Seminars
View all Seminars | Download ICal for this eventAbstractions for expressive, extensible, and scalable root cause analysis
Series: Department Seminar
Speaker: Dr. Vipul Harsh, Conviva
Date/Time: Jun 29 10:00:00
Location: Online Meeting: https://tinyurl.com/VipulHarshTalk
Abstract:
Modern Internet-scale services must identify and mitigate customer-impacting incidents quickly. Despite the development of many Root Cause Analysis (RCA) algorithms??including recent LLM-assisted solutions??existing approaches struggle with the
Speaker Bio:
Vipul Harsh is a postdoctoral researcher at Conviva with Vyas Sekar and a visiting researcher at Carnegie Mellon University (CMU). His research interests lie at the intersection of networked systems, AI, and theory. His current research focuses on developing new abstractions and frameworks for building reliable and verifiable systems — from networked infrastructure to AI agents. He has also worked on datacenter topology, distributed monitoring, and parallel algorithms. His research has been published in top-tier CS conferences (SIGCOMM, NSDI, SPAA, among others) and his work on Murphy was adopted into VMware’s network management suite. He completed his Ph.D. at UIUC, where he worked with Brighten Godfrey, and holds an undergraduate degree from IIT Bombay. His thesis was nominated by UIUC for the ACM SIGCOMM dissertation award.
Host Faculty: R Govindarajan