معرفی
Anurag Khandelwal is an Assistant Professor in the Department of Computer Science at Yale University. His research focuses on systems, networking, and secure cloud systems, with a particular emphasis on distributed architectures, serverless computing, and resource management. He has received awards including the NSF CAREER Award and NetApp Faculty Fellowship.
His research group explores topics such as disaggregated memory systems (e.g., CORD, PULSE), secure oblivious analytics (Weave), and brain-computer interfacing (TRINITY). Notable contributions include the Best Paper Award at ISCA'23 for SCALO and the Best Student Paper at EuroSys'24 for TRINITY.
Teaching responsibilities include Operating Systems (CPSC 422/522), Computer Networks (CPSC 433/533), and Big Data Systems (CPSC 438/538). He actively serves on program committees for major conferences like OSDI, SOSP, and EuroSys.
- Awards: NSF CAREER Award, NetApp Faculty Fellowship, Roberts Innovation Fund Award
- Grants: NSF AI Institute for Edge Computing, NSF-funded work on resource disaggregation
- Students: Advises current PhD students Yanpeng Yu, Grace Jia, Mahdi Soleimani, and Yash Lala, with past advisees like Yupeng Tang (Meta Research) and Ziming Mao (UC Berkeley PhD).
His research lab integrates interdisciplinary approaches, combining principles from neuroscience (e.g., hippocampal-neocortical interaction for prefetching) with distributed systems design.
