Anshul Gandhi

  


      
Anshul Gandhi

Associate Professor
Department of Computer Science
Department of Applied Mathematics & Statistics (affiliate appointment)
Stony Brook University

Office: 347, Computer Science.  Phone: (631) 632-8475.
Email: anshul (at) cs (dot) stonybrook (dot) edu
Lab: 336, Computer Science.  PACE Lab.
Twitter: @PACELab_SBU.

CV: [pdf] (updated: April 2025)

[News]   [Background]   [Research Interests]   [Awards]   [Publications]   [Funding]   [Patents]   [Teaching]   [Service]   [PACE Lab]   [Gallery]

I am an Associate Professor in the Department of Computer Science at Stony Brook University, where I lead the PACE Lab.
I am broadly interested in systems and performance modeling. My research aims to improve system performance via analytical tools.
My recent projects include interference-aware performance modeling and management and dynamic provisioning of cloud-deployed applications.
Please see my research interests and publications below for more information.
Feel free to email me if you want to learn more about my research and are interested in joining my group.

[Brief (third-person) bio]

News:

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March 2025: Anurag's work on GNN-based incident detection for microservices is accepted to ICDCS 2025 (industry track). Congrats, Anurag!
January 2025: Received a Millionaires Club Award from the SBU College of Engineering and Applied Sciences!
January 2025: Received a TREES award (Teachers Rated Excellent Educators by their Students) from the SBU College of Engineering and Applied Sciences!
December 2024: Awarded the Department of Computer Science Graduate Education Award!
October 2024: On the Program Committee for the industry track of IC2E 2025.
October 2024: Rebecca's work on using BBR for WebRTC is accepted to COMSNETS 2025. Congratulations, Rebecca!
September 2024: Bing's work on interference-aware GPU colocation is accepted to SOCC 2024. Congratulations, Bing!
September 2024: Pramodh's work on sustainable DNN inference on edge is accepted to SEC 2024. Congrats, Pramodh!
September 2024: Our collaborative work on distributed edge resource management is accepted to SEC 2024. Congrats, Manav and Pramodh!
September 2024: Received a conference funding seed grant from OVPR. Thanks, SBU!
July 2024: Our proposed work on sustainable LLM deployments received an OVPR Seed Grant Award. Thanks, SBU!
June 2024: Serving as General Co-Chair for ACM Sigmetrics 2025, to be held at Stony Brook University!
May 2024: Our collaborative work with the Business School on sustainable data centers was awarded an IBM Center for The Business of Government research grant.
March 2024: Deb's work on evaluating ML models for per-job power prediction is accepted at the HotCloudPerf 2024 workshop. Congratulations, Deb!
March 2024: Our collaborative work with FSL on accelerating storage system simulations is accepted to appear in the Performance Evaluation journal.
March 2024: Our work on detecting multiple bottlenecks in microservices applications is accepted (oral presentation) to WWW 2024. Congratulations to Gagan and Anurag!
January 2024: Our proposed work on reducing the energy consumption of DNNs received an OVPR Seed Grant Award. Thanks, SBU!
February 2024: Our collaborative work on verifiable sustainability in data centers will appear in the IEEE Security & Privacy Magazine.
January 2024: Serving on the TPC for USENIX ATC 2024.
January 2024: Serving on the TPC for MASCOTS 2024.
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Background:

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I was a Post Doctoral Researcher in the Cloud Optimization and Analytics group at the IBM T. J. Watson Research Center from 2013 to 2014.
I completed my Ph.D. in 2013 from the Computer Science Department at Carnegie Mellon University where I was advised by Prof. Mor Harchol-Balter.
My Ph.D. thesis, Dynamic Server Provisioning for Data Center Power Management, was awarded the 2013 SPEC Distinguished Dissertation Award.
I completed my undergraduate studies in 2007 from the Department of Computer Science and Engineering at Indian Institute of Technology, Kanpur.

Research Interests:

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I am interested in applying theory to systems. In particular, my research aims to leverage mathematical tools such as {Performance Modeling, Queueing Theory, Machine Learning, Control Theory} to analyze the behavior of systems such as {Distributed Systems, Cloud, Data Centers, ML Systems} and to optimize metrics of interest such as {Performance, Energy}.

Some of my current projects include:

Selected Awards and Honors:

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Publications:      [Google Scholar]  [DBLP]  [ResearchGate]

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Funding:

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Patents:

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Teaching:

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Service:

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