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Alex KaragrigoriouView profile

Associate Professor

• Applied Probability
• Statistical Modeling
• Biostatistics
• +6 more

Alex Karagrigoriou is an Associate Professor of Statistics at the University of Piraeus, Department of Statistics and Insurance Science. He holds a BSc in Mathematics from the University of Patras, an MA and PhD in Mathematical Statistics from the University of Maryland, USA. His academic career includes roles at the University of Cyprus (1992–2014), the University of the Aegean (2014–2024), and adjunct positions at the Hellenic Open University (2014–present) and Mediterranean Institute of Management (1994–1998). Prior academic roles include work in the USA Department of Agriculture (1986–1992) and maritime sector experience (1980–1986). His research focuses on Applied Probability , Statistical Modeling , Reliability Theory , and Actuarial Mathematics . He has authored/co-authored over 100 journal articles, 10 edited volumes, and 40 conference proceedings, with notable contributions in divergence measures, semi-Markov processes, and risk modeling. His work has been cited over 1,400 times (h-index=17). Key achievements include supervising 3 postdocs, 6 PhDs, and 50 Master’s students, many of whom have received awards such as the Best Young Statistician Award (2007, 2018, 2021). His research trends emphasize stochastic modeling of complex systems, entropy-based inference, and interdependency patterns in econometric data. Labs/Teams: Active collaborator in interdisciplinary projects involving reliability engineering, biostatistics, and financial risk analysis. Serves as Co-Editor of Journal of Reliability and Statistical Studies and contributor to multiple international journals.

Livieris IoannisView profile

Assistant Professor

• Machine Learning
• Optimization Methods
• Deep Learning
• +7 more

Livieris Ioannis is an Assistant Professor in the Department of Statistics and Insurance Science at the University of Piraeus. He holds academic positions including Adjunct Professorships at the University of the Peloponnese and Technological Educational Institute of Western Greece. His research focuses on optimization methods for neural networks, machine learning, ensemble techniques, and their applications in healthcare, finance, education, and environmental science. Education: Ph.D. in Mathematics (2012), University of Patras M.Sc. in Computational Mathematics & Informatics in Education (2008), University of Patras B.Sc. in Mathematics (2006), University of Patras Research Interests: Dr. Livieris specializes in developing optimization algorithms for neural networks, semi-supervised learning, and ensemble methods. His work emphasizes practical applications such as time series forecasting (financial, environmental), medical image analysis (cancer detection, X-ray classification), and educational data mining (student performance prediction). He also explores explainable AI frameworks to enhance transparency in deep learning models. Key Contributions: He has contributed to over 50 peer-reviewed articles, including work on weight-constrained neural networks, gradient-based optimization, and CNN-LSTM models for cryptocurrency forecasting. His research has been recognized with inclusion in Stanford’s top 2% scientists (2020–2023) and a best paper award at HERCMA ’09. Awards & Roles: Associate Editor, Evolving Systems (Springer) Reviewer for 50+ journals including Neurocomputing and IEEE Transactions on Neural Networks Grants & Projects: Principal investigator in EU-funded projects like NEUROCLIMA (climate resilience via AI), ORBIS (democratic participation via AI), and PVAdapt (sustainable energy systems). He also leads initiatives in explainable AI for medical imaging and causal effect estimation in social science. Labs & Teams: Active in interdisciplinary teams at the University of Piraeus, focusing on AI-driven solutions in education, healthcare, and environmental monitoring. Collaborates with institutions like the IEEE and the Hellenic Association of ICT in Education.

