جست‌وجوی استاد و پژوهشگر

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +۷ مورد دیگر

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.

• Service-Oriented Architectures
• Data Management
• Cloud Computing
• +۵ مورد دیگر

Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.

Ruzica Piskacمشاهده پروفایل

استاد

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +۴ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

Eleni Taniمشاهده پروفایل

استادیار

• Molecular Breeding
• Epigenetics
• Crop Stress Tolerance
• +۵ مورد دیگر

Eleni Tani is an Assistant Professor in the Department of Crop Science at the Agricultural University of Athens, affiliated with the Faculty of Crop Science and the Laboratory of Plant Breeding and Biometry. Her research focuses on molecular breeding for stress tolerance in crops, epigenetic mechanisms underlying environmental adaptation, and genetic variability in cultivated species and their wild relatives. Her work emphasizes the application of '-omics' technologies to improve crop resilience against abiotic and biotic stresses, including drought, salinity, and parasitic weeds like broomrape. She collaborates extensively on projects such as BENEFIT-Med and ZeroParasitic , targeting sustainable solutions for agricultural challenges. Dr. Tani has authored over 49 peer-reviewed articles and edited volumes, contributing to journals like Agronomy , Frontiers in Plant Science , and International Journal of Molecular Sciences . Her research trends highlight interdisciplinary approaches, integrating genomics, epigenetics, and AI-driven methodologies for crop improvement. She supervises 4 PhD candidates and has mentored over 10 postgraduate and 30 undergraduate students. Her teaching portfolio includes courses on plant breeding techniques, biotechnology, and experimental design. Office hours are held daily between 12:00 and 15:00 by appointment. Dr. Tani’s laboratory focuses on translational research bridging basic science and agricultural practice, with ongoing collaborations in Mediterranean crop sustainability and orphan legume revitalization.

Sergios Dimitriadisمشاهده پروفایل

استاد

• Digital Marketing
• Consumer Behavior
• Brand Management
• +۳ مورد دیگر

Sergios Dimitriadis serves as Professor in the Department of Marketing and Communication at Athens University of Economics and Business (AUEB), where he has taught since 2000 following ten years of academic and consulting experience in France. His instructional portfolio includes Digital and Omni-channel Marketing, Customer Experience Management, and Digital Content courses. His educational credentials feature a foundational degree from Athens University of Economics and Business and a doctoral degree from France's University of Aix-Marseille. Professor Dimitriadis specializes in digital consumer behavior with emphases on social media brand dynamics, 3D virtual retail environments, and relational value frameworks. His research investigates how technological interfaces shape consumer-brand interactions, particularly examining perceived value constructs in Facebook ecosystems and spatial navigation in immersive online stores. Analysis of his 15 most recent publications reveals consistent focus on relational benefit-cost dynamics across digital contexts, with methodological strengths in experimental design and multivariate analysis. Key thematic trajectories include green brand relationship metrics (2018-2019), social media brand page typologies (2018), and trust-based segmentation in financial technology (2011). No scientific awards were documented in source materials. As scientific director of AUEB's Center for Training and Lifelong Learning educational programs, he bridges academic and professional spheres through European/national research program consultancy and organizational training initiatives, demonstrating commitment to applied knowledge transfer despite absence of specific grant details.

Maria Hatzigianniمشاهده پروفایل

استادیار

• Early Childhood Education
• Educational Technology
• Digital Literacy in Early Years
• +۵ مورد دیگر

Maria Hatzigianni is an Assistant Professor at the University of West Attica with an honorary position at the University of Melbourne. Boasting over 13 years of early childhood teaching experience across Greece and Australia plus 7+ years in academia, she specializes in digital technology integration for children birth to 8 years. Her academic foundation includes: PhD from the University of Melbourne (full scholarship), researching technology's impact on children's self-esteem Masters in ICT in Education from National and Kapodistrian University of Athens (National Scholarship) Bachelor's in Early Childhood Education from National and Kapodistrian University of Athens Hatzigianni's research critically examines technology's intersection with creativity, play, and social-emotional development using mixed methodologies. She actively collaborates with children, teachers, and parents across cultural contexts, with current projects addressing touchscreen usage by infants, STEAM integration, makerspaces, and virtual reality applications. Her work emphasizes teacher professional development in digital competencies, grounded in critical/postmodern ecological frameworks. Publication analysis reveals consistent cross-cultural investigations (Greece, Australia, China) into technology-enhanced learning environments, quality improvement systems in ECEC, and innovative pedagogies like 3D printing. She consistently addresses how digital tools can enhance early learning while navigating implementation challenges across diverse educational settings. Though no specific scientific awards beyond her educational scholarships are documented, Hatzigianni actively contributes to early childhood organizations. Her research collaborations include quality improvement studies with Professor Linda Harrison and makerspace/STEAM projects with Professor Matt Bower. Current research initiatives demonstrate her global impact: Touchscreen beliefs study (birth to three) Australian quality improvement systems STEAM curriculum embedding Makerspace pedagogies with 3D printing VR applications in teacher education Google Suite implementation for preservice teachers These projects highlight her commitment to evidence-based technology integration in early childhood education worldwide.

