1) The Rutgers Well-being Study where detailed personal data about user behavior, social interactions, and mobility are being used to predict their health status, emotions, and well-being.
2) Detecting and preventing cyberbullying in online environments.
3) Privacy of personal data in online and physical environments, where we study the newer problems brought to fore by large-scale human data collection and ways to mitigate them.
4) Sensor-Based Understanding of Information Seeking Behavior, where detailed personal data (e.g. phone, Fitbit data) are being used to understand user's information-seeking behavior.
Many of these projects are in collaboration with partners at MIT Media Lab and University of California, Irvine.
Note to prospective PhD students: Please check out the details for the PhD admission process here. I always try to answer any student queries regarding graduate school admission and life as a PhD student.
Oct/Nov 2018: Group members are excited to present work at ASIS&T AM (a,b,c) and ACM CSCW (a,b).
Sep 2018: Recent publications presented/accepted: CSCW 2018 ; IEEE Trans. Big Data; Online Information Review; J. Comp. Soc. Sci.
Sep 2017: Recent publications presented/accepted: CHI 2017 (a,b); ICWSM 2017; ACM MM 2017; IEEE Trans. Intell. Syst. & Tech.; CSCW 2018.
Sep 2016: Congratulations to the Behavioral Informatics Lab members on a very productive summer. Five conference publications accepted/presented (UbiComp'16 (a, b); ASONAM'16; SBP'16; and CSCW'17).
Mar 2016: Excited about the forthcoming book Situation Recognition Using EventShop (Authors: Vivek Singh and Ramesh Jain). Published by Springer, available: June 2016. Email me for a preview copy.
Mar 2016: Grateful to Google Research for funding our research project on Sensor-based understanding of information seeking behavior. Details.
May 2015: Intrigued to find the US Court of Appeals cite our recent Science paper in it's judgement (page 9) on the NSA case.
Mar 2015: Grateful to National Science Foundation for funding our research project on cyberbullying detection. Daily Targum report.
Feb 2015: Our study on uniqueness of credit card spending data came out in Science magazine. Media coverage includes New York Times, Wall Street Journal, Nature News, Harvard Business Review , and The Telegraph.