Shankar Prawesh

PhD (University of South Florida, College of Business)

Assistant Professor, Department of Industrial and Management Engineering


Research Interest

 

Education

  • PhD University of South Florida, College of Business, 2009-2013
    Thesis Title: Applications of Agent Based Approaches in Business
    Thesis Supervisor(s):Balaji Padmanabhan, Kaushal Chari
  • Indian Institute of Technology, Kanpur. M. Sc. (Integrated-5 year program) in Mathematics and Scientific Computing, 2004-2009

Website(s)

CV

  • 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)

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

  • Text mining Approach to Measure Customer Satisfaction (with Amit Trivedi)

  • 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 ,
Kanpur 208016

Office Phone: 0512-259-6182 (O)

Email: sprawesh[AT]iitk.ac.in

 

   
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