Srinivas Aluru is Executive Director of the Georgia Tech Interdisciplinary Research Institute (IRI) in Data Engineering and Science (IDEaS) and a professor in the School of Computational Science and Engineering within the College of Computing. He co-leads the NSF South Big Data Regional Innovation Hub which nurtures big data partnerships between organizations in the 16 Southern States and Washington D.C., and the NSF Transdisciplinary Research Institute for Advancing Data Science. Aluru conducts research in high performance computing, data science, bioinformatics and systems biology, combinatorial scientific computing, and applied algorithms. He pioneered the development of parallel methods in computational biology, and contributed to the assembly and analysis of complex plant genomes. His group is currently focused on developing bioinformatics methods for long reads, graph representations of genomes, and network methods using mutual information and Bayesian approaches. His contributions in scientific computing lie in parallel Fast Multipole Method, domain decomposition methods, spatial data structures, and applications in computational electromagnetics and materials informatics. Aluru is a Fellow of the American Association for the Advancement of Science (AAAS) and the Institute for Electrical and Electronic Engineers (IEEE), and the Society for Industrial and Applied Mathematics (SIAM). He is a recipient of the NSF Career award (1997), IBM faculty award (2002), Swarnajayanti fellowship from the Government of India (2007), and the John. V. Atanasoff Discovery Award from Iowa State University (2017). He serves on the editorial boards of the IEEE Transactions on Big Data, ACM/IEEE Transactions on Computational Biology and Bioinformatics, the Journal of Parallel and Distributed Computing, and the International Journal of Data Mining and Bioinformatics
ACM Fellow in 2020