Find Academic Supervisors

Dimitris GizopoulosView profile

Professor

• Computer Architecture
• Computer Systems
• Fault Tolerance
• +5 more

Prof. Dimitris Gizopoulos is a Professor at the Department of Informatics & Telecommunications, University of Athens, leading the Computer Architecture Laboratory. His research focuses on fault tolerance, design validation, performance, and energy efficiency in microprocessors, GPUs, and AI accelerators. He is an IEEE Fellow (2013) and ACM Distinguished Member (2022). His work is supported by Horizon Europe projects like DARE, Neuropuls, and Vitamin-V, alongside industry grants from AMD, Cisco, and Meta. He participates in networks like HiPEAC and Eurolab4HPC and serves on editorial boards of journals including ACM Computing Surveys and IEEE Transactions on Computers . Prof. Gizopoulos teaches Computer Architecture courses at both undergraduate and graduate levels. His research spans cross-layer reliability analysis, voltage scaling effects, and secure hardware design. Notable contributions include frameworks for GPU reliability assessment (GUFI, GPUI-4) and tools like MerLIN for microarchitecture-level analysis. His lab’s work has been funded by the EuroHPC Joint Undertaking and the Greek-China Research Collaboration program. Key Projects: DARE (RISC-V Europe), Neuropuls (neuromorphic accelerators), Vitamin-V (RISC-V cloud environments). Awards: IEEE Fellow (2013), ACM Distinguished Member (2022), IEEE Golden Core (since 2002). Industry Partnerships: AMD, Cisco, Bosch, NVIDIA, Intel, IBM Research. Labs: Leads the Computer Architecture Lab, focusing on fault tolerance and energy-efficient computing. His work emphasizes bridging hardware-software co-design challenges, with publications in top venues like IEEE Transactions on Computers and ACM Computing Surveys . Recent efforts include analyzing silent data corruptions (SDCs) in CPUs and GPUs, and developing validation frameworks for cloud-native architectures.

• Numerical analysis
• Partial differential equations
• Fluid mechanics
• +5 more

Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University. He holds a PhD from the University of California, Santa Barbara (2004), under advisors Xu-Dong Liu and Sanjoy Banerjee. Prior to McGill, he served as a Lecturer and Instructor at MIT's Mathematics Department (2005-2010). His research focuses on numerical analysis, partial differential equations, fluid mechanics, and computational methods for interface problems. He has led research groups involving postdocs, PhD, and undergraduate students, collaborating on projects like the Correction Function Method for PDEs and the Characteristic Mapping Method for advection problems. Education: Ph.D. in Applied Mathematics from UCSB (2004). Affiliations include the Institut des Sciences Mathematiques Steering Committee, Centre de Recherches Mathematiques Applied Math Lab, and CNRS-UMI. Active in teaching courses like Numerical Analysis I/II and Non-Linear Dynamics at McGill, with sabbatical periods noted in recent years. Research interests span numerical methods for PDEs, fluid-structure interaction, and multi-phase flows. His work integrates computational geometry and invariant numerical techniques, addressing challenges in complex fluid dynamics and interface-driven phenomena. Over 40 peer-reviewed publications and continuous contributions to the field of computational applied mathematics. Scientific advising includes over 20 graduate and undergraduate students, with notable alumni now in academia and industry. Collaborations include projects on volcano dynamics, fiber drawing instabilities, and concentrated solar power systems. His methods have advanced numerical simulations for engineering and physical systems involving discontinuous coefficients and sharp interfaces.

Matthias BucherView profile

Professor

• Analog/RF Integrated Circuits Design
• MOSFET Compact Modeling
• Wide-band Device Characterization
• +3 more

Matthias Bucher is a Professor at the Department of Electronics and Computer Engineering, Technical University of Crete. He specializes in analog/RF integrated circuits design, MOSFET compact modeling, and device characterization. His research focuses on nanoscale CMOS, wide-band semiconductor devices, and high-voltage MOSFETs. He leads the Electronics Laboratory and teaches courses such as Electronics II and CMOS Analog IC Design. Education: Ph.D. in Electrical Engineering, Swiss Federal Institute of Technology (EPFL), 1999 M.S. in Electrical Engineering, Swiss Federal Institute of Technology, 1993 Research Interests: Prof. Bucher’s work emphasizes charge-based compact models (e.g., EKV3), RF device modeling, and noise analysis in MOSFETs/JFETs. His contributions include open-source tools for Verilog-A modeling and parameter extraction methodologies for advanced CMOS technologies. Labs/Teams: He directs the Electronics Laboratory , focusing on nanoelectronics and high-reliability circuits. His team collaborates on semiconductor device modeling for aerospace and industrial applications. Grants/Awards: While not explicitly listed, his extensive publication record and leadership in open-source projects indicate sustained recognition in semiconductor research communities.