George TsekourasView profile

Professor

• Artificial Intelligence
• Cultural Informatics
• Machine Learning
• +6 more

Prof. George Tsekouras is a Professor in the Department of Cultural Technology and Communication at the University of the Aegean since 2002. His research focuses on artificial intelligence, cultural informatics, and expert systems, with over 100 publications in journals and conferences. He has contributed to projects involving machine learning fairness, blockchain sustainability, healthcare monitoring systems, and cultural heritage preservation. Research interests include AI applications in cultural heritage (e.g., 3D asset quality, art recoloring for color blindness), ethical AI in criminal justice systems, energy-efficient blockchain technologies, and environmental monitoring via machine learning. His work bridges computational methods with societal challenges, emphasizing interdisciplinary approaches. Notable trends in his publications include leveraging graph neural networks for healthcare (e.g., Parkinson’s disease monitoring), exploring ChatGPT for hospitality personalization, and developing hybrid machine learning models for disaster prediction. His contributions span technical innovation and social impact, such as improving accessibility through image recoloring algorithms and reducing blockchain’s environmental footprint. No scientific awards are listed. Advising and grants details are unavailable, but his extensive publication record indicates active research collaboration. His work often integrates cultural data with computational tools, reflecting his department’s mission at the University of the Aegean.

• Artificial Intelligence
• Evolutionary Computation
• Multiobjective Optimization
• +7 more

Konstantinos Liagouras serves as an Assistant Professor in the Department of Informatics at the University of Piraeus, specializing in Intelligent Systems for Operational and Financial Resources. His academic career spans teaching and research at both undergraduate and graduate levels, with extensive participation in research programs aligned with computational finance and artificial intelligence. His educational foundation includes: Bachelor's and PhD in Informatics from the University of Piraeus MSc in Computer Systems and Networking from London South Bank University MPhil in International Finance from the University of Glasgow Dr. Liagouras' research integrates computational intelligence with financial systems, focusing on evolutionary algorithms for portfolio optimization and decision support frameworks. His work bridges machine learning, fuzzy systems, and multiobjective optimization to solve complex resource allocation problems in business contexts, demonstrating significant interdisciplinary synergy between computer science and financial engineering. No scientific awards were documented in the source materials. He has supervised coursework across Enterprise Resource Planning (ERP) systems, Project Management, Business Analytics, and Big Data analytics. While specific grant details remain unspecified, his research program consistently targets operational and financial resource optimization through computational methods, with office hours conducted by email appointment between 10:00-16:00.

Georgios DimitrakopoulosView profile

Associate Professor

• Wireless Networks
• Intelligent Transport Systems
• Cognitive Networks
• +3 more

Georgios Dimitrakopoulos is an Associate Professor at Harokopio University's Department of Informatics and Telematics (School of Digital Technology) since 2010. He holds a PhD in Electrical and Computer Engineering from the University of Piraeus (2007) and a degree from the National Technical University of Athens (2002). His research focuses on cognitive networks, intelligent transport systems, and automated driving, with over 200 publications and three authored books. He has participated in EU-funded projects (Horizon 2020, ECSEL, etc.) and worked in industry roles including construction company management and startup ventures. Research interests emphasize communication network optimization algorithms, smart city applications, and AI-driven transportation solutions. His work bridges academic research with practical implementations in ICT and autonomous systems. Publications span vehicular networks, UAV path planning, and parallel computing, reflecting interdisciplinary strengths in both hardware optimization and AI-driven systems. He has been recognized as among the world's top 2% scientists by Stanford University rankings. Grants include extensive EU program participation, complemented by industry collaborations. His advising includes supervision of researchers in autonomous systems and network algorithms. The ICSA research group (icsa.hua.gr) likely represents his active lab/teams.

