Dr. Arif Sarwat is a Professor in the department of Electrical and Computer Engineering and also the Director of FIU-FPL Solar Research Center. Dr. Sarwat received his Master’s degree from University of Florida, Gainesville , his Ph.D from University of South Florida, Tampa and currently leads The Energy, Power and Sustainability Group at FIU. Dr. Sarwat’s research interests include smart grids, Plug-in Hybrid and Electric Vehicle (PHEV & EV Systems), high penetration renewable systems, grid resiliency, large-scale data analysis, advance metering infrastructure, smart city infrastructure and cybersecurity. His outstanding contribution led him to become the recipient of NSF Career Award in 2016 and multiple federal and industry research awards. He was the author/co-author of conference best paper awards at the resilience week in 2017 and a journal best paper award in 2016 from Modern Power Systems and Clean Energy journal. Dr. Sarwat worked at Siemens for more than nine years, winning three recognition awards. He is chair of IEEE Miami Section VT and Communication since 2012. For further information, please visit: http://www.eps.fiu.edu.


Noteworthy Awards

• 2019 - FIU TOP Scholar Award
• 2016 - NSF CAREER Award
• 2016 - Faculty Award for Excellence in Research & Creative Activities
• 2016 - College of Engineering & Computing Worlds Ahead Performance
• 2015 - FIU TOP Scholar Award

Ongoing Projects   

1. Hybrid Energy Storage Systems for Distributed Energy Resources
2. Cyber Physical Solution for High Penetration Renewables in Smart Grid
3. SISGSR Project: AI-Based FIU Renewable Smart Microgrid.
4. Simulated and Synthetic Data for Interdependent Communication and Energy Critical Infrastructures.
5. Critical Resilient Interdependent Infrastructure Systems and Processes and Processes.
6. Advanced research on Integrating Emerging and Existing Systems (ARIES).
7. CPS: Synergy: Collaborative Research: Towards SECURE Networked Cyber-Physical Systems: A Theoretic Framework with Bounded Rationality.
8. DOE SEEDS: Tri-Modular Framework for Intelligent Visualization of Smart Grid Cyber-Attacks.
9. Inductive Power Transfer Systems for Electric Vehicles.
10. Wireless Charging on the go: Dynamic Wireless EV Charging System while driving.
11. Electric Power Reliability and Analytics Center for High Penetration Distributed Renewable Resource Modern Grid System.
12. FEWS: Food Energy Water System.
13. Collaborative Research: RIPS Type 2: Vulnerability Assessment and Resilient Design of Interdependent Infrastructures

For further information on past and present research projects led by Professor Sarwat, please visit https://eps.fiu.edu/research-2/.

 

• Proactive Analytics and Data Oriented Research on Availability & Security (PANDORAS) Lab
  

The Center for Proactive ANalytics and Data-Oriented Research on Availability & Security (PANDORAS) is equipped with multicore central and general-purpose graphical processing units (GP-GPUs) integrated over a secure, isolated network. The lab is equipped with a large capacity data server, ten high powered workstations, a GPU server for accelerated machine learning, and a multi-panel wall screen for monitoring. These resources are applied in the development of the cyber security software, data synthesis, and grid edge analysis. The data collected by the center includes, but is not limited to, generation of photovoltaic (PV) production meters, PV inverter settings, frequency disturbance recorder readings, feeder relay settings, 10 years’ worth of historical values and hourly forecasts of weather and cloud coverage local to the PV systems, and grid reliability cube. Additionally, PANDORAS also runs in parallel to and replicates 20 GW of peak power generation with 5 million utility customers served by over 500 distribution substations that consist of feeders with different topologies (radial, mesh and loop). Furthermore, the lab is equipped with the actual capabilities of Advanced Distribution Management Systems (ADMS) as used by the utility. The center conducts processing at all levels- descriptive, diagnostic, predictive, prescriptive, and cognitive- to understand and offer actionable insights into different scenarios of the grid in near real-time. Such processing models will help the utilities with planning and decision-making at their command and control centers as well.

Recent Journal Publications

1. A. Sundararajan, AS. Hernandez, A. Sarwat “Adapting Big Data Standards, Maturity Models to Smart Grid Distributed Generation: Critical Review”,
2. A Sundararajan, TO Olowu, L Wei, S Rahman, AI Sarwat, “A Case Study on the Effects of Partial Solar Eclipse on Distributed Photovoltaic Systems and Management Areas,”  IET Smart Grid, Vol 2, Issue 3, p 477-490, September 2019, DOI: 10.1049/iet-stg.2019.0002
3. A Sundararajan, AI Sarwat, A Pons, “A Survey on Modality Characteristics, Performance Evaluation Metrics, and Security for Traditional and Wearable Biometric Systems“,ACM Computing Surveys, Vol 52, Issue 2, May 2019. DOI: 10.1145/3309550
4. Parvez, I. and Sarwat, A.I., “A spectrum sharing based metering infrastructure for smart grid utilizing LTE and WiFi.”, 2019.  Adv. Sci. Technol. Eng. Syst. J., 4(2), pp.70-77.
5. A. Sundararajan, A. Chavan, D. Saleem, A. Sarwat, “A Survey of Protocol-level Challenges and Solutions for Distributed Energy Resource Cyber-Physical Security” MDPI Energies, Vol. 11, No.9, 2018, DOI: 10.3390/en11092360
6. Y Mekonnen, H Aburbu, A Sarwat, “Life cycle prediction of Sealed Lead Acid batteries based on a Weibull model“,Journal of Energy Storage 18, 467-475, 2018. DOI: 10.1016/j.est.2018.06.005
7. “Future Challenges and Mitigation Methods for High Photovoltaic Penetration- A Survey“, T.O. Olowu, A. Sundararajan, M. Moghaddami, A.I. Sarwat, MDPI Energies, Vol. 11, No. 7, June 2018.  DOI: 10.3390/en11071782

 

Recent Conference Papers

1. I Parvez, A Sarwat, A Debnath, T Olowu, MG Dastgir, “Multi-layer Perceptron based Photovoltaic Forecasting for Rooftop PV Applications in Smart Grid“,. 2020
2. Jonathan Sarochar ; Ipsita Acharya ; Hugo Riggs ; Aditya Sundararajan ; Longfei Wei ; Temitayo Olowu ; Arif Sarwat. “Synthesizing Energy Consumption Data Using a Mixture Density Network Integrated with Long Short Term Memory.”   2019 IEEE Green Technologies Conference,
3. A Khalid, A Sundararajan, A Hernandez, A Sarwat, “FACTS Approach to Address Cybersecurity Issues in Electric Vehicle Battery Systems“,2019 IEEE Technology & Engineering Management Conference (TEMSCON)
4. A Khalid, A Sundararajan, A Sarwat, “A Multi-Step Predictive Model to Estimate Li-Ion State of Charge for Higher C-Rates“ 2019 IEEE Conference on Environment and Electrical Engineering and I&CPS
5. Y. Mekonnen, A.Sarwat, S. Bhansali, “Food, Energy and Water (FEW) Nexus Modeling Framework” Proceedings of the Future Technologies Conference, 346-364, 2019.