EPSi is determined to break new ground in research, education, and power-system innovation by bringing a wide-ranging approach to the way energy is produced, secured, managed, and delivered. The EPSi lab advances clean, efficient, reliable, resilient, sustainable, and safe energy solutions for utilities, industry, government, and communities.
EPSi is preparing critical energy infrastructure for the quantum era through quantum computing in energy systems, quantum cryptography, post-quantum cybersecurity, and quantum federated learning for Edge AI and integrated IT/OT environments.
Multiple efforts in the area of smart grid implementations are ongoing and their benefits are measured by making the system more reliable, secure and sustainable. The benefits from smart grid implementation have often been linked with smart meters. However, smart grid is much more than applications that derive from advanced metering infrastructure. To attain higher levels of reliability, security and sustainability, additional research is required. Current EPSi research examines high-penetration renewable integration, optimal placement and control of distributed energy resources, grid-equipment resilience under extreme events, vehicle-to-grid systems, microgrids and distributed generation, high-penetration photovoltaic integration, energy storage, digital twins, wireless power transfer, data-center reliability, federated learning, agentic AI, and secure IT/OT convergence. The group is also advancing quantum-hardened grid cybersecurity and quantum-enabled intelligence for next-generation critical infrastructure. For detailed information, please click on ‘Projects’. Various initiatives are being researched, demonstrated and implemented at EPSi.
Mission Statement of EPSi
“Bring together an interdisciplinary team of researchers, industry partners and community stakeholders to address challenges in energy, power, environment and policy making; design and develop inventive solutions; train the next generation of professionals through industry and state collaboration in education and research; and advance resilient, cybersecure, quantum-ready energy and critical-infrastructure systems.”
Prospective Ph.D. Candidates
The Energy, Power, Sustainability & Intelligence (EPSi) group is interested in hiring creative and innovative graduate students for current and upcoming admission cycles with a focus on conducting high-end research in one or more of the following areas:
- Renewable resource integration, intelligent microgrids, distributed energy resources, battery energy storage, and grid reliability and resilience.
- Data analytics, predictive modeling, artificial intelligence, machine learning, federated learning, agentic AI, digital twins, and large language models for power systems.
- Power-system cybersecurity, secure IT/OT integration, zero-trust operational technology, and cyber-physical critical-infrastructure protection.
- Quantum computing in energy systems, quantum cryptography, post-quantum secure smart grids, and quantum federated learning.
- Wireless power transfer, electric-vehicle charging, power electronics, advanced control, and intelligent visualization using modern programming and simulation tools.
Applicants must have a strong background in computer programming and analytical reasoning, and grit toward pursuing cutting-edge research culminating in effective engineering solutions and solid technical publications. Experience in power and energy systems, cybersecurity, artificial intelligence or machine learning, data engineering, real-time simulation, hardware-in-the-loop testing, or related areas is strongly encouraged. Prospective candidates should send their CV to the Director, Dr. Arif Sarwat, at asarwat@fiu.edu, including their key research interests and academic credentials. Please check the Department of ECE’s admission requirements and list Dr. Sarwat as the potential advisor in the application.
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For Further Information, Please Contact
ARIF SARWAT
Email: asarwat@fiu.edu
Distinguished University Professor and Chair, Department of Electrical and Computer Engineering
Director, FPL-FIU Solar Research Facility and Energy, Power, Sustainability & Intelligence (EPSi)