Boutalis Ioannis

RANK:	Professor
SECTOR:	Electronics and Information Technology Systems Sector
LABORATORY:	Automatic Control Systems and Robotics Laboratory
EXPERTISE:	Automatic Control Systems, Computational Intelligence

CONTACT DETAILS

ADDRESS:	University Campus Kimmeria, Building B, Office 1.04
E-MAIL:
TELEPHONE:	+30 25410 79504
PERSONAL WEBSITE:
CV:

SCIENTIFIC INTERESTS

Intelligent Systems. Development of Computational Intelligence techniques with applications in Control, Renewable Power Generation, Electric Machines, Robotics, Pattern Recognition, Signal and Image Processing Problems.
Digital Signal and Image Processing and Αnalysis. Robotic Control, Robotic Vision.
Artificial Neural Networks, Fuzzy and Neuro-Fuzzy Control. Nature Inspired Algorithms and Optimization.
Modeling and Control of Biological Systems.

UNDERGRADUATE COURSES

Computational Intelligence
Robotics

POSTGRADUATE COURSES

Neural Networks and Applications in Automatic Control Systems
Artificial Intelligence –in the M.Sc. Program in Applied Mathematics
Artificial Intelligence and Applications –in the International M.Sc. Program in Quantum Computing and Quantum Technologies
Quantum Machine Learning –in the International M.Sc. Program in Quantum Computing and Quantum Technologies
Modern Technologies in Computer Science –in the M.Sc. Program in Applied Bioinformatics and Data Analysis of the Department of Molecular Biology and Genetics of DUTH

SHORT CV

Dr. Yiannis S. Boutalis received the diploma of Electrical Engineer in 1983 from Democritus University of Thrace (DUTH), Greece and the PhD degree in Electrical and Computer Engineering in 1988 from the Computer Science Division of National Technical University of Athens, Greece.

Since 1996, he has been a faculty member at the Department of Electrical and Computer Engineering of DUTH, where, after serving at the ranks of Lecturer, Assistant and Associate Professor, he is now Professor, Director of the Laboratory of Automatic Control Systems and Robotics. He also served as the Chair of the Department from 2015-2020. In the past, he has worked as a contract Assistant Professor (PD 407) at the University of Thessaly, Greece and as a contract professor at the School of Aeronautical Engineering (SMA) of Hellenic Air Force Academy. He also worked as a researcher at the Institute of Language and Speech Processing (ILSP), Greece, and as CEO of Ideatech S.A., a company active in the development of pattern recognition and signal processing applications. Dr. Boutalis has so far developed collaborations with 6 universities and research institutes abroad and has been repeatedly, as a visiting scholar, at the Institute of Automation of the Technical University of Erlangen-Nuremberg in Germany.

His current research interests focus on the development of computational intelligence techniques with applications to problems of automatic control, renewable energy sources, electric machine control, robotics, pattern recognition and signal and image processing and analysis.

Dr. Boutalis teaches courses in Automatic Control Systems, Robotics and Computational Intelligence at both undergraduate and graduate levels. He has authored 3 books to support his teaching work and is a co-author of 2 books and 14 book chapters published by foreign publishing houses. In addition, he has published more than 200 papers in international scientific journals and proceedings of international conferences. Finally, Dr. Boutalis has supervised a number of doctoral and postgraduate theses that have been completed (25 by 2025 – 12 Phds, 13 Masters), while he is the supervisor of doctoral and postgraduate theses that are in progress.

