Abstract: While the big data revolution in the consumer, business, and social networks domains is widely known, a similar revolution is taking place in the sciences and engineering driven by high-throughput instrumentation. This talk will feature big data challenges in the life sciences, primarily due to advances in sequencing that resulted in several orders of magnitude throughput increases per unit cost during the last decade. These advances are democratizing big data generation capabilities and spawning new scientific inquiries that would not be feasible otherwise. High-throughput sequencers enable diverse applications, each requiring its own class of supporting algorithms. I will present an overview of my group’s research in addressing some of these issues through the development of efficient algorithms, high performance computing approaches, and community building efforts.
Bio: Srinivas Aluru is co-Executive Director of the Interdisciplinary Research Institute in Data Engineering and Science (IDEaS) and a professor in the School of Computational Science and Engineering at Georgia Institute of Technology. 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. Previously, he worked for fourteen years as a faculty member at Iowa State University. There, he held the Mehl Professorship and the Stanley Chair in Interdisciplinary Engineering, served as Associate Chair for Research in the Electrical and Computer Engineering Department, and Chaired the interdepartmental Bioinformatics and Computational Biology program.
Aluru conducts research in high performance computing with emphasis on parallel algorithms and applications, data science, bioinformatics and systems biology, combinatorial scientific computing with applications in computational electromagnetics and materials informatics, and applied algorithms. He is Chair of the ACM Special Interest Group on Bioinformatics, Computational Biology and Biomedical Informatics (SIGBIO). He is a recipient of the NSF Career award, IBM faculty award, Swarnajayanti Fellowship from the Government of India, John. V. Atanasoff Discovery Award, and the Outstanding Senior Faculty Research award and the Dean’s award for faculty excellence at Georgia Tech. He is a Fellow of the AAAS and IEEE, and a recipient of the IEEE Computer Society Meritorious Service and Golden Core awards. https://www.cc.gatech.edu/~saluru/