Research Areas
- Applied Artificial Intelligence
- Smart Electric Power Systems and Smart Grids
- Machine Learning in National Security Applications
- Artificial Intelligence in Smart Cities
- Intelligent Control Methods in Power Systems
- Intelligent Systems for Signal Processing, and Detection Algorithms
- Machine Learning and Pattern Recognition
- Nuclear Security and Nonproliferation
- AI in Radiation Detection
- AI in Nuclear Power Applications
Funded Research Projects and Grants
“CONNECT 2: Consortium for Nuclear Security Technologies,” $5,000,000 // Co-PI: M. Alamaniotis // Dept. of Energy – National Nuclear Security Association (NNSA)
“Developing the technical basis and risk assessment tools for flexible plant operation,” $4,000,000 // Co-PI: M. Alamaniotis // Dept. of Energy – Nuclear Energy University Program
“Self-adaptive protection of inverter-based power systems using explainable artificial intelligence,” $400,000 // PI: M. Alamaniotis // CPS-Energy
“REU Site: Artificial Intelligence Powered Robotics in 5G,” $406,000 //Co-PI: M. Alamaniotis // National Science Foundation (NSF)
“UTSA Faculty Development in Cybersecurity of Digital I&C in Nuclear Power Plants Research and Education,” $450,000 // Recipient: M. Alamaniotis // Nuclear Regulatory Commission (NRC)
“Predicting Stroke Hemorrhagic Conversion with a Machine Learning Algorithm,” $132,000 // PI: M. Alamaniotis // San Antonio Medical Foundation
“Indoor Air Quality (IAQ) assessment of adhesive materials & airtightness performance of air-sealing materials using mock-up building structures,” $16,000 //Co- PI: M. Alamaniotis // KANEKA Inc.
“Development of Sensor Performance Model of Microwave Cavity In-Core Flow Sensing for Advanced Reactor High Temperature Fluid,” $1,000,000 // Co-PI: M. Alamaniotis // Dept. of Energy – Nuclear Energy University Program
“CONNECT: Consortium for Nuclear Security Technologies,” $3,000,000 // Co-PI: M. Alamaniotis // Dept. of Energy – National Nuclear Security Association (NNSA)
“UTSA Sustainable Energy-Positive Energy Design,” PI: A. Molina, Co-PI: M. Alamaniotis, N. Norouzi, UTSA Office of Sustainability
“Critical System Simulation Tool for Investigating the Resilience of a Cyberphysical Security Ecosystem” PI: L.H. Tsoukalas, Co-PI: M. Alamaniotis, Office of Naval Research, 2018-2020
“Collaborative Research: EAGER – DynamicData: Machine Intelligence for Dynamic Data-Driven Morphing of Nodal Demand in Smart Energy Systems,” PI: L.H. Tsoukalas, Co-PIs: M. Alamaniotis. N. Gatsis, National Science Foundation (NSF) , 2015-2017
“Fuzzy Logic Usability Evaluation Tool for Joint Human Machine Interfaces in Nuclear Power Plants,” PI: M. Alamaniotis, Purdue Research Foundation, 2015-2016.