Shashikant Ilager

Assistant Professor, University of Amsterdam (UvA)

prof_pic_2024.JPG

Room L5.21

Lab 42, Science Park 900

1098XH Amsterdam, the Netherlands

Hello World!

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

Before joining UvA, I was a postdoctoral researcher with the High Performance Computing (HPC) group at the Vienna University of Technology (TU Wien), Austria. I completed my PhD in Computer Science and Engineering from the CLOUDS Lab, University of Melbourne, Australia.

news

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
May 15, 2023 I visited CLOUDS lab @UniMelb and DisNet lab @Monash Univeristy, Australia and presented our recent work on edge monitoring and symbolic representation of data.
Dec 08, 2022 I presented our work on “Decentralized Edge Monitroing” at UCC conference, Vancouver, Washington, USA. Please check out the paper here.
Sep 26, 2022 I attended IC2E 2022 conference, Pacific Grove, California, USA.
Oct 20, 2021 My PhD thesis awarded Outstanding PhD Thesis Award by IEEE Technical Committee on Cloud Computing (IEEE TCCLD). Citation reads as “For outstanding research on machine learning-based energy and thermal efficient management of Cloud Data Centres”. For more details, please browse here.
May 20, 2020 Our paper on data-driven GPU frequency scaling has recieved Best paper award @ ACM/IEEE CCGRID 20.