IEOR Lab

That's me 

Manjesh Kumar Hanawal
Assistant Professor
Industrial Engineering and Operations Research
IIT Bombay, Mumbai, India
Room No 323, ME Builiding
Phone: +91 (022) 2576-5420
Email: <mhanawal> at iitb dot ac dot in

About me

I am an Assistant Professor at the centre for Industrial Engineering and Operations Research (IEOR), Indian Institute Technology Bombay, Mumbai, India, since January 2016. Before joining IITB, I was a postdoctoral researcher at the Department of ECE, Boston University, USA for two years. I obtained a Ph.D. degree from University of Avignon, France (and INRIA, Sophia Antipolis, France) in 2013 and a M.Sc (Engg) degree from Indian Institute of Science, Bangalore, India, in 2009. My bachelor’s degree is from National Institute of Technology Bhopal (MANIT), India in 2004. Between 2004-2007, I worked as Scientist-B at Centre for Artificial Intelligence and Robotics, Bangalore.

My research interests are broadly in Machine learning and Communication networks. In machine learning, my interest is in development and analysis of online learning algorithms that efficiently exploit the problem structure and work with limited feedback. In communication networks, my interest is in resource allocation problems and study of various economics issues related to the ongoing net-neutrality debate.

Opening

I am looking for motivated and enthusiastic PhD students to work in the areas of Machine Learning and Network Economics. Students with BE/MTech/MSc degree in Electrical Engineering, Computer Science, or Mathematics are encouraged to apply. Interested students can email their CV with subject line 'Application for PhD Position'.

Updates

Updates

  • Received Early Career Research (ECR) award from SERB for research on `Machine Learning for Next-Generation Wireless Networks`- Duration- 3 years (2019-2022), Budget 17 lacs.
  • A paper titled `Online Learning algorithms for Unsupervised Sequential Sensor Selection' accepted at AISTATS 2019
  • A paper titled `Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks' accepted at INFOCOM 2019
  • A paper titled `Distributed Algorithms for Efficient Learning and Coordination in Ad Hoc Networks' accepted at WiOPT 2019
  • A paper titled `Distributed Learning and Stable Orthogonalization in Ad-Hoc Networks with Heterogeneous Channels' accepted in Journal of Selected Areas in Communications (JSAC) Arxiv version
  • A paper titled `Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback' accepted at NeurIPS 2019
  • A paper titled `Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach' accepted at INFOCOM 2020