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Amalia FokaView profile

Assistant Professor

• Artificial Intelligence Applications in Arts
• Computer Science for Creative Practices
• Digital Interaction
• +4 more

Amalia Foka is an Assistant Professor in Computer Science Applications for the Arts at the Department of Fine Arts & Art Sciences , School of Fine Arts , University of Ioannina , Greece. She has held academic positions at the University of Patras (2005-2013), University of Ioannina (2005-2008), and Computer Technology Institute & Press "Diophantus" (2014-2015). Her research bridges Artificial Intelligence with Digital Art , focusing on Generative AI , Social Media Mining , and Human-Computer Interaction within artistic contexts. Education: BEng in Computer Systems Engineering (1998) from the University of Manchester Institute of Science & Technology (UMIST) , UK MSc in Advanced Control (1999) from UMIST PhD in Robotics (2005) from the Department of Computer Science , University of Crete Her artistic research includes projects like Bushwalking (StyleGAN2 landscape generation), Breaking the Silence (NLP analysis of taboo topics), and The Invisible Structures of the Artworld (social media-driven network visualization). She leads the Multimedia Lab at the University of Ioannina, focusing on AI in Creative Processes and Digital Interaction methodologies.

Ioannis AntoniadisView profile

Professor

• Vibration Isolation and Absorption
• Negative Stiffness Systems
• Meta-materials and Periodic Structures
• +7 more

Ioannis Antoniadis is a Professor at the School of Mechanical Engineering , National Technical University of Athens (NTUA), and serves as the Dean and Director of the Dynamics and Acoustics Laboratory (DAL) . He has held academic positions since 1982, rising through the ranks from Scientific Research Assistant to full Professor since 2012. Education: Diploma in Mechanical Engineering (NTUA, 1981), Ph.D. (NTUA, 1987) Research Focus: Vibration isolation, negative stiffness systems, smart materials, seismic protection, and energy conversion Key Projects: 25+ funded research initiatives including KDamper for seismic mitigation, TRANVIC for vehicle vibration control, and 3BUILD for 3D-printing construction systems His work has resulted in 15+ peer-reviewed publications on seismic protection devices and vibration control systems, with applications in bridges, wind turbines, and industrial equipment. He has taught courses in Dynamics and Vibrations , Noise Vibration , and Signal Processing at NTUA, while leading the Mechanical Design and Automatic Control Section .

Chasalevris AthanasiosView profile

Assistant Professor

• Rotordynamics
• Machine Dynamics and Control
• Tribology
• +4 more

Chasalevris Athanasios is an Assistant Professor at the School of Mechanical Engineering, National Technical University of Athens (NTUA), specializing in Rotordynamics and Tribology. His research focuses on nonlinear dynamics of machines, active bearings, and turbomachinery design. He holds a Ph.D. in Rotordynamics from the University of Patras (2009) and a Diploma in Mechanical & Aeronautical Engineering (2004). Research Interests: Machine Dynamics, Turbomachinery, Active Bearings, Bifurcation Analysis, Crack Detection. Teaching: Dynamics of Rotating Machines, Kinematics and Dynamics of Mechanisms, Machine Elements I. Collaborations: KIT (Germany), RPI (USA), MTU Aero Engines (Germany), and Cleveland State University (USA). Awards include the Humboldt Foundation Fellowship (2010), GE's 'Beyond and Ahead' Award (2017), and recognition as a Top 2% Scientist (2023). He has authored over 40 publications and supervised numerous graduate students. Current roles include Academic Advisor at DOATAP and Associate Editor for journals like ASME Journal of Tribology.

George VourosView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +7 more

George Vouros is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. He is the head of the AI Lab (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc in Artificial Intelligence program in collaboration with the Institute of Informatics and Telecommunications at NCSR Demokritos. He completed his BSc in Mathematics (1986) and PhD in Artificial Intelligence (1992) at the University of Athens. His research focuses on Expert Systems, Knowledge Management, Multi-Agent Systems, Reinforcement Learning, and Mobility Analytics. He has served as program chair and committee member for major conferences (AAMAS, AAAI, IJCAI) and editorial roles in journals like Discover Artificial Intelligence (Springer Nature) and Information (MDPI). He has supervised 13 PhD students and currently oversees 4. His work spans EU-funded projects and national initiatives, emphasizing scalable mobility analytics, air traffic management automation, and ontology engineering. He is also President of the Hellenic A.I. Society and actively promotes interdisciplinary applications of AI in healthcare, transportation, and environmental monitoring. Recent research highlights include deep reinforcement learning for tactical air traffic conflict resolution, LLM-integrated ontology engineering, and multimodal generative adversarial imitation learning for flight trajectory modeling. His work bridges theoretical advancements with real-world applications in critical infrastructure systems.

