Militiadis “Miltos” Alamaniotis, Ph.D.

Greenstar Endowed Fellowship in Energy

Associate Professor, Electrical and Computer Engineering

Miltos Alamaniotis is one of the nation’s emerging leaders in engineering whose high-impact interdisciplinary research focuses on the development of artificial intelligence and machine learning methods applied to intelligent energy systems, electric power grids, nuclear power systems and data analytics for nuclear nonproliferation.

In addition to serving on the faculty of the UTSA Department of Electrical and Computer Engineering, he is also an affiliate faculty member with the UTSA Cyber Center for Security and Analytics, the UTSA Texas Sustainability Energy Research Institute, and the Center for Connected and Automated Transportation at Purdue University. He also directs the Applied Artificial Intelligence Laboratory at UTSA.

He is a member of the interdisciplinary UTSA-led Consortium on Nuclear Security Technologies (CONNECT), in which he leads a team that is advancing nuclear security by developing the next generation of radiation detection systems. His team is training a cohort of engineers with a unique expertise in artificial intelligence, radiation engineering and nuclear security.

His research has been supported by organizations like the National Nuclear Security Association (NNSA), the National Science Foundation (NSF) and the Nuclear Regulatory Commission.

His research has been published in academic journals such as Scientific Reports, the International Journal on Artificial Intelligence Tools and the Applied Soft Computing Journal. Alamaniotis has a record of over 250 publications at this early stage of his career and an h-index of 20 with close to 1,600 citations to date.

He has been recognized for his research and leadership with the UTSA President’s Distinguished Achievement Award for Research, his department’s Undergraduate Mentoring Award, the President’s Translational and Entrepreneurial Research Fund Award from UT Health San Antonio, an Outstanding Leadership Award for his work on the Institute of Electrical and Electronics Engineers (IEEE) 2018 Conference Steering Committee, and a National Science Foundation (NSF) Travel Award, to name a few. He has also earned the Best Paper Award from IEEE in 2019 and from the American Nuclear Society in 2022.

He was one of 80 engineers in the U.S. to be invited by the National Academy of Engineering to the Grainger Foundation Frontiers of Engineering 2023 Symposium, where he will join the nation’s top early career engineers in tackling today’s greatest engineering challenges, sparking innovation and fostering a collaborative spirit.

Alamaniotis is a member of the American Nuclear Society, IEEE, the European Association for Signal Processing, and the Prognostics and Health Management Society.

He joined UTSA in 2018 after earning his Ph.D. in nuclear engineering from Purdue University.