People

Faculty Members

S.D. Fassois
Professor & Lab Director 

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
Tel: +30 2610 969495
fassois@upatras.gr 

Office Hours: 12:00-13:30 Monday and Wednesday (updated 2024-02-26)

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 (SMSA) Laboratory, having previously served on the faculty of the University of Michigan - Ann Arbor, USA (1986-1993). His teaching and research interests are on stochastic mechanical and aero signals and systems, mechatronics, data-based modeling, system diagnosis-prediction-control, Structural Health Monitoring (SHM), Machine Learning (ML), with applications on structures, vehicles, aircraft, energy, and other systems. He has also been lecturing on international Short Courses. His research has been supported by national and international entities, including the European Commission. 

He is the recipient of the `Evangelos Papanoutsos Excellence in Teaching Award’ (University of Patras, 2023), the `Excellence in Teaching Award’ (College of Engineering, University of Michigan – Ann Arbor, 1990), and several additional international awards and distinctions. He is Editor-in-Chief of the Journal of Mechanical Systems and Signal Processing (MSSP), Associate Editor / Editorial Board Member / Advisory Board Member for additional international journals, and member of the Scientific Committee for numerous international conferences. He has organized 4 Thematic Issues for international journals, has authored articles for international technical encyclopedias, and over 300 articles in technical books, journals, and international conference proceedings.

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J.S. Sakellariou
Associate Professor                                                                                                             

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
Tel: +30 2610 969 494 
sakj@mech.upatras.gr 

John S. Sakellariou received the Diploma in Mechanical Engineering in 1999 and the Ph.D. degree in Mechanical Engineering in 2005 from the University of Patras, Greece. He currently is a faculty member of the Mechanical and Aeronautical Engineering department at the University of Patras, Greece and a member of the Stochastic Mechanical Systems and Automation Laboratory. He is teaching courses on systems theory, stochastic systems, modern control, flight control, structural health monitoring, diagnostics and prognostics, electric circuits and control in robotics. He has also served on the faculty of the Department of Mechanical Engineering of the University of Thessaly, Thessaly, Greece (2007) and on the faculty of the Department of Financial and Management Engineering of the University of the Aegean, Chios, Greece (2006-2008). Dr. Sakellariou was a collaborator of the Industrial Systems Institute (I.S.I.) in Greece (2006-2008) and worked also as a Mechanical Engineer in the Research & Development department of N. Maniatopoulos S.A. (Ideal Bikes) bicycle manufacturing company (2008 – 2011) and earlier in Papastratos S.A. tobacco industry (affiliate of Philip Morris in Greece).

Dr. Sakellariou research areas cover estimation, dynamic identification, prediction, simulation, vibration control, diagnosis and Structural Health Monitoring of linear, nonlinear and multiple equilibria stochastic systems and structures operating under varying conditions with emphasis on mechanical and aeronautical applications. He has also strong interest and long experience in the design of laboratory experiments as well as in experimental procedures in field with various types of engineering systems and structures.

Dr. Sakellariou research has been published through various research articles in major international journals and conferences, chapters for international technical encyclopedias and technical reports. He is also a referee for many international journals and conferences such as the Mechanical Systems & Signal Processing, the International Journal of Control, the Journal of Sound and Vibration, the Journal of Structural Health Monitoring, the International Conference on Noise and Vibration Engineering (ISMA), the European Workshop on Structural Health Monitoring (EWSHM) and others. 

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Special Laboratory & Instructional Personnel

S. Katopodi
Special Laboratory and Instructional Personnel 

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
Tel: +30 2610 969492
Fax: +30 2610 969492
katopodi@mech.upatras.gr 

Mrs. Stamata Katopodi is a graduate of the Department of Business Administration of the Technological Educational Institute of Patras. She has worked as Technical Personnel in the Department of Mechanical Engineering and Aeronautics of the University of Patras, with responsibilities for instrumentation and the editing of technical books and teaching material. Since 2004 she is with the Laboratory of Stochastic Mechanical Systems and Automation (SMSA) as Special Laboratory & Instructional Personnel. She is responsible for the organization and instruction for laboratory exercises in various courses, as well as in aiding with laboratory set-ups used in undergraduate and graduate projects, as well as in Diploma Theses. Mrs. Katopodi enjoys writing poetry. 

Collaborating Faculty

D.G. Dimogiannopoulos
Associate Professor        

Department of Industrial Design and Production Engineering University of West Attica GR 12244 Athens, Greece

Tel: +30 210 5381183 Fax: 

dimogian@uniwa.gr

Dimitrios Dimogianopoulos holds a Diploma in Mechanical Engineering (University of Patras, Greece, 1995), a Diplôme d’Etudes Approfondies in Systems Control (Université de Technologie de Compiègne- U.T.C, France 1996) and a PhD degree in Adaptive Control of Linear Time-Varying Systems (U.T.C, 1999). He is an Associate Professor at the Department of Industrial Design and Production Engineering,  University of West Attica, Greece. He has served as a contractual researcher at the Centre National de la Recherche Scientifique, UMR 6599 HEYDIASYC (France, 2002-2003), as an adjunct Assistant Professor at the Department of Electrical Engineering, Technological Education Institute of Lamia (Greece, 2006-2010), and as a research associate at the Stochastic Mechanical Systems and Automation Laboratory (2003-today).

