Parinaz Naghizadeh Awarded NSF CAREER Grant
ISE Assistant Professor Parinaz Naghizadeh has been awarded a prestigious Faculty Early Career Development (CAREER) from the National Science Foundation.
Networks are prevalent in all aspects of society. Moreover, many of the networks around us, including our critical infrastructures such as communication, power, and transportation networks, are highly interdependent on each other. This motivates the study of multilayer networks -- networks of networks that interact and co-evolve. Naghizadeh’s project, Decision Making, Learning, and Incentive Design in Multilayer Networks, will leverage tools from optimization, game theory, machine learning, and graph theory towards building an analytical framework for the study of distributed decision making and learning in multilayer networks. The proposed framework will account for the multi-modality of information and communication channels available to entities in multi-agent systems and identify the potential sources of inefficiency in decentralized decision making and learning in multilayer network environments. These findings will be used to show how the holistic study of multilayer networks, as opposed to focusing on each network individually, enhances our ability to design and evaluate economic and regulatory interventions, and prevent unwanted equilibria or learning outcomes.
The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.