Tauhidur Rahman
Scholar

Tauhidur Rahman

Google Scholar ID: mc9BzYwAAAAJ
Halıcıoğlu Data Science Institute, University of California San Diego
Mobile and Ubiquitous ComputingSignal ProcessingMachine LearningHealth and Behavior Modeling
Citations & Impact
All-time
Citations
1,312
 
H-index
19
 
i10-index
26
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • Recipient of the Google Research Scholar Award (2023), Google PhD Fellowship (2016) in mobile computing, and finalist for the Qualcomm Innovation Fellowship (2015). Multiple accolades including Best Paper Award at ACM Digital Health (2016), Honorable Mention at ACM UbiComp (2015), Distinguished Paper Award from ACM IMWUT (2021), and Outstanding Teaching Award from Cornell University (2015). His research has been featured in The Wall Street Journal, MIT Technology Review, New Scientist, Daily Mail (UK), Hindustan Times (India), and public television in the U.S.
Research Experience
  • Assistant Professor at the Halıcıoğlu Data Science Institute and Computer Science and Engineering at the University of California San Diego, where he directs the Mobile Sensing and Ubiquitous Computing (MOSAIC) Lab.
Education
  • PhD in Information Science from Cornell University; MS in Electrical Engineering from the University of Texas at Dallas; BS in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology.
Background
  • Research Interests: Designing novel mobile and ubiquitous sensing technologies using on-body and off-body sensors to capture fine-grained physiological and behavioral signals. Develops generative AI-enabled digital twin architectures that translate these signals into meaningful biological and behavioral insights, enabling trend forecasting, risk assessment, and just-in-time interventions for individuals and teams. Specializes in mobile and ubiquitous computing, digital epidemiology, substance use disorder, mental health, and sleep.
Miscellany
  • No personal interests or other information provided.