His research interests are in the area of identification, control and fault diagnosis of stochastic systems with emphasis in mechanical and aerospace applications. Furthermore, he has been actively involved in the development of contact-less magnetoelastic sensors which may be used, along with purposely tuned  algorithmic methodologies, for diagnosing internal damage in composite materials. He has also been collaborating with Dr. K. Grigorakis (from the Hellenic Centre for Marine Research) on the development of novel methodologies and devices for assessing key mechanical attributes (and, thus, quality) of flesh in fish products.   

Dr Dimogianopoulos has initiated joint research with institutes of higher education (Technological Education Institute of Larissa, Greece) or research (Hellenic Centre for Marine Research, Athens, Greece). He has, also, participated in several EU-funded research projects related to health/quality diagnosis in aerospace applications, composite materials and aquaculture products . Following this activity, he holds (with Dr. Grigorakis) a national patent on a non-destructive methodology for the direct computation- evaluation of key mechanical characteristics in fish flesh (filled with the Greek Industrial Property Organization, 2017), and has (co-)authored over 50 technical papers in international journals, conference proceedings and books. Finally, he is referee for international journals such as Automatica, IEEE Transactions on Aerospace and Electronic Systems /Automatic Control /Control Systems Technology, Proceedings of the Institution of Mechanical Engineers Parts C (Journal of Mechanical Engineering Science), G (Journal of Aerospace Engineering) and I (Journal of Systems and Control Engineering), and IFAC- or IEEE- sponsored conferences such as ECC, CDC, MED and so on. 

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Ph.D. Students

T-C.I. Aravanis
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
aravanis@mech.upatras.gr

Tryfonas Ι. Aravanis received the Diploma in Mechanical Engineering and Aeronautics from the University of Patras in 2015 and he is currently a Ph.D. candidate in the same department and a member of the Stochastic Mechanical Systems and Automation laboratory. His main scientificinterests and research area are in Structural Health Monitoring for mechanical structures that operate under varying environmental and operating conditions and uncertainties. 

K.J. Vamvoudakis-Stefanou
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
vamvoudakisk@upatras.gr

Mr. Vamvoudakis received the Mechanical Engineer diploma from the University of Patras in 2012 and he is a research associate at the SMSA laboratory since 2013. He has worked in 3 EU funded projects, collaborated with numerous institutes and companies from the EU, while his research work has been published in numerous international conferences and journals. His research is focused on vibration based Structural Health Monitoring for structures operating under environmental, operating or other uncertainty. His research interests additionally focus on machine learning methods and data science tools. 

I.A. Iliopoulos
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
ilias.iliopoulos@upnet.gr

Ilias Α. Iliopoulos received the Diploma in Mechanical Engineering and Aeronautics from the University of Patras in 2017 and he is currently undertaking a doctoral research in the same department as a member of the Stochastic Mechanical Systems and Automation laboratory. His main scientific interests and research areas are in the Dynamic Identification of traveling railway vehicles and On-board Track condition monitoring. 

G. Vlachospyros
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
vlachospyros.g@upnet.gr

George Vlachospyros received the Diploma Degree in Mechanical Engineering and Aeronautics from the University of Patras, Greece, in 2019. He currently is a PhD candidate in the Stochastic Mechanical Systems & Automation (SMSA) Laboratory of the same Department. His research interests are on innovative methods for Structural Health Monitoring (SHM) with emphasis on railway applications.

K. Kritikakos
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
mead6961@upnet.gr

Kiriakos P. Kritikakos received the Diploma Degree in Mechanical Engineering and Aeronautics from the University of Patras, Greece, in 2020. He currently is a PhD candidate in the Stochastic Mechanical Systems & Automation (SMSA) Laboratory of the same Department. His research areas cover Structural Health Monitoring, Data Analysis, Machine Learning, and automated Control with emphasis on railway applications.

I.E. Saramantas
Ph.D. Student

Stochastic Mechanical Systems & Automation Laboratory
Department of Mechanical Engineering & Aeronautics
University of Patras
GR 26504 Patras, Greece
jsar@upatras.gr 

Ioannis E. Saramantas received the Diploma Degree in Mechanical Engineering and Aeronautics from the University of Patras, Greece, in 2020. He currently is a PhD candidate in the Stochastic Mechanical Systems & Automation (SMSA) Laboratory of the same Department. His research areas cover Structural Health Monitoring, Data Analysis, and Machine Learning. He has also strong interest in the development, implementation and validation of methodologies for Machine Learning based Structural Health Monitoring for populations of composite aerostructures under uncertainty.