Prawesh Shankar

Prawesh Shankar is an Associate Professor in the Department of Management Sciences at the Indian Institute of Technology Kanpur. He holds a PhD from the University of South Florida, College of Business, and completed his M.Sc. (Integrated 5-year program) in Mathematics and Scientific Computing at IIT Kanpur.

• PhD: University of South Florida, College of Business (2009-2013)
• M.Sc.: IIT Kanpur, Mathematics and Scientific Computing (2004-2009)

Dr. Shankar's research focuses on Social Media, Agent Based Simulation, and Fairness in Big Data. His work bridges the gap between computational methods and business applications, particularly in the domain of recommender systems and social network analysis. He has developed innovative approaches to news recommendation systems with emphasis on manipulation resistance and count amplification issues.

His publication record shows a consistent focus on recommender systems, with numerous conference presentations at prestigious venues including RecSys (the premier conference in Recommender Systems), ICIS, WITS, and INFORMS. His research has evolved from foundational work on manipulation resistance in news recommenders to more recent applications in social media analytics and network analysis.

• College of Business Outstanding Doctoral Student Research Award 2012
• University of South Florida, Graduate Fellowship 2009 – 2010

Dr. Shankar has delivered several invited talks on Social Media Analytics and Topological Data Analysis at IIT Kanpur events. His ongoing research projects include Simulation based Crowd Management for Disaster Prevention in collaboration with Indanil S. Dalal and Anurag Tripathi, and Text mining Approach to Measure Customer Satisfaction with Amit Trivedi.

He maintains active collaborations with researchers including Balaji Padmanabhan and has contributed to the academic community through presentations at major conferences in business intelligence and information systems.