Definition
Ritu Agarwal is an Indian‑American computer scientist, academic, and researcher specializing in data mining, e‑commerce, and online advertising. She holds the Robert E. Koch Endowed Chair in Science and Technology at the New York University Stern School of Business and serves as director of the NYU Center for Data Science.
Overview
Agarwal’s research focuses on the extraction of actionable insights from large‑scale data, particularly in the contexts of digital marketplaces, consumer behavior, and advertising effectiveness. She has authored numerous peer‑reviewed articles in leading journals and conferences, and her work has been cited extensively in both academic and industry settings. In addition to her scholarly contributions, she has participated in advisory roles for governmental and corporate entities on data‑driven decision making.
Agarwal earned a Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Technology Delhi and a Ph.D. in Computer Science from Cornell University. Prior to joining NYU Stern, she held faculty positions at the University of Michigan’s College of Engineering. She is a Fellow of the Association for Computing Machinery (ACM), the Institute for Operations Research and the Management Sciences (INFORMS), and the IEEE. Her recognitions include the ACM SIGKDD Innovation Award (2015) and INFORMS Farkas Prize (2013).
Etymology/Origin
The name “Ritu” is derived from Sanskrit, meaning “season” or “period.” “Agarwal” is a common North Indian surname historically associated with the Agarwal community, traditionally involved in trade and commerce.
Characteristics
- Research Areas: Data mining, machine learning, e‑commerce analytics, online advertising, recommendation systems, and social network analysis.
- Key Contributions: Development of algorithms for large‑scale product recommendation, modeling of online consumer purchase behavior, and frameworks for measuring advertising return on investment.
- Academic Roles: Professor of Information Systems, director of the NYU Center for Data Science, and former associate department head at the University of Michigan.
- Professional Service: Editorial board member for journals such as Management Science and Information Systems Research; program chair for conferences including KDD and WWW.
- Awards & Honors: ACM SIGKDD Innovation Award (2015); INFORMS Farkas Prize (2013); elected Fellow of ACM (2020), INFORMS (2021), and IEEE (2022).
Related Topics
- Data mining and big data analytics
- E‑commerce and digital marketing research
- Machine learning applications in business
- Academic leadership in information systems
- Indian diaspora in computer science academia
All information presented is drawn from publicly available academic and institutional sources.