants & Contributions:

• Developed RobotPerf, an open-source benchmarking suite for robotics computing systems
• Worked on Grid (GPU-accelerated rigid body dynamics) and RobotCore (ROS 2 hardware acceleration)

Labs & Teams: While no specific lab name is mentioned, her work integrates closely with Boston University's robotics and computer architecture groups, emphasizing open collaboration with industry and academia.