Mr. Ioannis Tselios, University of Patras, Greece
Mr. Ioannis Tselios is a Ph.D. candidate in Mechanical Engineering at the University of Patras, focusing on Fault Identification in Rotating Systems through Digital Twin approaches. He holds a Diploma in Mechanical Engineering and Aeronautics from the same university. As a Research Engineer at the Machine Design Laboratory, he has contributed to fatigue analysis and design optimization of UAV crankshafts in collaboration with the Hellenic Air Force. His research expertise includes integrating Artificial Neural Networks with mechanical systems, and he has published work on unbalance estimation in rotating systems.
Professional Profile:
Suitability for the Best Researcher Award:
Mr. Ioannis Tselios has demonstrated a strong track record in both academic research and practical engineering applications. His work on fatigue analysis, fault identification, and machine learning in mechanical systems is highly innovative and aligns with current trends in industry 4.0 and predictive maintenance. Additionally, his collaboration with significant industry partners like the Hellenic Air Force and his contributions as a laboratory assistant further strengthen his profile as a researcher committed to advancing both knowledge and education in his field.
Educational Background:
Mr. Ioannis Tselios is currently pursuing a Ph.D. in Mechanical Engineering at the University of Patras (2022-present). His dissertation focuses on Fault Identification in Rotating Systems using Digital Twin approaches. He also holds a Diploma in Mechanical Engineering and Aeronautics from the same university (2016-2021).
Professional Experience:
As a Research Engineer at the Machine Design Laboratory (MDL) in collaboration with the Hellenic Air Force (2023-2024), Mr. Tselios contributed to fatigue analysis and design optimization of UAV crankshafts using Finite Element Methods (FEM). He also served as a Laboratory Assistant, helping undergraduate students in Vibration and Machine Design exercises.
Internship Experience:
In 2020, Mr. Tselios completed an internship as a Mechanical Engineer at Athenian Brewery in Patras.
Research Publications:
His work includes notable publications on Artificial Neural Networks for Unbalance Estimation in rotating systems, highlighting his expertise in integrating machine learning with mechanical design. 📚🤖
Publication Top Notes:
-
Title: Identification of Unbalance in a Rotating System Using Artificial Neural Networks
-
Title: Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach