Find Academic Supervisors

Ruzica PiskacView profile

Professor

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +4 more

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

Giota TouloumiView profile

Professor

• Biostatistics
• Epidemiology
• Infectious Diseases
• +4 more

Giota Touloumi is Professor of Biostatistics and Epidemiology at the Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens (NKUA). She directs the interdepartmental MSc on Biostatistics and Health Data Science and teaches undergraduate courses in Biostatistics (Medical/Dentistry/Biology programs) and postgraduate courses including Generalized Linear Models. Her academic background includes an MSc in Biostatistics and PhD from London School of Hygiene & Tropical Medicine, and a doctoral thesis in Epidemiology/Medical Statistics from NKUA. Her research spans: Development of novel statistical methods for health data analysis Infectious disease epidemiology (HIV, hepatitis B/C) Chronic disease risk factors (cardiovascular focus) Clinical trials for infectious diseases including COVID-19 Public health surveillance and environmental epidemiology She leads multiple national/international studies including AMACS (HIV cohort), EMENO (national health survey), Hprolipsis (viral hepatitis/HIV screening), and Hippocrates Epidemic Detection System. Through INSIGHT network, she coordinates NIH-funded COVID-19 therapeutic trials in Greece. Publication analysis reveals strong focus on: Infectious disease dynamics (HIV/HCV co-infections, COVID-19) Statistical methodology for longitudinal/clustered data National health surveys (cardiovascular risks, diabetes, vaccination attitudes) Global burden of disease collaborations (NCD-RisC) Clinical trial design for pandemic response She coordinates significant research infrastructure as Principal Investigator for: HEPNET.Greece statistical/data center (10+ years) EU/ECDC/NIH-funded multinational studies INSIGHT network clinical trials in Greece and participates in international consortia including ART-CC, HIV-CAUSAL, CASCADE, and NCD-RisC.

Petekidis GeorgeView profile

Professor

• Soft Condensed Matter Physics
• Colloidal Dynamics
• Rheology
• +3 more

George Petekidis is a Professor at the Department of Materials Science and Technology of the University of Crete, affiliated with the Foundation for Research and Technology - Hellas (FORTH). He holds office at the IESL Building and maintains dual email contacts. His research focuses on Soft Condensed Matter Physics , particularly the dynamics of colloidal dispersions, rheology, and aging of soft colloidal glasses and gels. He employs advanced instrumentation combining light scattering techniques with rheological measurements. Key trends in his publications reveal expertise in studying colloidal systems under shear stress, yielding processes, structural rearrangements, and the interplay between interparticle interactions and material behavior. His work spans fundamental investigations of hard-sphere colloids to applied studies of soft colloidal glasses and gels. He is associated with the Department of Materials Science and Technology and has contributed to collaborative research with institutions like the University of Edinburgh and FORTH. His career includes Marie-Curie fellowships and extensive experimental work on colloidal dynamics.

• Distributed Computing
• Grid Computing
• Cloud Computing
• +3 more

Chronopoulos Antonis is a Professor at the University of Patras, specializing in distributed computing, grid and cloud computing, numerical algorithms, high performance computing, and scientific computing. His research spans both theoretical numerical methods and practical applications in distributed systems. His primary research interests focus on Distributed Computing , Grid and Cloud Computing , Numerical Algorithms , High Performance Computing , and Scientific Computing . His work bridges theoretical numerical methods with practical distributed systems implementations, particularly in the areas of load balancing, parallel iterative methods, and computational efficiency. Analysis of his publication record reveals a career trajectory that began with foundational work in numerical linear algebra and iterative methods in the late 1980s and 1990s, then evolved toward distributed and cloud computing applications in the 2000s and 2010s. His recent work shows increasing focus on healthcare applications of AI and machine learning, particularly in medical diagnostics and decision support systems. His research demonstrates consistent contributions to both theoretical numerical methods and practical distributed computing systems, with recent work expanding into healthcare applications of artificial intelligence.

Tsantas NikolasView profile

Professor

• Manpower Planning
• Optimization
• Markov Chains
• +4 more

Nikolas Tsantas is a Professor of Operations Research at the Department of Mathematics, University of Patras. He holds a Ph.D. (1984) and B.Sc. (1981) from Aristotle University of Thessaloniki and the University of Ioannina, respectively. His research focuses on stochastic modeling, Markov chains, optimization, and manpower planning. He has held academic positions at multiple institutions, including Aristotle University of Thessaloniki and Hellenic Open University. Education: Ph.D. in Mathematics, Aristotle University of Thessaloniki (1984) B.Sc. in Mathematics, University of Ioannina (1981) Research Interests: Manpower Planning Stochastic Models and Markov Chains Operations Research and Optimization Computational Markov Chains Teaching: Undergraduate: Mathematical Programming, Operations Research Postgraduate: Optimization and Decision Models, Stochastic Processes Advising and Grants: Supervised over 30 theses, including 24 MSc theses at University of Patras. Conducted research on manpower planning, stochastic systems, and mobility analysis, funded by various projects since 1981. Labs: Director of Probability-Statistics and Operations Research Lab (2008–2012, 2016–2018).