• Optical Communications
• Optoelectronic Circuits
• Optical Switching
• +7 more

Amalia Miliou is a Professor in the Department of Informatics at Aristotle University of Thessaloniki, where she has served since 1993, progressing through the academic ranks from Lecturer to her current position as Professor since 2022. She holds a PhD in Electrical and Computer Engineering from the University of Florida (1991) with specialization in Optoelectronics, following an MSc in the same field (1988) and a Physics degree from Aristotle University (1985). Her research focuses on optical communications systems, with specific expertise in optoelectronic circuits simulation, optical switching, optical RAM development, converged fiber-wireless technology, 5G networks, and secure optical communications using chaos theory. Over her career, she has supervised numerous graduate students across these research areas, with thesis topics spanning optical memory systems, fiber-wireless integration, chaos-based secure communications, and advanced optical network architectures. Her recent publications (2021-2024) demonstrate a strong focus on next-generation optical networking solutions for 5G/6G applications, including fiber-wireless convergence, optical memory systems for high-speed networks, and innovative approaches to optical signal processing. Her work bridges fundamental photonics research with practical telecommunications applications, particularly in addressing the bandwidth and latency challenges of modern mobile networks. Professor Miliou has served as the Coordinator of the LLP-ERASMUS student exchange program at the Department of Informatics since 1997 and has held various administrative positions including membership in the University Senate and General Assembly. She has led and participated in numerous research projects, most recently focusing on technological improvements for 5G systems through optical-wireless network development (2019-2021), next-generation healthcare applications leveraging 6G networks (2023-2027), and photonic integrated circuits for random access memory (2012-2015).

• Algorithmic Graph Theory
• Parallel Algorithms
• Graph Theory
• +4 more

Stavros Nikolopoulos is a Professor in the Department of Computer Science & Engineering at the University of Ioannina, Greece. He serves as Director of the Algorithms Engineering Lab and holds a PhD in Computer Science (1991, University of Ioannina). His research focuses on Algorithmic Graph Theory, Parallel Algorithms, Malware Detection, and Software Watermarking. He has published extensively in top-tier journals and conferences, including Discrete Applied Mathematics and Theoretical Computer Science. Education: B.Sc. in Mathematics, University of Ioannina (1982) M.Sc. in Computer Science, University of Dundee (1985) Ph.D. in Computer Science, University of Ioannina (1991) Research Interests: Design and Analysis of Algorithms Graph Algorithms (e.g., permutation graphs, cographs) Malware Detection via System-call Group Analysis Graph-based Watermarking Systems Discrete Event Simulation Awards & Recognition: Best Student Paper Award (WEBIST'13) Best Paper Award (CompSysTech'13) Labs & Projects: Director, Algorithms Engineering Lab Principal Investigator in EU-funded projects (e.g., HRAKLITOS, PENED-05)

Ioanna KantzavelouView profile

Associate Professor

• Cybersecurity
• Intrusion Detection
• Game Theoretic Approaches
• +7 more

Dr. Ioanna Kantzavelou is an Associate Professor at the Department of Informatics and Computer Engineering, School of Engineering, University of West Attica. She leads the INSSec Research Group, focusing on Information, Networks, and Systems Security. Her expertise spans Cybersecurity, Game Theoretic approaches in Intrusion Detection, and Critical Infrastructure Protection. She holds a Ph.D. from the University of the Aegean (2011), an M.Sc. from University College Dublin (1994), and a B.Sc. from the Technological Educational Institution of Athens (1991). Education: Ph.D. in Intrusion Detection with Game Theoretic Approaches – University of the Aegean (2011) M.Sc. in Computer Security – University College Dublin (1994) B.Sc. in Informatics – TEI of Athens (1991) Research Interests: Intrusion Detection in IoT/Wireless Sensor Networks (WSN) and Cyber-Physical Systems Cyber Ranges for Education and Research Cybersecurity for Merchant Shipping and Critical Infrastructures Hybrid Threats, Cyberterrorism, and Cyberwarfare Digital Forensics and Blockchain-Based Authentication Systems Her work includes over 30 peer-reviewed publications, three books, and contributions to R&D projects funded by the Greek government, EU, and Irish government. She actively reviews for IEEE, Elsevier, and Springer journals, and is a member of ACM, IEEE Computer Society, and the Greek Computer Society. Grants & Collaborations: EU-funded projects on Cybersecurity and Critical Infrastructure Protection Greek government grants for Cyber Ranges and IoT Security Labs/Teams: Head of the INSSec Research Group, collaborating with industry partners on Cybersecurity solutions for maritime and industrial sectors.

