Dr. Nick Eleftheroglou is an Assistant Professor in the Department of Aerospace Structures and Materials within the Faculty of Aerospace Engineering at Delft University of Technology. He is also the founder and head of the iSP Group, which he established in March 2022. He received his Diploma in Mechanical and Aeronautics Engineering cum laude from the University of Patras, Greece, in 2015, and earned his PhD cum laude from TU Delft in October 2020.

Thanos Kontogiannis is a PhD candidate at the Aerospace Engineering Faculty in the Department of Aerospace Structures and Materials and a member of the iSP group and PYTHIA team. He holds a mechanical engineering diploma with an integrated MSc in Applied Mechanics. His research and interests focus on bridging the gap between data science and artificial intelligence with engineering systems, monitoring and controlling them to manage their health and performance during deployment. He believes in preventative actions facilitated through prognostics rather than reactive ones to the already manifested issues. 

Hint: Don’t get him started talking about coffee or motorcycles; he won’t stop. 

Mariana Salinas-Camus is a PhD candidate in the Aerospace Engineering Faculty, within the Department of Aerospace Structures and Materials, and a member of the iSP group. She obtained her Bachelor's and Master of Science degrees in Electrical Engineering from the University of Chile in 2020 and 2023, respectively. Her research interests focus on developing prognostic models using stochastic and Bayesian methods for engineering systems, with applications in decision-making processes and predictive maintenance.

Benjamín Brito Schiele is a PhD candidate in the Aerospace Engineering Faculty, within the Department of Aerospace Structures and Materials, and a member of the iSP group. He received his Bachelor's and Master of Science degrees in Electrical Engineering from the University of Chile in 2023 and 2024, respectively. His research interests focus on creating reliable prognostic algorithms for engineering systems and structures, and using such algorithms to optimize operations and make decisions autonomously.

Malihe Goli is a PhD candidate, jointly supervised by the Resource Engineering section of the Faculty of Civil Engineering and Geosciences and the iSP group within the Faculty of Aerospace Engineering. She holds both MSc and BSc degrees in Electrical Engineering. Her research focuses on the development of prognostic models for heavy machinery and complex engineering systems, with applications in predictive maintenance and risk assessment.