Power grid engineering and power electronics faculty

Ayyanar’s research interests include power conversion and control for renewable energy interface, especially PV and wind, electric vehicles, motor drives, wide bandgap devices

Fu’s research focuses on third-generation wide/ultrawide bandgap semiconductor materials and devices for applications in electronics and photonics.

Hedman is a professor in the School of ECEE and is the director of PSERC. In 2017, Hedman received the Presidential Early Career Award for Scientists and Engineers (PECASE), awarded by President Barack H. Obama.

Khorsand’s research expertise includes power systems operations and planning, power systems restoration and cascading events, cybersecurity for electric power systems, renewable energy, and electric energy markets.

Yoon Hwa is an assistant professor in the School of Electrical, Computer and Energy Engineering (ECEE) at Arizona State University (ASU). He is also the graduate faculty in the materials science and engineering program and chemical engineering program within the School for Engineering of Matter, Transport and Energy (SEMTE) at ASU. Hwa’s research group aims to develop a new research paradigm for energy technologies, which seeks to identify the most effective solutions to overcome the current major challenges. Two focused research areas are: (1) developing new energy material synthesis methodologies, (2) micro- to nano-scale device architecture design and manufacturing.  

Kitchen’s research focuses on improvements in efficiency and power management for high-frequency circuits and systems.

Oliver Kosut is an associate professor in ECEE. His research focuses on information theory, particularly with applications to security, privacy, and machine learning, and smart grid cyber-security.

Kozicki develops new materials, processes, and devices in applications ranging from information storage to supply chain security.

Duong Nguyen is an Assistant Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He received his doctorate in electrical and computer engineering from the University of British Columbia in 2020, under the supervision of Professor Vijay Bhargava. His research lies at the intersection of operations research, artificial intelligence, economics, and engineering, with a focus on developing new mathematical models and techniques for decision-making and economic analysis of large-scale networked systems such as cloud/edge computing, smart grids, and crowdsourcing. His goals are (1) to design optimal operation and planning algorithms for complex systems under uncertainty,…

Anamitra Pal is an Associate Professor in the School of Electrical Computer and Energy Engineering, where he leads the Phasor Assisted Learning (PAL) Lab: https://faculty.engineering.asu.edu/pal/

Ramapuram Matavalam’s research addresses the challenges in achieving a 100% green power grid by leveraging machine learning and dynamical system theory.

Dr. Ranjram received the Ph.D. degree from the Massachusetts Institute of Technology, Cambridge, MA in 2021. In 2022, he joined the Ira A. Fulton Schools of Engineering at Arizona State University as an Assistant Professor in the School of Electrical, Computer, and Energy Engineering. His present research interests include system- and component-level techniques for miniaturizing power electronic converters, and the application of these techniques to enable the next generation of sustainable systems and devices. He has also previously worked on modular power electronic converters for high-voltage dc transmission and battery energy storage systems for dc microgrids. Dr. Ranjram is a recipient…

Dr. Lalitha Sankar is a Professor in the School of ECEE. Her research interests are at the intersection of information and data sciences with focus on fairness, privacy, and robustness.

Vittal is a Regents Professor and an ASU Foundation Professor in Electric Power Systems. His areas of expertise include electric power, power system dynamics and controls, and nonlinear systems.

Weng’s research interests include power systems, machine learning, demand response, data analytics, cyber-physical systems and convex optimization.

Advanced optimization, control, and machine learning for reliability and economically integrating large-scale distributed energy resources (DERs) into power system planning, operations, stability, and electricity markets.

Yu’s areas of expertise range from nanostructure and nano device fabrication and characterization, wide bandgap semiconductor electronic and optoelectronics to wearable electronics.