Shashikant Ilager

Assistant Professor, University of Amsterdam (UvA)

prof_pic_24.jpg

Room L5.21

Lab 42, Science Park 900

1098XH Amsterdam, the Netherlands

Hello World!

I am an Assistant Professor at the Informatics Institute (IvI) at the University of Amsterdam (UvA) and a member of the Multiscale Networked Systems (MNS) group. My research lies at the intersection of distributed systems, energy efficiency, and machine learning, where I focus on designing, optimizing, and developing large-scale computing platforms—such as cloud and edge infrastructures—to minimize their environmental and economic costs. Recently, I have been exploring the sustainability of data-intensive AI applications to enhance their performance and energy efficiency through data-driven, learning-centric approaches.

My research and teaching contributions have been recognized with several honors, including the IEEE TCCLD Outstanding PhD Thesis Award, the IEEE Outstanding Service Award, and Best Paper Awards at CCGRID 2020 and UCC 2023, and Excellence in Teaching Award (UniMelb 2019). My research has been published in leading venues including e-Energy, ASE, ICSOC, EuroPar, and CCGRID, as well as journals such as TPDS, TMC, TC, TSC, TAAS, and TNSM.

Before joining UvA, I held postdoctoral positions at the High Performance Computing (HPC) group at TU Wien, Austria. I completed my PhD in Computer Science and Engineering at the CLOUDS Lab, University of Melbourne, Australia. My international research experience includes serving as a visiting research scientist at IBM T.J. Watson Research Center, USA (Hybrid Cloud Infrastructure team) in Summer 2024 and at IMT Atlantique/INRIA, France, in Winter 2023.

news

Feb 10, 2026 Two papers accepted at CCGRID 2026. (1) Work on benchmarking and characterizing LLMs for energy-performance tradeoffs (pdf), and (2) Adaptive quantization for resource-efficient KV cache management (pdf). Congrats to Paul Malikael and Jianlong Lei 🎉
Feb 09, 2026 I’m pleased to share that two European Horizon Infra projects have been successfully funded. Congratulations to all consortium partners.
ENSUREENvironmentally SUstainable digital services and practices for REsearch infrastructures develops sustainable solutions for European RIs and data centers. (HORIZON-INFRA-2025-01-TECH-01) FUILD-AIFAIR Liquidity Unifying Interoperable Data and AI develops AI platforms and stacks for interoperable AI systems. (HORIZON-INFRA-2025-01-EOSC-03)
Jan 01, 2026 The second edition of GreenSys is moving to Edinburgh, Scotland, and will again be colocated with EuroSys 26. We invite you to submit your relevant work.
May 05, 2025 Our paper on Aging aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference is accepted at ACM e-Energy 2025. Arxiv link
May 02, 2025 Our paper on Decentralized and Self-Adaptive Monitoring of Edge Environments is accepted at ACM Transactions on Autonomous and Adaptive Systems (TAAS) journal, 2025. (to appear). Arxiv link
Feb 18, 2025 Our paper GREEN-CODE: Optimizing Energy Efficiency in Large Language Models (LLMs) for Code Generation is accepted at CCGRID 2025. Arxiv link
Jan 01, 2025 I am organising GreenSys workshop colocated with EuroSys in Rotterdam: Workshop on Systems and Methods for Sustainable Large-Scale AI, 2025
Dec 06, 2024 I have been invited to join the Technical Program Committee for HPDC 2025, taking place in Notre Dame, IN, USA. Please consider submitting your papers!
Oct 01, 2024 Statrted new position at University of Amsterdam (UvA) as an assistant professor!
Sep 25, 2024 Our paper ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge is accepted at ICSOC 24. Congrats to Meerzhan :tada:.
Jun 15, 2024 I will be working as a visiting research scientist (Jun 2024- Aug 2024) at IBM T.J. Watson Research Center, Hybrid Cloud Infrastructure team, York Town Heights, New York, USA.
Mar 01, 2024 Our paper FLIGAN: Enhancing Federated Learning with Incomplete Data Using GAN is accepted at EdgeSys 24, colocated with EuroSys 24. Congratulations to Paul :tada:. Arxiv link
Dec 07, 2023 Our paper A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature has recieved Best paper award @ ACM/IEEE UCC 23. :trophy:
Oct 15, 2023 I will be working as a visiting researcher (Oct 2023- Dec 2023) at INRIA, STACK team, hosted by Daniel Balouek @IMT Atlantique, Nantes, France.
Sep 26, 2023 Our paper on A Self-adaptive Energy-aware Appraoch for Edge-AI Application Management has been accepted @ASE 23. Please find the paper here