برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱۶-۳۰ از ۳۰۹ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Papakonstantis Ilias is an Assistant Professor at the National Technical University of Athens (NTUA) , affiliated with the School of Civil Engineering and the Department of Water Resources and Environmental Engineering . His research focuses on environmental fluid mechanics, computational fluid dynamics (CFD), and hydraulic systems modeling.
Mara Nikolaidou is a Professor in the Department of Informatics and Telematics at Harokopio University of Athens since 2007 and has served as the university's Rector since 2016. She represents Greek universities in the European University Association (EUA) for 2023-2024. Her research focuses on distributed systems, system modeling, and responsible computing, with a strong emphasis on IoT, cloud/edge computing, and cyber-physical systems. She leads projects funded by national, EU, and international agencies, exploring topics like autonomous systems, ethical requirements in design, and human-in-the-loop systems. Her educational background includes roles as a computer engineer and IT consultant before academia. She is a member of IEEE (SMC Society and Systems Council) and participates in the Object Management Group (OMG) working groups for SysML and responsible computing. She organizes international conferences in software and systems engineering. Research interests span distributed systems, IoT, and ethical computing. Recent work investigates cost analysis in cloud markets, human-AI collaboration, and smart city technologies. Over 200 publications highlight her contributions to model-based systems engineering, including SysML extensions for cost/QoS analysis and frameworks for autonomous fog nodes. Grants and projects include EU-funded initiatives on smart farming, cloud brokerage, and organizational interoperability. Her lab focuses on autonomous systems and context-aware middleware. She advises on e-Government compliance frameworks and collaborates with industry partners on IoT management platforms.
Nikolaos K. Efremidis serves as Professor in the Department of Mathematics & Applied Mathematics at the University of Crete and holds a Collaborating Researcher position at the Institute of Applied and Computational Mathematics (IACM) of the Foundation for Research & Technology - Hellas (FORTH) in Heraklion, Greece. His dual affiliation bridges theoretical mathematics with experimental photonics research at one of Greece's premier research institutions. His research spans nonlinear optics, photonic lattices, and optical beam engineering with particular focus on vortex beams, atmospheric turbulence mitigation, and statistical mechanics of light. Key contributions include the development of inverted pin beams for turbulence-resistant propagation, thermodynamic modeling of optical pressures in multimoded systems, and topological approaches to photonic thermalization. His work uniquely combines mathematical rigor with practical optical applications. Analysis of his 2021-2025 publications reveals three dominant research thrusts: (1) thermodynamic frameworks for optical systems including Dalton's law analogs for partial pressures, (2) topological models for prethermalization dynamics in photonic lattices, and (3) engineered beam solutions (particularly inverted pin beams) that maintain integrity through atmospheric turbulence. These intersect at the frontier of optical thermodynamics and topological photonics. Scientific recognition includes: Fellow of the Optical Society (OSA) His laboratory at FORTH's IACM specializes in computational modeling of nonlinear optical phenomena and experimental validation of novel beam propagation techniques. Current projects focus on extending turbulence-resistant beam concepts to quantum optical regimes and developing topological protection schemes for free-space optical communication.
استادیار
Costas Smaragdakis is an Assistant Professor in Numerical Analysis and Scientific Computing at the Department of Statistics and Actuarial - Financial Mathematics, University of the Aegean. He is also a Member of the Institute of Applied and Computational Mathematics (IACM) at FORTH. His work bridges numerical methods, machine learning, and applied mathematics, with a focus on solving complex problems in finance and oceanography. Research Interests : Numerical Analysis Scientific Computing Mathematical Modelling Deep Learning Machine Learning Applications to PDEs/PIDEs Recent Research Trends : His articles highlight a strong focus on integrating deep learning with traditional numerical methods for functional minimization, PDE/PIDE solutions, and financial applications. Earlier work emphasizes acoustic signal processing, inverse problems in oceanography, and wavelet-based analysis. Events : Organized a mini-symposium on Machine Learning Methods in Finance (ICCF24, Amsterdam) and attended international workshops in Canada and Greece. Contact : kesmarag@aegean.gr , kesmarag@iacm.forth.gr , Office A5, Vourlioti Building, Karlovassi, Samos, Greece.
