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UID:109@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20250228T140000
DTEND;TZID=Asia/Kolkata:20250228T150000
DTSTAMP:20250220T065137Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-february-28th-0200-syste
 ms-ai-research-at-microsoft/
SUMMARY:{Seminar} @ CDS: #102\, February 28th\, 02:00: "Systems + AI Resear
 ch at Microsoft"
DESCRIPTION:\n\nCDS Systems + ML Seminar Series\n\n\n\nSpeaker : Anjaly Par
 ayil\, Mayukh Das\, Ayush Choure\, Alind Khare\n\nAffiliation : Microsoft 
 M365 Research\n\nTitle : Systems + AI Research at Microsoft\n\nDate &amp\;
  Time : February 28\, 2025 (Friday)\, 02:00 - 03:00 PM\n\nVenue : #102\, C
 DS Seminar Hall\n\n\n\nABSTRACT\n\nAt Microsoft\, we operate one of the la
 rgest productivity clouds and we need to keep pace with paradigm shifts su
 ch as the massive growth in AI workloads\, sustainability push\, the need 
 for self-managing cloud environments and the complex challenges that arise
  out of its sheer scale. To solve these challenges\, at M365 Research grou
 p in Microsoft\, we have built a cross-domain research team focusing on ap
 plied research on “ML for Systems” to bring a step function improvemen
 t in Cloud Efficiency and Reliability. In this talk\, we will discuss our 
 collaboration with top research institutions to drive innovation and lever
 age the immense scientific knowledge and expertise to bring new ideas into
  practice. In this introductory session\, we'll briefly explore several ch
 allenges encountered in large-scale production environments\, for example\
 , scheduling and routing strategies for large language models (LLMs)\, int
 elligent monitoring to achieve near-perfect reliability\, and cloud capaci
 ty allocation issues\, etc.\n\n\n\nSPEAKER'S BIO\n\nAnjaly Parayil is a Se
 nior Researcher at M365 Research leading applied research at the intersect
 ion of efficiency and reliability of cloud services. In particular\, she w
 orks at the intersection of machine learning and systems to ensure continu
 ous availability of cloud services as well as for the efficiency of Cloud 
 infrastructure running various workloads\, including the newly emerged Lar
 ge Language Model workloads. Previously\, she served as a Postdoctoral Res
 earcher at the US Army Research Laboratory’s Computational and Informati
 on Sciences Directorate\, specializing in reinforcement learning and Bayes
 ian inferencing. Anjaly earned her doctorate from the Indian Institute of 
 Science’s Department of Aerospace Engineering\, with a thesis on uncerta
 in systems and multi-agent control that received the Prof. A. K. Rao Medal
  for Best Ph.D. Thesis. Her work has resulted in over 25 publications and 
 multiple patent filings.\n\nMayukh Das is a Senior Researcher at Microsoft
  driving applied AI research for Cloud Efficiency. In particular\, he work
 s on varied decision-making problems for configuration tuning for performa
 nce optimization of cloud services\, for capacity provisioning\, for power
  and energy optimization\, and\, operational efficiency of ML workloads. H
 e completed his PhD from UT Dallas and his thesis work was focused on Rein
 forcement Learning and Probabilistic Modeling in Noisy domains. Prior to M
 icrosoft he was at Samsung Research solving Edge-AI problems. He serves on
  the program committee of various conferences including AAAI\, ICML\, Neur
 IPS\, SDM etc. and has served as a track chair at CODS-COMAD ‘24. Mayukh
  has authored 25+ publications in AI/ML and holds 7+ patents.\n\nAyush Cho
 ure is a Principal Researcher at Microsoft\, working on reliability and ef
 ficiency problems at M365 Research. He has a PhD in Theoretical Computer S
 cience from IIT Bombay\, specializing in geometry and probability theory.\
 n\nAlind Khare is a Senior Researcher at Microsoft\, leading applied resea
 rch on building efficient serving infrastructure for large language models
  (LLMs) at production scale. His work focuses on optimizing the serving of
  multimodal and reasoning-based LLMs. He earned his PhD from Georgia Tech\
 , where he explored innovations across machine learning and systems (SysML
 )—developing hardware-aware neural architecture search techniques and bu
 ilding real-time ML serving systems with deadline guarantees. His research
  has been published in top conferences\, including NSDI\, ECCV\, NeurIPS\,
  ICLR\, KDD\, and MLSys.\n\n\n\nHost Faculty: Prof. Yogesh Simmhan\n\n\n\n
 ALL ARE WELCOME
CATEGORIES:Events,Talks
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