جستجوی استاد راهنمای دانشگاهی

Christos Drososمشاهده پروفایل

استادیار

• Industry 4.0
• Internet of Things (IoT)
• Industrial Supervisory Systems
• +۳ مورد دیگر

Christos Drosos is an Assistant Professor at the Department of Industrial Design and Production Engineering , School of Engineering , University of West Attica . His academic focus spans Industry 4.0 technologies , Internet of Things (IoT) , Industrial Supervisory Systems , Heuristic and MetaHeuristic Algorithms , Information Systems , and Embedded Systems . Education : BEng in Automation Engineering, Technological Educational Institute of Piraeus MSc (with distinction) in Informatics, University of Piraeus PhD in Computer Science, University of Piraeus (2016) Postdoctoral Research, University of Thessaly Research Interests center on advancing Industry 4.0 through technologies like IoT and Embedded Systems , with applications in automated manufacturing , environmental monitoring , and smart infrastructure . His work also explores heuristic algorithms for optimization and robotics in sustainable contexts. Recent Publications highlight trends in 3D printing , swarm robotics , and wireless sensor networks for cultural heritage preservation and agricultural modernization . These studies emphasize Industry 4.0 integration, sustainability , and smart system optimization . Laboratory Affiliation : Dr. Drosos is associated with the Electronic Automation, Telematics & Cyber-Physical Systems Research Laboratory at the University of West Attica, supporting his work in automation , IoT , and embedded systems .

• Machine Learning Algorithms
• Business Analytics
• Recommender Systems
• +۳ مورد دیگر

Professor Georgios Lekakos is a faculty member at the Athens University of Economics and Business (AUEB), serving as Professor in the Department of Management Science and Technology, Director of the M.Sc. Program in Management Science and Technology, and Director of the Professional M.Sc. in Digital Transformation funded by Eurobank. He previously served as Vice Rector for Research and Lifelong Learning (2000–2024), President of the Research Center, and President of the Lifelong Learning Center at AUEB. Research Interests: Machine learning algorithms and data analytics for business intelligence Recommender systems and personalization technologies Big data strategies and scalable analytics architectures E-business models and application design with emphasis on user experience His scholarly output includes over 70 publications in top-tier journals such as the British Journal of Management, Journal of Business Research, European Journal of Operational Research, and User Modeling and User Adapted Interaction. His work has garnered more than 5,000 citations (h-index 31), reflecting significant impact in the fields of management science and technology. Scientific Awards and Honors: Teaching Excellence Awards for both undergraduate and postgraduate courses at AUEB Best Paper Award at an international conference Wiley Citation for a top 10% most-cited article in the British Journal of Management Research Leadership & Grants: Professor Lekakos has coordinated or served as principal investigator in over 25 R&D projects funded by the European Union, national Greek programs, and the private sector. He has also contributed to national digital transformation initiatives as a member of several government committees. He has held leadership roles in academic service, including chairing organizing committees of two international conferences and serving on the program committees of ten others, as well as acting as guest editor for special journal issues.

Dimitrios Pappasمشاهده پروفایل

پژوهشگر

• Statistics
• Linear Algebra
• Image Processing
• +۵ مورد دیگر

Dimitrios Pappas is a faculty member at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business . His research spans multiple disciplines, including Statistics , Linear Algebra , Image Processing , and Financial Mathematics . His work focuses on generalized inverses , matrix factorization , and quadratic optimization , with applications in image deblurring , credit risk modeling , and smart local energy systems . Recent publications highlight his contributions to network intrusion detection , Markov chain lumpability , and symbolic computation methods . While no specific scientific awards or student advising details are provided in the available text, his extensive publication record demonstrates expertise in applied mathematical modeling and computational techniques . He can be contacted at dpappas@aueb.gr .

Anastasia Kostakiمشاهده پروفایل

استاد

• Demography
• Mortality Analysis
• Fertility Studies
• +۳ مورد دیگر

Anastasia Kostaki is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), where she serves as Chairman of the Department of Statistics since 2014. She is also a Member of the Deanship of the School of Information Sciences and Technology and a Member of the Senate of AUEB. Her academic career spans several decades with significant contributions to demographic and statistical research. Professor Kostaki's primary research interests focus on demography, mortality analysis, fertility studies, and population statistics. Her work particularly emphasizes methodological approaches to analyzing demographic data, with special attention to mortality patterns, fertility trends, and the impact of socioeconomic factors on population dynamics. She has developed expertise in statistical modeling techniques for demographic data, including the application of machine learning methods like Support Vector Machines for demographic rate graduation. Her recent publications demonstrate a strong focus on the demographic implications of the Greek economic crisis, examining mortality trends, fertility patterns, and health inequalities among migrant and native populations. The research shows a consistent pattern of applying rigorous statistical methodology to contemporary demographic challenges in Greece and Europe, with increasing attention to health disparities during periods of socioeconomic instability. Professor Kostaki has supervised numerous academic projects and has been actively involved in teaching courses in Demometry and Actuarial Statistics. Her administrative roles within the university structure indicate her leadership position within the Department of Statistics and the broader academic community at AUEB.

• Combinatorial Optimization
• Mathematical Programming
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Manolis N. Kritikos serves as Professor of Operations Research and Information Systems at the Department of Management Science and Technology, School of Business, Athens University of Economics and Business (AUEB). He holds concurrent leadership roles as Director of the Management Science Laboratory (MSL), Deputy President of his department, and President of AUEB's student club, while teaching undergraduate and graduate courses across multiple Greek institutions including National and Kapodistrian University of Athens and University of West Attica. His academic foundation includes: B.Sc. in Mathematics from the University of Athens M.Sc. in Computer Science and Operations Research from the University of Athens Ph.D. in Computer Science and Management Science from AUEB (funded by AUEB and EDAMBA with Rotterdam Business School as host) Research centers on combinatorial optimization, mathematical programming, and AI/ML applications for operational problems, developing algorithmic frameworks for supply chain, transportation, and production economics. His work bridges theoretical computer science with industrial performance measurement systems. Prestigious recognition includes: Elsevier's Certificate of Outstanding Contribution in Reviewing for Expert Systems With Applications (2017) Review Certificates from European Journal of Operational Research, International Journal of Production Economics, and four additional top-tier journals As Associate Editor for the Journal of Statistics and Management Systems, he has reviewed for over 20 journals while authoring a computer science textbook and editing Greek editions of Pearson/Manchester University Press works. His service extends to Secretary General of MASSEE (2015-2021), executive roles in the Hellenic Mathematical Society, consultancy for Greece's Ministry of Development, and oversight of 60+ government IT tenders. The Management Science Laboratory under his direction drives interdisciplinary optimization research with industry partners.

• Digital Signal Processing
• Image Processing
• Computer Vision
• +۲ مورد دیگر

Dimitrios Kosmopoulos serves as Professor in the Computer Engineering and Informatics Department at the University of Patras, Greece, with extensive experience across multiple academic institutions including National Technical University of Athens (NTUA), Rutgers University, and University of Texas at Arlington. His research bridges theoretical computer science with practical applications in accessibility, agriculture, and cultural heritage preservation. Education: B.Eng. in Electrical and Computer Engineering, National Technical University of Athens (1997) PhD in Electrical and Computer Engineering, National Technical University of Athens (2002) Professor Kosmopoulos' research integrates computer vision, machine learning, and signal processing to solve real-world problems. His primary focus areas include sign language recognition systems for museum accessibility, precision agriculture applications for crop monitoring and disease detection, and digital restoration of ancient scripts like Mycenaean Linear B. His methodological innovations frequently involve geometric analysis, time-series modeling, and multimodal data fusion techniques that advance both theoretical frameworks and practical implementations. Analysis of his recent publications (2023-2025) reveals three dominant research thrusts: accessibility technologies for deaf communities (particularly museum navigation systems), agricultural automation using computer vision (olive grading, tomato disease detection), and computational archaeology (Linear B tablet restoration). His work consistently employs cutting-edge approaches including geometric knowledge distillation, coupled learning architectures, and 3D motion analysis, demonstrating strong interdisciplinary connections between computer science, agriculture, and humanities. No scientific awards were documented in the provided source materials. While specific advising details and grant information were not explicitly stated, his leadership in projects like HealthSign (sign language healthcare systems) and MuseLearn (museum accessibility platforms) indicates substantial research funding and collaborative supervision activities spanning computer vision, robotics, and assistive technology domains. Professor Kosmopoulos operates within the Division of Hardware and Computer Architecture at the University of Patras, collaborating with the Computer Technology and Architecture Laboratory, VLSI Microelectronics Laboratory, Signals and Telecommunications Laboratory, and Computer Communications Networks Laboratory. His current research integrates these facilities to develop systems like the SignGuide project for museum tours and frameworks for early pest detection in greenhouse crops, emphasizing practical implementations of machine learning in constrained environments.

