Vedant Das Swain
Scholar

Vedant Das Swain

Google Scholar ID: x7mC-94AAAAJ
New York University
human-computer interactionubiquitous computingfuture of workhealth & wellbeing
Citations & Impact
All-time
Citations
963
 
H-index
16
 
i10-index
22
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Published several papers at top-tier venues for Human-Centered Computing, including CHI, CSCW, UbiComp/IMWUT. Papers have received awards at CHI 2022 (top 5%) and CHI 2024 (top 1%). Honored with the Gaetano Borriello Outstanding Student Award and the GVU Foley Scholar Award. Research supported by IARPA, NSF, CDC, ORNL, and Semiconductor Research Corporation.
Research Experience
  • Prior to joining NYU, he was a Distinguished Postdoctoral Fellow in Human-Computer Interaction and Personal Health Informatics at Northeastern University. Currently, he is an Assistant Professor at the Department of Technology Management and Innovation, NYU Tandon School of Engineering, and leads research projects funded by NIDA/NIH and Microsoft.
Education
  • Ph.D. in Computer Science from Georgia Institute of Technology, co-advised by Prof. Munmun De Choudhury and Prof. Gregory D. Abowd; M.S. in Human-Computer Interaction from Georgia Tech; B.Tech in Computer Science & Engineering from IIIT-Delhi.
Background
  • Research interests include digital applications, models, and infrastructures aimed at improving worker mental health and ensuring sustainable performance. He takes a human-centered approach by identifying challenges and opportunities for societal adoption of intelligent systems for worker wellbeing; leverages theories from organizational sciences to inform new behavioral models of understanding worker mental health; and investigates novel digital interventions and reflection applications for better work behaviors.
Miscellany
  • Personal interests and other information not explicitly mentioned.