CS seminar: Innovating healthcare through mobile health research
This event is in the past.
Speaker
Mahbubur Rahman, Senior Staff Research Engineer and Digital Biomarker Lead at Digital Health Team, Samsung Research America
Abstract
Mobile, non-invasive assessment of diseases and health behaviors using low-cost commodity devices is an unmet need for patient monitoring at home. The global pandemic caused by COVID-19 further highlights the need for remote monitoring technologies when both chronic and infectious patients are staying at home. Moreover, costly healthcare resources in low- and middle-income countries are mostly accessible to wealthy individuals. This talk will focus on the feasibility of developing low-cost, low-effort, comfortable health monitoring technologies towards making the health assessment available anywhere, anytime through users’ own mobile devices. It will highlight the promise and potential of mobile health research towards democratizing healthcare for all.
Bio
Dr. Mahbubur Rahman is working as a Senior Staff Research Engineer and Digital Biomarker Lead at Digital Health Team, Samsung Research America, based in Mountain View, California. His research interests include Wearable Physiological Computing, Human-Computer Interaction, Machine Learning, AI applications for digital diagnosis and digital interventions. He is leading efforts in developing algorithms and models to infer health and behavior such as lung function, breathing, coughing, psycho-social stress, and social interactions from mobile sensor data. He has authored more than 65 research articles and filed 24 patents. Papers authored by him received several accolades including industry best paper award at IEEE Pervasive Computing (PerCom’20), Samsung Best Paper Award 2021, Best Poster award at IEEE BSN’19, and Honorable Mention at ACM UbiComp’16. He is also leading standardization of consumer health monitoring technologies through Consumer Technology Association (CTA). Before joining Samsung, he worked as a Research Scientist at Nokia Digital Health Lab.
He completed his BSc in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) and PhD in Computer Science focusing on Mobile Health (mHealth) from the University of Memphis, Tennessee, USA in 2016.