Dimitrios MichailView profile

Associate Professor

• Algorithms
• Graph Algorithms
• Machine Learning
• +6 more

Dimitrios Michail is an Associate Professor in the Department of Computer Science and Telecommunications at Harokopio University. He holds a Diploma in Electronic Engineering and Computer Engineering from the Polytechnic University of Crete, a Master's in Computer Science, and a Ph.D. in Algorithms from the Max-Planck Institute for Computer Science. His research focuses on algorithms for modern computational models, graph algorithms, machine learning, and their applications in computer vision, wildfire prediction, and social network analytics. He has been involved in European projects like TELEIOS and DeepCube. His work intersects earth observation, autonomous systems, and AI-driven solutions for environmental challenges. Recent research includes Earth-as-a-Graph frameworks for wildfire forecasting and novel datasets for InSAR analysis. He has contributed to libraries like JGraphT and JHeaps, emphasizing algorithmic efficiency and open-source tools. Michail's publications span graph theory, deep learning, and remote sensing applications, with a focus on real-world problems like flood mapping and fake news detection. He has collaborated on projects addressing urban mobility, public transport optimization, and disaster preparedness through spatio-temporal modeling.

Christos MichalakelisView profile

Professor

• Technoeconomics
• Cloud Computing
• Internet of Things (IoT)
• +6 more

Christos Michalakelis is a Professor at the Department of Informatics and Telematics, Harokopio University of Athens. He specializes in technoeconomic analysis, costing, and pricing strategies for ICT services, particularly in cloud computing and IoT. Currently serves as Director of the Applied Informatics Postgraduate Program and President of 'Study in Greece', the national agency for promoting Greek universities internationally. Previously worked as an IT manager in the Greek Ministry of Education. Education: No formal education details provided in the text. Research Interests: Focus on technoeconomic engineering, cloud service pricing, IoT applications, and socio-economic analysis of telecommunications. Explores decision support systems, machine learning applications in economics, and pandemic impact modeling. Recent work includes cloud brokerage models and cost-benefit analyses of infrastructure investments. Publications: Over 100 papers across journals and conferences, emphasizing cloud pricing models, IoT, and socio-economic forecasting. Recent trends highlight innovative applications of ML in price prediction and policy analysis. Grants/Advising: Manages postgraduate programs and internationalization initiatives. No explicit grant data provided, but extensive project experience in database systems and socio-technical frameworks. Labs/Teams: Leads the Applied Informatics program and collaborates with Study in Greece to enhance Greece's global academic profile.

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +7 more

Maria Ragousi is a faculty member in the Department of Electrical and Electronic Engineering at the University of West Attica, affiliated with the School of Engineering. She holds a PhD in Digital Signal Processing and Pattern Recognition from NTUA (1994), an MSc from the University of Virginia (1990), and a Diploma in Electrical Engineering from NTUA (1987). Her academic role is as a Lecturer, focusing on courses such as Digital Signal Processing, Biomedical Signal Processing, and Educational Technologies. Education: PhD (1994): Digital Signal Processing & Pattern Recognition, NTUA MSc (1990): Digital Signal Processing, University of Virginia Diploma (1987): Electrical Engineering, NTUA Her research interests span Digital Signal Processing (DSP), Spectral Analysis, Pattern Recognition (including neural networks and genetic algorithms), Biomedical Signal Processing, Wireless Sensor Networks for environmental monitoring, and E-Learning technologies. She has contributed to over 30 peer-reviewed publications, including work on EEG-based person identification, environmental sound classification, and educational data mining. Recent research emphasizes integrating machine learning into education and developing tools for environmental acoustic monitoring. She has collaborated on projects like the ESOUNDMAPS initiative, deploying wireless sensor networks for real-time environmental sound mapping. Her work also explores active learning methodologies in physics education and visualization of e-learning platform data. Maria advises courses at both undergraduate and postgraduate levels, including specialized programs in medical signal analysis and smart electronic systems. She actively participates in academic governance and has led several educational innovation projects funded by national and international grants.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +3 more

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.