Demetriadis StavrosView profile

Professor

• Learning Technologies
• Educational Technology
• Conversational Agents in Education
• +7 more

Full Professor at the School of Informatics, Aristotle University of Thessaloniki (AUTh), Greece. Previously served as Associate Professor (2015-2020), Assistant Professor (2008-2015), and Lecturer (2002-2008) at the same institution. Also worked as an Informatics Teacher in Greek Secondary Education from 1989-2002. His research focuses on Learning Technologies with emphasis on Conversational Agents in Education, Learning Analytics, Computer-Supported Collaborative Learning, Computational Thinking, Teaching Machine Learning at School, and Massive Open Online Courses (MOOCs). His recent work heavily investigates the application of AI, particularly conversational agents and large language models, in educational contexts. His publications show a strong trend toward AI applications in education, particularly focusing on conversational agents, learning analytics, and automated grading systems. The research spans multiple educational contexts from K-12 to higher education, with particular attention to student self-regulation, collaborative learning, and ethical considerations in AI implementation. 3 Best paper awards at international conferences Interview by Educational Technology Magazine (2013) Cubes Coding project - Winners of Open Education Challenge 2014 Cubes Coding project - Winners of NUMA Competition 2014 Has supervised 5 completed PhD theses, 4 ongoing PhD theses, over 60 Master's theses, and over 120 undergraduate theses. Led the colMOOC project (2018-2020), a €999,000 EU-funded project on integrating conversational agents and Learning Analytics in MOOCs. Also coordinated the T4E project (2020-2022) on Teachers' Fast-paced Distance Training on Tele-education and a MOOC in Greek on Introduction to Programming with Python. Previously served as Director of the Software and Interactive Technologies Laboratory (SWITCH Lab) until 2020, Member of AUTH Educational Policy Committee until 2020, and Chair of the Scientific Supervisory Board of the 2nd Experimental Junior High School in Thessaloniki until 2020.

Mikros EmmanuelView profile

Professor

• NMR Spectroscopy
• Molecular Structure Analysis
• Structure Based Drug Design
• +4 more

Mikros Emmanuel is a Professor in the Section of Pharmaceutical Chemistry at the University of Athens , affiliated with the Faculty of Pharmacy and Department of Pharmaceutical Chemistry . His academic career spans decades, with significant contributions to pharmaceutical chemistry and metabolomics. Education : Ph.D. and M.Sc. in Organic Chemistry (1988, 1984), Université PARIS XI; Diploma in Chemistry (1983), University of Athens. His research focuses on NMR spectroscopy, molecular structure analysis of biologically active compounds, structure-based drug design, and metabolomics. He has pioneered methods integrating NMR with computational tools for drug discovery and biomarker identification. Recent publications highlight his work in NMR-MS heterocovariance for drug screening, metabolomics in diagnostics, virtual screening for kinase inhibitors, and computational approaches in understanding metabolic disorders. Scientific Awards : DAAD Fellowship (Germany, 1996), Marie Curie Fellowship (European, 1994), CIES Fellowship (France, 1993), National Foundation Scholarship (ΙΚΥ Greece, 1985-88). He has taught undergraduate and graduate courses such as Inorganic Pharmaceutical Chemistry, Organic Spectroscopy, and Drug Design, while leading research initiatives in pharmaceutical chemistry and related fields.

Michalis XenosView profile

Professor

• Applied Mathematics
• Fluid Mechanics
• Computational Fluid Dynamics
• +4 more

Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.

• Data Science
• Data Management
• Big Data Analytics
• +3 more

Ioannis Theodoridis is a Professor at the Department of Informatics, University of Piraeus, and Director of the Data Science Laboratory under the School of Information and Communication Technologies. His research focuses on data science, particularly large-scale data management and analysis, with applications in maritime informatics, spatiotemporal data, and mobility patterns. He holds editorial roles at ACM Computing Surveys and has contributed to numerous international conferences and journals. As a project leader in Horizon 2020 initiatives, he has coordinated research on data-driven solutions for maritime safety and urban mobility. He earned his Diploma (1990) and PhD (1996) in Electrical and Computer Engineering from the National Technical University of Athens (NTUA). His work includes developing scalable systems for maritime route forecasting (e.g., GMSA), frameworks for vessel trajectory prediction (e.g., VesselVision), and platforms like i4sea for fisheries monitoring. Contact: ytheod@unipi.gr .

