W. “RP” Raghupathi, MBA, PhD, LLM
Program Director, Professor
Dr. Raghupathi is a professor of information systems and program director of the Master of Science in Business Analytics. He's also the director of Fordham University’s Center for Digital Transformation and runs the Gabelli School of Business Innovation Lab.
Dr. Raghupathi’s current teaching and research interests include analytics applied to financial technologies, healthcare, sustainability, and risk, as well as big data analytics and artificial intelligence methods. He has published more than 50 refereed journal articles, including several in the analytics field. He is co-editor for North America of the International Journal of Healthcare Information Systems and Informatics.
Prior to joining the Gabelli School of Business faculty, Dr. Raghupathi taught for many years at California State University, Chico. He received his bachelor of commerce and bachelor of law degrees from Osmania University (India), a master of commerce degree from Sri Venkateswara University (India), an MBA and PhD from the University of Texas (Arlington), and an LLM in intellectual property in information technology from Fordham University. He serves on the advisory board of Self Care Catalysts.
Aditya Saharia, PhD
Dr. Saharia teaches undergraduate and graduate courses in IT strategy, IT project management, e-commerce, and enterprise integration. He entered the field of information systems after beginning his career in theoretical physics.
Dr. Saharia's research focuses on information systems strategy, database theory, information economics, ERP systems, and service-center management. His projects include query optimization and query reuse in data-warehousing systems, IT and business alignment, IT integration in mergers and acquisitions, incentive- compatible contracts and quality in outsourcing contracts, and the effects of ERP adoption on internal audit function.
Before coming to the Gabelli School, Dr. Saharia served on the graduate faculty at the business schools of the University of Washington and University of Illinois, Chicago, where he supervised PhD candidates.
Leading journals that have published Dr. Saharia's work include IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems, Information Systems Research, Decision Support Systems, and the Journal of Management Information Systems. Before making the academic transition from physics to information systems, Dr. Saharia was published in leading journals in theoretical physics, including Physical Review, Nuclear Physics, and Physics Letters.
Dr. Saharia servers on the boards of several for-profit and nonprofit organizations. He earned his master’s degree at the University of Rochester and his PhD at Carnegie Mellon University.
Yilu Zhou, PhD
Dr. Zhou’s research interests include business intelligence, web/text/data mining, multilingual knowledge discovery, and human-computer interaction. Most specifically, she investigates and explores computational, intelligent, and automatic ways to discover interesting and useful patterns in news articles, web sites, forums, and other media. At the Gabelli School of Business, she teaches Web Analytics and Text Analytics.
Before joining the Gabelli School, Dr. Zhou was an assistant professor at George Washington University. She has published work in academic journals including the Journal of the American Society for Information Science and Technology, IEEE Intelligent Systems, and Decision Support Systems. She has taught courses related to business intelligence, data management, business programming, database and data warehousing, and business programming.
She received her BS in computer science from Shanghai Jiaotong University in Shanghai, China, and her PhD in management information systems from the University of Arizona, where she was also a research associate at the Artificial Intelligence Lab.
Pasumarti Kamesam, PhD
Clinical Associate Professor
Dr. Kamesam is a member of the information systems area faculty at the Gabelli School of Business. He received his doctoral degree in operations research from the University of Wisconsin, Madison. Prior to joining Fordham, he was a research scientist/manager at the IBM T.J. Watson Research Center in Yorktown Heights, New York.
His research interests are in operations research, information systems, machine learning, data mining and operations management. His research has been published in leading journals such as Annals of Operations Research, Mathematical Programming Studies, Operations Management, INFORMS journal Interfaces, SIGKDD and SIGIR. He also holds several U.S. patents.
Dr. Kamesam's work at IBM spanned many years and touched multiple areas, including supply chain management, mathematical optimization, unstructured information management, data mining and emerging technology evaluation.