Spitas Vasilios is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Mechanical Engineering and the Department of Mechanical Engineering & Automatic Control. His research focuses on gear dynamics, additive manufacturing, computational modeling, thermal systems, and educational pedagogy in engineering. He leads projects involving advanced gear technologies, material science applications, and sustainable energy systems. His work integrates experimental, analytical, and numerical methods to address challenges in mechanical design and industrial applications. Key research areas include optimizing gear performance through bio-inspired surface texturing, developing novel clutch systems, and enhancing 3D printing precision. He explores interdisciplinary topics like energy-efficient Ericsson engines and hyper-damping systems. His contributions to engineering education emphasize active learning strategies and project-based curricula. His recent publications analyze magnetic gear dynamics, additive-manufactured components, and educational innovations. He collaborates on international projects, such as the HEV Ventilator initiative, merging biomedical and mechanical engineering.
پژوهشگر ارشد
Dr. Vivi Tornari is a Research Fellow and head of the Holography laboratory at IESL/FORTH, specializing in optical metrology and cultural heritage preservation. She has held this position since 1996 and has coordinated major EU projects such as E-RIHS and CHARISMA . Her work focuses on developing holographic interferometry techniques for structural diagnosis of artworks, fraud detection, and environmental impact assessment. She holds a PhD in Applied Science from the University of Sunderland and has authored over 70 scientific publications. Education: Postdoctoral Fellow in Optical Holography, Royal College of Art (RCA), London (1990) PhD in Applied Science, University of Sunderland, UK (2009) MSc in Chemical Engineering/Material Science, National Technical University of Athens (1996) Research interests include laser-based structural analysis, speckle interferometry, and the integration of optical methods for heritage preservation. She has pioneered non-invasive diagnostic tools such as the Applied Holography Metrology Laboratory and has advised on EC projects as an evaluator. Funding highlights include: Leadership in EU projects totaling over €20M Coordinator of SYDDARTA (FP7) and CLIMATE FOR CULTURE (FP7) PI for HOLOAUTHENTIC (FP5) and LASERACT (FP6) Her publications emphasize interdisciplinary collaboration, combining optical engineering with conservation science. Key innovations include: Development of DHSPI (Digital Holographic Speckle Pattern Interferometry) Integration of thermography with interferometry for defect analysis Laser ablation studies on polymer substrates Labs/Teams: Lead the Holography Lab at IESL, collaborating with international institutions like the V&A Museum and Imperial College London. Current projects focus on European research infrastructures (E-RIHS) and climate change impacts on heritage materials.
Patrina Paraskevopoulou is a Professor of Inorganic Chemistry at the National and Kapodistrian University of Athens , where she has been affiliated since 2009. Her academic journey at the same institution includes roles as Lecturer (2009), Assistant Professor (2015), Associate Professor (2019), and Full Professor (2023). PhD in Inorganic Chemistry/Catalysis (2003, NKUA) MSc in Inorganic Chemistry/Catalysis (2000, NKUA) BSc in Chemistry (1998, NKUA) Her research spans three core areas: Synthetic Inorganic Chemistry : Transition metal clusters, redox-active ligands, and nanostructured materials Homogeneous Catalysis : Oxidation reactions, atom-transfer processes, and polymerization mechanisms Nanoporous Materials : Metal-doped aerogels for environmental, biomedical, and energy applications Recent publications highlight her work on: Alginate-based aerogels for nuclear waste removal Biopolymer aerogels for sustainable packaging Carbon aerogels for electrochemical energy storage Metathesis polymerization mechanisms Biomedical implant monitoring via ultrasound Scientific Recognition : CAS REGISTRY Innovator (2023) DAAD Research Stay Scholarship (2017-2018) Multiple Greek State Scholarships (academic excellence) She has supervised numerous PhD, MSc, and undergraduate theses while serving as Guest Editor for Polymers and Frontiers in Chemistry . Her laboratory has received funding exceeding €1,000,000 through national and European projects.
