Mudhakar Srivatsa


Mudhakar Srivatsa


Distinguished Engineer, AI Platform


IBM Research - Yorktown Heights Yorktown Heights, NY USA


Mudhakar Srivatsa is a distinguished research staff member at the Distributed Cloud department in IBM T. J. Watson Research Center. His work is focussed on heterogeneous spatiotemporal data with applications to edge computing, AIOps and Hybrid AI Scaling. He is an IBM master inventor, authored over 200 research papers, 100 granted US patents, recipient of one IBM corporate award, one IBM Recognition Experience Honoree, nine IBM outstanding technical achievement awards and three IBM research division awards and has transitioned major software artifacts to various IBM products including: Hybrid Cloud (Cloud Pak for Data, Watson Studio, Watson Discovery, Cloud SQL Query, IBM Analytics engine), Data & AI (IBM Streams, SPSS Modeler, Db2 warehouse, Db2 BLU, Db2 event store, IBM Integrated Analytics System, Cognos and Planning Analytics), Automation (Watson AIOps, Instana SmartAlert open beta), AI Applications (Maximo) and Systems(db2 for i, Spectrum Scale). These machine learning algorithms have been used in production environment in various domains such as: CodeFlare (blogs, github), AIOps, remote sensing data, AI-assisted air traffic control (video), NASA space app challenge (github, video, blog), customer care analytics, maritime piracy, music festivals, connected vehicles, smart wildlife, and predicting asteroid encounters.

He serves as a technical area leader for Secure Hybrid Networks research in International Technology Alliance in Distributed Analytics and Information Sciences (DAIS-ITA), a research consortium formed from sixteen US and UK industrial and academic members (2016-21). He also served a principal investigator for Information Network Research in Network Science Collaborative Technology Alliance (2009-19). He serves on the editorial board for IEEE Transactions on Emerging Topics in Computing and serves as the program co-chair on IEEE SMDS 2021

Prior to joining IBM, he received a B.Tech in Computer Science and Engineering from IIT Madras with a minor in Operations Research in 2002, and a PhD in Computer Science from Georgia Tech in 2007.

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