Vienna, Austria, 1040
I am a Postdoctoral Researcher at the High Performance Computing (HPC) Group, Vienna University of Technology (TU Wien), Austria. I work at the intersection of distributed systems, energy efficiency, and machine learning. In my research, I study how to design, optimize, and manage large-scale computing systems, such as cloud and edge platforms, that can support the growing demand for data-intensive and AI applications while minimizing environmental and economic costs. I ground my work in the characterization of distributed systems and optimization using learning-centric approaches. Recently, I have been exploring the energy efficiency of distributed AI applications to evaluate and improve their performance and sustainability.
Previously, I obtained my Ph.D. in Computer Science and Engineering at the CLOUDS Lab, University of Melbourne, Australia.
|Oct 15, 2023||I will be working as a visiting researcher (Oct 2023- Dec 2023) at INRIA, STACK team, hosted by Daniel Balouek @IMT Atalantique, 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 8, 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 |