• Power Systems
• Renewable Energy
• Smart Grids
• +7 more

Dr. Aris Dimeas is a Researcher at the National Technical University of Athens in the Department of Electric Power and Industrial Applications . He holds a diploma and PhD in Electrical and Computer Engineering from NTUA and has extensive experience in power systems operations, renewable energy integration, and smart grid technologies. Specialized in AI applications for power systems Developed control software for demand side management Consultant for PPC (2007-2012) Research Focus : Smart grids and digital twin implementations Renewable energy market dynamics Microgrid optimization and control algorithms Collaborations : Active participant in EU research projects, collaborating with HEDNO and other energy grid operators on electronic meters and intelligent network deployments. Teaching : Instructs courses on electric energy systems, power system analysis, and energy management.

Vlahogianni EleniView profile

Professor

• Transportation Planning
• Traffic Engineering
• Machine Learning Applications in Transportation
• +6 more

Vlahogianni Eleni is a Professor and Dean of the Department of Transportation Planning and Engineering at the National Technical University of Athens (NTUA). Her research focuses on integrating machine learning , quantum computing , and reinforcement learning with urban mobility and traffic engineering , addressing challenges in eco-routing , congestion pricing , and autonomous vehicle interactions . Her work emphasizes data-driven approaches to traffic forecasting, including quantum neural networks and theory-aware unsupervised learning . Recent publications explore mixed traffic environments , shared space modeling , and parking occupancy prediction , highlighting her commitment to advancing intelligent transportation systems . Professor Vlahogianni leads the Traffic Engineering Laboratory at NTUA and contributes to policy frameworks for connected and automated transport , wildfire resilience , and dynamic mobility solutions . She is actively involved in the LEVITATE project and advocates for explainable AI in transportation applications.

Heather MillerView profile

Assistant Professor

• Distributed Systems
• Concurrent Programming
• Programming Languages
• +4 more

Heather Miller is a tenure-track Assistant Professor in the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. Her academic journey includes prior roles as an Assistant Clinical Professor at Northeastern University's College of Computer and Information Science and as Executive Director of the Scala Center at EPFL. Miller's research centers on distributed and concurrent computation through the lens of programming languages, with particular emphasis on data-centric systems, big data processing, and edge computing. A defining theme throughout her work is composability - enabling construction of complex distributed systems through composition of components that are correct by construction. Her projects span distributable closures, flexible serialization techniques, futures and promises for asynchronous programming, and deterministic concurrent dataflow models. Her recent publications demonstrate strong trends in applying programming language theory to practical distributed systems challenges, with increasing focus on WebAssembly instrumentation, microservice resilience, and language model pipelines. This evolution reflects her commitment to bridging theoretical foundations with real-world system requirements. Dahl-Nygaard Junior Prize (2023) Mentorship forms a significant component of Miller's academic work. She actively supervises multiple PhD, MS, and undergraduate researchers at CMU, including Christopher Meiklejohn, Matthew Weidner, Huairui Qui, Ria Pradeep, and Luke Dramko. Her service contributions span numerous top-tier conferences including PLDI, SPLASH, ECOOP, and ICSE where she has served as committee member, chair, and keynote speaker. Miller co-founded the Curry On conference to foster industry-academia dialogue, hosting successful editions in Prague, Rome, Barcelona, Amsterdam, and London. She leads research groups focused on distributed programming models and maintains strong industry connections through Two Sigma, where she holds an affiliation. Her work consistently emphasizes practical open-source implementations, primarily within the Scala ecosystem where she's been a core contributor since 2011.

