Nafi Us Sabbir Sabith
About
Nafi Us Sabbir Sabith is an Assistant Professor of Computer Science in the Resch School of Engineering at the University of Wisconsin–Green Bay.
His research lies at the intersection of machine learning, digital signal processing, mobile health, and AI-driven software engineering. He develops non-invasive, smartphone-based health monitoring platforms that leverage devices' built-in sensors for real-time physiological measurement — enabling accessible diagnostics without specialized equipment.
Before joining UWGB, Sabith earned his Ph.D. and M.Sc. in Computer Science from Marquette University, where he worked in the Ubicomp Lab designing full-stack mHealth systems. He also holds a B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology and has industry experience in natural language processing and Bengali OCR at REVE Systems Ltd.
At UWGB, Sabith is committed to bridging theory and real-world practice in the classroom. He teaches courses in Data Structures, Computer Architecture, Parallel and Distributed Computing, Artificial Intelligence, and Software Engineering, consistently integrating industry tools, gamified learning, and current research into his curriculum
Research Interests
● Mobile health (mHealth), Smartphone-based diagnostics, Non-invasive physiological sensing
● Machine learning , Federated learning
● Digital signal processing, Brain-computer interfaces
● AI-driven software engineering
Sabith's research focuses on building non-invasive, real-time health monitoring tools using everyday smartphones — including systems for white blood cell counting, hemoglobin prediction, and oxygen saturation monitoring from fingertip videos and PPG signals.
He is also investigating the integration of generative AI into software engineering education and early disease detection via smartphone-captured facial videos.
News
Grant - Awarded the UW–Green Bay Research Enhancement Program grant for project year 2026, supporting ongoing smartphone-based health monitoring research. 2026
Paper accepted - FedHemo — a federated CTAB-GAN+ framework for privacy-preserving non-invasive hemoglobin prediction using smartphone PPG signals — accepted at IEEE ICHI 2026.
Paper accepted - NIRNet: A Conditional GAN Framework for Transforming Non-NIR PPG Signals into NIR-Equivalent Waveforms for Contactless Physiological Monitoring — accepted at IEEE/ACM CHASE 2026.
Paper published - Towards a non-invasive mHealth platform — published in IEEE Computer, vol. 59, no. 1, January 2026. IEEE Computer
Paper accepted - Non-Invasive WBC Counting System: a scoping review — accepted in Nature BMC Systematic Reviews. Dec 2025 · BMC Systematic Reviews
Paper published - Smartphone-based non-invasive real-time white blood cell counter published in Nature Scientific Reports (15, 1594). 2025 · Scientific Reports
Teaching
COMP SCI 351: Data Structures Fall 2025, Spring 2026
COMP SCI 353: Computer Architecture & Organization Fall 2025
COMP SCI 42: Parallel & Distributed Computing Fall 2025
COMP SCI 464: Artificial Intelligence Fall 2025
SE 310: Software Engineering Fundamentals Spring 2026
Selected Publications
● Smartphone-based non-invasive real-time white blood cell counter leveraging blue light and static magnetic field. Sabith et al. Nature Scientific Reports 15, 1594 (2025). doi:10.1038/s41598-024-81459-y
● Towards a non-invasive mHealth platform. Sabith, Rabbani, Ahamed. IEEE Computer, vol. 59, no. 1, pp. 95–107, Jan. 2026.
● FedHemo: A Federated CTAB-GAN+ Framework for Privacy-Preserving Non-Invasive Hemoglobin Prediction using Smartphone-based PPG Signals. Sabith et al. IEEE ICHI 2026 (accepted).
● Towards a Multi-model Comparative Study for Non-invasive Hemoglobin Level Prediction from Fingertip Video. Sabith et al. IEEE ICDH 2024, Shenzhen, China, pp. 172–180.
● Non-Invasive WBC counting system: a scoping review. Sabith et al. BMC Systematic Reviews, December 2025.
● U.S. Provisional Patent No. 63/495,417 — Image cytometry-based non-invasive white blood cell count from fingertip videos.
Education
● Ph.D. in Computer Science, Marquette University (2025)
● M.Sc. in Computer Science, Marquette University (2025)
● B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2017)