Professional AssociationsProfessional Associations: ACM | IEEE | USENIX: The Advanced Computing Systems Association
Mudhakar Srivatsa is a distinguished research staff member and manager at the Distributed AI department in IBM T. J. Watson Research Center. His work is focussed on distributed machine learning and edge intelligence on spatial and temporal data gathered from heterogeneous data sources while being robust under adversarial settings. He is an IBM master inventor, authored over 100 research papers, 75 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: Cloud offerings (Cloud Pak for Data, Watson Studio, Watson Discovery, Cloud SQL Query, IBM Analytics engine), on-premise offerings (IBM Streams, SPSS Modeler, Db2 warehouse, Db2 BLU, Db2 event store, IBM Integrated Analytics System, Spectrum Scale). These machine learning algorithms have been used in production environment in various domains such as: 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. He also served a principal investigator for Information Network Research in Network Science Collaborative Technology Alliance. 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.
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