Parthasarathy elevated to IEEE Fellow
Computer Science and Engineering Professor Srinivasan Parthasarathy has joined the distinguished ranks of Institute of Electrical & Electronics Engineers (IEEE) Fellow. He was named Fellow for his contributions to high performance data mining and network analysis.
IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation. More than 30 active Ohio State engineering faculty members are IEEE Fellows, including Dean Ayanna Howard and President Kristina M. Johnson.
Parthasarathy directs Ohio State’s Data Mining Research Laboratory, which is a part of the High End Systems Group and affiliated with the Laboratory for Artificial Intelligence Research. His group’s research is supported by the National Science Foundation, the Department of Energy, the National Institutes of Health and several industry sponsors. In 2021, a multidisciplinary team of researchers led by Parthasarathy received a $750,000 grant from the National Science Foundation’s Convergence Accelerator to help combat misinformation by providing decision-makers with organized access to credible information, especially during public health crises.
He was among the pioneers to enhance the locality of various frequent pattern mining algorithms while facilitating incremental, compressed and parallel analysis. He co-led the development of the ECLAT family of algorithms, popularized in leading textbooks in the field. He has designed award-winning novel architecture-conscious data structures and tiling strategies to enhance chip utilization and out-of-core performance on single node and cluster systems.
Parthasarathy also pioneered fundamental ideas for analyzing evolving networks, including his award-winning event-based framework and a simple probabilistic framework. He has designed groundbreaking algorithms for extracting robust modular and community structure from networks. He has developed new methods for graph representation learning that explicitly account for outliers with downstream applications for flood mapping from satellite imagery and biological network analysis.
In 2021, Professors Eric Fosler-Lussier and Yingbin Liang were elevated to IEEE Fellow. In 2020, Dean Ayanna Howard and Professors Ramteen Sioshansi, Jin Wang, Xiaorui Wang and Dong Xuan received the honor.
IEEE is the world’s leading professional association for advancing technology for humanity. Through its more than 400,000 members in 160 countries, the association is a leading authority on a wide variety of areas ranging from aerospace systems, computers, and telecommunications to biomedical engineering, electric power, and consumer electronics.
