Disaster Relief during Hurricane Sandy

‘EventShop’ allows users to combine weather predictions, Twitter feeds, Red-Cross shelter info, and Census data to identify most risky areas. Users in risky zones were automatically informed about their nearest shelter location.

Personalized Medicine for Asthma patients

‘Situation Fencing’ can send personalized alerts to asthmatic users as they enter ‘risky zones’ based on a combination of enviromental and personal data streams (e.g. pollen count, air quality, fatigue level, heart rate)

Social ‘Reality Mining’ to predict spending behavior

Our ‘Social Reality Mining’ approach employs users social behavior signatures to predict their spending patterns.

Crime Prediction for London

Our team won the 1st prize at ‘Datathon for Social Good’, organized by O2, MIT, Telefonica and Open Data Institute, UK for predicting next month’s crime patterns for London. More here

Business Location Analytics

The ‘Social Pixels’ approach allows businesses to combine Twitter buzz and existing competitor information to decide on optimal store locations.

vivekVivek K. Singh, Ph.D.
Assistant Professor
School of Communication and Information
Rutgers University.

Visiting Assistant Professor,
The Media Lab,
Massachusetts Institute of Technology.

Email: vivek.k.singh@rutgers.edu
Phone: +1 848 932 7588
Homepage: http://wp.comminfo.rutgers.edu/vsingh

I have recently started the Behavioral Informatics research group at Rutgers University. The group looks at multiple problems at the intersection of Big Data Analytics, Computational Social Science, and Multimedia Information Systems.

The research group focuses on using mobile phones and other sensors for understanding and influencing human behavior. Active projects include:
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) 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.



Mar 2016: Excited about the forthcoming book Situation Recognition Using EventShop (Authors: Vivek Singh and Ramesh Jain). Published by Springer, available: April 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.