Research Interests:
Bio-Sensing
Smart Sensing
Mobile AI
Data Science
Security
m-Health
Indoor Localization
Research Experiences :
Department of Computer & Information Sciences, Towson University
Assistant Professor
Working on projects focusing on bio-sensing and security
Mentoring PhD students doing research in the field of smart sensing
Working with faculty from Old Dominion University on cybersecurity research
Engaging in interdisciplinary research collaboration with the School of Nursing at UNC Charlotte, focusing on mobile health technologies
Department of Software and Information Systems, UNC Charlotte
Assistant Teaching Professor
Engaging in interdisciplinary research collaboration with the School of Nursing at UNC Charlotte, focusing on mobile health technologies
Partnering with faculty from Towson University and Old Dominion University on cybersecurity research initiatives
Working with the Wang Lab of Temple University, PA
Worked with a PhD student at UNC Charlotte to design a defense mechanism for IoT attack mitigation in Smart Homes
WiNS Lab, UNC Charlotte
Graduate Researcher
Supervisor: Dr. Yu Wang, Professor, FIEEE, DMACM, Department of Computer and Information Sciences, Temple University.
Working with PPG Sensor-based Non-intrusive and Secure Smart Sensing and Applications
Investigated Visible Light-based indoor localization systems
Surveyed existing visible light-based indoor localization from 2014-2019
Explored visible light-based sensing systems
Optimized Resource Placement in Edge Computing
Wireless Network Lab, Bangladesh University of Engineering & Technology
Undergraduate Researcher
Supervisor: Dr. A.K.M.Ashikur Rahman, Professor, Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET).
Worked on a Wi-Fi-based system project
Designed and developed an attendance system based on Wi-Fi Signal Strength
Publications :
T. Li, D. Han, A. B. M. M. Rahman, "Matching or Not: Stochastic Perfect Matching of Task Assignment in Mobile Crowd Sensing", BigCom 2025
A. B. M. M. Rahman, T. Li, Y. Wang. Recent Advances in Indoor Localization via Visible Lights: A Survey. Sensors 2020, 20, 1382. [Editor's Choice Article]