Welcome to Machine Learning in Operations, Networks and Security (MLiONS) group

MLiONS group conducts research in Data Analytics, Machine Learning, Artificial Intelligence and applies it to various fields of Operations Research, Networks and cybersecurity. In operations research, our focus is on data analytics techniques to improve the efficiency of , supply chain logistics and Industry 4.0. In Networks, our focus is on learning algorithms for distributed decision making in the next generation wireless networks. Our group is also involved in study of implication of net-neutrality regulations and developing tools to detect deliberate traffic discrimination in the Internet. In cybersecurity, we focus on automation threat detection in end points using machine learning and artificial techniques.


Recent Activites

  • Gave a tutorial `Distributed Learning Algorithms' at COMSENTS 2021. Link here
  • Paper titled 'Online Algorithm for Unsupervised Sequential Selection with Contextual Information' accepted at Neural Information Processing Systems (NeurIPS 2020)
  • Paper title `Revenue sharing on the Internet: A Case for Going Soft on Neutrality Regulations'' accepted at Intl. Symposium on Computer Performance, Modeling, Measurements and Evaluation (PERFORMANCE 2020)
  • Paper titled 'Thompson Sampling for Unsupervised Sequential Selection' accepted at Asian Machine Learning Conference (ACML 2020)
  • My new article on Aarogya Setu app in Firspost Link here
  • Paper titled 'Stochastic Network Utility Maximization with Unknown Utilities: A Multi-Armed Bandits Approach' accepted at International Conference on Computer Communication (INFOCOM 2020)
  • 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 `Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback' accepted at NeurIPS 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

Following are the glimpse of the work carried out in our research group.