جست‌وجوی استاد و پژوهشگر

Michael A. Zazanisمشاهده پروفایل

استاد

• Applied Probability
• Queueing Systems
• Stochastic Simulation
• +۴ مورد دیگر

Michael A. Zazanis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), where he has been a faculty member since 1997. He previously held positions as Assistant Professor at Northwestern University (1986-1993) and Associate Professor at the University of Massachusetts, Amherst (1993-1997). Dr. Zazanis received his Engineering Diploma from the National Technical University of Athens (1982), followed by an M.Sc. (1983) and Ph.D. (1986) in Applied Mathematics from Harvard University. His academic journey reflects a strong foundation in both engineering and theoretical mathematics. His research focuses on Applied Probability, Queueing Systems, Stochastic Simulation, and applications in Manufacturing and Risk Management. Over his career, his work has evolved from foundational perturbation analysis of queueing systems to contemporary research on age-of-information metrics in communication networks. His contributions span theoretical developments in stochastic processes and practical applications in production control systems and risk analysis. Dr. Zazanis has published extensively in leading journals including Journal of Applied Probability, Stochastic Processes and their Applications, Operations Research, Management Science, and Queueing Systems. His 1988 paper in Management Science on perturbation analysis for the M/G/1 queue is considered seminal in the field. Best Publication Award from the TIMS College on Simulation (1990) He has served in administrative roles including Graduate Program Director (2003-2006) and Head of the Statistics Department (2006-2008) at AUEB. Dr. Zazanis teaches undergraduate courses in Mathematical Methods, Stochastic Processes, and Probabilities, as well as graduate courses in Advanced Stochastic Processes and Operations Research. He is married to Corinna Anastassakou and has one son, Aristomenes.

Komninos Andreasمشاهده پروفایل

استادیار

• Mobile and Pervasive Computing
• Network-centric Computing Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Komninos Andreas is an Assistant Professor in the Computer Engineering & Informatics Department at the University of Patras, specializing in Mobile and Pervasive Computing, Internet of Things, and Human-Computer Interaction. His research spans intelligent environments, context awareness, and virtual reality applications. His research focuses on mobile text entry systems, psycho-cognitive modeling of human behavior, and accessibility for visually impaired users. Key areas include large language model applications for text entry evaluation, pseudo-haptic feedback in VR, and spatial multimodal alerts for industrial environments. He develops simulation tools like RoboType for realistic text entry evaluations and open-source cognitive models. Notable achievements include a Best Paper Award at the ACM Greek SIGCHI Chapter (2023) for VR text entry research. He serves as co-general chair for EICS'26 and holds leadership roles in MobileHCI'24 and UbiComp/ISWC'24 as Workshops & Tutorials Chair and Student Competition Chair respectively. Best Paper Award at ACM Greek SIGCHI Chapter (2023) Co-General Chair for EICS'26 Workshops & Tutorials Chair for MobileHCI'24 Student Competition Chair for UbiComp/ISWC'24 His publications demonstrate strong emphasis on empirical validation of text entry systems, with recent work integrating LLMs for affective phrase generation and psycho-cognitive modeling. He actively promotes open data practices in HCI research and has contributed to digital twin systems for environmental education and maritime industry applications.

George Papadimitriouمشاهده پروفایل

استادیار

• Computer Architecture
• Energy-Efficient Architectures
• Microprocessor Reliability
• +۷ مورد دیگر

George Papadimitriou is an Assistant Professor in the Computer Engineering & Informatics Department at the University of Patras , Greece, hosted within the School of Engineering . His primary affiliation lies with the Computer Hardware and Architecture division, where he leads research and teaching activities focused on dependable, energy-efficient computer architectures. Education: PhD in Computer Science, Department of Informatics & Telecommunications, National and Kapodistrian University of Athens (2019) Post-doctoral researcher, Computer Architecture Lab, National and Kapodistrian University of Athens Research Interests: Dr Papadimitriou’s research lies at the intersection of computer architecture , energy efficiency , and microprocessor reliability . His work specifically targets: Robust and energy-efficient CPU/GPU/accelerator architectures Post-silicon validation techniques for catching elusive hardware bugs Silent data corruption detection and mitigation across the compute stack Characterization of voltage margins and power consumption in modern microprocessors Modeling and simulation of domain-specific accelerators for low-power, dependable operation More recently, his team has been extending these methodologies to RISC-V and neuromorphic photonic accelerators within large European consortia. Scientific Awards & Recognition: Eight HiPEAC Paper Awards for top-tier conference publications (MICRO, HPCA, ISCA) between 2017–2024 IEEE Transactions on Computers 2022 Best Paper Award for the article “Anatomy of On-Chip Memory Hardware Fault Effects Across the Layers” TTTC/ITC Gerald W. Gordon Student Award 2023 Research Funding & Projects: Dr Papadimitriou is principal investigator or key technical contributor in multiple Horizon Europe and industry-backed projects that collectively exceed €50 M in funding. Current leadership roles include: DARE (Digital Autonomy for RISC-V in Europe) NEUROPULS (Neuromorphic Energy-Efficient Secure Accelerators) REBECCA (Reconfigurable Heterogeneous Highly Parallel Processing Platform) Vitamin-V (Virtual Environment & Tool-boxing for Trustworthy RISC-V Cloud Services) Intel, IBM, and Thales bilateral research contracts on energy-efficient and resilient microarchitectures Laboratory & Team: He leads the Energy-Efficient and Dependable Architectures (EEDA) research group at University of Patras, operating laboratory facilities for silicon measurement, FPGA emulation, and full-system simulation (gem5, MARSS, custom tools). The team currently comprises 3 PhD candidates, 2 post-docs, and several MSc thesis students collaborating with European and US partners.