Olympia PANAGOULIView profile

Assistant Professor

• Civil & structural engineering
• Numerical methods
• Fractals in engineering
• +4 more

Olympia PANAGOULI is an Assistant Professor in the Department of Civil Engineering at the University of Thessaly. She holds a Diploma in Civil Engineering from the National Technical University of Athens (1988) and a Doctoral Thesis from Aristotle University of Thessaloniki (1992), focusing on fractal geometry in structural analysis. Her academic roles include teaching Structural Analysis III, Elastoplastic Analysis, and Finite Elements at the University of Thessaly since 2007. She has extensive experience in structural analysis projects (1992-2007) and has been a lecturer in structural engineering at both Architectural and Civil Engineering departments of the University of Thessaly from 1999 to 2007. Professional Address: Dept. of Civil Engineering, University of Thessaly, Pedion Areos, 38334 Volos, Greece Phone: +302421074146 Email: olpanag@uth.gr Her research interests focus on applying fractal geometry to civil and structural engineering problems, including numerical methods, fractal interfaces, contact mechanics, and material behavior. She has actively participated in national and international research programs since 1989, addressing topics like nonsmooth mechanics, composite materials, and fractal data compression. Panagouli has also contributed to international conferences on computational mechanics, contact mechanics, and structural analysis since the early 1990s. Her computing expertise includes programming languages like FORTRAN and C, and operating systems such as UNIX and Windows. She has reviewed journals like Computers and Structures and Engineering Structures . Panagouli’s work emphasizes the intersection of fractal theory with civil engineering applications, addressing complex structural problems through innovative numerical techniques.

Damianos GavalasView profile

Professor

• Mobile Computing
• Pervasive Computing
• Wireless Networks
• +6 more

Prof. Damianos Gavalas is a Professor and Vice Head of the Department of Product and Systems Design Engineering at the University of the Aegean, Greece. He also serves as an Adjunct Professor at the Hellenic Open University. His research focuses on mobile/pervasive computing, extended reality, wireless networks, optimization algorithms, and transportation systems. He has authored over 200 publications, with an h-index of 37, and has led major research projects such as SMARTBUY (H2020) and iDeliver (Erasmus+). Education: PhD in Electronics Engineering (University of Essex, 2001), MSc in Telecommunications (University of Essex, 1997), BSc in Informatics (University of Athens, 1995). Research Interests: Mobile & Pervasive Computing Wireless Sensor Networks Immersive Technologies (AR/VR) Intelligent Transportation Systems Optimization Algorithms Awards: Recipient of Best Paper Awards, ranked top 2% in Networking & Telecommunications (Stanford, 2022). Advising & Grants: Supervised 3 completed PhDs and numerous MSc projects. Coordinated EU-funded projects including HoPE (EC/CIP7), MOVESMART (FP7), and eCOMPASS (FP7). Labs/Teams: Involved in interdisciplinary teams focusing on smart cities, cultural heritage technologies, and automotive systems.

• Robotics
• Mechanism Design
• Kinematics
• +4 more

Charalambos Valsamos serves as an Assistant Professor at the University of the Aegean, based at the Syros campus in Ermoupolis, Greece. His office is located in the Old 1st Gymnasio Building (office A.1.2.3) with a postal address at Konstantinoupoleos 2, Ermoupolis, Syros, TK 84100. Dr. Valsamos holds a PhD in Mechanical & Naval Engineering from the University of Patras (awarded 2017), where he completed his undergraduate studies in Mechanical Engineering in 2005. His doctoral research focused on the 'Methodology of Optimal Design of Metamorphic Arm'. His research spans advanced robotics domains with emphasis on kinematic analysis of robotic arms , metamorphic mechanism design , and computational optimization . He develops structural elements for novel robotic arms, transformation mechanisms for anatomy reconfiguration, and efficiency indices for robotic task execution. His work integrates Fuzzy Logic and Genetic Algorithms to optimize robotic work cells and arm anatomy for maximum operational efficiency. Dr. Valsamos teaches core engineering courses including Introduction to Computer Aided Design (CAGD), Design and Manufacturing Technologies, Design and Analysis of Mechanisms, and Studio 7B – Detailed Product Design I, reflecting his expertise in mechanical systems and robotic design. While his publications appear in international conferences and journals, specific works aren't listed in available materials. His research trajectory demonstrates consistent focus on enhancing robotic system performance through innovative mechanism design and computational intelligence applications.

