جستجوی استاد راهنمای دانشگاهی

• Integrated Circuits Design
• Wireless Communication Systems
• MEMS Technology
• +۴ مورد دیگر

Prof. Vlassis Spyridon holds a full professor position in the Electronics Laboratory at the University of Patras. He specializes in integrated circuit design, wireless communication systems, and low-power electronics. With a Ph.D. in Electronics from Aristotle University of Thessaloniki (2000), his career spans academic research and industry collaborations. His research interests include battery-less RF tags for IoT, clock/data recovery systems, and high-speed serial interfaces. He has led projects in MEMS-based clock generators, transceiver ASICs, and power management ICs for hearing aids. Education: B.Sc. Physics (1994), Aristotle University M.Sc. Electronics (1996), Aristotle University Ph.D. Electronics (2000), Aristotle University Research focuses on analog integrated circuits, including voltage-controlled oscillators (VCOs), phase interpolators, and time-mode signal processing. He has developed innovative circuits for multi-Gigabit serial links and holds five patents, with over 70 peer-reviewed publications. Recent work includes MPHY-compliant serial interfaces and temperature-compensated oscillators. Industry collaborations include projects with telecom providers and startups, designing ASICs for MEMS headphones, solid-state relays, and wireless transceivers. His articles highlight advancements in low-power CMOS circuits, jitter optimization, and digital-to-PWM conversion. Patents: Wireless transmitter DC offset recalibration (2006) Subthreshold MOS resistor (2014) Tunable subliminal transconductor (2016) Additional Czech-registered innovations Labs/Teams: Active in the Electronics Laboratory at University of Patras, contributing to multi-disciplinary projects in analog and digital circuit design.

• Statistical Quality Control
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

George Nenes is a Professor and Head of the Department of Mechanical Engineering at the University of Western Macedonia (Greece), affiliated with the Polytechnic School. He also serves as a research associate at Aristotle University of Thessaloniki's Mechanical Engineering Department. His academic journey includes a PhD in Statistical Quality Control (2006), MSc in Management of Production Systems (2002), and a Mechanical Engineering Diploma (2000), all from Aristotle University. He has held visiting roles at institutions like the University of Thessaly and Democritus University of Thrace, and taught in international programs like Middlesex University's external programme. Research focuses on Statistical Quality Control and Supply Chain Management, with expertise in adaptive control charts, economic-statistical design methodologies, and inventory optimization. His work spans journals such as European Journal of Operational Research and IIE Transactions. He leads the MORSE Lab (Quantitative Methods of Operations Research and Statistics in Engineering) and teaches courses including Operations Research I/II, Inventory Management, and Simulation. Publications emphasize optimization of quality control systems, remanufacturing lot sizing, and finite-horizon process monitoring. His research integrates Bayesian methods, stochastic modeling, and cost-benefit analysis to address challenges in manufacturing and supply chain systems.

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۴ مورد دیگر

Michail G. Lagoudakis is a Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), Greece. He leads the Intelligent Systems Laboratory (InteLLigence), focusing on machine learning, robotics, and decision-making under uncertainty. His academic journey includes a Ph.D. from Duke University (2003) and prior roles at Georgia Tech and AT&T Labs. Education: Ph.D. in Computer Science, Duke University, 2003 M.Sc. in Computer Science, University of Louisiana, 1998 Diploma in Computer Engineering and Informatics, University of Patras, 1995 Research Interests: His work spans reinforcement learning, multi-agent systems, robotics (team coordination, probabilistic methods), and complex systems. Notable projects include the EURECA-PRO university network, RoboCup Kouretes team, and algorithmic advancements like LSPI. Teaching: Courses include Artificial Intelligence, Machine Learning, and Robotics. His teaching philosophy emphasizes hands-on learning with tools like ROS and NAO robots. Projects & Collaborations: Current projects include aerial-ground robot collaboration, dialogue management systems, and solar energy optimization. Earlier work includes auction-based coordination and DPLL solver enhancements (RLSAT). Lab & Teams: The Intelligent Systems Lab develops autonomous systems, robotic platforms, and learning algorithms. The Kouretes team competes in RoboCup leagues, showcasing adaptive multi-agent strategies.