Thomas TscheulinView profile

Assistant Professor

• Pollinator Ecology
• Biodiversity Conservation
• Ecosystem Services
• +6 more

Thomas Tscheulin is an Assistant Professor in the Department of Geography at the University of the Aegean, focusing on pollinator ecology, biodiversity conservation, and the impacts of environmental disturbances like climate change and habitat degradation. He teaches courses in Ecology, Biogeography, and Environmental Threats. University of Freiburg (Biology, Germany) PhD in Population Ecology, Imperial College London (UK) His research examines how agricultural practices, invasive species, and climate change affect pollinator communities (wild bees, Syrphidae) across local to regional scales. He has contributed to understanding pollination networks, fire ecology, and thermal tolerance in bees. Recent publications analyze olive fly dynamics, thermal stress responses, and habitat management through AI-driven monitoring. Collaborative projects include POL-AEGIS and LIFE 4 POLLINATORS. While no specific awards are documented, his work appears in journals like Science of the Total Environment and Nature Communications . He mentors PhD and MSc students in pollination studies and collaborates across Europe on biodiversity research.

• Machine Learning
• Reinforcement Learning
• Decision Making Under Uncertainty
• +6 more

Michail G. Lagoudakis is a Professor at the Department of Electronic and Computer Engineering, Technical University of Crete. His academic journey includes a Ph.D. in Computer Science from Duke University (2003), an M.Sc. from the University of Louisiana, Lafayette (1998), and a B.Sc. from the University of Patras (1995). He has held prestigious positions such as Postdoctoral Fellow at Georgia Institute of Technology's School of Industrial and Systems Engineering. Research Interests : Spanning machine learning (especially reinforcement learning), decision-making under uncertainty, robotics, algorithm selection, computational biology, and human-computer interaction. Publications : Over 15 recent works, including key contributions to robotics (auction-based multi-robot routing), medical diagnosis (urgent endoscopy prediction), and foundational machine learning (Least-Squares Policy Iteration, RCPI algorithm). Scientific Recognition : Recipient of Duke University's Outstanding Dissertation Award (2002-2003) and two Outstanding Teaching Assistant Awards. Professional Affiliations : Member of AAAI, IEEE, and ACM. Collaborations include industrial applications in disassembly planning, dynamic packet routing, and medical imaging. He advocates for computational biology and interdisciplinary research, aiming to integrate tools from mathematics and control theory into machine learning.

Symeon PapavassiliouView profile

Professor

• Computer Networks
• Wireless Networks
• Complex Networks
• +7 more

Symeon Papavassiliou is a Professor at the Department of Communications, Electronics and Information Systems, School of Electrical and Computer Engineering, National Technical University of Athens since 2004. Previously held positions include Associate Professor at New Jersey Institute of Technology (1996-2004) and senior researcher at AT&T Labs (1995-1999). He leads the Network Management and Optimal Design Laboratory and has served in various academic leadership roles, including Deputy Director since 2005. His research focuses on computer networks, wireless systems, and AI-driven network management with over 400 publications. Recognized with multiple best paper awards and NSF Career Award (2003). Education: B.A. Electrical Engineering, NTUA (1990) MSc & PhD Electrical Engineering, Polytechnic University, NY (1992/1996) Key Roles: Founder, New Jersey Center for Wireless Networks & Internet Security Member, EETT (National Telecommunications Commission) 2006-2009 Editorial Board Member, multiple journals Research Interests: Specializes in mobile/distributed systems optimization, wireless networks, complex systems, IoT, and AI applications in network management. Active in 6G architecture research, edge computing orchestration, and secure federated learning frameworks. Publications highlight innovations in network resource allocation, game theory models for positioning systems, and symbiotic computing continuum architectures. Recent work emphasizes resilience in critical infrastructure and smart grid optimization. Awards: Over 10 best paper awards from IEEE conferences, AT&T recognition, and Greek Excellence in Research Grant (2012). Grants: Funded by EU Framework Programs, NSF, ESA, and industry partners like Panasonic and Northrop Grumman. Leads interdisciplinary projects like HEROES (UAV-based emergency response) and NEPHELE (multi-cloud ecosystems). Active in digital twin development for cultural heritage preservation and SDG tracking via knowledge graphs.

Diomidis SpinellisView profile

Professor

• Software Engineering
• Programming Languages
• Computer Science
• +5 more

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.

Mara NikolaidouView profile

Professor

• Distributed Systems
• System Modeling
• Digital Libraries
• +9 more

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.

