Balaji Padmanabhan is the Anderson Professor of Global Management and a professor in the Information Systems Decision Sciences Department. He also served as the chair of the Information Systems & Decision Sciences department from 2013-2016. He has created and taught undergraduate, MBA/MS, and doctoral courses in areas related to business/data analytics, computational thinking, and electronic commerce.
In his work, he designs and applies analytics algorithms to solve business problems. Padmanabhan's specific interests and expertise include analytics and business Intelligence, designing analytics algorithms for business applications, managing analytics, building and evaluating predictive models, patterns discovery in data, business value of analytics, enabling citizen data science and applications of analytics in churn, healthcare, recommender systems, fraud detection and elections. He enjoys working with industry partners on applied research. Over the past twenty years he has worked with over fifteen companies on various data analytics initiatives often with a focus on innovative applications to drive business value
His research has been published in the premier computer science and business journals and conferences including ACM KDD Proceedings, ACM Transactions on MIS, Big Data, Decision Support Systems, IEEE Transactions on Knowledge and Data Engineering, Information Systems Research, INFORMS Journal on Computing, Management Science and MIS Quarterly. He serves on the editorial board and program committees of many leading academic journals and conferences in the field.
Padmanabhan received a B.Tech in Computer Science in 1993 from Indian Institute of Technology (IIT) Madras and a PhD from the Stern School of Business New York University (NYU) in 1999.
His professional service includes work on the program committees of several academic conferences such as WITS, ICIS, ACM KDD and IEEE ICDM. He has served as associate editor on the editorial boards of Information Systems Research, INFORMS Journal on Computing, ACM Transactions on MIS and as an ad-hoc associate editor for MIS Quarterly and Management Science.
- ISM 6136 - Data Mining (graduate data analytics course)
- GEB 4935 – Computational Methods in Business (business honors undergraduate course)
- ISM 6930 – Computational Methods in IS Research (doctoral course)
- The "Top N" News Recommender: Count Distortion and Manipulation Resistance, Shankar Prawesh and Balaji Padmanabhan. 2011. In Proceedings of the fifth ACM Conference on Recommender systems (ACM RecSys '11). ACM, New York, NY, USA, 237-244.
- From Information to Operations: Service Quality and Customer Retention, Padmanabhan, B., Hevner A., Cuenco, M., and Shi, C. In ACM Transactions on Management Information Systems, 2, 4, December 2011.
- From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data, Zheng, E., Fader, P. and Padmanabhan, B. In Information Systems Research, September 2012 23:698-720.