Ioannis Stamelos is a Professor of Software Engineering at the School of Informatics, Aristotle University of Thessaloniki (since 2015, research/teaching staff since 1997). He serves as Director of the Postgraduate Master Course in Interactive Hardware & Software Technologies. Major Research Areas: Open Source Software, Software Effort/Quality Estimation, Agile Methods, Enterprise Information Systems Key Projects: Deep Blue/AUTH Research Hub (2018-2022), BlockAdemic (blockchain-based micro-credentials), European Commission Open Source Policy Studies Research Trends from recent publications include: Process mining in library information systems Reusability metrics for software assets Bayesian networks in software project management Impact of design patterns on gaming software defects Technical debt assessment via structural metrics Blockchain applications in supply chain management Scientific Awards: Best Paper Award at IEEE DEST’09 Best Student Paper Award at ICSR 2012 Best Paper Award at QUATIC2012 Education & Leadership: PhD in Computer Science (1988), Diploma in Electrical Engineering (1983). Led numerous EU-funded projects (IST, ERASMUS, FP7) and national initiatives (ΓΓΕΤ, ΕΠΕΑΕΚ). Supervised PhD/MSc students in software reuse, OSS quality, and agile practices.
Professor Vassilios Angelidis is a distinguished academic in the field of Electrical Engineering, currently serving as a Professor at the Department of Electrical and Computer Engineering of Democritus University of Thrace. He joined the university in June 2024, bringing with him extensive international experience from prestigious institutions including the University of Glasgow, University of Sydney, University of New South Wales (UNSW), and the Technical University of Denmark. Professor Angelidis received his educational foundation with a degree in Electrical Engineering from Democritus University of Thrace, followed by a Master of Applied Science from Concordia University in Canada, and a PhD from Curtin University in Western Australia. He further enhanced his expertise with an MBA from Curtin Graduate School of Business. His research interests span Power Electronics, Renewable Energy Sources, Electrical Power Systems, and Autonomous Electricity Networks. Professor Angelidis has made significant contributions to the development of advanced power conversion techniques, grid integration of renewable energy sources, and the application of artificial intelligence in power system analysis and prediction. His work has been instrumental in advancing the field of smart grid technologies and sustainable energy systems. An analysis of his recent publications reveals a strong focus on power electronics applications in renewable energy integration, particularly in photovoltaic systems and electric vehicle charging infrastructure. His research demonstrates expertise in developing advanced algorithms for power system monitoring and control, with particular emphasis on frequency estimation, phase angle calculation, and power quality enhancement in modern grids with high penetration of distributed energy resources. Among his notable scientific achievements, Professor Angelidis has been recognized as an IEEE Fellow for his significant contributions to power electronics and the conversion and integration of renewable energy sources into power grids. He has also received the prestigious Advanced Research Fellowship for young researchers from the Engineering and Natural Sciences Council of the United Kingdom. Throughout his career, Professor Angelidis has secured research funding from various organizations across Australia, the United Kingdom, Denmark, China, India, and Malaysia, as well as industry partners with global reach. He has served on the International Councils of Beijing Jiaotong University and Universiti Tenaga Nasional (UNITEN), and currently holds the position of Vice President-elect of the IEEE Power Electronics Community. At Democritus University of Thrace, Professor Angelidis is affiliated with the Electrical Machines Laboratory within the Energy Systems Sector, where he leads research on Control and Diagnostic Methods of Electrical Machines. His current work focuses on advancing the integration of renewable energy sources into electrical power systems while maintaining grid stability and reliability.