Dimitrios Nikolopoulosمشاهده پروفایل

استاد

• Radiation Physics
• Environmental Sensors
• Fractal Analysis
• +۲ مورد دیگر

Dimitrios Nikolopoulos is Professor at University of West Attica specializing in radiation physics applications for environmental monitoring and seismic forecasting. Research integrates sensor technology with fractal analysis to detect earthquake precursors in radon emissions and electromagnetic signals. Key domains include: radiation detection methodologies, multifractal time-series analysis of environmental data, and sensor development for medical/industrial applications. Recent work examines radon-thoron correlations with meteorological factors using multifractal detrended cross-correlation analysis. Publications demonstrate consistent innovation in applying DFA/MFDFA techniques to geophysical datasets. Article themes cluster around signal processing approaches for natural hazard prediction and environmental radioactivity patterns. No awards or student supervision details are available.

Konstantinos Makrisمشاهده پروفایل

دانشیار

• Non-Hermitian Photonics
• Condensed Matter Physics
• Nonlinear Optics
• +۶ مورد دیگر

Konstantinos Makris is an Associate Professor at the Department of Physics, University of Crete. His research focuses on non-Hermitian photonics, nonlinear optics, and topological systems, with emphasis on phenomena like PT-symmetry, optical vortices, and thermalization in multimode systems. He holds an ERC Consolidator Grant (2022) and is a 2023 Fellow of OPTICA. Education: Diploma in Physics Engineering, National Technical University of Athens (2002) PhD in Theoretical Photonics, University of Central Florida (2008) Research Interests: Nonlinear optical lattices, non-Hermitian topological phases, nanophotonics, and semiclassical laser physics. His work explores novel phenomena such as skin solitons, tornado waves, and exceptional points in complex systems. Recent Contributions: Recent studies analyze transient amplification in non-Hermitian systems, angular dynamics of Poincaré tornados, and thermalization processes in nonlinear multimode gases. His work bridges condensed matter physics and photonics, with applications in wave control and quantum technologies. Awards & Grants: ERC Consolidator Grant 2022: 'Beyond_Anderson' project 2023 OPTICA Fellowship Professional Activities: Former Marie Curie Fellow (2012–2015) between Princeton University and TU Wien. Active in international collaborations and research networks, including the Crete Center for Quantum Complexity and Nanotechnology (CCQCN).

Angelos Alexopoulosمشاهده پروفایل

استادیار

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +۴ مورد دیگر

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

Sfakianakis Michaelمشاهده پروفایل

استاد

• Applied Statistics
• Business Informatics
• Quantitative Methods in Business Administration
• +۱۲ مورد دیگر

Michael Sfakianakis is Professor of Informatics and Statistics Applications in Business Administration at the Department of Business Organization and Management, University of Piraeus, where he also serves as Dean of the School of Economics, Business and International Studies since 2017. He holds a degree in Mathematics from the University of Athens, a Master’s in Informatics and Operations Research, and a PhD in Applied Quantitative Methods. First Degree: Department of Mathematics, University of Athens Master: Informatics and Operations Research PhD: Applied Quantitative Methods His research interests center on Applied Statistics, Business Informatics, Health Informatics, Tourism Economics, and Public Policy Modeling . His work bridges theoretical statistical methods with practical applications in business, healthcare, and public administration. He has published extensively in journals such as IEEE Transactions on Reliability, Journal of Applied Statistics, and European Journal of Clinical Investigation. The 15 most recent publications reflect a strong interdisciplinary trend, combining quantitative modeling with applications in telecommunications, e-government, health systems, and digital business . Key themes include business process automation, information systems evaluation, corporate social responsibility, and data-driven decision-making in public and private sectors. He has authored seven books on simulation, statistics, and informatics, and teaches in six postgraduate programs across the University of Piraeus and Athens University of Economics and Business. No specific scientific awards are listed in the provided text. Prof. Sfakianakis has supervised numerous students and has been deeply involved in academic and public service. He has led major research and policy initiatives in areas such as tourism satellite accounts, public procurement reform, and national statistical systems. His leadership roles include presidency of multiple university departments and advisory roles in national regulatory bodies. He is actively engaged in public policy, having chaired the Central Supervisory Board of the General Commercial Registry, served on the European Advisory Committee for Economic and Social Affairs, and contributed to OECD projects on measuring societal progress. He is also President of the Tourism Observatory and Deputy President of the National Authority for Healthcare Quality Assurance (ODIPY).

