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Dr. Dayal is widely recognized for his contributions to information management, especially to data integration and federated databases, mechanisms for active databases that have now been widely adopted in real-time and complex event processing systems, and query optimization strategies. He is credited with pioneering the field of business process intelligence, combining business intelligence, analytics and optimization techniques to monitor, analyze, and optimize business processes. The Live Operations Intelligence technology he and his team created was the forerunner of social innovation solutions at the intersection of information technology (IT) and operations technology (OT).
Hitachi America, Ltd., Research & Development Division
Silicon Valley Research Center
3315 Scott Boulevard, 4th Floor
Santa Clara, CA 95054, USA
E-mail: Umeshwar.Dayal (please add "@hal.hitachi.com" to complete the address)
Umeshwar Dayal is a Senior Vice President and Senior Fellow (Information Research) at Hitachi America, Ltd., Global Center for Social Innovation - North America, and the Global Head of the Insights Laboratory.
In this role, he is responsible for research and technology innovation in big data and advanced analytics, leading to the creation of novel social innovation solutions in various industries, including energy, natural resources, healthcare, telecommunications, and transportation. Prior to joining Hitachi America, Umesh was an HP Fellow and Director of the Information Analytics Lab at Hewlett-Packard Labs, Palo Alto, California, a senior technical consultant at DEC's Cambridge Research Lab, Chief Scientist at Xerox Advanced Information Technology and Computer Corporation of America, and on the faculty at the University of Texas-Austin. He received his PhD in Applied Mathematics from Harvard University, and his M.E. and B.E. degrees from the Indian Institute Science. He has over 35 years of research and innovation experience in all aspects of data management and analytics. He is a Fellow of the Association for Computing Machinery (ACM), has received the Edgar F. Codd Award from the ACM Special Interest Group on Data Management (SIGMOD) for fundamental contributions to data management, and a Distinguished Alumnus Award of the Indian Institute of Science. He has published over 240 research papers and holds over 60 patents. He has given over 40 keynote and invited lectures at international conferences and workshops. He is an Editor-in-Chief of the VLDB Journal and a member of the Steering Committees of the IEEE International Conference on Data Engineering and the International Conference on Conceptual Modeling.