جست‌وجوی استاد و پژوهشگر

• Biomechanics of health
• Sports Training Theory & Application
• Stroke rehabilitation
• +۵ مورد دیگر

Giannakou Erasmia is an Assistant Professor at the Biomechanics Division within the Faculty of Physical Education and Sports Sciences at the Democritus University of Thrace . Her expertise lies in Biomechanics of health with a focus on Sports Training Theory & Application . Her research integrates biomechanical analysis, musculoskeletal modeling, and artificial intelligence applications in healthcare. Teaching responsibilities include academic supervision during office hours (Tue 15:00-18:00 & Wed 15:00-17:00). While formal education details are not provided, her work demonstrates advanced training in biomechanics and clinical movement analysis. Research interests span post-stroke gait mechanics , musculoskeletal modeling validation , AI-driven assessment tools , and athletic performance analysis . Her recent publications (2022-2025) emphasize machine learning applications in stroke rehabilitation, gait mechanics quantification, and biomarker development for neurological conditions. No awards or grants are explicitly listed. Her work frequently involves collaborations in stroke recovery mechanisms, wrestling biomechanics, and translational clinical research.

Alex Karagrigoriouمشاهده پروفایل

دانشیار

• Applied Probability
• Statistical Modeling
• Biostatistics
• +۶ مورد دیگر

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 Ioannisمشاهده پروفایل

استادیار

• Machine Learning
• Optimization Methods
• Deep Learning
• +۷ مورد دیگر

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 Tsekourasمشاهده پروفایل

استاد

• Artificial Intelligence
• Cultural Informatics
• Machine Learning
• +۶ مورد دیگر

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.

• Economic Policy
• Competitiveness
• Tourism Economics
• +۵ مورد دیگر

Dr. Galanos George is an Associate Professor at the Department of International & European Studies, University of Piraeus. His research focuses on economic policy, competitiveness, tourism economics, Eurozone dynamics, and shadow economy analysis. He holds a prominent role in advancing interdisciplinary studies combining machine learning with economic analysis. His work addresses critical issues such as migration impacts on pension systems, fiscal sustainability, and policy effectiveness in crisis environments. Research Interests: Economic Policy Design and Implementation Competitiveness Metrics and Drivers Tourism Industry Analysis in Crisis Contexts Demographic Impacts on Public Finance EU Policy Evaluation and Eurozone Structural Challenges Recent Research Trends: His 2021-2024 articles highlight machine learning applications in regional tourism analysis, migration's demographic effects, and causal relationships between debt and financial stability. He consistently bridges macroeconomic theory with practical policy implications. Teaching: Focuses on Economic Policy & Competitiveness modules, integrating real-world case studies from the Eurozone and Eastern Mediterranean regions. Active in shaping curriculum responsive to contemporary economic challenges. Professional Activities: Holds office hours at 703/GL126 and is accessible via galgeorg@unipi.gr. Engaged in interdisciplinary collaboration across departments and international research networks.

• Artificial Intelligence
• Evolutionary Computation
• Multiobjective Optimization
• +۷ مورد دیگر

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.

• Food Safety and Quality
• Honey and Bee Product Quality
• Food Chemistry
• +۳ مورد دیگر

Alyssandrakis Eleftherios is an Assistant Professor at the Hellenic Mediterranean University , affiliated with the Department of Agricultural Development. His roles include teaching courses such as Apiculture Quality, Food Chemistry, and Holistic Pest Management Methods. Office hours are Monday and Tuesday from 10:00-12:00. Education: Bachelor's in Plant Production (Agricultural University of Athens, 1999) Postgraduate Diploma in Plant Protection (Agricultural University of Athens, 2001) PhD in Analysis of Volatile Substances in Honey (Agricultural University of Athens, 2007) Research Interests: Quality and safety of honey and bee products Application of machine/deep learning and IoT in food quality control Microplastics contamination in food systems Innovative pest management techniques in apiculture Professional Affiliations: Member of the OMEA (Department of Agriculture, ELMEPA)

Dimitrios Michailمشاهده پروفایل

دانشیار

• Algorithms
• Graph Algorithms
• Machine Learning
• +۶ مورد دیگر

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 Michalakelisمشاهده پروفایل

استاد

• Technoeconomics
• Cloud Computing
• Internet of Things (IoT)
• +۶ مورد دیگر

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.

Irene Liotouمشاهده پروفایل

استادیار

• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• Quality of Experience (QoE)
• +۳ مورد دیگر

Irene Liotou is an Assistant Professor at the Department of Informatics and Telematics of Harokopio University of Athens. She holds a PhD from the National and Kapodistrian University of Athens (2017), with prior MSc degrees from Imperial College London (2012) and the National and Kapodistrian University of Athens (2011), and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2006). Her research focuses on Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Quality of Experience (QoE), and Cooperative, Connected and Automated Mobility (CCAM). She has extensive industry experience as a Senior Software Engineer at Siemens AG and Siemens Enterprise Communications (2007–2011), followed by postdoctoral research (2017–2021) and roles as Project Manager/Senior Researcher at RICCS (2021–2023), including Deputy EU Project Coordinator duties. Education: PhD: National and Kapodistrian University of Athens (2017) MSc: Imperial College London (Communications and Signal Processing, 2012) MSc: National and Kapodistrian University of Athens (Informatics and Telecommunications, 2011) Diploma: National Technical University of Athens (Electrical and Computer Engineering, 2006) Research interests span cutting-edge networking technologies with a focus on QoE, SDN/NFV implementations, and vehicular communications. Recent publications analyze cache-enabled video streaming, AI-native vehicular systems, and 5G edge-computing applications for automotive systems. She has participated in over 20 European/national projects and COST actions, demonstrating expertise in collaborative EU research coordination. Grants and Projects: Extensive involvement in EU-funded initiatives, including roles as Deputy Coordinator and Senior Researcher in multi-institutional collaborations. Specific projects include the 5G-IANA platform integrating ML and edge resources for automotive applications. Labs/Teams: Affiliated with Harokopio University's research groups focused on advanced networking technologies. Previously part of the Communication Networks Laboratory at NKUA and RICCS teams.

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +۷ مورد دیگر

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.

Sapountzaki Galiniمشاهده پروفایل

استادیار

• Greek Sign Language (GSL) Grammar
• Deaf Education
• Educational Technology for Sign Languages
• +۳ مورد دیگر

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 Maglogiannisمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Informatics
• Image Processing
• +۷ مورد دیگر

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
• +۳ مورد دیگر

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.

• Dependability and security of digital systems
• Reconfigurable computing
• Machine learning and artificial intelligence algorithms
• +۴ مورد دیگر

Ioannis Vogiatzis is a Professor and Chair of the Department of Computer Engineering at the University of West Attica . He serves as Director of the Computer and Embedded Systems, Internet of Things, and Optimization (CESIO) Laboratory. Education: B.A. in Computer Science (1990) MSc in Electronic Automation (1994) Ph.D. in Computer Science (1998) Research interests focus on dependability and security of digital systems , reconfigurable computing , and accelerator design for artificial intelligence. He also explores machine learning and AI algorithms , blockchain systems , Internet of Things (IoT) , and unmanned aerial vehicles (UAVs) . Grants & Projects: He has participated in multiple projects funded by the European Union and the Greek government. Labs & Teams: He leads the CESIO Laboratory, specializing in computer engineering, embedded systems, IoT, optimization, and AI-driven security solutions.