Summary
Asif Salekin is an assistant professor and director of the Laboratory for Ubiquitous and Intelligent Sensing at Arizona State University, specializing in human-centered AI for healthcare with 11 years of experience across academia and industry. He designs mobile, wearable, and passive sensing systems that enable automated diagnosis, continuous monitoring, and just-in-time interventions, with a research focus on distribution-shift robust personalization to make health AI reliably individual-specific. His work spans algorithmic fairness, verification and certification, privacy-preserving methods, and foundation-model approaches for multimodal sensing, bridging rigorous theory with clinical relevance through collaborations like his Mayo Clinic affiliation. A high-achieving PhD from the University of Virginia (3.975/4), he brings a rare combination of systems, ML, and biomedical engineering insight and a track record of translating sensor-driven research into trustworthy, ethically grounded health applications.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science in Engineering, Computer Science and Engineering, 3.86/4, Bachelor of Science in Engineering, Computer Science and Engineering, 3.86/4 at Bangladesh University of Engineering and Technology
Doctor of Philosophy - PhD, Computer Science, 3.975/4, Doctor of Philosophy - PhD, Computer Science, 3.975/4 at University of Virginia
English, Bengali