Asif Salekin

Assistant Professor, School of Biological and Health Systems Engineering

Asif Salekin directs the Laboratory for Ubiquitous and Intelligent Sensing (UIS Lab) at the Ira A. Fulton Schools of Engineering, serving as an assistant professor at the School of Biological and Health Systems Engineering (SBHSE) and as a graduate faculty member in Computer Science and Biomedical Engineering, advising PhD students in the Computer Science and BME programs.

He is also serving as an affiliated faculty member in the John Shufeldt School of Medicine and Medical Engineering, leading efforts to integrate practical human-sensing AI and digital health training into medical education.

Additionally, he is serving as a Research affiliate at the Mayo Clinic, AZ, an affiliated faculty member at SUNY Upstate Medical University, NY, and Syracuse University, NY.

Salekin's research sits at the intersection of Human-Centered Computing, Machine Learning, Cyber-Physical Systems, and Usable Sensing Security and Privacy within the realm of Ubiquitous Computing, where a core focus is to integrate human-centered computing and sensing solutions to advance Smart and Mobile Health. His works have been featured in top-tier computer science venues, including IMWUT/Ubicomp, DAC, AAAI Applied Intelligence, EWSN, INTERSPEECH, etc., and prestigious journals, such as Nature Molecular Psychiatry, 2023, and PNAS 2022. Notably, one of his papers on Preclinical-stage Alzheimer’s Disease Detection received the prestigious IAAI Deployed Application Award in 2021. In 2016, his paper, titled "AsthmaGuide," was nominated for the Best Paper award at the Wireless Health 2016. He received the Graduate Student Award for Outstanding Research from the UVA CS Department in 2018.

To date, Salekin’s lab's research has been supported by two National Science Foundation (NSF) and four National Institutes of Health (NIH) grants, along with industry funding, including support from OpenAI. Currently, he is serving as an associate editor for the journal The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) and for the conference UbiComp, which is the leading publication platform for ubiquitous computing research. Salekin received his doctorate from the Department of Computer Science at the University of Virginia (Advisor: John A. Stankovic).

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My research centers on human-centered AI for healthcare, creating mobile, wearable, and passive sensing technologies to automate health diagnosis, monitoring, and timely interventions. A significant focus of my work is on distribution shift-robust personalization, aiming to improve the effectiveness and reliability of personalized health AI solutions. I also emphasize algorithmic fairness, mathematical verification, and certification of AI models, and the development of multimodal foundation models to ensure trustworthiness in healthcare AI systems. Privacy-preserving design is integral to my approach, bridging advanced AI methods with practical, robust, and impactful healthcare applications.