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UID:36@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240215T143000
DTEND;TZID=Asia/Kolkata:20240215T154500
DTSTAMP:20240209T155828Z
URL:https://cds.iisc.ac.in/events/cds-seminar-systemsai-research-microsoft
 /
SUMMARY:[CDS Seminar] Systems+AI Research @ Microsoft
DESCRIPTION:Department of Computational and Data Sciences (CDS) Seminar\n\n
 \n\nTitle: Systems + AI Research @ Microsoft\n\nSpeakers: Saravan Rajmohan
 \, Chetan Bansal\, Anjaly Parayil and Mayukh Das\, Microsoft\n\nDate/Time:
  Thu Feb 15\, 230-345PM\n\nVenue: SERC Auditorium 4th Floor\n\n\n\nAbstrac
 t: At Microsoft\, we operate one of the largest productivity clouds and we
  need to keep pace with paradigm shifts such as the massive growth in AI w
 orkloads\, sustainability push\, the need for self-managing cloud environm
 ents and the complex challenges that arise out of its sheer scale. To solv
 e these challenges\, at M365 Research group in Microsoft\, we have built a
  cross-domain research team focusing on applied research on “ML for Syst
 ems” to bring a step function improvement in Cloud Efficiency and Reliab
 ility. The group comprises of 30+ PhD Researchers\, Research Fellows and I
 nterns in Bangalore (co-located with MSR India)\, Redmond and Beijing. We 
 aim to partner with top research institutions to drive innovation and leve
 rage the immense scientific knowledge and expertise to bring new ideas int
 o practice. Our goal is to explore all the dimensions from collaborative r
 esearch with faculty members\, to establishing knowledge sharing seminars 
 and building a long-term talent pipeline. You can read more about our rese
 arch group here:  https://aka.ms/systems-innovation.\n\nBios:\n\n 	Saravan
  Rajmohan is a Partner Director at Microsoft\, leading the M365 Research g
 roup focused on AI and Applied Research. He oversees diverse teams in the 
 US\, Latin America\, UK\, India\, and China\, conducting groundbreaking re
 search in Systems Innovation and Privacy Preserving Machine Learning. The 
 group develops advanced algorithms and hardware innovation to enhance M365
  infrastructure and services\, collaborating closely with Microsoft Resear
 ch labs. They drive AIOps Cloud Intelligence research\, improving efficien
 cy and reliability across M365 services. His Efficient AI team optimizes g
 enerative AI scenarios through cross-layer optimization and collaboration\
 , while privacy-preserving research ensures confidentiality in ML systems\
 , playing a pivotal role in AI privacy policies.\n 	Chetan Bansal is a Pri
 ncipal Research Manager at Microsoft leading the AIOps and Cloud Intellige
 nce research. His research is focused on improving Cloud Efficiency and Re
 liability through AI and data-driven methods. His research has had a signi
 ficant impact on Cloud Efficiency and Developer Productivity at Microsoft 
 with millions of dollars of savings. He has published 30+ papers in top in
 ternational conferences like ICSE\, FSE\, NSDI\, KDD and filed 15+ patents
 . His research has been recognized with best paper awards and nominations 
 in conferences such as SoCC\, FMCAD and ICSE. Prior to Microsoft\, his wor
 k on Formal verification of Web Protocols was recognized by awards from Fa
 cebook\, Mozilla and Google.\n 	Anjaly Parayil is a Senior Researcher at M
 365 Research leading applied research at the intersection of efficiency an
 d reliability of cloud services.  In particular\, she works on data drive
 n optimizations to ensure continuous availability of cloud services as wel
 l as workload aware techniques for improving the efficiency of Cloud infra
 structure. Before joining Microsoft\, Anjaly was a Post Doc with the Compu
 tational and Information Sciences Directorate at the US Army Research Labo
 ratory where she focused on Reinforcement Learning and Bayesian Inferencin
 g. Anjaly completed her graduate studies at the Department of Aerospace En
 gineering at IISc with her thesis focusing on uncertain systems and multi-
 agent control\, for which she received Prof. A. K. Rao Medal for the best 
 Ph.D. Thesis. Anjaly has authored 25+ publications in Artificial intellige
 nce\, control systems and optimization.\n 	Mayukh Das is a Senior Research
 er at Microsoft driving applied AI research for Cloud Efficiency.  In par
 ticular\, he works on varied decision-making problems for configuration tu
 ning for performance optimization of cloud services\, for capacity provisi
 oning\, for power and energy optimization\, and\, operational efficiency o
 f ML workloads. He completed his PhD from UT Dallas and his thesis work wa
 s focused on Guided Reinforcement Learning and Probabilistic Modeling in N
 oisy domains. Prior to Microsoft he was at Samsung Research solving Edge-A
 I problems. He serves on the program committee of various conferences incl
 uding AAAI\, ICML\, NeurIPS\, 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\n\n\n\nHost: Yogesh Simmhan\, CDS\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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