Journal Publications

  • K. Avrachenkov, V. Borkar, H. Dolhare and, K. Patil. Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme, Modern Trends in Controlled Stochastic Processes: Theory and Applications, Volume 41, Springer 2021.
  • N. Hemachandra, K. Patil and S. Tripathi. Equilibrium points and equilibrium sets of some GI/M/1 queues Queueing Systems 245–284 2020.
  • K. Patil , M. Jafri, D. Fiems and A. Marin. Stochastic Modeling of Depth Based Routing in Underwater Sensor Networks. Ad Hoc Networks 1570-8705 (19) : 132-141, 2019.
  • K. Patil , K. De Turck, and D. Fiems. Optimal data collection in wireless sensor networks with correlated energy harvesting. Annals of Telecommunication 1958-9395 : 1-12, 2018.
  • K. Patil , K. De Turck, Koen and D. Fiems. The value of information in energy harvesting sensor networks. Operations Research Letters 46 (3) : 361-366, 2018.
  • K. Patil , K. De Turck, Koen and D. Fiems. A two-queue model for optimising the value of information in energy-harvesting sensor networks. Performance Evaluation 0166-5316 (119) : 27-42, 2017.

Submitted Manuscripts

  • K. Patil, K. De Turck and D. Fiems. Optimal Control in Wireless sesor networks - A mean field approach. Performance Evaluation 2020.
  • K. Avrachenkov, K. Patil and G. Thoppe. Online algorithms for page change rates in web page crawling, Performance Evaluation 2020.

Manuscripts under preparation

  • K. Avrachenkov, V.S. Borkar and K. Patil. Deep reinforcement learning for web crawling, IEEE ICC 2020.
  • K. Avrachenkov, H. Dijazi and K. Patil . Deep reinforcement learning for influence maximisation in dynamic networks, 2020.

Proceedings and reports

  • K. Avrachenkov, K. Patil and G. Thoppe. Change Rate Estimation and Optimal Freshness in Web Page Crawling, In VALUETOOLS 2020 - 13th EAI International Conference on Performance Evaluation Methodologies and Tools. Springer International Publishing, Accepted.
  • K. Patil , K. De Turck, and D. Fiems. Optimal Data Collection in Hybrid Energy-harvesting Sensor Networks. In Analytical and Stochastic Modelling Techniques and Applications , ed. Sabine Wittevrongel and Tuan Phung-Duc, 9845:239–252. Springer International Publishing, 2016
  • N. Hemachandra, S. Tripathi, and K. Patil. Equilibrium sets of some GI/M/1 queues (with more examples), 2016

Conference Talks

  • K. Patil , K.De Turck, and D. Fiems. Optimal transmission poilicies in large-scale wireless sensor networks - limiting techniques. European conference on Queueing Theory (ECQT) Jerusalem, Israel, 2018.
  • K. Patil , M. Jafri, D. Fiems and A. Marin. Performance Evaluation of Depth Based Routing in Underwater Sensor Networks. Stochastic Modelling (StochMod) Lancaster, UK, 2018.
  • K. Patil , K. De Turck, and D. Fiems. Optimal Data Collection in Hybrid Energy-harvesting Sensor Networks Analytical and Stochastic Modelling Techniques and Applications (ASMTA) Cardiff, Wales, 2016.
  • K. Patil , K. De Turck, and D. Fiems. A Two queue model for energy harvesting wireless sensor networks European conference on Queueing Theory (ECQT) Toulouse, France, 2016.

Dissertation

  • K.Patil Stochastic Modelling of Wireless sensor Networks, PhD Dissertation 2019
    • Advisors: Prof. Dieter Fiems and Dr. Koen De Turck