Scholar
Vivek K. Singh
Google Scholar ID: Ef1hJ8IAAAAJ
Rutgers University
Citations & Impact
Citations
2,208
H-index
21
i10-index
43
Publications
20
Co-authors
14
list available
Resume (English only)
Academic Achievements
- Recipient of the ASIS&T SIG-Social Media Senior Researcher Award (2024)
- Best Paper Award at ACM Web Science Conference 2024 for 'Accuracy and Fairness for Web-Based Content Analysis under Temporal Shifts and Delayed Labeling'
- Best Paper Award from IEEE Intelligent Systems (2022) for 'Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing'
- Promoted to Associate Professor with tenure at Rutgers University effective July 2020
- Received multiple grants from the National Science Foundation (NSF), including for COVID-19 research (2020) and reducing bias in information algorithms (2019)
- NSF-funded research on cyberbullying detection (2015)
- Google Research grant (2016) for sensor-based understanding of information-seeking behavior
- 2015 study on uniqueness of credit card spending data published in Science, covered by The New York Times, Wall Street Journal, Nature News, etc.
- Research cited by the U.S. Court of Appeals in an NSA-related ruling (2015)
- Ph.D. student Jinkyung Park received Runner-Up for iSchool Doctoral Dissertation Award (2024)
- Published extensively in top venues including JAMIA, JMIR-Medical Informatics, Health Informatics Journal, CSCW, AACL, JASIST, ICWSM, FAccT, CHI, UbiComp/IMWUT, and PLOS ONE
Research Experience
- Leads the Behavioral Informatics Lab at Rutgers University
- Principal investigator of the Rutgers Well-being Study (2015–2020)
- Principal investigator of the Rutgers Wellness Study (2021–ongoing)
- Develops theory-aware algorithms using multimodal data (e.g., phone logs, social media) to model mental health, wellbeing, and trust
- Designs algorithms, interfaces, and frameworks to mitigate harms in digital environments
Background
- Associate Professor at the School of Communication and Information, Rutgers University
- Director of the Behavioral Informatics Lab at Rutgers University
- Research focuses on the intersection of human behavior and information technology
- Develops algorithms, interfaces, and frameworks to maximize the benefits of technology (e.g., mental health prediction) and minimize potential harms (e.g., privacy loss)
- Two main research themes: (1) AI for health and wellness; (2) Reducing harm in digital environments (e.g., cyberbullying, privacy loss, misinformation, algorithmic bias)
