Stamatis Tsianikas holds a BSc & MEng in Electrical & Computer Engineering from National Technical University of Athens
and a MSc in Industrial & Systems Engineering from Rutgers University, where he is currently working towards his PhD.
His research interests include but are not limited to energy systems, machine learning and power grid expansion planning.
His ongoing project in battery capacity optimization by means of reinforcement learning and simulation-based techniques has already led to 5 journal and conference publications.
Mr. Tsianikas has also served successfully as a TA at Rutgers University for three consecutive years. More specifically, he lectured and handled lab recitation for the course "Introduction to Computer Engineering - MATLAB". He also has industry exposure, as he recently completed his internship at American Express Company as a Data Scientist. In this one, he had to dig deeper in the areas of machine learning and especially in semi-supervised Generative Adversarial Networks. His current task at IfM is closely related to the "Infrastructure Digital Twins" project.