• Systems & Control Theory
• Cyber-Physical Systems
• Robotic Systems
• +۳ مورد دیگر

Dimitrios Dechouniotis is an Assistant Professor at the Department of Electrical and Computer Engineering within the School of Electrical and Computer Engineering at the University of Patras . His career spans roles in academia, research institutions, and public administration. 2004: Diploma in Electrical Engineering (University of Patras) 2006: MSc in Automation Systems (NTUA) 2014: PhD in Electrical and Computer Engineering (University of Patras) His research focuses on Systems & Control Theory , Cyber-Physical Systems , Robotics , Cloud Computing , and 5G Communications . Recent publications highlight work in edge computing , network slicing , and resource orchestration for IoT and robotics applications. He has participated in over 10 national and European research projects related to telecommunications and Industry 4.0. His technical contributions include frameworks for edge-cloud continuum orchestration , blockchain-based slice orchestration , and energy-aware resource allocation , with a strong emphasis on system modeling and control-theoretic approaches. Contact: dechouniotis@uop.gr | Office: Building Z, 2nd Floor

Chalkias Christosمشاهده پروفایل

استاد

• Geographic Information Systems
• Applied Geography
• Spatial Analysis
• +۳ مورد دیگر

Christos Chalkias serves as Professor and Vice-Rector for Research, Development and Lifelong Learning at Harokopio University's Department of Geography. Based in Athens, Greece, his academic office is located in the Library Building (Office 4.5). His educational background includes a Degree in Geology (1991) and PhD in Physical Geography & Geoinformatics (1996), both completed at the National and Kapodistrian University of Athens. His research encompasses diverse geospatial domains with particular emphasis on: Geographic Information Systems & Science – Developing spatial analysis methodologies Applied Geography – Solving real-world environmental and societal challenges Spatial Analysis – Examining geographic patterns and processes Environmental Modeling – Simulating physical phenomena Health Geography – Analyzing spatial health disparities Digital Cartography – Innovating map visualization techniques Recent publications (2023-2025) demonstrate strong focus on geospatial applications in health epidemiology, environmental monitoring, and disaster management. His work frequently employs remote sensing, spatial statistics, and GIS technologies to address Mediterranean-region challenges including cardiovascular disease patterns, light pollution, soil degradation, and earthquake impacts. Distinct research trends include historical geospatial reconstruction, nocturnal earth observation, and community-engaged environmental sensing.

• applied econometrics
• computational finance
• labor economics
• +۳ مورد دیگر

Charalambos (Haris) Angyropoulos is an Assistant Professor in the Department of Economics at the University of Piraeus, Greece, where he joined in 2024. His academic career is complemented by significant private sector experience, bringing practical insights to his teaching and research in quantitative economic methods. Assistant Professor, Department of Economics, University of Piraeus (2024-present) Postdoctoral Researcher, Department of International & European Studies, University of Piraeus Research Fellow, Gnosis Research Center, Illinois Institute of Technology (USA) Dr. Angyropoulos holds a PhD in Economics (2018) and a Master's degree in Applied Statistics (2007), both from the University of Piraeus, as well as a Bachelor's degree in Mathematics (2002) from the National and Kapodistrian University of Athens. His academic training provides a strong foundation for his work in quantitative economic analysis. His research focuses on applied econometrics, computational finance, labor economics, and environmental economics . Specifically, he investigates the impact of the shadow economy on regional competitiveness within the EU and applies machine learning techniques to financial time series analysis. His methodological approach combines traditional econometric methods with innovative computational techniques to address complex economic questions. His recent publications demonstrate a consistent focus on quantitative economic analysis, with particular emphasis on EU economic dynamics, financial markets, and computational methods. The research shows a progression toward increasingly sophisticated analytical techniques, incorporating machine learning approaches alongside traditional econometric methods. His work appears in respected journals including International Journal of Finance and Economics , Applied Economics Letters , and International Advances in Economic Research . Dr. Angyropoulos teaches undergraduate courses including Statistical I, Statistical II, Business Analytics, and International Business and Investments. His private sector experience as CEO of TMEDE Microfinance Solutions and Head of Risk and Investments for the Public Works Engineers and Contractors Fund informs his practical teaching approach, connecting theoretical concepts with real-world applications.

