Miltos Alamaniotis

Miltos Alamaniotis is an Associate Professor and GreenStar Endowed Fellow in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA). His research focuses on applied artificial intelligence in nuclear security, smart grids, and radiation detection systems, with a particular emphasis on maritime nuclear applications and nonproliferation.

• Academic Appointments: Associate Professor (2023–Present), UTSA
• Education: Ph.D. in Applied Intelligent Systems, Purdue University

Research interests include:

• Nuclear Security and Nonproliferation
• Smart Grids and Distributed Energy Systems
• Explainable AI for Radiation Detection
• Quantum Machine Learning Applications
• Intelligent Control of Nuclear Reactors
• Fuzzy Logic in Energy Management

Recent publications highlight trends in AI-driven nuclear security systems, matrix profile methods for radiation anomaly detection, and quantum neural networks for thermographic image analysis. His work bridges nuclear engineering, cybersecurity, and smart city technologies.

Scientific honors include:

• Top 0.5% ScholarGPS Ranking (2024)
• Best Paper Award at IEEE Texas Power and Energy Conference (2025)
• Luthcher Brown Fellowship (2023)
• GreenStar Endowment Fellowship (2023)
• NAE Frontiers of Engineering Symposium Selection (2023)
• UTSA President’s Distinguished Achievement Award (2022)

He has supervised PhD students like Thanos Arvanitidis and secured over $15M in grants from DOE, NSF, and NRC for projects including the $25M NNSA Consortium. His AI Lab at UTSA collaborates with Argonne, Idaho, and Los Alamos National Laboratories.