Sapountzaki GaliniView profile

Assistant Professor

• Greek Sign Language (GSL) Grammar
• Deaf Education
• Educational Technology for Sign Languages
• +3 more

Sapountzaki Galini is an Assistant Professor at the Department of Special Education, University of Thessaly, specializing in Greek Sign Language (GSL). She has held this position since January 2012 and teaches courses on GSL linguistics and methodology. Her work focuses on language acquisition in deaf communities, educational accessibility, and technology-enhanced learning platforms for sign languages. Education: PhD in Linguistics (2005) from the University of Bristol Diploma in GSL Interpreting (1997) Bachelor’s in Philology (1994) from the Athens School of Philosophy Research Interests: Dr. Sapountzaki’s work bridges theoretical linguistics and applied education. She explores grammar structures in GSL, particularly tense/aspect markers, and advocates for bilingual education for deaf students. Her projects include developing e-learning platforms like SL-ReDu for GSL recognition and assessment, emphasizing 3D modeling and multimodal data fusion. She also examines the impact of language deprivation on deaf children and strategies for remote GSL instruction during crises like the pandemic. Grants & Advising: No specific grants listed, but her work is supported by projects like SYNENNOISI and DIANOIMA. She has advised on curricula for deaf education programs and collaborates with institutions like the Neuropsychology Laboratory and Pedagogical Institute. Her teaching spans special education teacher training and interpreter education. Labs/Teams: Collaborates with the Institute of Speech Processing (ISL) and the University of Thessaly’s Special Education Committee. Active in designing GSL video texts and accessibility tools for public schools.

Ilias MaglogiannisView profile

Professor

• Artificial Intelligence
• Biomedical Informatics
• Image Processing
• +7 more

Professor Ilias Maglogiannis is a leading academic in Computational Biomedicine at the University of Piraeus , directing its Computational Biomedicine Laboratory. He holds a PhD from the National Technical University of Athens and has held faculty positions at the University of the Aegean and University of Thessaly before joining the University of Piraeus in 2013. He has served as Dean and Department Chair, leading large-scale EU projects like AI4WORK and MELIORA . His research focuses on AI in Healthcare , including medical imaging, wearable devices, and telemedicine systems. He has published over 400 papers (h-index 46), three books, and serves on editorial boards of journals like IEEE JBHI and Personal and Ubiquitous Computing . Key Awards: Fellow of EAMBES, Senior IEEE Member Leadership: IFIP WG12.5 President (AI Applications) Current Projects: MedSecurance (IoMT security), E-Prevention (mental health monitoring) His teaching includes courses on Pattern Recognition , Telemedicine , and Digital Image Processing . He actively promotes AI ethics and human-centric digital twin technologies in healthcare and education sectors.

• Wireless Communication Networks
• Mobile Communications
• Edge Computing
• +3 more

Angelos Rouskas is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. Previously, he held roles including Lecturer, Assistant Professor, and Director of the Computer and Communication Systems Laboratory at the University of the Aegean (2000–2009). He specializes in teaching undergraduate and postgraduate courses on wireless networks, mobile communications, and computer networking. His research focuses on next-generation mobile and wireless communication networks, with emphasis on edge computing, IoT, energy efficiency, and network optimization. Education: He holds a Diploma in Electrical Engineering from the National Technical University of Athens (NTUA), an MS in Communications and Signal Processing from Imperial College London, and a PhD in Electrical and Computer Engineering from NTUA. Research: His work spans edge computing architectures, 5G/6G networks, energy-efficient network design, and heterogeneous network optimization. He has contributed to European and Greek research projects and served as TPC co-chair for the European Wireless 2006 Conference. Teaching: Current courses include Mobile and Personal Communication Networks, Systems Simulation, Internet Protocols, and Design and Optimization of Networks. Collaborations: Affiliated with professional societies like IEEE and BCS. His work bridges academic research with industry needs, with a focus on practical network solutions.