1. The paper 'Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes' has been selected as a Finalist for the Best Student Paper Award at ACC 2024 (a joint work with Prof. Angelia Nedich from ASU, Dr. Mattia Bianchi from ETH Zurich, and Prof. Florian Dörfler from ETH Zurich).
2. The paper 'CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing' has been selected as a Finalist for the Best Paper Award at WiOpt 2023.
Research Experience
Current research interests include: decentralized federated learning and optimization, edge computing & edge AI, decision-making under uncertainty, quantum machine learning and optimization, fair resource allocation, privacy-preserving distributed optimization and learning, dynamic pricing and market design, autonomous driving, EV charging network design and operations.
Background
Research interests lie at the intersection of AI, operations research, and engineering, focusing on developing mathematical models and techniques for decision-making and analyzing large-scale networked systems. These include cloud/edge computing, energy systems, autonomous driving, smart grids/cities/healthcare/transportation, crowdsourcing, and transportation electrification.