• Telecommunications
• Signal Processing
• Wireless Communications
• +4 more

George Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on telecommunications, signal processing, and reconfigurable intelligent surfaces (RIS) for next-generation wireless networks. He has contributed to advancements in integrated sensing and communications (ISAC), 6G technologies, and holographic beamforming. His work includes experimental validation of RIS prototypes, optimization of RIS-assisted systems, and analysis of secure communication strategies. Research interests include RIS hardware design, channel modeling, and applications in IoT, UAV communications, and disaster recovery networks. He explores topics like energy-efficient RIS operation, multi-RIS coordination, and RIS-enabled localization. His studies often address challenges at sub-THz frequencies, mutual coupling effects, and hardware impairments. Publications emphasize practical implementations of RIS in both indoor and outdoor settings, with a focus on real-world performance evaluation. Awards and grants are not explicitly mentioned, but his extensive publication record indicates significant academic contributions. His research often integrates machine learning for RIS configuration and reinforcement learning for resource optimization in dynamic networks.

• Renewable Energy Sources
• Distributed Generation
• Power Systems Engineering
• +9 more

Stavros Papathanasiou is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Electrical and Computer Engineering and the Department of Electric Power. His academic career includes a PhD (1997) and Diploma (1991) in Electrical Engineering from NTUA. He specializes in renewable energy systems, power electronics, grid integration of renewables, energy storage, and autonomous power systems. His research focuses on optimizing energy systems with high renewable penetration, microgrids, and grid stability in isolated/islanded grids. Prof. Papathanasiou has led over 100 projects addressing regulatory frameworks for RES and storage, grid codes, interconnections, and energy policy. He collaborates internationally with utilities like TEPCO, KEPCO, and TERNA. His work emphasizes technical solutions for integrating renewables, managing grid stability, and enhancing energy resilience in non-interconnected systems. Key research areas include wind energy systems, photovoltaic technologies, battery storage optimization, and hydrogen storage applications. He has published extensively (>170 papers) in journals like IEEE Transactions on Energy Conversion and Renewable Energy, focusing on technical challenges in renewable integration, power quality, and system dynamics. His lab, the Electric Machines and Power Electronics Laboratory, develops innovative solutions for distributed energy systems. Prof. Papathanasiou advises on national and EU energy policies, contributing to the design of state aid frameworks for renewable projects and grid infrastructure. He has advised governments on island decarbonization strategies and participated in international initiatives like the MERGE project on EV-grid interactions.

• Service-Oriented Architectures
• Cloud Computing
• Data Management
• +7 more

Professor Kyriazis Dimosthenis holds a faculty position at the Department of Digital Systems, University of Piraeus. He earned his diploma in Electrical & Computer Engineering from the National Technical University of Athens (2001) and a cross-disciplinary MSc in Techno-Economic Systems (2004). His academic rank is Professor specializing in service-oriented architectures with a focus on quality of service and workflow management. He has led European projects like BigDataStack, CrowdHEALTH, and CYBELE, addressing challenges in cloud computing, edge computing, and AI-driven solutions for healthcare, finance, and industrial sectors. His research emphasizes resilient service-oriented systems, AI explainability, and human-centric digital transformation. Notable contributions include frameworks for dynamic resource allocation in hybrid cloud/edge environments, AI applications for maritime safety, and data governance solutions for cross-sector integration. He coordinates initiatives such as the Future Internet Architecture Board and Cloud QoS&SLAs, driving advancements in federated data marketplaces and sustainable computing practices. His recent work explores Large Language Model (LLM) applications in financial decision-making, conversational AI for MLOps, and neurosymbolic systems for defect detection. He also investigates XAI methodologies, including VirtualXAI, which leverages GPT-generated personas for explainability assessment. His projects often bridge technical innovation with societal impact, such as the iHELP platform for holistic health records and SmartCHANGE for behavioral change strategies in youth health. Key themes in his publications include bias mitigation in machine learning, dynamic deployment prediction in hybrid cloud settings, and energy-efficient data spaces for mobility. He has contributed to standards like the H2020-funded IRMOS and 5GTANGO, emphasizing interoperability and fault-tolerant architectures. His work frequently intersects with EU policy frameworks, particularly in data governance and ethical AI implementation.