Koutsopoulos IordanisView profile

Professor

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +3 more

Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.

Nikos PantazisView profile

Assistant Professor

• HIV Epidemiology
• Longitudinal Data Analysis
• Survival Analysis
• +3 more

Nikos Pantazis serves as Assistant Professor of Epidemiology and Medical Statistics at the Department of Hygiene, Epidemiology and Medical Statistics within the Medical School of the National and Kapodistrian University of Athens (NKUA). He delivers core instruction in Medical Statistics and Epidemiology across undergraduate programs in Medicine, Dentistry, and Biology, while advancing specialized postgraduate coursework in Generalized Linear Models, Longitudinal Data Analysis, and Meta-analysis at NKUA and the University of Patras. His academic foundation includes a Physics degree from NKUA, followed by Master's and PhD credentials from the university's joint Medical School/Department of Mathematics Biostatistics program. This interdisciplinary background fuels his dual expertise in theoretical statistics and clinical epidemiology. Dr. Pantazis's research centers on HIV epidemiology and advanced longitudinal data methodologies , with particular focus on statistical solutions for non-random missing data scenarios in survival analysis. His work bridges theoretical biostatistics with urgent public health applications, especially in infectious disease surveillance systems. Recent publications reveal consistent engagement with HIV transmission dynamics, cohort study design, and methodological innovations for complex missing data. His output spans clinical domains (HIV, HCV, COVID-19) and statistical theory, demonstrating significant cross-disciplinary impact through high-impact journals like Lancet HIV and Journal of the Royal Statistical Society . He leads as local Principal Investigator for an ECDC initiative enhancing European HIV surveillance data quality and has secured funding from the European Union, NIH-USA, and national agencies. To date, he has mentored over 30 Master's students through thesis supervision and committee roles, shaping the next generation of epidemiological researchers.

• Laser Physics
• Non-Linear Optics
• Optical Materials
• +3 more

Professor Stylianos Kouris holds a position at the Department of Physics, University of Patras, with affiliations to IEXH/FORTH and visiting roles at French universities. His research focuses on Laser Physics, Non-Linear Optics, and nanomaterials like graphene derivatives. He earned his B.A. in Physics from the University of Athens and advanced degrees (DEA/PhD) in Plasma Physics from the University of Toulouse. Key roles include Professor of Laser Physics since 2004, Principal Investigator at IHDL/FORTH, and visiting professorships at Angers, Bourgogne, and Cergy-Pontoise universities. Education: B.A. Physics (University of Athens, 1980), DEA/PhD in Plasma Physics (University of Toulouse, 1984). His research explores nonlinear optical materials, including graphene-based systems, nanocomposites, and plasmonic nanoparticles. Over 150+ publications span topics like optical limiting, femtosecond dynamics, and LIBS for material analysis. Awards include NATO and French Government scholarships. His work extends to environmental diagnostics via LIBS and machine learning-based material classification. Publications emphasize nanomaterials' nonlinear responses, with recent trends focusing on graphene derivatives, functionalized 2D materials, and broadband optical limiting. Collaborations include FORTH, University of Crete, and international teams. Awards: NATO Postdoctoral Fellowship (1988), French Government Scholarship (1981), IKY Scholarship (1976). Advising and grants highlight interdisciplinary research, including EU-funded projects on nanomaterials. His lab (http://nam.wpnet.upatras.gr/) focuses on experimental and theoretical studies in laser physics and nonlinear optics.

Joanna A. Poyago-TheotokyView profile

Professor

• Industrial Organization
• Environmental Economics
• Innovation and Technology
• +9 more

Joanna A. Poyago-Theotoky is a Professor of Economics at the University of Salento in Lecce, Italy. She also holds non-resident and affiliate roles at the Centre for Development Economics and Sustainability (CDES) at Monash University and the Alliance of Excellence for Research and Innovation on Aephoria (AE4RIA) in Athens, Greece. Her research spans Industrial Organization , Environmental Economics , Innovation , and Public Enterprises , with a focus on strategic R&D, market structure, and policy implications. Key themes include: Cooperative and non-cooperative R&D strategies Green innovation and emissions taxation Mixed oligopoly dynamics University-industry technology transfer IPR regimes and global welfare Health economics and behavioral pathways Her 15 most recent publications (2024–2011) address topics like R&D spillovers, privatization in mixed markets, green technology adoption, and the economics of research joint ventures. These works frequently appear in journals such as Economic Modelling , Energy Economics , and Journal of Economic Behavior and Organization . She contributes to editorial roles and has co-authored studies with researchers including Y.Y. Tsai , R. Mazali , and L. Lambertini . Current work-in-progress explores Green Innovation under Uncertainty and Partial Privatization in Mixed Markets .

