Supercomputers, massive machines that compute nearly-incomprehensible amounts of data in a blink of an eye, can anticipate complex weather patterns, simulate entire ecosystems, or explore how galaxies are created. And although these feats are far beyond what human minds alone could calculate, for supercomputers to continue to push the boundaries of knowledge requires individuals who are every bit as dynamic and innovative.
Prashant Pandey, an Assistant Professor of Computer Science in the Kahlert School of Computing, is being recognized as one of those people set to greatly extend the capabilities of high performance computing.
The Institute for Electrical and Electronics Engineers, or IEEE, is a leading authority in engineering and technology. It sets industry standards, publishes over 30% of the world’s electrical, electronic, and computer engineering literature, and sponsors upwards of a thousand conferences a year. Its Computer Society’s Early Career Researchers Award for Excellence in High Performance Computing celebrates “individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within 5 years of receiving their PhD degree.” Pandey is one of the three computer scientists granted this year’s prestigious award.
Pandey received his Ph.D. in Computer Science from Stony Brook University in 2018, and afterwards completed postdoc work at both UC Berkeley and Carnegie Mellon University. His research interests lie in advancing the theory and practice of resource-efficient data structures and employing them to democratize complex and large-scale data analyses. He has published more than 30 papers in top conferences across a large variety of fields including stream processing, storage, and computational biology. Already, his work on high-performance data structures has been employed by several applications across industry and academia.
The award will be presented to Pandey at the SC23 Conference, held in Denver the second week of November.