RESEARCH PROJECTS

“Development and evaluation of algorithms for optimal decision making in teams of cooperating autonomous vehicles “, Scientific Coordinator, Funding from ESPA 2014‐2020 ‐ Ministry of Finance and Development ‐ Action: Support of new researchers, Budget 50.000€, Time Duration 15 months, Starting January 2020.
“Development of novel cognitive network structures with applications in system identification and control as well as in pattern recognition “, Supervisor – Scientific Coordinator. Grant scholarship for doctoral research in the framework of: “2nd ELIDEK Scholarship Announcement for PhD Candidates – Karatzinis Georgios – Application no: 706, (Time Duration: 16/10/2019 – 15/09/2022), Budget 31.500€.
“Development, implementation and evaluation of methods for the description and the retrieval of multimedia visual content using intelligent techniques “. Supervising Professor in the program of Doctoral research support HERAKLITOS II., Funded PhD candidate Chrisanthi Iakovidou. The project was funded by the E.U. (ESPA 2007-2013). Budget 45,000€. Time duration 10/5/2011 – 09/5/2013.
“NOPTILUS – Autonomous, Self-learning, Optimal and Complete Underwater Systems (www.noptilus-fp7.eu)”, (Time Duration 2011-2014), European Commission,FP7-ICT-2009.2.1: Cognitive Systems and Robotics, C. New ways of designing and implementing complete robotic systems, Researcher -Involvement in the development of methodologies for the autonomous navigation of underwater robots.
“AGILE – Rapidly-deployable, Self-tuning, Self-reconfigurable, Nearly-optimal Control Design for Large-Scale Nonlinear Systems (www.agile-fp7.eu)”, (Time Duration 2010-2012), European Commission FP7-ICT-5-3.5 – Engineering of Networked Monitoring and Control Systems, Researcher – Involvement in the development of large-scale systems control methods.

SELECTED PUBLICATIONS

Stefanopoulou, I. Michailidis, G. Karatzinis, G. Lepidas, Y. Boutalis and E. Kosmatopoulos, “Ensuring real-time data integrity in Smart Building Applications: A systematic end-to-end comprehensive pipeline evaluated in numerous real-life cases”, Energy and Buildings, vol. 336, pp. 115586, 2025
Karatzinis, Y. Boutalis, S. Van Vaerenbergh, “Aircraft engine remaining useful life prediction: A comparison study of Kernel Adaptive Filtering architectures”, Mechanical Systems and Signal Processing, vol. 218, pp. 111551, 2024.
Karatzinis, N. Apostolikas, Y. Boutalis and G. Papakostas, “Fuzzy cognitive networks in diverse applications using hybrid representative structures”, International Journal of Fuzzy Systems, vol. 25, no. 7, pp. 2534-2554, 2023
Gkelios, A. Kastellos, Y. Boutalis and S. Chatzichristofis, “Universal image embedding: retaining and expanding knowledge with multi-domain fine-tuning”, IEEE Access, vol. 11, pp. 38208-38217, 2023.
Plakias, and Y. Boutalis, “A novel information processing method based on an ensemble of auto-encoders for unsupervised fault detection”, Computers in Industry, vol. 142, pp. 103743, 2022.
Karatzinis, Y. Boutalis and Y. Karnavas, “An accurate multiple cognitive classifier system for incipient short-circuit fault detection in induction generators”, Electrical Engineering, vol. 104, pp. 1867-1882, 2022.
Karatzinis and Y. Boutalis, “Fuzzy cognitive networks with functional weights for time series and pattern recognition applications”, Applied Soft Computing, vol. 106 pp. 107415, 2021
Kapoutsis, I. Michailidis, Y. Boutalis and E. Kosmatopoulos, “Building synergetic consensus for dynamic gas-plume tracking applications using UAV platforms”, Computers & Electrical Engineering, vol. 91, no. 4, pp. 107029, 2021
Plakias and Y. Boutalis, “Fault detection and identification of rolling element bearings with Attentive Dense CNN” Neurocomputing, vol. 405, pp. 208-217, 2020.
Plakias, Y. Boutalis, “Lyapunov Theory-Based Fusion Neural Networks for the Identification of Dynamic Nonlinear Systems”, International journal of neural systems, Vol. 29 (09), Nov. 2019.
Plakias, Y. Boutalis, “Exploiting the generative adversarial framework for one-class multi-dimensional fault detection”, Neurocomputing, 332, pp. 396-405, July 2019.
Iakovidou, N. Anagnostopoulos, M. Lux, K. Christodoulou, Y. Boutalis, S. Chatzichristofis, “Composite Description Based on Salient Contours and Color Information for CBIR Tasks”, IEEE Transactions on Image Processing, Vol. 28 (6), pp. 3115-3129, Jan 2019.