• Artificial Intelligence
• Decision Support Systems
• Knowledge Management
• +3 more

Professor Gregoris Mentzas is a faculty member at the National Technical University of Athens, School of Electrical and Computer Engineering, where he directs the Division of Industrial Electric Devices and Decision Systems. His research focuses on AI-enabled decision systems, knowledge management, and semantic technologies applied to digital enterprises and e-government. With over 350 publications, he ranks among the top 2% most cited scientists globally. Research Interests: Artificial intelligence for decision augmentation, big data analytics in personalized health and smart mobility, semantic web technologies, and industrial internet of things. Current projects investigate trustworthy AI frameworks and hybrid intelligence systems for Industry 5.0. Teaching: Leads courses in Digital Enterprise Management, Strategic Information Systems, and Project Management at undergraduate and postgraduate levels, incorporating industry case studies and experiential learning approaches. Awards & Leadership: Top 2% Highly Cited Scientist (PLOS Biology 2021) 5 Best Paper Awards in international conferences Director of Information Management Unit (1997-present) Board Member of Institute of Communication and Computer Systems (2006-2009) Projects & Funding: Secured over €18 million in research grants through 60+ European projects with industry partners including SAP, IBM, and Siemens. Research outcomes led to three technology spin-offs.

Nikitas KaranikolasView profile

Professor

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +7 more

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

• Electromagnetic Theory
• Holographic and Diffractive Devices
• Optical Interconnects
• +6 more

Elias N. Glytsis is a Professor at the National Technical University of Athens (NTUA), affiliated with the Department of Electromagnetic Applications, Electro-Optics and Electronic Materials. He previously held a Professorship at the Georgia Institute of Technology (USA) from 1988 to 2003. His research focuses on electromagnetic theory, diffractive devices, optical interconnects, quantum heteromaterials, and numerical methods for electromagnetic problems. Glytsis has published over 115 journal articles, 95 conference papers, and holds 17 U.S. patents with an h-index of 31 (as of 2017). Education: Diploma in Electrical Engineering (NTUA, 1982), M.S. and Ph.D. (Georgia Tech, 1984–1987). Professional memberships include IEEE (Senior Member), Optical Society of America (Fellow), and EURATOM-Hellenic Republic. Research highlights include work on holographic gratings, optical fiber gratings, and plasma-edge RF scattering. He has developed optimization methods for photonic devices and contributed to stochastic modeling via polynomial chaos expansions. Glytsis teaches courses on electromagnetic fields, optical science, and integrated optics at both undergraduate and postgraduate levels. Key technical contributions span microwave interconnects, quantum device modeling, and fusion plasma physics. His methodologies address challenges in material variability, waveguide design, and electromagnetic compatibility.

Efthymios N. KaratzasView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Optimal Control
• +5 more

Efthymios N. Karatzas serves as an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Faculty of Sciences, within the Computer Science and Numerical Analysis Section. He maintains an active research profile in computational mathematics with strong institutional affiliations including collaborations with SISSA mathLab and FORTH Institute of Applied and Computational Mathematics. His academic credentials include: PhD in Mathematics, National Technical University of Athens (2015) Master's in Applied Mathematical Sciences – Computational Mathematics, NTUA (2009) Master's in Applied Mathematics, University of Patras (2001) Bachelor's in Mathematics (Computational Mathematics), University of Patras (1999) Dr. Karatzas' research program centers on advanced numerical techniques for partial differential equations , with pioneering work in reduced order modeling , embedded boundary methods , and optimal control systems . His expertise spans computational fluid dynamics, uncertainty quantification, and biomechanical applications, characterized by methodological innovation in handling geometrically complex domains through cut finite element approaches and shifted boundary formulations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on developing efficient numerical frameworks for parametrized PDE systems. His work consistently bridges theoretical rigor with practical implementation, particularly in advancing reduced basis methods for fluid-structure interaction and biological modeling, demonstrating significant contributions to computational mathematics through high-impact journal publications. No major scientific awards are documented in the available sources. Dr. Karatzas demonstrates research leadership through project management roles including Scientific Manager for the ELIDEK project at NTUA (2019-2021) and Project Manager for the European Social Fund HEaD initiative at SISSA (2017-2019). His grant administration experience encompasses coordinating interdisciplinary teams and securing external funding for computational mathematics research. He maintains active collaborations with the SISSA mathLab in Trieste (particularly with Prof. Gianluigi Rozza's group) and the FORTH Institute in Crete, participating in international workshops including the Reduced Order Methods in CFD Summer School (2019) and SIAM UQ conferences. His research network spans computational mathematics groups across Europe with emphasis on advancing numerical methodologies for real-world engineering and biological applications.

• 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.