Eminent Scholar Chaired Professor
EC 3913
Department of Electrical and Computer Engineering
Florida International University
Email: asarwat[at]fiu[dot]edu

Dr. Arif Sarwat is an Eminent Scholar Chaired Professor in the Department of Electrical and Computer Engineering and the Director of the FPL-FIU Solar Research Facility at the FIU. His research interests include smart grids, electric vehicles, high penetration renewable systems, storage and battery management systems, grid resiliency, large-scale data analysis, artificial intelligence, advanced metering infrastructure, smart city infrastructure and cybersecurity. He currently has six funded projects; three of which are funded by the National Science Foundation (NSF), one funded by the Department of Energy (DOE), and two from industries. This list includes the NSF CAREER Award. He is the co-lead on the Masters in Energy & Cybersecurity education program. He is an associate editor of the journal ACM Computing Surveys.

Dr. Sarwat has published more 100 articles. He was the author/co-author of a publication that won the best paper award at the Resilience Week in 2017 and a journal article that won both the best paper award in 2016 as well as the most cited paper award in 2018 from Springer’s Journal of Modern Power Systems and Clean Energy (MPCE). Dr. Sarwat received the Faculty Award for Excellence in Research & Creative Activities in 2016, College of Engineering & Computing Worlds Ahead Performance in 2016 and FIU TOP Scholar Award in 2015 and in 2019. He has worked in Siemens for more than nine years, winning three recognition awards. He has been the chair of the IEEE Miami Section VT and Communication since 2012. For further information, please visit:

Prospective PhD Candidates: The Energy, Power & Sustainability (EPS) group is interested in hiring creative and innovative graduate students for Fall 2020 with focus on conducting high-end research in one or more of the following areas: (1) Research in renewable resource integration into the smart grid; (2) Data mining and analysis involving predictive modeling, including but not limited to knowledge (at least preliminary) of languages and tools such as R, Hadoop, Weka; and (3) Intuitive visualization model development using Java, Python, PHP and/or C++ and .NET based programming (additional knowledge in web programming of and beyond HTML, JQuery, JSP, JavaScript and XML is an advantage). Applicants must have a strong background in computer programming and analytical reasoning, and grit towards pursuing cutting-edge research culminating in effective engineering solutions and solid technical publications. Prospective candidates should send their CV to the Director, Dr. Arif Sarwat, at asarwat[at]fiu[dot]edu, by including their key research interests and academic credentials. Please check the Department of ECE’s requirements and list Dr. Sarwat as the potential advisor in their admission application.

Contact Information

Office Number: EC3913
Lab Number: EC 3920
Phone (office): (305) 348-4941

Phone (Lab): 305 348 2935
Mail: Florida International University (FIU),10555 West Flagler St., EC3913
Miami, FL 33174