My research is designing robust algorithms for dynamical large scale systems penalized for changing decisions frequently. The motivation and application of my research is centered around:

  • Operational efficiency for data centers, power grids, EV charging systems
  • Design of adaptive bit rate controllers for livestreams
  • Competitive dynamic multi-product pricing

Related papers under submission and published:

  • Bhuyan, N., Mukherjee, D., & Wierman, A. (2024). Communication Efficient Decentralization for Smoothed Online Convex Optimization. arXiv preprint arXiv:2411.08355.
  • Bhuyan, N., Mukherjee, D. & Wierman, A.. (2024). Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization. Proceedings of the 41st International Conference on Machine Learning, in Proceedings of Machine Learning Research 235:3850-3888