• Computer Architecture
• Memory Systems
• Multicore Architectures
• +۳ مورد دیگر

Georgios Keramidas is an Assistant Professor in Computer Architecture at the Department of Informatics, Aristotle University of Thessaloniki . He also holds an Adjunct Professor position at the Hellenic Open University and collaborates with institutions like the University of Peloponnese and University of Patras . Research Interests : Computer Architecture, Memory Systems, Multicore/GPU Design, Low-Power Techniques, Fault-Tolerant Systems His work focuses on cache optimization , energy-efficient computing , and security-aware memory design . Key contributions include DVFS frameworks , reuse-distance prediction , and non-deterministic cache mechanisms . Recent article trends highlight innovations in computation-in-memory , IoT platform components , and security/low-power co-design . Patents on image compression and GPU optimization reflect practical applications of his research. Academic Network : Collaborates with institutions including University of Patras , University of Manchester , and TU Dresden

Georgios Siolasمشاهده پروفایل

پژوهشگر

• machine learning
• text mining
• information retrieval
• +۶ مورد دیگر

Georgios Siolas is a Senior Researcher at the Artificial Intelligence and Learning Systems Laboratory (NTUA-ISLab), part of the School of Electrical & Computer Engineering at the National Technical University of Athens (NTUA). He holds a BSc in Electrical & Computer Engineering from NTUA (1998), an MSc in Cognitive Science from Sorbonne Université (1999), and a PhD in Computer Science (2003). His research focuses on machine learning, text mining, information retrieval, and semantic web technologies, with applications in computer vision, recommender systems, and social network analysis. He develops intelligent systems for cultural heritage management, smart tourism platforms, and sign language recognition. Key contributions include innovations in neural architecture search, deep learning for hyperspectral imagery, and plagiarism detection in imbalanced datasets. His work integrates semantic technologies with pervasive computing for smart home environments.

Garofalakis Minosمشاهده پروفایل

استاد

• Database Systems
• Data Streams
• Big Data Analytics
• +۷ مورد دیگر

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

Tsichlas Kostasمشاهده پروفایل

دانشیار

• Algorithms and Data Structures for Main and Secondary Memory
• Algorithms and Data Structures in Distributed Environments
• Computational Geometry
• +۵ مورد دیگر

Tsichlas Kostas serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece, within the Division of Applications and Foundations of Computer Science. His research spans fundamental and applied computing domains with active involvement in the ML@Cloud laboratory. His expertise centers on algorithmic innovation across multiple dimensions: Memory-optimized algorithms for primary/secondary storage systems Distributed environment data structures and computational geometry Physics-informed computing and complex network analysis Specialized domains including alphanumeric and graph algorithms Recent publication trends (2022-2025) demonstrate concentrated research in historical graph management systems, temporal network analysis, and physics-computing intersections. Key contributions include vertex-centric partitioning strategies, temporal community detection frameworks, and machine learning applications for energy data motif discovery. He maintains active laboratory affiliations with the LARGE-SCALE CLOUD DATA MACHINE LEARNING WORKSHOP (ML@Cloud lab), Combinatorial Algorithms Laboratory, and Distributed Systems and Telematics Laboratory, contributing to Greece's computational research infrastructure.

• Business Analytics
• Information Systems Management
• Digital Transformation
• +۷ مورد دیگر

Xenia Mamakou is an academic at the Department of Business Organization and Administration, School of Business Administration, Athens University of Economics and Business (AUEB). She is affiliated with the Business Informatics Laboratory (BILab) and holds a PhD in Information Systems from AUEB. Education: BSc in Business Organization and Administration (AUEB), MSc in Business Information Technology (UMIST, UK), PhD in Information Systems (AUEB) Her research focuses on business analytics, digital transformation, and the organizational/social impacts of technology. She has published over 30 articles on topics like business analytics, ERP systems, e-commerce, and agile methodology. Her recent works explore AI adoption, metaverse opportunities, and agile project management in Greece. She has authored an academic book on Excel-based data analysis and received two teaching excellence awards from AUEB. She serves as scientific director of an eLearning course and participates in three other programs as a lecturer. Her involvement in committees includes Teaching and Learning Support, Gender Equality and Anti-Discrimination, and AUEB Faculty Association (Treasurer since 2021). Scientific Awards: AUEB Teaching Excellence Award (twice) Treasurer, AUEB Faculty Association (2021–present)

Wei Yangمشاهده پروفایل

دانشیار

• Software Testing
• Mobile Security
• Machine Learning for Software Engineering
• +۳ مورد دیگر