• Stochastic orders
• Probability metrics
• Reliability theory
• +۵ مورد دیگر

Michael Boutsikas is an Associate Professor in the Department of Statistics and Insurance Science at the University of Piraeus. His academic career includes roles such as teaching Statistics II: Hypothesis Testing, Reliability Theory, and Stochastic Finance. He holds a PhD in Applied Probability from the University of Athens (2000), an MSc in Statistics and Operations Research (1998), and a Mathematics Diploma (1995). His research focuses on stochastic orders, probability metrics, reliability theory, and extreme value theory. Key contributions include work on scan statistics, compound Poisson approximation, and risk models. Recent studies address surplus processes in jump diffusion models and exit time analysis under barrier conditions. Teaching spans courses like Multivariate Statistical Analysis and Statistical Software Packages. His work often intersects actuarial science and financial modeling, with applications in insurance mathematics and risk management. Office hours are arranged via email.

Tsantas Nikolasمشاهده پروفایل

استاد

• Manpower Planning
• Optimization
• Markov Chains
• +۴ مورد دیگر

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).

• Numerical Optimization
• Computational Intelligence
• Swarm Intelligence
• +۶ مورد دیگر

Konstantinos Parsopoulos is a Professor at the Department of Computer Science & Engineering, University of Ioannina. He holds a Dipl. Mathematics (1998) and M.Sc. in Mathematics of Computers and Decision Making (2000) from the University of Patras, where he also earned his Ph.D. in Intelligent Optimization (2005). Prior to his current role, he served as a Lecturer at the Department of Mathematics, University of Patras (2008–2009). His academic journey includes positions as Assistant Professor (2009–2016), Associate Professor (2016–2022), and Professor (since 2022) at the University of Ioannina. His research focuses on Numerical Optimization, Computational Intelligence (including Evolutionary Computation and Swarm Intelligence), and Computational Operations Research. These areas encompass the development and analysis of metaheuristics, algorithm portfolios, and optimization techniques for real-world applications such as logistics, financial forecasting, and engineering systems. His work emphasizes parallel computing strategies, reinforcement learning for parameter adaptation, and software tools like SOMO-VCB for stochastic optimization. Parsopoulos has contributed to diverse optimization challenges, including crowdshipping models, neural network-based differential equation solvers, and variance counterbalancing in stochastic systems. His publications span topics from theoretical algorithm design to practical implementations in MATLAB and distributed computing environments. Despite his extensive contributions, no scientific awards are explicitly mentioned in the provided texts. In terms of academic leadership, he has advised numerous students (though no names are listed) and has been involved in grants related to optimization software and algorithmic research. His collaborations extend to cross-disciplinary projects in visual sensor networks, traffic light optimization, and bioinformatics, reflecting the broad applicability of his optimization methodologies.

Andreas Koutselosمشاهده پروفایل

استاد

• Physical Chemistry
• Molecular Dynamics
• Ion Transport in Gases
• +۴ مورد دیگر

Andreas Koutselos is a Professor of Physical Chemistry at the Department of Chemistry, National and Kapodistrian University of Athens. His research focuses on molecular dynamics, ion transport in gases and supercritical fluids, and computational modeling of chemical systems. He has contributed significantly to understanding electrostatic field effects on ions and biomolecules, as well as environmental applications like pollutant adsorption and photocatalysis. His academic career is marked by studies on gas-phase ion behavior, nonequilibrium thermodynamics, and the interplay between theoretical chemistry and experimental observations. Key research areas include peptide dynamics, ion mobility in supercritical fluids, and the development of novel computational methods for chemical systems analysis. Publications span over three decades, reflecting expertise in both foundational physical chemistry and applied environmental chemistry. Collaboration with international teams has advanced methodologies for simulating complex chemical phenomena, including ion dynamics under external fields and reaction mechanisms in catalytic systems.

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

Apostolos Burnetasمشاهده پروفایل

استاد

• Operations Research
• Adaptive Optimization
• Stochastic Modeling
• +۷ مورد دیگر

