Kevin Hsieh
Scholar

Kevin Hsieh

Google Scholar ID: e7rXLKAAAAAJ
Principal Researcher at Microsoft
Machine LearningDistributed SystemsNetworkingComputer Architecture
Citations & Impact
All-time
Citations
3,663
 
H-index
23
 
i10-index
26
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'NetVigil' (NSDI'24), 'NeMoCopilot' (HotNets'23), 'MashAgent' (SIGMETRICS'26), 'Complete Communication Graph' (HotNets'23), 'Role-based micro-segmentation' (NSDI'25), 'Non-IID data' (ICML'20), 'FedDrift' (AISTATS'23), 'Matchmaker' (MLSys'22), 'Ekya' (NSDI'22), and 'RECL' (NSDI'23).
Research Experience
  • Principal Researcher at Microsoft Research in Redmond, working on various projects such as secure east-west traffic with zero-trust networking principles, GNN-based anomaly detection, natural-language-based network management, and more.
Education
  • Received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.
Background
  • Research interests lie broadly in the intersection of artificial intelligence (AI) and systems/networking, particularly in network security and management, federated and decentralized learning, and mitigating data drifts in machine learning.