I am Md Farhan Tasnim Oshim, an Assistant Professor of Computer Science at Bard College. I received my Ph.D. in Computer Science from the University of Massachusetts Amherst, where my research focused on human-computer interaction through radar sensing, applied machine learning, and autonomous systems.

My research lies at the intersection of contactless sensing, signal processing, applied machine learning, AI-driven perception, and intelligent interactive systems. I develop advanced radar-based perception techniques for applications in healthcare, human-object interaction, and autonomous systems, with the goal of creating robust, real-world sensing technologies that bridge cutting-edge research and practical impact.

In addition to my academic research, I completed industry research internships at Tesla, Qualcomm, and Bosch, where I developed solutions for radar perception, gesture recognition, sensor fusion, and passive entry systems. Working across academia and industry has shaped my research on AI-driven sensing technologies with real-world impact.

Outside of research and teaching, I enjoy photography, hiking, and spending time with my family. Feel free to explore my publications and reach out if you are interested in collaborating or discussing research opportunities!

News

• Excited to join Bard College as a Tenure-Track Assistant Professor of Computer Science in July 2026.
• Successfully defended my Ph.D. dissertation, “Towards High-Fidelity Motion Characterization using Radar Vibrometry: Applications in Vital Sign Monitoring and Human-Object Interaction”, on April 29, 2026.
• I am teaching ‘COMSC 243PC: Physical Computing Workshop’ at Mount Holyoke College this Spring 2026!
• I am teaching CICS 256: Make - An Introduction to Physical Computing at UMass Amherst this Fall (2025)! This will be my fourth time teaching the course.
• Our paper “Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators” got accepted in 2025 IEEE Conference on Robotics and Automation, ICRA 2025.
• Delighted to share that I was awarded the 2025 Dr. Dave Lomet Graduate Scholarship for Systems Research at UMass Amherst.
• Our paper “NeRF-enabled Analysis-Through-Synthesis for ISAR Imaging of Small Everyday Objects with Sparse and Noisy UWB Radar Data” got accepted in the International Conference on Intelligent Robots and Systems, IEEE IROS 2024.