• Probability and Statistics
• Estimation Theory
• Biostatistics
• +3 more

Georgios Tzavelas is an Associate Professor in Probability and Statistics at the Department of Statistics and Insurance Science, University of Piraeus. His academic career includes roles in teaching and research since 1994, with expertise in parametric distribution theory, biased sampling models, and statistical inference methods. PhD in Mathematical Statistics (University of Maryland, 1994) MA in Mathematical Statistics (University of Maryland, 1991) Bachelor’s in Mathematics (University of Patras, 1984) Research focuses on estimation theory, characterization problems, environmental statistics, and biostatistics. Notable contributions include work on failure rate functions, factor analysis rotation effects, and size-biased sampling methodologies. His publications span over 35 peer-reviewed articles in journals like Metrika, Journal of Statistical Computation and Simulation, and Biometrical Journal. Awards include Excellence in Teaching (1993) and top academic performance recognition during undergraduate studies. Serves as a referee for multiple statistical journals. Teaching responsibilities include courses on sampling methods, biostatistics, actuarial science, and clinical trials. Research interests bridge statistical theory and applications in health and environmental sciences, with active participation in interdisciplinary collaborations.

Dimitrios DimogiannopoulosView profile

Professor

• Automatic Control Systems
• Stochastic System Identification
• Non-linear Control
• +7 more

Dimitrios Dimogiannopoulos is a Professor at the Department of Design and Production Engineering, School of Engineering, University of West Attica since 2010. His expertise focuses on Automatic Control Systems with specialization in Modeling, Simulation and Applications in Algorithmic Diagnosis of System Failures within Industrial Production Systems. His research interests span across multiple domains of control systems and non-destructive testing. He specializes in Stochastic system identification and (non-)linear control , Adaptive control of systems , and the Development of non-contact/contact-free sensors for non-destructive algorithmic detection and diagnosis. His work has significant applications in aeronautics, biomedicine, food technology, and polymer composites , demonstrating the interdisciplinary nature of his research. His recent publications reveal a clear research trajectory focusing on magnetoelastic sensor technologies, structural health monitoring, and non-destructive testing methodologies. The articles demonstrate consistent advancement in contact-less sensing techniques, particularly for composite materials and food quality assessment applications. His work combines theoretical control systems approaches with practical engineering solutions for real-world problems in structural integrity monitoring and quality control. His scientific achievements include: National Patent on non-destructive methodology for evaluating mechanical properties of catches Professor Dimogiannopoulos teaches undergraduate courses including Automated Control Systems I & II and Non-Destructive Testing. At the postgraduate level, he instructs Analysis of Technologically Advanced Applications for the M.A. in Production and Service Automation, and Advanced Control Topics and Surveillance Systems for the M.A. in New Technologies in Shipping & Transportation. He leads the Non-Destructive Testing and Systems Diagnosis Methodologies research laboratory, where his team develops innovative approaches to system health monitoring and fault diagnosis.

• Automatic Control Systems
• Energy Loss Minimisation in Electric Motors
• Fuzzy Logic Control
• +3 more

Eleftheria Sergaki is a permanent Laboratory Teaching Staff member (EDIP) at the Technical University of Crete , School of Electronic and Computer Engineering and the Electrical Power Systems Laboratory . She has served the university continuously since 1985 in roles ranging from Contract Lecturer-Researcher to her current academic post. Education PhD in Electronic & Computer Engineering, Technical University of Crete, 2011 MSc in Electronic & Computer Engineering, Technical University of Crete, 1997 BSc in Physics, Aristotle University of Thessaloniki, 1985 Research Interests Her research lies at the intersection of automatic control, energy efficiency and machine learning . Core themes include the design of fuzzy-logic-based control algorithms that minimise energy losses in electric motors—work that has yielded an individual 2008 patent—the application of machine-learning techniques for predictive modelling of physical processes, and the development of AI-assisted diagnostic algorithms for medical imaging. Across these areas she leverages techniques such as adaptive control, artificial neural networks, neuro-fuzzy systems, discrete wavelet transforms and convolutional neural networks, bridging power engineering, biomedical engineering and computer science. Publication Trends Her 27 peer-reviewed works (2000–2023) exhibit a clear trajectory: early contributions focused on laser instrumentation and physics education shifted after 2006 toward electric-motor efficiency optimisation and advanced motor-control algorithms , and since 2018 have expanded into deep-learning applications in medical imaging , particularly capsule endoscopy and brain-tumour detection. Scientific Awards & Distinctions Teaching Work Award (EDIP) – Senate of the Technical University of Crete, 2018 National distinction – Greek delegation leader, International Physics Teaching Conference, CERN Distinction – Panhellenic Physics Construction and Experiment Competition, National Research Foundation 2 nd eligible contractor – national educational textbook authoring programme Grants, Projects & Service Scientific Project Manager, EPEAEK Project (Greek National Research Council), 1998–2000 Evaluator, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems, Elsevier journals, etc. Co-author, Laser: Working Principles and Applications (Evgenidis Foundation, 2008) Laboratory & Team Affiliations She is a key member of the Electrical Power Systems Laboratory , where she co-supervises student projects and experimental work. Previously she co-founded and worked in the Laboratory of Matter Structure & Laser Physics (TUC) from 1985 to 2013, contributing to its establishment and instrumentation.

