GBAI Lab
Founder & Director
Green Bay AI Lab (GBAI Lab) focuses on efficient, robust, and explainable AI for real-world deployment. We work on resource-aware deep learning and edge AI for computer vision, trustworthy biometrics and cybersecurity, and efficient foundation models for constrained settings.
Student mentorship
Selected
Research mentorship (Ph.D.)
- Syed Konain Abbas — contactless fingerprint segmentation & spoof synthesis (2023–present) — 2 publications
- Rashik Shadman — explainable face recognition & transfer learning (2021–2025) — 2 publications
- Afzal Hossain — biometric recognition & security (2021–2023) · completed MS 2023
Undergraduate advising
- Logan Dewick — efficient object detection using AI (2023–2025)
- Bibesh Pyakurel — pavement distress detection using AI (2023–2025)
- Kong Yang — pavement distress detection using AI (2023–2025)
- Conrad Gende — edge hazard detection / deployment (2021–2022)
Academic service
Committees · Reviewing
Committees
- Member, AI Policy & Guidelines Committee, UW–Green Bay (2025–present)
- Member, Computer Science Curriculum Review Committee, UW–Green Bay (2024–present)
Reviewing & program committees
- Program Committee: IEEE ICMLA (2025)
- Journal reviewer: Springer Nature (Journal of Ambient Intelligence and Humanized Computing), Wiley, Elsevier
- Conference reviewer: IEEE ICMLA; IEEE ICWS; IEEE SERVICES; others