جست‌وجوی استاد و پژوهشگر

Stelios Tsafarakisمشاهده پروفایل

دانشیار

• Consumer buying behavior
• Product line design and optimization
• Discrete choice models
• +۶ مورد دیگر

Stelios Tsafarakis is an Associate Professor at the School of Production Engineering and Management of the Technical University of Crete . His academic journey includes a PhD in Scientific Marketing from the Technical University of Crete and Université Paris Dauphine (2010), a Postgraduate Diploma in Production Engineering and Management (2007), an MSc in Management Information Systems from the University of Southampton (2002), and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2000). PhD: Technical University of Crete & Université Paris Dauphine (2010) Postgraduate Diploma: School of Production Engineering and Management, TUC (2007) MSc: Management Information Systems, University of Southampton (2002) Diploma: Electrical & Computer Engineering, NTUA (2000) His research focuses on consumer buying behavior , product line design and optimization , discrete choice models , and the application of evolutionary algorithms to market structure analysis. His work bridges marketing theory with computational methods, emphasizing nature-inspired optimization techniques for practical business solutions. Recent publications highlight trends in digital platform analytics , ICT integration in education , and bio-inspired optimization algorithms . His studies explore gamification in tourism, automated learner grouping via particle swarm optimization, and fuzzy systems for product line design. Stelios contributes to the Organization & Administration Laboratory at TUC. His collaboration hours are available by arrangement , and he can be reached at office D5.009 (phone: +30 28210 37160).

• Microelectronics
• Nanoelectronics
• Quantum Computers
• +۲ مورد دیگر

Karafyllidis Ioannis is a Professor at the Department of Electrical and Computer Engineering, School of Engineering, Democritus University of Thrace. His work focuses on microelectronics, nanoelectronics, quantum computing, and bioelectronics. He has extensive academic experience, including collaborations with institutions like UC Berkeley, TiiMS, and the Institute of Nanotechnology. Researcher in 12 national/international programs Editor for 3 international journals 42+ reviewer roles in scientific journals 95+ publications with 2,100+ citations Research Trends: His recent publications highlight interdisciplinary work at the intersection of quantum computing, graphene-based electronics, and biological systems modeling. Key themes include memristive devices for neuromorphic computing, quantum cellular automata architectures, and simulations of bacterial communication mechanisms. Teaching: Offers undergraduate courses in Microelectronics and Quantum Computers, and postgraduate courses in Nanoelectronics and Quantum Information Processing. Laboratory: Works in the Integrated Circuits Laboratory, focusing on design, modeling, and simulation of micro/nanoelectronic components and systems.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +۳ مورد دیگر

John Tsaknakis is an Associate Professor at the Department of Electrical and Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in Computational Geometry and Multidimensional Data Structures from the University of Patras (2004), following a diploma in Computer Engineering and Informatics (1996). His research focuses on Information Management in Databases, Big Data Systems, Data Structures, and Knowledge Mining in Web-based contexts. Since 2004, he has contributed to numerous research and development projects, particularly in software systems and data management. His work spans theoretical advancements and practical applications, including AI-driven labor market analysis, energy demand forecasting, and interoperable social protection frameworks. Research interests include database optimization, computational geometry, and leveraging big data for societal challenges. His publications reflect a blend of technical innovation and real-world problem-solving, with recent work addressing pandemic impacts on employment and AI’s role in reducing gender disparities. He is accessible in Building K on Mondays and Tuesdays, 8:00–9:00 AM, though prior arrangement is recommended. Dr. Tsaknakis collaborates on international projects, such as World Bank initiatives in social protection systems, and maintains active involvement in academic administration and teaching. His contributions to the field are further highlighted through his curriculum vitae and ongoing engagement in the academic community.

• Operations Research
• Marketing Strategy
• Artificial Intelligence
• +۳ مورد دیگر

Tsafarakis Stelios is an Associate Professor at the School of Production Engineering and Management (PEM) of the Technical University of Crete. He is affiliated with the Production Engineering and Management department and can be reached at tsafarakis@tuc.gr . His office is located in room Δ5.009 of the DPEM Building on the Ground Floor. His research focuses on optimization algorithms (e.g., swarm intelligence, nature-inspired computations), product line design strategies, marketing analytics, and applications of ICT in education. He has pioneered computational frameworks integrating artificial intelligence with consumer behavior analysis, particularly in dynamic sectors like tourism and education. Recent work highlights include: Developing bio-inspired algorithms (e.g., flying fox optimization, mayfly algorithms) for complex decision-making problems Investigating ICT adoption strategies in higher education during crises Applications of gamification in tourism and educational settings His publications demonstrate a strong interdisciplinary approach, bridging operations research, marketing strategy, and computational sciences. No scientific awards are listed in the provided materials. Dr. Tsafarakis collaborates with the university's Production Systems Laboratories and contributes to strategic initiatives in supply chain innovation. His work often involves industry partnerships to translate theoretical models into practical solutions for product diversification and market strategy optimization.

• Machine Learning
• Data Mining
• Evolutionary Computation
• +۴ مورد دیگر

Sotiropoulos Dionisios is an Assistant Professor at the Department of Informatics, University of Piraeus. His research focuses on bio-inspired computing and machine learning methodologies, with a specific emphasis on social media analysis. He has held postdoctoral positions at the Athens University of Economics and Business (Department of Management Science and Technology) and serves as a visiting researcher at the Norwich Business School, University of East Anglia. He is a member of the SocioMine research group. Education: PhD in Informatics (2011), University of Piraeus; BSc in Informatics (2003), University of Piraeus His research spans Machine Learning , Data Mining , Evolutionary Computation , Signal Processing , and Intelligent Software Systems . Recent work explores hybrid AI architectures combining knowledge graphs and large language models for cultural analytics, boundary-aware classification, and transparent financial modeling using genetic programming. His publications reveal trends in applying machine learning to social media analytics, healthcare diagnostics, cryptocurrency trading, and cultural domains like music and political speech. Key methodologies include LSTM networks , artificial immune systems , BERT models , and reinforcement learning . As part of the SocioMine research group , he develops user modeling techniques for personalized recommendation systems and investigates opinion formation dynamics in social networks.

