Izzy Grosof

Izzy Grosof is an Assistant Professor in the Industrial Engineering and Management Sciences Department at Northwestern University, holding a courtesy appointment in the Computer Science Department. Their research focuses on stochastic queueing theory, with particular emphasis on scheduling, resource allocation, and optimal multiserver policies in computing systems.

Education:

• PhD in Computer Science, Carnegie Mellon University
• B.S. and M.Eng. in Computer Science, Massachusetts Institute of Technology

Research Interests:

Dr. Grosof's work centers on optimization and performance analysis of stochastic queueing models for modern computing systems. Key areas include scheduling theory, multiserver systems, tail latency, and scheduling with predictions. Their research develops mathematical frameworks for resource allocation in complex queueing networks, with applications to cloud computing and data centers.

Scientific Awards:

• ACM SIGMETRICS 2023 Doctoral Dissertation Award
• INFORMS 2022 George Nicholson Award
• ACM SIGMETRICS 2021 Best Paper Award
• ACM SIGMETRICS 2019 Best Student Paper Award
• IFIP Performance 2018 Best Student Paper Award
• 2023 Tennenbaum Postdoctoral Fellow
• 2023 Siebel Scholar

Advising and Grants:

Dr. Grosof advises three PhD students (Ziyuan Wang, Cameron Curtis, and Heyuan Yao) and two undergraduate researchers (Jay Kowalik and Yanis Zain). Their research has been supported by prestigious fellowships including the Tennenbaum Postdoctoral Fellowship and Siebel Scholarship. Prior to their faculty position, they held postdoctoral appointments at Georgia Tech with Siva Theja Maguluri and at UIUC with R. Srikant, focusing on queueing theory applications in computing systems.