Welcome to the NEMO group at Arizona State University

My research lies 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. Our overarching goals are: (1) to design models and algorithms for automated control as well as optimal operation and planning of complex systems under uncertainty (aka mathematical modeling and optimization); and (2) to build intelligent, secure, fair, and efficient multi-agent platforms and marketplaces that engage multiple users with different objectives (aka market design, game theory, and mechanism design). To fulfill these goals, we employ an arsenal of computational tools from optimization, game theory, operations research, ML/AI, microeconomics, quantum computing, and secure computation. 

Our 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