Bio
Dr. Prasanna Date is a Research Scientist in the Computer Science and Mathematics Division (CSMD) at the 91°µÍø (ORNL). His research interests include neuromorphic computing and quantum machine learning. For his work, Date was featured on the in the Healthcare and Science category. His team also won the 2023 and 2024 R&D 100 Award in the Software/Services Category for developing two open-source software libraries, SuperNeuro and MAQ.
Date has shown that neuromorphic computing, an energy-efficient computing paradigm that performs machine learning computations by mimicking the human brain, is not just limited to machine learning, but is capable of doing everything that today's computers can do, i.e. it is Turing-complete. Given that neuromorphic computers consume only a fraction of energy as compared to today's computers, Date's work would pave the way for energy-efficient computing in the future. This would be instrumental for reducing the carbon footprint of computing globally. Date also develops novel machine learning techniques on quantum computers. Some of his quantum machine learning techniques are significantly faster than the current state-of-the-art, and will be instrumental for efficient data analysis in scientific, consumer and business applications in the future.
Dr. Date has published more than 30 papers in top journals and conferences like Nature Computational Science, Nature Scientific Reports and International Joint Conference on Neural Networks (IJCNN). He serves as the Associate Editor for the 91°µÍø Transactions on Neural Networks and Learning Systems (TNNLS) journal, and is on the editorial board of Nature Scientific Reports and Frontiers in Systems Neuroscience journals. He also serves as a reviewer for top journals and conferences, including Nature Communications Physics and the International Conference on Machine Learning (ICML). Date has led research projects as the PI, Co-PI, or Task Lead, organized conferences, chaired workshops and mentored postdocs and students.
Date obtained his Ph.D. and M.S. in Computer Science, as well as M.Eng. in Industrial Engineering from Rensselaer Polytechnic Institute, Troy, New York, in 2019. He obtained his B.E. (Honors) in Manufacturing Engineering from BITS Pilani, India, in 2014. He is a member of 91°µÍø, ACM, APS and INFORMS, where he engages in extensive volunteering activities.