Wei Yang is an Associate Professor in the Department of Computer Science at the University of Texas at Dallas, actively contributing to software engineering research through program committee roles at ICSE, FSE, ASE, and ISSTA conferences since 2015. His research focuses on software testing innovation , particularly in mobile security, GUI testing, and AI-driven test automation. Key contributions include frameworks for malware analysis (MalScan), UI exploration (Guardian, Vet), and neural network testing (DeepPerform, EREBA), addressing critical challenges in test oracle generation, flaky tests, and resource-constrained environments. Recent work demonstrates a strategic shift toward LLM and foundation model applications for testing, with 2023-2026 publications exploring vision-language models for GUI testing, parameter ownership in collaborative AI development, and instruction alignment in large language models. This evolution reflects the field's broader trajectory toward AI-integrated quality assurance.

Konstantinos A. Tsintotasمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Computer Vision
• +۹ مورد دیگر

Konstantinos A. Tsintotas is an Assistant Professor at the Department of Information and Electronic Engineering, International Hellenic University. His research focuses on artificial intelligence, robotics, computer vision, and their applications in smart cities, healthcare, and manufacturing. He is actively involved in advancing AI-driven systems for critical infrastructure management, robotic vision, and embedded device technologies. His work spans theoretical advancements and practical implementations, including projects like SLAM algorithms for autonomous navigation, deep learning models for medical diagnosis, and IoT-integrated smart supply chains. Tsintotas also explores ethical implications of AI in human action recognition and contributes to neuromorphic computing through spiking neural networks. Key technical contributions include ReJSHand (real-time hand pose estimation), fall detection systems for embedded devices, and visual place recognition frameworks. His interdisciplinary approach bridges computer science, electrical engineering, and biomedical applications, reflecting a strong commitment to innovation at the hardware-software interface. Notable trends in his publications emphasize AI ethics, multimodal perception for robotics, and low-power embedded solutions. Ongoing work includes advancing digital twin technologies for supply chains and refining bio-inspired neural architectures for robotics applications.

Nikos Tsourveloudisمشاهده پروفایل

استاد

• Field Robotics
• Computational Intelligence
• Production Systems Modeling and Control
• +۳ مورد دیگر

Nikos Tsourveloudis is a Professor of Manufacturing Technology at the School of Production Engineering and Management, Technical University of Crete. He leads the Intelligent Systems & Robotics Laboratory and the Machine Tools Laboratory. His research focuses on autonomous robotics, field robotics, and computational intelligence, with over 100 publications in these areas. He has been honored with awards such as the 3rd EURON/EUROR Robotic Technology Transfer Award (2009) and multiple ADAC Safety Awards (2010, 2011, 2016, 2017). His work integrates robotics, manufacturing systems, and energy efficiency, with applications in electric vehicles and UAV missions. Academic roles include editorial positions in journals and leadership in professional organizations like the Hellenic Association of Industrial Engineers. Education: Diploma in Production and Management Engineering (1990), Technical University of Crete PhD in Production and Management Engineering (1995), Technical University of Crete Research Interests: Autonomous navigation of field robots, computational intelligence, production systems modeling/control, and energy-efficient robotics. His labs develop cutting-edge solutions like the TUCer low-consumption vehicle prototype and advanced path-planning algorithms for UAV swarms. Awards: 3rd EURON/EUROR Robotic Technology Transfer Award (2009) 1st ADAC Safety Award (2010, 2011, 2016, 2017) Advising & Grants: His research has been funded by public/private partnerships. Notable projects include energy management systems for hybrid vehicles and swarm-based UAV missions. Collaborations bridge academia and industry, driving innovations in manufacturing and autonomous systems. Labs & Teams: Leads two major research groups: the Intelligent Systems & Robotics Lab and the Machine Tools Lab, focusing on robotics, control systems, and sustainable manufacturing technologies.

Panos Trahaniasمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Humanoid Robots
• +۱ مورد دیگر

Panos Trahanias is Professor and Vice Chair in the Department of Computer Science at the University of Crete, and heads the Computational Vision and Robotics Laboratory (CVRL) at Foundation for Research and Technology - Hellas (FORTH). His research bridges computational vision, robotics, and embedded systems, with specific focus on humanoid robot navigation, real-time SLAM implementations, and adaptive control systems. Recent investigations include developing climbing quadruped robots, robust grip-lifting mechanisms, and probabilistic contact estimation methods for dynamically challenging terrains. Medical applications feature prominently through neural network approaches for ventilator waveform analysis in critical care settings. Hardware innovation is demonstrated through FPGA-accelerated visual SLAM architectures and reconfigurable embedded systems designed for resource-constrained robotic platforms. His work consistently advances the integration of probabilistic methods, deep learning, and adaptive control in autonomous systems.