Assistant Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus
Jagat Sesh Challa is currently working as an Assistant Professor in the Department of Computer Science and Information Systems, Birla Institute of Technology & Science, Pilani. He is a core researcher of the Advanced Data Analytics and Parallel Technologies Laboratory. He completed his Bachelor's degree - M.Sc. (Tech.) Information Systems (2010), Master's degree - M.E. Software Systems (2012) and Ph.D. in Computer Science (2019), all three from the Department of CSIS, BITS Pilani. His area of doctoral research includes - High-Performance Data Mining and Stream Analytics with a specific focus on data indexing structures and techniques for handling big data. He also worked as a Postdoctoral Researcher at the Centre for Ultra-Scale Computing and Information Security Lab in the Electrical and Computer Engineering Department of Northwestern University, Evanston, Illinois, USA (2020), where he worked on Stream Analytics and Materials Informatics. He has published his work in top-tier conferences such as IEEE Cluster, IEEE Big Data, ICDCN, ACE, etc. and SCI journals such as Big Data Research, JCISE, OJCS, etc. He has also served as an independent reviewer for journals like ACM TOPC, ACM TKDD, IEEE IoTJ, etc. and conferences like IEEE Big Data, DASFAA, CVIP, ADMA, etc. He is a member of ACM and IEEE. His current research interests include - Big Data Analytics, Computer Vision, Federated Learning, Materials Informatics, and Human-Computer Interaction Studies for Education. He has received the 2023 Coursera Global Innovation Oustanding Achievement Award for the course "Introduction to Programming", taught as part of the online degree - B.Sc. in Computer Science, offered by BITS Pilani.
Dr Jagat is also the founding member and in charge of the Postman API and Coding Innovation Lab at the Rakesh Kapoor Innovation Center at the Pilani Campus. He is also an organizing member of the First and Second International Workshops on Multimedia Computing for Automated Urban Intelligent Systems (MCAUIS 2022/2023) in conjunction with IEEE MIPR 2022/2023.
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