PI
Education:
Ph.D. in Electrical Engineering, University of South Florida (USF), August 2023. Supervisor: Dr. Mia Naeini. Dissertation Title: Enhancing Smart Grid Security and Reliability Through Graph Signal Processing and Energy Data Analytics.
M. Sc. in Electrical Engineering, University of South Florida (USF), December 2020. Specialization: Data Analytics, Systems and Security.
B. Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), July 2014.
Md Abul Hasnat
Md Abul Hasnat is an Assistant Professor in the Electrical Engineering and Computer Science department at the University of Wyoming. He previously served as a Postdoctoral Research Associate at the University of Virginia. He received his Ph.D. and M.Sc. in Electrical Engineering from the University of South Florida and a B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology. His research focuses on developing signal processing techniques to enhance the security, reliability, and resilience of energy systems and other critical infrastructures. He works on smart grids with modern sensing technologies, addressing challenges such as situational awareness under uncertainty, risk-aware decision-making, and multi-resolution sensor data analytics. He also explores heterogeneous data analysis across smart city components and power system cybersecurity.
Work Experience:
Assistant Professor of Electrical Engineering, EECS Department, University of Wyoming (UW), August 2025 - Present.
Post-Doctoral Research Associate, University of Virginia (UVA),
Supervisor: Dr. Negin Alemazkoor.
August 2024-July 2025: Department of Civil and Environmental Engineering.
August 2023-August 2024: Department of Systems and Information Engineering.
Graduate Research Assistant, Electrical Engineering Department, University of South Florida (USF). August 2018-August 2023. Supervisor: Dr. Mia Naeini.
Graduate Teaching Assistant, Electrical Engineering Department, University of South Florida (USF), August 2019-December 2022.
Lecturer, Electrical and Electronic Engineering, Bangladesh University of Business & Technology (BUBT), October 2014-July 2018.
Graduate Students
Sayeb Mohammad Tadvin
Sayeb Mohammad Tadvin is a Ph.D. Student in Electrical Engineering at the University of Wyoming. He received his M.S. in Electrical Engineering from the University of Rhode Island and his B.Sc. from Chittagong University of Engineering & Technology. He has professional experience at Renata Limited in Bangladesh. His research interests include data-driven control and signal processing in smart grids.
Satish Adhikari
Satish Adhikari received his B.Sc. in Electrical and Electronics Engineering from Kathmandu University, Dhulikhel, Nepal. He has professional experience of working at NEA Engineering Company Limited in Nepal. His research interests focus on power system reliability, resiliency, and data analytics applications in energy systems.
Md Ashikujjaman
Md Ashikujjaman received his B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. He has professional experience at the Bangladesh Power Development Board and the Center for Environmental and Geographic Information Services (CEGIS). His research interests include frequency response analysis in power systems, oscillations in power grids, and the integration of renewable energy in large-scale grids.
One fully funded graduate student will be recruited for the Spring 2026 Semester in the EECS department at the University of Wyoming (UW). Ideal candidate should have:
B.S./M.S. degrees in Electrical Engineering or a closely related field,
A strong foundation in Signal Processing, Mathematics, and Statistics with fundamental knowledge of Power Systems,
Good programming skills (MATLAB and/or Python).
The student is expected to participate in research on statistical signal processing and machine learning techniques for the security, reliability, and resilience of power systems and other critical infrastructures. Research topics would include but not be limited to smart grid situational awareness under uncertainty, risk-aware decision-making in power systems during extreme events, multi-fidelity and multi-resolution sensor data analytics in smart grids, cybersecurity in energy systems, and heterogeneous data analyses from various components of smart cities. Details of the research plans and projects will be found here.
Interested candidates are requested to email mhasnat@uwyo.edu to express their interest in the position attaching their CVs, transcripts, and publications (if any)/writing samples.
For more information about graduate admission in UW-EECS: Graduate Admissions Information
The University of Wyoming is a public land-grant research university in Laramie, WY, classified as “Research 1: Very High Research Spending and Doctorate Production” by the Carnegie Foundation. Laramie is a beautiful city on a high plain between the Snowy Mountain Range and the Laramie Range. It is about 50 miles west of Cheyenne (WY Capital), and 130 miles north of Denver, CO. See more About Laramie, Wyoming | University of Wyoming