Ioannis Andreadis is a Professor in the Department of Electrical and Computer Engineering at the School of Engineering, Democritus University of Thrace. He has been a faculty member since 1993, following his appointment as a Visiting Professor at the School of Technological Applications of TEI Kavala (1991-1992). His academic journey began with a Diploma in Electrical Engineering from Democritus University of Thrace (1983), followed by an M.Sc. in Electrical Engineering & Electronics (1985) and a Ph.D. in Instrumentation & Analytical Science (1989), both from the University of Manchester. Professor Andreadis's research spans the Design and Implementation of Electronic Systems with particular emphasis on Intelligent Systems and Machine Vision . His work has resulted in over 230 publications in international journals, book chapters, and conference proceedings. He has made significant contributions to image processing, particularly in mathematical morphology, color image processing, and real-time implementation of image processing algorithms. His research has practical applications in seismic signal processing, crowd management systems, and 3D reconstruction technologies. The analysis of his recent publications reveals a strong focus on advanced image processing techniques, with increasing integration of deep learning approaches. His work spans both theoretical foundations (such as entropy estimation and moment calculations) and practical applications (including image stabilization, multi-focus image fusion, and crowd management systems). The interdisciplinary nature of his research connects electrical engineering, computer vision, and signal processing with applications in safety engineering, structural analysis, and robotics. Among his notable achievements are the IET Image Processing Premium Award (2009) , Best Paper Award at PSVIT 2007 , and Best Paper Award at EUREKA 2009 . He was elected Fellow of the Institute of Engineering & Technology (IET) in 2006 and Fellow of the Institute of Measurement & Control (InstMC) in 2021. He has also served as Subject Editor of the IET Electronics Letters and as Guest Editor for special issues of Pattern Recognition journal. Professor Andreadis has supervised 14 PhD theses , 21 Master's theses , and 88 Diploma works , demonstrating his commitment to academic mentoring. His research has been supported by significant grants including the EDUnet project (€280,000), wireless network implementation (€37,000), laboratory infrastructure development (€120,000), school information systems support (€478,000), the RESCUER project (€350,000 as Deputy P.I.), and the EDUSAFE project (Marie Curie Actions). He leads the Electronics Laboratory at Democritus University of Thrace, which has undergone significant infrastructure development through multiple funding sources. His work on the RESCUER project demonstrates collaboration with European partners on emergency risk management systems, while his EDUSAFE involvement shows commitment to advanced AR/VR safety systems development. His research group applies computational intelligence techniques to diverse challenges from seismic analysis to pedestrian evacuation modeling.
Chrysanthos Maraveas is an Assistant Professor at the Department of Technology and Natural Resources Management & Agricultural Engineering in the School of Environment and Agricultural Engineering at the Agricultural University of Athens since 2022. He earned his PhD in Structural Engineering from the University of Manchester and has held postdoctoral research positions at the University of Liège (EU-funded) and the University of Patras (Greek Ministry of Development-funded). Research Interests : Applications of AI and quantum computing in agriculture Sustainable materials and biodegradable polymers from agricultural waste Internet of Things (IoT) for greenhouse optimization Structural durability and corrosion resistance in agricultural environments Plastic waste management in agrifood systems 4D printing for sustainable agricultural plastics Scientific Recognition : Ranked in the top 2% of scientists worldwide by Stanford University (based on citations and h-index) Publications focus on: Cybersecurity in Agriculture 4.0/5.0 Smart sensors and edge computing for resource management Biopolymer innovations and nanotechnology Structural analysis of agricultural systems Sustainable construction materials from agro-waste Fire resistance in steel and composite structures
Anargyros Tsadimas serves as a Teaching Associate and member of the Department of Informatics & Telematics at Harokopio University in Athens, Greece. He joined the university in 2004 as a research associate and currently holds a position in teaching laboratory staff. His academic background includes a BSc in Applied Informatics from the University of Macedonia (2002) and an MSc in Advanced Information Systems from the National and Kapodistrian University of Athens (2005). He earned his PhD in Information Systems from Harokopio University, focusing on model-based design of enterprise systems using SysML. His research interests span modeling and simulation of systems, distributed systems, enterprise information systems engineering, and cyber-physical systems. He has contributed over 25 publications in international conferences and journals, including work on SysML extensions for cost analysis, hybrid simulation platforms, and human-centric design of cyber-physical systems. Tsadimas has participated in EU and Greek government-funded R&D projects, with practical experience in startups as a Software Engineer, DevOps, and Technology Advisor. His recent research emphasizes integrating human factors into system design frameworks, exploring cloud pricing policies, and advancing simulation methodologies for complex systems. Notable contributions include developing declarative approaches for executable SysML models and applying systems engineering to transportation infrastructure challenges. No scientific awards are explicitly mentioned in the provided materials. His professional engagement includes advising on systems design projects and collaborating on interdisciplinary initiatives combining technical and human-centric perspectives.
