Abin Binoy George

PhD Candidate · Computer Engineering · Boston University

I am a PhD candidate in Computer Engineering at Boston University's Robomorphic Computing Lab, advised by Prof. Sabrina Neuman. I am a recipient of the College of Engineering Convergent Fellowship.

My research is in robot–hardware co-design, exploring how computing hardware shapes the performance and efficiency of autonomous systems. I am broadly interested in computer architecture, reinforcement learning, and legged robotics.

I am currently a Research Intern at Basis Research Institute. During my undergraduate studies at BU, I worked at PeacLab (Prof. Ayse Coskun) and KABLAB (Prof. Keith Brown).

abg309 [at] bu.edu

Interests

Robot–Hardware Co-Design
Computer Architecture
Reinforcement Learning
Legged Locomotion
FPGA & Embedded Systems

Education

PhD in Computer Engineering, ongoing Boston University
MS in Computer Engineering, 2025 Boston University
BS in Computer Engineering, 2023 — Summa Cum Laude Boston University
BS in Mechanical Engineering, 2023 — Summa Cum Laude Boston University

News

Jun 2026 Started as Research Intern at Basis Research Institute.
May 2026 Received the ECE Graduate Teaching Assistant of the Year Award.
Dec 2025 Received M.Sc. in Computer Engineering from Boston University.
Jan 2025 Earned 3rd place at the CISE Graduate Student Workshop at Boston University.
Nov 2024 Co-organized RoboARCH: Workshop on Robotics Acceleration with Computing Hardware at IEEE/ACM MICRO 2024.
Sept 2023 Awarded the College of Engineering Convergent Fellowship.

Publications

Abin B. George, Anthony Byrne, and Ayse K. Coskun.

MicroFaaS on OpenFaaS: An Embedded Platform for Running Cloud Functions.

DAC ’23: 60th Design Automation Conference (Presentation) · IC2E ’23: International Conference on Cloud Engineering (Paper), 2023.

PDF DOI

Projects

Deep Reinforcement Learning for Robot Control

Developed a custom 3-DOF robotic model in MuJoCo and trained SAC and DQN agents for adaptive locomotion and terrain-aware behavior.
Reinforcement Learning · Robotics · MuJoCo
GitHub
DetectoVision — FPGA Vision Accelerator

Built real-time FPGA-based vision accelerators (Sobel, Hough transform) with BRAM-optimized memory. Full EDA workflow: RTL, synthesis, floorplanning, timing closure.
FPGA · Verilog · RTL Design
GitHub
Kernel-Driven Robotic Arm

Implemented Linux kernel-space device drivers enabling deterministic I/O and low-latency actuation for a robotic arm.
Linux Kernel · Embedded Systems · C
GitHub
Reinforcement-Learned Cache Replacement Policy

Implemented and benchmarked Hawkeye and RL-based cache replacement policies in GEM5.
Computer Architecture · GEM5
GitHub