About

Md Golam Sarwar Murshed is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Texas Southern University (TSU). He earned his M.S. and Ph.D. from Clarkson University, NY, with research spanning efficient, robust, and explainable deep learning for real-world deployment across biometrics, computer vision, robotics, and cybersecurity. His work includes CRFSEG (Clarkson Rotated Fingerprint Segmentation), a deep learning system for accurately localizing and classifying rotated slap fingerprints (97.17% fingerprint matching accuracy), as well as EdgeLite, which achieves 92.37% accuracy on edge devices with a 13% parameter reduction. He has also introduced the Oriented Regional Proposal Network (O-RPN) to improve high-precision detection of oriented objects. His research has accumulated 875+ citations (as of August 2026) and has been supported by organizations including NSF-CITeR, Verizon, Badger Technologies, and WiSys. Before joining TSU, he was an assistant professor at the University of Wisconsin–Green Bay for three years. Earlier, he spent five years as a Lead Software Engineer at Samsung R&D, experience that informs his focus on efficient, deployable, trustworthy AI.

At a glance

Efficient object detection

Oriented object detection, deep learning, fingerprint segmentation (contact-based and contactless).

Biometrics at scale

Fingerprint segmentation and recognition (contact-based and contactless), including age-invariant segmentation, spoof synthesis, and template security.

Edge AI & deployment

Resource-aware model design and deployment for vision, robotics, and infrastructure (hazard detection, pavement distress), including EdgeLite-style efficiency.

Explainable & trustworthy AI

Robustness and interpretability for high-stakes recognition and security (e.g., face, fingerprint recognition), improved localization.

Texas Southern University

Assistant Professor (Aug 2026–Present)

• CS 250: Computer Networking
• CS 499: Capstone Project

UW–Green Bay

Assistant Professor (Aug 2023–July 2026)

• COMP SCI 464: Artificial Intelligence
• COMP SCI 371: Advanced Object-Oriented Design
• COMP SCI 373: Cloud Computing (course developed)
• COMP SCI 240: Discrete Mathematics
• COMP SCI 201: Introduction to Computing & Internet
• COMP SCI 120: Web Programming

Clarkson University

Teaching Assistant (Aug 2018–Dec 2019)

• EE 262: Intro to OOP & Software Design
• EE 260/360: Embedded Systems / Microprocessors