Academic position: Professor
Biographic Notes
Professor S.D. Fassois (Diploma 1982 NTUA, M.Sc. 1984 & Ph.D. 1986 University of Wisconsin-Madison USA) is the Director of the Stochastic Mechanical Systems & Automation Laboratory, having also served on the faculty of the University of Michigan – Ann Arbor, USA, 1986-1992. His research interests are on stochastic mechanical and aero systems, data based modeling, system diagnosis-prediction-control, Structural Health Monitoring (SHM), signal analysis, Machine Learning (ML), with applications on structures, vehicles, aircraft, and industrial systems. He has been honored by international awards and distinctions, has authored chapters in international technical encyclopedias, and organized/taught various Short Courses. He has published over 300 articles (several invited) in international technical journals, books, and Conference Proceedings. His research has been supported by national and international bodies, including the European Commission. He has been on the Editorial Board of prestigious technical journals, has organized 4 Special Thematic Issues, and participates in the Scientific Committee for various international conferences.
Google Scholar: https://scholar.google.gr
Scopus: https://www.scopus.com
Contact Hours:
Monday 12:00 – 13:30, Wednesday 13:00 – 14:30
Courses
Systems and Automatic Control I
COURSE CONTENT Introduction to dynamical systems and automatic control Mathematical representation, types and notions of dynamical systems State space representations of dynamical systems Modeling...
Stochastic Signals & Systems
COURSE CONTENT Introduction to stochastic signals and systems Fundamental notions of stochastic signals in the time domain Non-parametric estimation of stochastic signals in the...
Mechatronic Systems
COURSE CONTENT Introduction to mechatronic systems Mathematical representation and response calculation for basic mechatronic systems Basic notions of the Laplace and Fourier transforms Mechatronic...
Dynamic Identification & Structural Health Monitoring
COURSE CONTENT Introduction to the Dynamic Identification and Structural Healthy Monitoring based on measurements of vibration signals. General principles & specifications of Dynamic Identification...