Michael Papoutsidakisمشاهده پروفایل

استاد

• Automatic Control Systems
• Mechatronics
• Industrial Automation
• +۸ مورد دیگر

Professor Michael Papoutsidakis is affiliated with the Department of Industrial Design and Production Engineering at the University of West Attica. His academic career spans research in industrial automation, mechatronics, and intelligent control systems, with a focus on applications in hydraulic/pneumatic systems, robotics, and Industry 4.0 technologies. PhD from Bristol Robotics Laboratory (2004) MSc in Automatic Control Systems from University of the West of England (2004) Graduated from TEI Piraeus Automation Engineering (2000) His research interests include: Modeling of fluid power systems AI-driven control algorithms Smart logistics and ERP systems Embedded systems for motion devices Autonomous robotic platforms Wireless sensor networks in industrial applications Recent publications highlight his work at the intersection of 3D printing, robotics, and Industry 4.0, including advancements in digital twins, biomimetic manufacturing, and drone technology. His research emphasizes practical implementations for industrial and educational contexts. 2005 Patent for robotic training base 2025 Digital Twin Systems research 2024 UAV fuzzy control systems Contact: mipapou@uniwa.gr

• Smart Textiles
• Occupational Safety
• Ergonomics
• +۵ مورد دیگر

George Priniotakis is a Professor in the Department of Industrial Production Systems at the University of West Attica. He specializes in innovative textile technologies for multifunctional clothing, with a focus on medical and military applications, wearable sensors, and sustainable materials. His work bridges engineering, ergonomics, and environmental stewardship. University of Leeds – M.Sc. in Fiber Science and Technology (1992) University of Ghent – PhD in Conductive Textile Materials His research interests include: Smart systems using conductive textiles Risk management via wearable sensors Recyclable yarn development Innovative educational tools for engineering Professor Priniotakis has led numerous research projects as a scientific director and coordinator, participated in over 100 international conferences, and maintains an H-index of 12. He serves as President of the Organizing Committee for the biennial AITAE conference.

• Optics
• Spectroscopy
• Diagnostic Imaging
• +۴ مورد دیگر

Vasilios Papadakis serves as an Assistant Professor at the University of West Attica with over two decades of international research and teaching experience spanning Delft University of Technology, Foundation for Technology and Research, University of Crete, and Hellenic Mediterranean University. His expertise centers on non-destructive testing, multispectral imaging, and diagnostic methodology development for material surface analysis under stress conditions. His academic foundation includes dual doctoral achievements: PhD in Spectral Tissue Imaging (Medical School, University of Crete) PhD in Organismal Behavior Observation via Machine Vision (Department of Biology, University of Crete) Dr. Papadakis' research integrates optical physics and engineering to pioneer diagnostic solutions. Core focus areas include: Spectroscopic characterization through Raman, infrared, and fluorescence techniques Material differentiation based on spectral signatures Optoelectronic device design for industrial information systems Dynamic surface analysis during stress exposure Analysis of his 150+ publications reveals dominant themes in Industry 4.0 implementation and sustainable manufacturing . Recent work demonstrates cross-disciplinary impact through 3D-printed infrastructure, biomimetic drone components, and machine learning-driven predictive maintenance systems—bridging theoretical mathematics with practical engineering solutions. As an educator, he teaches foundational engineering mathematics (Linear Algebra, Calculus) and specialized courses including Strength of Materials and Unmanned Aerial Systems. His pedagogical innovations feature low-cost robotics platforms like DuBot and sustainability integration through upcycled materials in mechatronics labs. He directs the Non-Destructive Testing and Systems Diagnosis Methodologies Laboratory , where his team develops imaging solutions for industrial quality control, with particular emphasis on stress-induced surface phenomena and embedded diagnostic systems for material science applications.

• Machine Learning
• Bio-inspired Computing
• Artificial Immune Systems
• +۷ مورد دیگر

Dionysios Sotiropoulos serves as an Assistant Professor at the Department of Informatics, University of Piraeus, specializing in bio-inspired algorithms with emphasis on social media analysis. His academic career spans multiple prestigious institutions in Greece and internationally. Dr. Sotiropoulos earned his PhD in Computer Science from the University of Piraeus in 2011, following his undergraduate degree in the same field from the same institution in 2003. His doctoral research focused on bio-inspired computing with particular emphasis on machine learning methodologies based on Artificial Immune Systems. His primary research interests encompass Machine Learning, Data Mining, Evolutionary Computation, and Signal Processing, with specific applications in Digital Social Networks. He develops machine learning and pattern recognition algorithms for data mining from social networks, with recent publications focusing on community detection in platforms like Twitter, prediction of future ties, thematic modeling of user posts, sentiment analysis, and computational theory of Opinion Formation Models. Dr. Sotiropoulos has served as a post-doctoral researcher at the Athens University of Economics and Business in the Department of Management Science and Technology, where he is a member of the SocioMine research group. He also held a position as visiting researcher at the Norwich Business School, University of East Anglia, demonstrating his international research collaborations.