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.

• Design Models for Technologically Supported Learning
• Innovative Interactive Learning Systems
• Educational Games
• +۴ مورد دیگر

Symeon Retalis is a Professor at the Department of Digital Systems, School of Information and Communication Technologies, University of Piraeus, specializing in Design Models for Technologically Supported Learning. With over 15 years of experience, he has established himself as a leading researcher in educational technology and learning systems design. Professor Retalis has authored more than 150 research articles and has served as principal investigator and coordinator for over 30 international research projects funded by the European Union, national grants, and major technology companies including Google. His work focuses on designing innovative interactive learning systems and educational games that enhance children's skill acquisition. His recent research shows a strong emphasis on embodied and multimodal learning approaches, particularly for early childhood education. He has developed several innovative educational tools including CADMOS (a learning process design tool), LAER (a learning data analysis tool for Moodle), WWFEducationalAtlas (a digital game), and ComicStripCreator. His publications demonstrate expertise across educational technology, learning analytics, game-based learning, and special education technologies. Professor Retalis received significant recognition as the "reviewer with great influence" from ACM Computing Reviews in June 2017. His research teams have also earned distinctions in international competitions including Microsoft ImagineCup and Intel Business Challenge. As the scientific director of CoSyLlab (Computer Supported Learning Engineering Lab), he mentors doctoral students and leads research teams in developing cutting-edge educational technologies. His work bridges theoretical research with practical applications through collaborations with educational institutions worldwide. Professor Retalis actively contributes to the academic community as a reviewer for prominent international journals in Learning Technologies and has delivered approximately 30 invited speeches at international conferences globally.

Sidiras Dimitriosمشاهده پروفایل

استاد

• Industrial Processes
• Environmental Technology
• Renewable Energy
• +۳ مورد دیگر

Sidiras Dimitrios is a Professor at the Department of Industrial Management and Technology within the School of Economics, Business and International Studies at the University of Piraeus . His work focuses on experimental and computational simulation of industrial processes, with emphasis on environmental and energy applications. Research Trends & Fields: His recent publications highlight expertise in hydrogen production , adsorbent development , biomass conversion , and pollutant removal . Key sub-fields include torrefaction , dye adsorption , water decontamination , biofuel production , and process optimization within circular economy and sustainable technology frameworks. Academic Context: The Department of Industrial Management and Technology addresses industrial and environmental challenges through education and research, offering programs in technology management , sustainable energy , and industrial ecology .

• Estimation
• Characterization problems
• Environmental Statistics
• +۳ مورد دیگر

Tzavelas Georgios is an Associate Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus. With a distinguished academic career spanning several decades, he has established himself as a prominent researcher in statistical theory and methodology, with particular expertise in estimation theory, characterization problems, environmental statistics, and biostatistics. His educational background includes a Ph.D. in Mathematical Statistics (1994), Master of Arts (1991), both from the University of Maryland at College Park, and a Bachelor's Degree in Mathematics (1984) from the University of Patras. His academic journey began with exceptional promise, as he ranked in the top 5% of students throughout his undergraduate studies. Professor Tzavelas' research focuses on advanced statistical methodologies with applications across multiple domains. His work in estimation theory has produced significant contributions to understanding parameter estimation in complex models, particularly with biased and size-biased samples. His research in environmental statistics has addressed critical issues related to environmental monitoring and assessment, while his biostatistics work has contributed to medical research methodology. Recent research trends show a strong emphasis on weighted distributions, characterization theorems, and the application of statistical methods to biomedical and environmental data. His scholarly output demonstrates consistent productivity with numerous publications in prestigious journals including Journal of Applied Statistics, Biometrical Journal, Metrika, and Journal of Statistical Computation and Simulation. His work often bridges theoretical developments with practical applications, particularly in healthcare and environmental contexts. Exemplary Teaching Award, University of Maryland at College Park (1993) Ranked in the top 5% of students at University of Patras (1981-1983) Throughout his career, Professor Tzavelas has participated in numerous research programs funded by various institutions, addressing diverse topics from healthcare quality assessment to environmental statistics. His collaborative approach is evident in his extensive co-authorship with researchers across different disciplines. He has also contributed significantly as a reviewer for international journals including Applied Statistics, Journal of Statistical Computation and Simulation, and Communication in Statistics. His teaching portfolio spans both undergraduate and graduate levels, with courses in sampling methods, statistical estimation, clinical trials, and biostatistics. His research program continues to advance statistical methodology while addressing real-world problems in healthcare, environmental science, and social research.

