Sandia Energy > Programs > Electric Grid > Renewable Energy and Distributed Systems Integration > Key Personnel > Georgios Fragkos Georgios Fragkos, Ph.D. Postdoctoral Researcher, Renewable Energy and Distributed Systems Integration Contact Information Georgios Fragkos / 505-526-4988 Biography Dr. Georgios Fragkos is a Postdoctoral Researcher in the Renewable and Distributed Systems Integration program. He obtained his 5-year joint diploma degree in Computer Science from the National Technical University of Athens, Greece in 2018. He received his M.S. and Ph.D. with Distinction in the field of Computer Engineering at the University of New Mexico, NM, USA. His research focuses on Machine Learning, particularly Reinforcement Learning in stochastic environments, and Cybersecurity applied to networks and the Smart Grid. Dr. Georgios Fragkos was awarded the UNM Graduate Excellence Fellowship in 2019, the School of Engineering UNM Outstanding Graduate Award in 2020, and the IEEE Outstanding Graduate Engineering Student Award in 2020. Education Ph.D. in Computer Engineering from the University of New Mexico, 2022 M.S. in Computer Engineering from the University of New Mexico, 2020 Diploma (B.S. & Integrated M.S.) from the National Technical University of Athens, Greece, 2018 Google Scholar Georgios Fragkos Key Publications 2022 Fragkos, Georgios, Jay Johnson, and Eirini Eleni Tsiropoulou. “Dynamic Role-Based Access Control Policy for Smart Grid Applications: An Offline Deep Reinforcement Learning Approach.” IEEE Transactions on Human-Machine Systems 52.4 (2022): 761-773. Fragkos, Georgios, Jay Johnson, and Eirini Eleni Tsiropoulou. “Centralized and Decentralized Distributed Energy Resource Access Control Implementation Considerations.” Energies 15.17 (2022): 6375. Fragkos, Georgios, et al. “Enhancing privacy in PUF-cash through multiple trusted third parties and reinforcement learning.” ACM Journal on Emerging Technologies in Computing Systems (JETC) 18.1 (2021): 1-26. 2021 Apostolopoulos, Pavlos Athanasios, et al. “Data offloading in UAV-assisted multi-access edge computing systems under resource uncertainty.” IEEE Transactions on Mobile Computing 22.1 (2021): 175-190. Diamanti, Maria, et al. “Resource orchestration in interference-limited small cell networks: A contract-theoretic approach.” Network Games, Control and Optimization: 10th International Conference, NetGCooP 2020, France, September 22–24, 2021, Proceedings 10. Springer International Publishing, 2021. 2020 Fragkos, Georgios, et al. “Artificially intelligent electronic money.” IEEE Consumer Electronics Magazine 10.4 (2020): 81-89. Fragkos, Georgios, Sean Lebien, and Eirini Eleni Tsiropoulou. “Artificial intelligent multi-access edge computing servers management.” IEEE Access 8 (2020): 171292-171304.