Konstantinos Prantikos

Affiliation

Purdue University

Biography

Konstantinos Prantikos is a Ph.D. candidate in the School of Nuclear Engineering at Purdue University, focusing on AI-based diagnostic techniques for advanced nuclear reactors. With experience as a Visiting Scholar in the Nuclear Science and Engineering division at Argonne National Laboratory, he has contributed to projects in digital twin modeling, reactor core monitoring, and heat exchanger anomaly detection, receiving recognition from the American Nuclear Society, Purdue University, and Argonne National Laboratory. His research aims to enhance reactor safety and efficiency through advanced AI methods, supporting innovations in nuclear energy.