Evi Papaioannouمشاهده پروفایل

استادیار

• Design and analysis of algorithms
• Approximation and online algorithms
• Algorithmic aspects of wireless communication networks
• +۹ مورد دیگر

Evi Papaioannou is an Assistant Professor at the Department of Computer Engineering and Informatics , University of Patras. Her research focuses on foundational and applied aspects of algorithms, computational complexity, and distributed systems, with interdisciplinary applications in education and the humanities. Researcher at the Computer Technology Institute & Press (CTI "Diophantus") Teaches courses like Theory of Computation , Parallel Algorithms , and Computational Complexity Research Interests span algorithmic design, wireless networks, game theory, and pedagogical approaches to computational thinking. She also integrates theoretical computer science into educational technology and humanities. Her affiliations include the Division of Applications and Foundations of Computer Science , which oversees research in fundamental principles and emerging areas like high-performance computing, artificial intelligence, and multimedia networks. She contributes to laboratories in combinatorial algorithms, distributed systems, and machine learning.

• Machine Learning
• Artificial Intelligence
• Telecommunications Networks
• +۶ مورد دیگر

Verikoukis Christos is an Associate Professor at the University of Patras, Department of Computer Engineering and Informatics, specializing in the Division of Hardware and Computer Architecture. His research bridges cutting-edge computer architecture with telecommunications networks and artificial intelligence applications. His research interests focus on applying machine learning and AI techniques to telecommunications networks, particularly 5G, 6G, and Beyond-5G systems. Key areas include feature selection algorithms, uncertainty quantification in AI models, chain-of-thought reasoning with large language models, user behavior modeling in cloud environments, Kubernetes scheduling for high availability applications, and attack detection in next-generation networks. His work demonstrates a strong interdisciplinary approach connecting computer architecture, networking, and artificial intelligence to solve practical problems in modern telecommunications infrastructure. His research has significant implications for network security, resource optimization, and intelligent network management in next-generation communication systems. Professor Verikoukis actively supervises research projects exploring the intersection of AI and telecommunications, with a particular emphasis on practical implementations and real-world applications in network environments.

• Social Data Science
• Digital Humanities
• Quantitative and Computational Social Science
• +۴ مورد دیگر

Panagiotis Michailidis is a Professor at the Department of Balkan, Slavic and Oriental Studies, School of Economic and Regional Studies, University of Macedonia. His academic work focuses on Computational Methods and Informatics, integrating technological expertise with regional studies. BSc (1998) and PhD (2004) in Applied Informatics from University of Macedonia Academic career progression: Lecturer (2004-2013), Assistant Professor (2014-2019), Associate Professor (2019-2023), now Professor Research spans computational approaches to social science and humanities, with significant contributions to: Social Data Science Digital Humanities Quantitative Social Science Parallel/Distributed Computing String Matching Algorithms Scientific Computing Recent publications reveal interdisciplinary focus combining: Augmented Reality applications for cultural heritage Machine Learning for Greek language sentiment analysis High-performance computing implementations Metaheuristic optimization techniques Scientometric analyses of research fields Active in academic service through: IEEE memberships Conference program committee roles Guest editor for Algorithms special issue Research program participation Reviewing for multiple journals Teaching portfolio includes: DIGITAL SOCIAL RESEARCH METHODS INFORMATION, TECHNOLOGY AND SOCIETY QUANTITATIVE METHODS OF SOCIAL SCIENCES SPACE AND CULTURAL MANAGEMENT COMPUTER SCIENCE TOPICS