Apostolos Burnetas is a Professor of Stochastic Operations Research in the Department of Mathematics at the National and Kapodistrian University of Athens (UOA). He holds a Diploma in Electrical Engineering from the National Technical University of Athens (1986), an MBA (1992), and a Ph.D. in Operations Research (1993) from Rutgers University’s Graduate School of Management. Prior to his current position, he served as an Assistant and Associate Professor at Case Western Reserve University (1994–2004). At UOA, he has held roles as Associate Professor (2003–2012) and full Professor (2012–present). He has also served as Vice-Director and Director of the UOA-Ioannina University joint Biostatistics graduate program (2008–2014). His research focuses on Operations Research, Adaptive Optimization, Stochastic Modeling, and their applications in production/service systems. Notable areas include strategic customer behavior in queueing systems, dynamic pricing, inventory management, and supply chain coordination. He has authored over 60 peer-reviewed articles in journals like Management Science and Operations Research , and organized international conferences in stochastic modeling. His teaching spans Operations Research, Probability, and Stochastic Processes, with graduate courses in Linear Models and Queueing Theory. Burnetas has supervised over 30 master’s theses at UOA and 9 doctoral theses (7 at Case Western Reserve, 2 at UOA). His work emphasizes practical applications, such as optimizing service systems and addressing information asymmetries in supply chains.

Konstantinos D. Blekasمشاهده پروفایل

استاد

• Machine Learning
• Autonomous Agents
• Computer Vision
• +۱ مورد دیگر

Konstantinos D. Blekas is a Professor at the Department of Computer Science & Engineering , Polytechnic School, University of Ioannina. His career spans over 25 years with research focusing on Machine Learning , Autonomous Agents , Computer Vision , and Bioengineering . Education: Diploma in Electrical Engineering (1993) and PhD in Electrical & Computer Engineering (1997) from NTUA. Teaching: Offers courses like Probabilities & Statistics (MY304), Machine Learning (MYE002), Data Mining, and Bioinformatics. Research Interests include advanced machine learning techniques, reinforcement learning applications in traffic and robotics, image segmentation, and bioinformatics for medical data analysis. His work bridges theoretical innovation with practical implementations in autonomous systems and biomedical research. Recent Publications highlight trends in multiagent reinforcement learning , neural network optimization , and fMRI data modeling , with applications in robotics, air traffic management, and biomedical imaging. Collaborative projects often integrate spatial constraints and generative models. Scientific Awards Best Paper Award, DASC 2018 Best Student Paper Award, SETN 2018 2nd Winner, AIBIRDS 2014 Competition Professional Impact includes mentoring students, developing educational curricula, and cross-disciplinary research in medical AI. His work is widely cited (>1000 citations) with contributions to journals like Neural Networks , Medical Imaging , and AI Magazine .

• Macroeconomics
• Applied Economics
• Energy Economics
• +۳ مورد دیگر

Panagiotis Pegas is an Assistant Professor at the Department of Regional and Economic Development of the Agricultural University of Athens. He has extensive teaching experience across multiple Greek institutions including the University of Thessaly, University of West Attica, Harokopio University, Hellenic Open University, and the Hellenic Institute of Economics of Education, Research & Innovation. Dr. Pegas holds a Bachelor's and Master's Degree in Applied Economics and Finance from the Department of Economics of the National and Kapodistrian University of Athens, and a PhD in Economics from the Department of Economics and Sustainable Development of Harokopio University. His academic journey includes participation in research programs at the Department of Economics, National and Kapodistrian University of Athens and work experience in the National Accounts Directorate of the Hellenic Statistical Authority. Dr. Pegas's research focuses primarily on Macroeconomics and Applied Economics , with specific interests in Energy Economics, Tourism Economics, Economics of Education, and the Greek economy. His work explores the complex relationships between economic growth, human capital, energy consumption, environmental sustainability, and policy interventions. His research methodology often employs advanced econometric techniques to analyze Greek and Eurozone economic data. Dr. Pegas has published numerous papers in international scientific journals and has presented his research at scientific conferences. He also serves as a reviewer for conference papers and international scientific journals, contributing to the academic community's quality control processes. His publications demonstrate a consistent focus on empirical economic analysis with policy relevance, particularly for the Greek and Eurozone contexts. Macroeconomics and Inflation Dynamics Energy Economics and Renewable Energy Tourism Industry Efficiency Economics of Education and Human Capital R&D and Innovation Economics Environmental Economics and CO2 Emissions Dr. Pegas teaches several courses including Energy Economics, Macroeconomic Theory I, and Macroeconomic Theory II. His teaching approach emphasizes connecting theoretical economic concepts with practical applications, particularly in the Greek economic context. He has supervised various academic projects though specific student names are not mentioned in the available information. Dr. Pegas is actively engaged in the academic community through his ResearchGate, Google Scholar, and Scopus profiles, which document his extensive publication record and research impact. His work contributes significantly to understanding the Greek economy's dynamics, particularly in relation to energy, tourism, education, and macroeconomic policy.