Dimitrios Soudrisمشاهده پروفایل

استاد

• Computer Engineering
• Embedded Systems
• Reconfigurable Architectures
• +۵ مورد دیگر

Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.

• Deep Learning
• Multimodal AI
• Explainable AI
• +۶ مورد دیگر

Giorgos Stamou is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), and a Visiting Professor at the MIT Sloan School of Management and MIT Open Learning. He directs the Artificial Intelligence and Machine Learning Systems Laboratory (AILS Lab) and has been a senior researcher at the Institute of Communications and Computer Systems (2000-2008) and an academic visitor at Oxford University (2011-2012). His research spans Deep Learning , Explainable AI , and Knowledge Representation , with a focus on Large Language Models and Multimodal Learning . He has coordinated over 60 funded projects and published 150+ papers. Recent work highlights trends in LLM Evaluation , Gender Bias Mitigation , and Multimodal Music Analysis , reflecting his interdisciplinary approach to AI challenges. Stamou has served on steering committees for W3C working groups (Rule Interchange Format, Web Ontology Language) and contributed to cultural heritage metadata enrichment through the CrowdHeritage projects. He founded NTUA's MSc program in Data Science and Machine Learning (2018-2022) and has organized conference tracks on riddle-solving frameworks and hallucination detection.

• Mathematical Biology
• Biophysics
• Cochlear Mechanics
• +۳ مورد دیگر

Daphne Manoussaki is an Assistant Professor at the University of Crete. Her primary research area is Mathematical Biology, with a focus on biophysics and computational modeling. Education: PhD in Mathematics, University of Washington (1996) Research Interests: She investigates biomechanical processes in cellular and auditory systems, combining mathematical modeling with experimental techniques like atomic force microscopy. Key areas include cochlear mechanics, vascular network formation, and cytoskeletal dynamics. Publication Trends: Her recent work (2015-2002) spans biophysical modeling of cell migration, cochlear geometry effects on hearing, and vascular morphogenesis. Keywords include Cell Biology, Biophysics, and Computational Modeling. Labs & Teams: No explicit lab or team affiliations are mentioned in the provided texts.

• Analytical Chemistry
• Environmental Chemistry
• Chemometrics
• +۴ مورد دیگر

Vasilios Sakkas is an Associate Professor at the Department of Chemistry, University of Ioannina . His expertise lies in Analytical Chemistry with a focus on environmental and chemical analysis, teaching undergraduate and postgraduate courses including Analytical Chemistry I , Environmental Pollution Control Laboratory , and Chemometrics . Research Interests include: Development of advanced analytical techniques (chromatography, spectrometry) Chemometric optimization of analytical methods Environmental pollution control (pesticides, pharmaceuticals, endocrine disruptors) Photocatalytic degradation of pollutants Application of artificial neural networks in chemical analysis His work emphasizes water pollution control and microextraction methods for contaminant detection. Publications demonstrate expertise in GC-MS , LC-MS , and magnetic sorbents for analyzing environmental and food matrices.

Ioannis Skarmoutsosمشاهده پروفایل

استادیار

• Theoretical Physical Chemistry
• Computational Chemistry
• Supercritical Fluids
• +۴ مورد دیگر

Ioannis Skarmoutsos is an Assistant Professor at the Department of Chemistry, University of Ioannina , specializing in Theoretical-Computational Physical Chemistry . His research employs multi-scale molecular simulations and statistical engineering theories to investigate complex fluid systems. Focus on supercritical fluids, ionic liquids, and nanoporous materials Applications in green chemistry, energy storage, and environmental technology Expertise in molecular dynamics and computational modeling Recent publications highlight his work on electrolyte design for batteries, nanoporous material simulations for gas separation, and anomalous properties of water under extreme conditions. His computational approaches address challenges in solvation dynamics, dielectric properties, and structural transitions across diverse thermodynamic states.