• Shankar Prawesh and Balaji Padmanabhan (2014). The "Most Popular News" Recommender: Count Amplification and Manipulation Resistance. Information Systems Research, 25(3), 569–589. doi:10.1287/isre.2014.0529

• Shankar Prawesh, Manish Agrawal, and Kaushal Chari (2015). Effects of Project Owner’s Title on the Financial Impacts of IT Systems Integration Outsourcing Projects, Accepted at Information Systems Management

• Research Associate, Center for Complexity in Business Robert H. Smith School of Business, University of Maryland, College Park, 2013-2014

• Shankar Prawesh and Balaji Padmanabhan, "Multi-Objective News Recommender Systems", (WITS 2015, Dallas, TX, USA)

• Shankar Prawesh and Balaji Padmanabhan, "News Recommender Systems with Feedback", Thirty Third International Conference on Information Systems, (ICIS' 2012), Orlando, December 2012

• Shankar Prawesh and Balaji Padmanabhan, "Manipulation Resistance in Feedback Models of Top-N Recommenders", The 22nd workshop on Information Technologies and Systems, (WITS' 2012), Orlando, December 2012 (Best paper award, runner-up)

• Shankar Prawesh and Balaji Padmanabhan, "Probabilistic News Recommender Systems with Feedback", Sixth ACM Conference on Recommender Systems, (RecSys' 2012 - the premier conference in Recommender Systems), Dublin, Ireland, September 2012

• Shankar Prawesh and Balaji Padmanabhan, "Manipulation in Top-N News Recommender Systems", The 21st workshop on Information Technologies and Systems, (WITS' 2011), Shanghai, China, December 2011

• Shankar Prawesh and Balaji Padmanabhan, "The Top-N News Recommender: Count Distortion and Manipulation Resistance", Fifth ACM Conference on Recommender Systems (RecSys' 2011), Chicago, October 2011

• Shankar Prawesh and Balaji Padmanabhan, "Analysis of Probabilistic News Recommender Systems", Eighteenth Americas Conference on Information Systems (AMCIS' 2012), Seattle, Washington, August 2012.

• "Big Network Analysis for Influence Identification through Sampling of Network Graphs", Statistical Challenges in ecommerce Research (SCECR' 2014), Tel Aviv, Israel, June 2014 (with W. Rand and M. Henricks).

• "An Analysis of Conversations on Twitter", 2014 Winter Conference on Business Intelligence, Salt Lake City, Utah, March 2014 (with P. Wiriyathammabhum, W. Rand and L. Raschid).

• "Network Analysis for Influence Identification through Sampling of Network Graphs", 2014 Winter Conference on Business Intelligence, Salt Lake City, Utah, March 2014 (with W. Rand).

• "Analysis of Probabilistic News Recommender Systems", 2012 Winter Conference on Business Intelligence, Salt Lake City, Utah, March 2012 (with B. Padmanabhan).

• "Manipulation Resistant News Recommender Systems", 2011 Winter Conference on Business Intelligence, Salt Lake City, Utah, March 2011 (with B. Padmanabhan).

• "Social Media Analytics", (August 2015, Intel High Performance Computing Workshop, IIT Kanpur)

• "Topological Data Analysis", (March 2015, Mathematical Sciences Initiative, IIT Kanpur)

• "Feedback Models in Top-N News Recommender Systems", INFORMS 2012, session- Recommender Systems, Phoenix, Arizona, October 2012, (with B. Padmanabhan).

• "Manipulation Resistant New Recommender Systems with Feedback", INFORMS 2012, session- Personalized Recommender Systems, Phoenix, Arizona, October 2012, (with B. Padmanabhan).

• Santa Clara, California, June 2012 (Organized by IIT Kanpur Foundation).

• "Manipulation in Top-N News Recommender Systems", INFORMS 2011, session- Artificial Intelligence, Charlotte, North Carolina, November 2011 (with B. Padmanabhan).

• "Count Amplification in Top-N News Recommender Systems", INFORMS 2011, session- Information Systems, Charlotte, North Carolina, November 2011 (with B. Padmanabhan).

• Simulation based Crowd Management for Disaster Prevention (with Indanil S. Dalal, Anurag Tripathi, & Vinay P. Namboodiri)

• Feedback Based News Recommender Systems (with Balaji Padmanabhan) (under review)

• Functional Data Analysis in e-commerce (with Arvind Tripathi & Jitendra Singh)

• College of Business Outstanding Doctoral Student Research Award 2012

• University of South Florida, Graduate Fellowship 2009 – 2010

Office

Department of Industrial and Management Engineering,
IIT Kanpur ,
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Office Phone: 0512-259-6182 (O)

Email: sprawesh[AT]iitk.ac.in