Panagiotis G. Zervas is an Associate Professor at the Department of Electrical and Computer Engineering, University of Peloponnese (since 2020). His expertise spans audio signal processing, music information retrieval, and natural language processing for knowledge extraction. He teaches courses including Signals & Systems, Digital Signal Processing, and Machine Learning. His research focuses on AI-driven applications in sound analysis, music feature extraction, and multimodal information processing. Education: PhD (2007) in Electrical Engineering from the University of Patras, specializing in Greek prosody modeling for text-to-speech systems. Previous roles include Assistant Professorships at Hellenic Mediterranean University (2015–2020) and Technical Educational Institute of Crete (2008–2015). Research Interests: Natural Language Processing (NLP) for text analysis and large language models (LLMs) Audio signal processing, voice analysis, and embedded systems AI applications in job market analytics and skills frameworks Machine learning for music information retrieval Notable Projects: Principal Investigator in EU projects EU-ALMPO (2025–), Train4Blue (2025–), GROWTH4BLUE (2024–), and MICROIDEA (2024–) World Bank consultant (2023–) for AI-driven employment systems in Greece and Pacific Islands Publications in journals like 'Acoustics' and conferences like WAC 2022 and Forum Acusticum 2023 Office: Building K, Office K2.07 | Contact: pzervas@uop.gr
Professor Nikolaos Pelekis is a faculty member at the University of Piraeus, Greece, holding the position of Professor in the Department of Statistics and Insurance Science within the School of Finance and Statistics. His academic career focuses on Data Science, with a specialized emphasis on Mobility Data Management and Mining, a field he has contributed to for over two decades. He has authored two monographs and over 100 peer-reviewed articles, earning five Best Paper Awards and over 5,000 citations. Research Interests: Mobility Data Management and Mining Big Data Analytics Machine Learning Geographical Information Systems His work spans trajectory analysis, maritime and vessel traffic forecasting, and spatiotemporal data management. Notable projects include leading roles in EU-funded initiatives like GREEN.DAT.AI and EMERALDS, focusing on energy-efficient AI and urban mobility analytics. Awards and Recognition : Five Best Paper Awards, including the Ralf H. Güting Best Research Paper Award (2021) and Best Demo Paper Awards at SIGSPATIAL (2021). He also ranked 1st in the SemEval-2017 Task 4 for sentiment analysis. Professional Contributions : Serves on editorial boards (e.g., ECML PKDD, DMKD) and organizes workshops like BMDA. His teaching spans undergraduate and graduate courses in Data Science, Big Data Management, and Statistical Data Mining. Labs and Teams : Co-founder of the Data Science Lab at the University of Piraeus, collaborating across 4 departments and multiple researchers. Current efforts include maritime digitalization (VesselAI) and real-time trajectory prediction frameworks like ARGO.
استادیار
Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.