• Machine Learning
• Big Data Analytics
• Mobile Networks
• +۳ مورد دیگر

Konstantinos Demestichas is an Assistant Professor at the Department of Agricultural Economics and Rural Development of the Agricultural University of Athens (AUA) , where he joined in 2021. He is affiliated with the Informatics Laboratory and teaches courses like R Programming for Data Science , Internet and Applications in Agriculture , and Computer Programming and Applications . His research focuses on machine learning , Big Data analytics , mobile networks , and secure digital technologies for agricultural and environmental applications. PhD in Telecommunications (2009), NTUA MBA in Techno-Economic Systems (2012), joint program of NTUA and University of Piraeus MSc in Quality Assurance (2015), Hellenic Open University Diploma in Electrical and Computer Engineering (2005), NTUA He has participated in numerous European and national research projects since 2005, often as scientific or project coordinator , and authored over 159 publications. He has served as a technical expert for the European Commission and contributed to international conference program committees and journal editorial boards.

• Systems & Control Theory
• Cyber-Physical Systems
• Robotic Systems
• +۳ مورد دیگر

Dimitrios Dechouniotis is an Assistant Professor at the Department of Electrical and Computer Engineering within the School of Electrical and Computer Engineering at the University of Patras . His career spans roles in academia, research institutions, and public administration. 2004: Diploma in Electrical Engineering (University of Patras) 2006: MSc in Automation Systems (NTUA) 2014: PhD in Electrical and Computer Engineering (University of Patras) His research focuses on Systems & Control Theory , Cyber-Physical Systems , Robotics , Cloud Computing , and 5G Communications . Recent publications highlight work in edge computing , network slicing , and resource orchestration for IoT and robotics applications. He has participated in over 10 national and European research projects related to telecommunications and Industry 4.0. His technical contributions include frameworks for edge-cloud continuum orchestration , blockchain-based slice orchestration , and energy-aware resource allocation , with a strong emphasis on system modeling and control-theoretic approaches. Contact: dechouniotis@uop.gr | Office: Building Z, 2nd Floor

Elias Stathatosمشاهده پروفایل

استاد

• Photovoltaics
• Solar Cells
• Nanotechnology
• +۶ مورد دیگر

Professor Elias Stathatos is a distinguished academic at the University of Peloponnese, serving as Professor in the Electrical and Computer Engineering Department and Head of the Nanotechnology and Advanced Materials Laboratory (N&AML). Born in Patras, Greece in 1968, he received his Physics degree and PhD from the University of Patras, followed by postdoctoral research at the University of Cincinnati's Department of Civil and Environmental Engineering. He previously served as Department Head of Electrical Engineering at the Technological-Educational Institute of Patras from 2008-2010. His educational background includes a Physics degree and PhD from the University of Patras, followed by specialized postdoctoral training in the United States. This foundation has enabled his significant contributions to advanced materials science and photovoltaic technologies. Professor Stathatos' research focuses on next-generation photovoltaic technologies, particularly third and fourth generation solar cells. His work spans dye-sensitized, quantum dot, and perovskite solar cells utilizing nanostructured materials for enhanced energy conversion. He also investigates electrochromic materials for smart windows applications and solar radiation concentrators to improve conventional photovoltaic efficiency. His research extends to photocatalytic materials development for environmental protection applications, demonstrating a commitment to sustainable energy solutions that address multiple societal challenges. His extensive publication record shows a clear trajectory toward more complex, scalable, and application-focused photovoltaic technologies. Recent work emphasizes practical implementation challenges including stability enhancement, scalable manufacturing processes, and integration with agricultural systems through agrivoltaics. The research demonstrates increasing interdisciplinary collaboration, combining materials science, electrical engineering, and environmental applications. Section Editor in Chief in 'Optoelectronics' of 'Electronics' Journal (MDPI) Editorial board member for multiple prestigious journals including 'Molecules', 'Nanomaterials', and 'Materials Science for Semiconductor Processing' Recognized in Stanford University's Most Cited Author list 2020/2021 Extensive peer review contributions to over 50 international journals Professor Stathatos serves as Principal/Co-Principal Investigator for 30 funded research proposals from international and national sources. His laboratory actively participates in numerous collaborative projects focusing on advanced photovoltaic technologies and nanomaterials development. The Nanotechnology and Advanced Materials Laboratory under his leadership maintains strong industry and academic partnerships that facilitate technology transfer and practical implementation of research findings. As head of the Nanotechnology and Advanced Materials Laboratory (N&AML), Professor Stathatos oversees a dynamic research environment focused on advanced materials synthesis, characterization, and application development. The laboratory maintains state-of-the-art equipment for nanomaterial fabrication and photovoltaic device testing, supporting both fundamental research and applied technology development.

