Publications include 'AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making', 'SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation', and 'Detection and Severity Assessment of Parkinson’s Disease by Analysis of Wearable Sensors Data Using Gramian Angular Fields and Deep Convolutional Neural Networks'. Has patent applications such as 'System AND METHODS FOR CLINICAL DECISION SUPPORT IN DIABETES MANAGEMENT'.
Research Experience
Currently a Graduate Research Associate at the Embedded Machine Intelligence Lab (EMIL), led by Dr. Hassan Ghasemzadeh. Previously worked as a Software Engineer at IQVIA, a Clinical Research Industry based in North Carolina, and as an Adjunct Lecturer at East Delta University.
Education
Ph.D. in Biomedical Informatics & Data Science, Aug 2023 - Present, Arizona State University; MS in Computer Science, Aug 2025 - Present, Arizona State University; MS in Biomedical Informatics & Data Science, May 2025, Arizona State University; B.Sc. in Computer Science & Engineering, 2017 - 2022, Bangladesh University of Engineering and Technology (BUET).
Background
Research interests include deep learning, explainable AI, human behavior modeling, mobile health, and wearable sensors. He is passionate about developing systems that enhance human-computer interaction and address everyday challenges.
Miscellany
In his leisure time, he enjoys outdoor activities, socializing with friends and family, and trying new culinary delights.