جست‌وجوی استاد و پژوهشگر

Dionysia Kolokotsaمشاهده پروفایل

استاد

• Energy saving in buildings
• Indoor environment quality
• Thermal comfort
• +۱۱ مورد دیگر

Dionysia Kolokotsa is a Professor in the Department of Environmental and Energy Management, Sustainable Development and Climate Change at the Technical University of Crete. She served as Dean of the CHEMIPER School from 2021 to 2024 and leads the Laboratory of Built Environment and Energy Management. Education: Ph.D. in Electronic & Computer Engineering (Technical University of Crete, 2001); MSc in Architecture Environmental Design (UCL, 1995); Postgraduate Certificate in Meteorology (National & Kapodistrian University of Athens, 1994); Degree in Physics (National & Kapodistrian University of Athens, 1991) Her research focuses on energy saving in buildings , indoor environment quality , and urban heat island mitigation . She has contributed to understanding thermal comfort in elderly populations , nature-based solutions for climate resilience , and smart grid integration . Notable awards include the Technical University of Crete Excellence Award (2021) and inclusion in the Stanford World's Top 2% Scientists (2020) . She serves as Editor-in-Chief of Solar Energy Advances and Advances in Building Energy Research , and is on the editorial boards of Energy and Buildings and Renewable Energy . Email: dkolokotsa@chenveng.tuc.gr, deniako@gmail.com Contact: Office K2.107, +30 28210 06104, +30 28210 37858 (FAX) Student reception hours: Daily 10:00-14:00

Konstantinos Chorianopoulosمشاهده پروفایل

دانشیار

• Human-Computer Communication
• Multimedia
• Software Technology
• +۳ مورد دیگر

Konstantinos Chorianopoulos is an Associate Professor at Ionian University's Department of Informatics, specializing in Human-Computer Interaction and Multimedia Software Technology. PhD in Administrative Science and Technology, Athens University of Economics and Business MSc in Marketing and Communication Diploma in Electronic and Computer Engineering, Technical University of Crete His research bridges computer science and communication, focusing on: Interactive systems for health informatics Video processing algorithms Educational game mechanics Ubiquitous computing interfaces Social media analytics Mobile communication platforms Recent publications demonstrate expertise in interdisciplinary applications combining data science with user experience design , particularly in epidemiological tracking , serious games , and video interaction systems . He teaches advanced courses in: Human-Computer Communication (THE-400) Information Visualization (HY-645) Mobile and Social Media (HY-665)

• Numerical Analysis
• Computer Science
• Partial Differential Equations
• +۵ مورد دیگر

Kosmas Iordanidis is a Professor of Mathematics actively involved in teaching courses related to computer science and numerical analysis. His academic contributions include instruction in: Introduction to Computer Science Numerical Analysis II Numerical Solution of Partial Differential Equations (Postgraduate Course) Research interests are evident from his teaching focus, spanning computational mathematics, algorithm design, and numerical methods for differential equations. He has developed extensive educational materials, including lecture notes, slides, and exercises in FORTRAN programming , Boolean Algebra , and Arithmetic Logic Units (ALU). Key technical themes include computer arithmetic, logic function simplification with Karnaugh maps, and numerical solutions for scientific computing. Course materials from 2005–2006 highlight structured teaching across 13 educational weeks, covering topics such as: Computer components and information processing systems Combinational circuits and symbolic languages Microprogramming, memory systems, and high-level language comparisons Applications in BCD arithmetic , Newton-Raphson method , and Gaussian integration

Dimitrios Vezerisمشاهده پروفایل

مدرس

• Operations Research
• Renewable Energy Management
• Financial Markets
• +۳ مورد دیگر

Dimitrios Vezeris is a Lecturer in the Department of Civil Engineering at the Polytechnic School of Xanthi, Democritus University of Thrace. He teaches Technical Economics, Operations Research, and Management of Technical Projects and Businesses. His academic background includes a PhD in Finance, an MBA in International Economic and Business Relations, and a Master's in Computer Science from MIT. Educations: Electrical Engineering & Computer Engineering (BSc), PhD in Finance, MIT Master's in CS, MBA in International Business Research interests focus on renewable energy management systems, algorithmic trading strategies, and control systems integration. He has developed an 'Autonomous multi-factor Energy Flows Controller' and pioneered the d-Backtest method for evaluating financial trading systems. His publications emphasize optimization of backtesting techniques for high-frequency trading and dynamic control systems. He coordinates research projects like the 'Smart Energy Flow Controller' (2020-2023) and 'Autonomous Trading Systems' (2017-2020). Advising/Grants: Led EU-funded projects under ESPA programs, including the 'Modernization of中小企业' initiative. As CEO of the IONIKI Group (4 companies), he oversees engineering projects involving renewable energy systems, factory permitting, and construction management.

• Keystroke Dynamics
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Ioannis Tsimperidis is a Researcher at the Department of Informatics, Democritus University of Thrace (DUTH). His career includes roles as a Secondary Education teacher (2006-2021) and industry executive (2003-2004). Since 2021, he has been affiliated with DUTH's DI.PAE unit, focusing on interdisciplinary research. Education: BSc (Electrical & Computer Engineering, Aristotle University of Thessaloniki, 1997); MSc/PhD (Democritus University of Thrace, 2002/2017). Research interests span keystroke dynamics for user profiling, machine learning applications in cybersecurity and education, and deep learning for material defect detection. His work bridges behavioral science and engineering, with notable contributions to age/education-level prediction via typing patterns and marble crack detection via RGB-thermal fusion. Publications reflect a dual focus: technical advancements in keystroke-based user identification and pedagogical innovations in STEM education. His 2023-2024 work highlights cross-disciplinary impact, applying AI to both industrial (marble quality control) and educational challenges (mobile tech barriers). No awards/grants explicitly mentioned. Advising record unavailable. Active in multiple educational structures including IN.EP., D.I.E.K., and K.E.K., demonstrating sustained engagement with diverse educational frameworks.

• 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.

• 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.

Georgios Dimitrakopoulosمشاهده پروفایل

دانشیار

• Wireless Networks
• Intelligent Transport Systems
• Cognitive Networks
• +۳ مورد دیگر

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 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.

• 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.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +۳ مورد دیگر

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.