معرفی
Dr. Masoud H. Nazari is an Assistant Professor in the Department of Electrical and Computer Engineering at Wayne State University's College of Engineering. His research focuses on resilience and optimization of modern power systems through applications of stochastic hybrid systems, machine learning, and control theory. He holds leadership positions including Chair of IEEE Smart Buildings, Loads, and Consumer Systems Architecture Subcommittee and serves on IEEE Technology Conferences editorial boards.
Education:
Ph.D. in Electrical & Computer Engineering/Engineering & Public Policy from Carnegie Mellon University (2012), with visiting research at Massachusetts Institute of Technology. M.S. in Engineering & Public Policy from Carnegie Mellon University (2010).
Research Focus:
Primary interests include modern power systems resilience, stochastic hybrid systems, large-scale grid optimization, AI-enabled community resilience assessment, cyber-physical systems, and IoT applications in energy management. His work bridges theoretical control systems with practical energy infrastructure challenges.
Publication Trends:
Recent articles demonstrate strong focus on distributed control systems, resilience engineering in power grids, AI/ML applications for anomaly detection and optimization, and microgrid management. Work frequently addresses communication failures, stochastic variations, and cyber-physical security challenges in energy systems.
Awards and Honors:
- WSU Excellence in Teaching Award (2024)
- Top 10 Team - ARPA-E Grid Optimization Challenge (2022-23)
- DTE E-Challenge Winner (2022)
- IEEE Senior Member (2019)
- Best Paper Award - North American Power Symposium (2017)
Research Leadership:
- Principal Investigator for NSF AMPS ($200K): Stochastic contingency detection in power systems
- Co-PI for DOE RACER ($1M): Energy-water nexus resilience planning
- PI for ARPA-E Grid Optimization Challenge ($400K)
- Led DTE E-Challenge project developing AI-controlled HVAC systems
Research Group:
Leads the Modern Power Systems research team with current PhD students Hamid Varmazyari and Antar Kumar Biswas. Former advisees include Dr. Siyu Xie (now Assistant Professor in China) and multiple graduate/undergraduate researchers. The group focuses on control algorithms, resilience analytics, and optimization frameworks for power infrastructure.