• applied econometrics
• computational finance
• labor economics
• +۳ مورد دیگر

Charalambos (Haris) Angyropoulos is an Assistant Professor in the Department of Economics at the University of Piraeus, Greece, where he joined in 2024. His academic career is complemented by significant private sector experience, bringing practical insights to his teaching and research in quantitative economic methods. Assistant Professor, Department of Economics, University of Piraeus (2024-present) Postdoctoral Researcher, Department of International & European Studies, University of Piraeus Research Fellow, Gnosis Research Center, Illinois Institute of Technology (USA) Dr. Angyropoulos holds a PhD in Economics (2018) and a Master's degree in Applied Statistics (2007), both from the University of Piraeus, as well as a Bachelor's degree in Mathematics (2002) from the National and Kapodistrian University of Athens. His academic training provides a strong foundation for his work in quantitative economic analysis. His research focuses on applied econometrics, computational finance, labor economics, and environmental economics . Specifically, he investigates the impact of the shadow economy on regional competitiveness within the EU and applies machine learning techniques to financial time series analysis. His methodological approach combines traditional econometric methods with innovative computational techniques to address complex economic questions. His recent publications demonstrate a consistent focus on quantitative economic analysis, with particular emphasis on EU economic dynamics, financial markets, and computational methods. The research shows a progression toward increasingly sophisticated analytical techniques, incorporating machine learning approaches alongside traditional econometric methods. His work appears in respected journals including International Journal of Finance and Economics , Applied Economics Letters , and International Advances in Economic Research . Dr. Angyropoulos teaches undergraduate courses including Statistical I, Statistical II, Business Analytics, and International Business and Investments. His private sector experience as CEO of TMEDE Microfinance Solutions and Head of Risk and Investments for the Public Works Engineers and Contractors Fund informs his practical teaching approach, connecting theoretical concepts with real-world applications.

Georgakellos Dimitriosمشاهده پروفایل

استاد

• Technology and Innovation Management
• Energy and Environmental Management
• Entrepreneurship
• +۳ مورد دیگر

Georgakellos Dimitrios is a Professor at the Department of Business Organization and Administration of the University of Piraeus , where he also serves as Department Chair. He holds a PhD in Business Organization and Management from the University of Piraeus and a Mechanical Engineering degree from the National Technical University of Athens. Research Focus: Technology and Innovation Management, Energy and Environmental Management, Entrepreneurship, and Development of Economic/Technical Studies (Business Plans & Feasibility Studies) Awards: Published in leading journals including Journal of Cleaner Production , Marine Pollution Bulletin , and Technological Forecasting and Social Change Publications: Over 100 scientific papers and co-author of two academic books. His recent work explores topics like ESG initiatives in the hotel industry, industrial symbiosis modeling, and decarbonization strategies in energy sectors. He serves as a reviewer for international journals and has led European research programs.

• Signal Processing
• Audio-Speech Analysis
• Machine Learning
• +۳ مورد دیگر

Associate Professor Angelos Pikrakis is a faculty member of the Department of Informatics at the University of Piraeus and an affiliate member of the Institute of Speech Processing (ISPP). His academic career spans signal processing with emphasis on audio-speech analysis. Dr. Pikrakis earned his Diploma in Computer Engineering and Informatics from the University of Patras (1993) and PhD in Informatics from the National and Kapodistrian University of Athens (2002). His scholarly work focuses on sound analysis using machine learning algorithms, Hidden Markov models, Bayesian architectures, and sequence matching methods. His research output includes two internationally recognized books and over 50 publications in scientific journals and conferences, accumulating more than 1,150 citations with an h-index of 16 (Google Scholar). He serves on the editorial board of the EURASIP Journal on Advances in Signal Processing since 2008 and has contributed for over ten years as co-organizer and reviewer for international conferences. Best paper award recipient First place winner in an algorithm competition Dr. Pikrakis has participated in research projects funded by the General Secretariat for Scientific and Technological Research and the EU. He currently supervises three doctoral theses in related fields and maintains active involvement in the academic community through conference organization and peer review activities.