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Lakshmanan Kailasam

Associate Professor · Indian Institute of Technology BHU Varanasi

https://researchid.co/lkshmnan
@iitbhu.ac.in
23Scopus Publications
1042Google Scholar Citations
13Google Scholar h-index
15Google Scholar i10-index

Biography

I joined IIT (BHU) in 2017. Earlier I completed Ph.D from IISc., Bangalore and had post-doc experience from IIT Bombay, University of Leoben, Austria and National University of Singapore. My research interests are in machine learning where I work mostly in reinforcement learning and its applications. I'm also associated with the Coforge Data and AI Lab and the Indian Knowledge Systems Center of Excellence at IIT (BHU).

Education

PhD Computer Science and Automation, Indian Institute of Science, Bangalore - 2013

Recent Scopus Publications

  1. Influence maximization independent of seed set size
    Operations Research Letters, 2025
  2. A deep actor critic reinforcement learning framework for learning to rank
    Neurocomputing, 2023
  3. Proximal policy optimization based hybrid recommender systems for large scale recommendations
    Multimedia Tools and Applications, 2023
  4. Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks
    IEEE Communications Letters, 2022
  5. Resource Allocation in Edge Computing: A Game-Theoretic Perspective
    2022 IEEE Global Conference on Computing Power and Communication Technologies Globconpt 2022, 2022

Grants / Consultancy

PI, AI-assisted Vulnerability Detection, Coforge (Ongoing) PI, Algorithm with Provable Guarantees for Dynamic Social Networks, DST SERB MATRICS (Ongoing) Co-PI, Mathematics and...

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