• Electrical Power Systems
• Power System Analysis
• Electricity Generation
• +3 more

Vasilios Nikolaidis is an Assistant Professor in the Department of Electric Power at the National Technical University of Greece. His teaching responsibilities include undergraduate and postgraduate courses such as 'Introduction to Electrical Power Systems,' 'Power System Analysis (Asymmetric and Transient States),' and 'Voltage Stability and Non-Linear Dynamics of Electrical Power Systems.' Education Affiliations: National Technical University of Greece (current institution) His research interests focus on electrical power systems, emphasizing power system analysis, stability, protection mechanisms, and control systems. He actively contributes to advancing methodologies for ensuring reliable and efficient operation of modern power grids. No specific awards or grants are mentioned in the provided text. His professional activities are centered around academic instruction and technical specialization in power systems engineering.

• CMOS Analog Integrated Circuits
• Fractional-Order Circuits and Systems
• Analog Signal Processing
• +3 more

Professor Psychalinos Konstantinos holds a prestigious position at the Department of Physics, University of Patras, within the Electronics Laboratory. He has served as Professor since 2014, following roles as Assistant Professor at Aristotle University of Thessaloniki (2000–2004) and Lecturer at the University of Patras (1996–2000). His expertise lies in analog integrated circuits, fractional-order systems, and VLSI design. He is Chair of the Department of Physics and leads the IEEE Greece Section Circuits and Systems/Solid-State Circuits Chapter. His research emphasizes novel filter designs, fractional calculus applications, and oscillator development. Education: Bachelor's in Physics (University of Patras, 1982) PhD in Electronics (University of Patras, 1991) Research Interests: His work focuses on CMOS analog circuits, fractional-order filters, power-law systems, and nonlinear resonance networks. He explores applications in biomedical engineering, mechatronics, and energy-efficient electronics. Publications & Editorial Roles: Editor-in-Chief of the Circuit and Signal Processing Section of the MDPI Electronics Journal, Area Editor of the International Journal of Electronics and Communications (AEU), and member of multiple editorial boards including Nature Scientific Reports. Over 200 peer-reviewed articles highlight his contributions to fractional-order systems and circuit design. Awards: Top 2% global researcher in Electrical & Electronic Engineering (Stanford, 2020–) Academic Leadership: Leads interdisciplinary projects on fractional-order controllers and bio-inspired circuits. Active in FPAA-based prototyping and low-power analog design.

Karambetakis NikolaosView profile

Professor

• Automatic Control Systems
• Mathematical Systems Theory
• Computer Algorithms
• +3 more

Nikolaos Karambetakis is a Professor at the Department of Computer Science and Numerical Analysis, Aristotle University of Thessaloniki (AUTh), specializing in the Mathematical Theory of Automatic Control Systems since 2014. He holds a PhD in Mathematics from AUTh (1993) and a degree in Mathematics (1989). His research focuses on algebraic-polynomial methods for control systems, computer algorithms for control problems, and feedback control systems. He has organized international conferences like the 4th International Workshop on Multidimensional Systems (2005) and CODIT'18 (2018), and served as an editor for journals such as Multidimensional Systems and Signal Processing . He has supervised 4 doctoral and over 50 postgraduate theses, authored/co-authored 60+ journal papers, and contributed to 11 research projects. Administrative roles include President of AUTh’s Mathematics Department (2013–2017) and Director of the Computer Lab (2011–2023). Research interests include Automatic Control Systems , Mathematical Systems Theory , and Symbolic Programming Languages . His work integrates algebraic methods with control theory, emphasizing system equivalence and numerical stability. He has developed algorithms for polynomial matrix manipulations and contributed to descriptor systems analysis. Education: BSc in Mathematics, AUTh (1989) PhD in Mathematics, AUTh (1993) Professional Roles: Professor, AUTh (2014–present) Associate Professor, AUTh (2009–2014) Editorial Board Member, Multiple Journals Awards & Recognition: None explicitly listed, but contributions to control systems and editorial work are notable. Advising: 4 PhD and >50 postgraduate theses supervised. Labs/Teams: Directed AUTh’s Computer Lab (2011–2023).