Mayank Baranwal
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Senior Scientist Adjunct Assistant Professor Email(s): baranwal.mayank@tcs.com |
About me
I work as a senior scientist with the research division of Tata Consultancy Services in Mumbai (India). I also hold an Adjunct appointment with the Systems and Control group at the Indian Institute of Technology, Bombay, and a Guest appointment at the Indian Institute of Management, Mumbai. Prior to joining TCS, I was a postdoctoral scholar in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor in Prof. Alfred Hero's lab. I received my PhD in Mechanical Engineering at the University of Illinois at Urbana-Champaign, under the supervision of Prof. Srinivasa Salapaka. I develop techniques and technologies that help in comprehensive modeling, analysis and control of complex network systems.
I graduated with Masters in Mechanical Science and Engineering in Summer 2014 and Masters in Mathematics in Spring 2015, both from UIUC.
An ardent Cricket fan, I enjoy watching and playing Cricket a lot. I also have an inclination towards painting.
Research
My research interests are multi-disciplinary. I have primarily been interested in control theory and its overarching contributions to machine learning and optimization theory in particular. I have also enjoyed an occasional stint or two with implementation of robust control algorithms in power electronic devices and nanopositioning systems. Using my expertise in combinatorial and discrete optimization, mean field inference, robust and distributed control, distributed optimization and machine learning, I address a range of problems in network systems, including, but not limited to, power systems, large scale machine learning, medical sciences, and transportation networks. Here is an incomplete list of research areas that I find interesting:
Control Theory: Design of fast optimization algorithms, Distributed optimization and consensus, Variational inequality problems
Machine Learning Theory: Fundamental limits of GNNs, Reinforcement learning in delayed environments, Gradient flows and normalization, Determining number of clusters, Stabilizing training of GANs
Deep Learning Applications: Molecular property predictions, Intelligent inventory management, Tumor grading, Synthesis of microbial communities
Combinatorial Optimization: Mean-field annealing, Integer linear programs, Dynamic resource allocation, Traveling salesmen problems, Reduction of networks
Control Applications: Distributed control of microgrids, Communication-agnostic control, Robust control of AFMs
Background
Senior Scientist, TCS Research & Innovation — Jan'23 - Present
Scientist, TCS Research & Innovation — July'20 - Dec'22
Adjunct Asst. Professor, IIT Bombay — Jan'21 - Present
Guest Faculty, IIM Mumbai — June'22 - Present
Postdoctoral Scholar in EECS, University of Michigan, Ann Arbor — Aug'18 - June'20
PhD in MechSE, University of Illinois, Urbana-Champaign — May'15 - May'18
MS in Mathematics, University of Illinois, Urbana-Champaign — Aug'14 - May'15
MS in MechSE, University of Illinois, Urbana-Champaign — Aug'11 - Aug'14
BTech in ME, Indian Institute of Technology, Kanpur — Aug'07 - May'11