جست‌وجوی استاد و پژوهشگر

Nikolaos Miridakisمشاهده پروفایل

دانشیار

• Wireless Communication Networks
• Statistical Signal Processing
• Green Communications
• +۶ مورد دیگر

Nikolaos Miridakis is an Associate Professor at the Department of Informatics and Computer Engineering, School of Engineering, University of West Attica. He holds a Ph.D. from the University of Piraeus (2012) and an M.Sc. in Networking and Data Communications from Kingston University, U.K. (2008). Previously, he served as an Adjunct Professor at the University of West Attica (since 2018), Adjunct Lecturer at Piraeus University of Applied Sciences (2007–2018), and Distinguished Associate Researcher at Jinan University's Institute of Physical Internet (2019–2022). Since September 2023, he serves as Deputy Member of the Hellenic Authority for Communication Security and Privacy (ADAE). Research Interests focus on wireless communication networks, statistical signal processing, green communications, massive MIMO, cognitive radio systems, interference mitigation, and multi-carrier communications. His work emphasizes energy-efficient 6G paradigms, reconfigurable intelligent surfaces (RIS), and secure communication protocols. He is a Senior Member of IEEE and has held editorial roles for IEEE Communications Letters (2019–2022) and IEEE Transactions on Communications (2022–2025). He received the Exemplary Reviewer Award from IEEE and Elsevier in 2017. His publications span over 150 articles in top journals/conferences, with a focus on network optimization, spectrum efficiency, and emerging 5G/6G technologies. Professional activities include serving on technical program committees for major telecom conferences and reviewing for prestigious journals like IEEE Transactions on Vehicular Technology . His research integrates theoretical analysis with practical applications in UAV-assisted networks, vehicular cloud computing, and satellite-terrestrial integration.

George Hadjinicolaمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• International Manufacturing
• +۵ مورد دیگر

Dr. George Hadjinicola is a Professor of Operations Management and Chairperson of the Department of Business and Public Administration at the University of Cyprus. He holds a Ph.D. in Business Administration from the University of Southern California (1993), alongside multiple master's degrees in Statistics, Computer Engineering, and a B.S. in Electrical Engineering (Cum Laude, 1988), all from USC. His roles include Co-Director of the MBA Program at the University of Cyprus (2005–2016), Academic Coordinator for MBA programs at the Open University of Cyprus (2014–2016), and Chairman of the Cyprus Cooperative Bank (2017–2019). His research focuses on the intersection of marketing and production, international operations, serial production systems, and product positioning. He has published in journals such as Journal of Operations Management , European Journal of Operational Research , and Production and Operations Management . Teaching experience spans institutions like ALBA Graduate Business School, SKEMA Business School, and universities in multiple countries. He has also delivered executive training to organizations like Carrefour and Siemens. Key research interests include optimizing production systems, cost analysis in manufacturing, and strategic decision-making in supply chains. His work frequently integrates statistical and mathematical modeling, such as Markovian frameworks and self-organizing maps, to address real-world operational challenges.

• Design of Experiments
• Factorial Designs
• Orthogonal Arrays
• +۵ مورد دیگر

Evaggelaras Charalampos is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus. He holds a PhD in Mathematics (Statistics) from the National Technical University of Athens (NTUA), an M.Sc. in Applied Mathematics from NTUA, and a Diploma in Mathematics from the University of Athens. He has been teaching since 2008, offering courses in Applied Statistics, Regression Analysis, and Statistical Packages across multiple institutions including the University of Central Greece and Open University of Greece. Research Interests: Focuses on experimental design methodologies, including Orthogonal Arrays, Fractional Factorial Designs, Supersaturated Designs, and Latin Hypercubes. His work emphasizes Off-line Quality Control, Algebraic Statistics, and efficient model identification using combinatorial methods. Has published 47 peer-reviewed journal articles and 2 book chapters, contributing to statistical design theory and applications. Authored two Greek-language textbooks on regression analysis for academic and practical use. Teaching roles span undergraduate and postgraduate programs in Applied Statistics, including specialized courses on Data Analysis, Experimental Design, and Quality Assurance. Actively involved in curriculum development and statistical package training.

• Economic Analysis
• Public Finance
• Energy and Environmental Management
• +۷ مورد دیگر

Dr. Andreas E. Fousteris is an Assistant Professor in the Department of Business Organization and Administration at the University of Piraeus. He contributes to academic and professional discourse in business management, sustainability, and innovation, with active teaching and research responsibilities. His office is located in the Main Building, and he holds regular office hours on Wednesdays and Thursdays. Education: Bachelor's Degree in Economics, University of Piraeus Master's Degree in Organization and Management of Industrial Systems (specialization in Energy & Environmental Management), National Technical University of Athens & University of Piraeus Executive MBA, University of Piraeus PhD in Organization and Management of Business, University of Piraeus Qualified Chartered Accountant (ACCA) Dr. Fousteris' research focuses on the intersection of economic analysis, environmental sustainability, and technological innovation in business. His work explores corporate governance, public finance, and sustainable development, particularly in the context of Greek enterprises and public institutions. He investigates how digital transformation, including machine learning and digital twins, can enhance decision-making in built environments and public services. His interests extend to entrepreneurship, feasibility studies, and the impact of crises such as the economic downturn and the pandemic on business resilience. His recent publications reveal a strong trend toward interdisciplinary research, combining data analytics with sustainability and public policy. Themes include climate stress testing in finance, urban health planning, digital transformation in industry, and the role of EU instruments in circular economy transitions. His work spans maritime economics, tourism, and environmental management, often with a focus on Greece. Scientific Awards: No awards listed in the provided text. Dr. Fousteris has extensive professional experience in the private sector, having held management roles in finance, consulting, infrastructure, and renewable energy. This background enriches his academic work, particularly in applied fields such as business planning and feasibility studies. While no formal advising or grant information is provided, his collaborative research suggests active engagement in academic teams and projects. He is involved in conferences such as ICBAP and HSSS, contributing to the advancement of business analytics and systemic transformation in contemporary economies.

Maravelakis Petrosمشاهده پروفایل

استاد

• Statistics
• Informatics
• Business Administration
• +۳ مورد دیگر

Maravelakis Petros is a Professor at the Department of Business Organization and Administration , University of Piraeus (since September 2022). He previously held academic roles there as Associate Professor (2018-2022), Assistant Professor (2014-2018), and Lecturer (2012-2014). His research focuses on applications of statistics and informatics in business administration , with expertise in control charts, statistical process monitoring, and data-driven quality management. Education : PhD in Statistics (2003, Athens University of Economics and Business), Postgraduate Diploma in Statistics (1998), Mathematics Degree (1996, National and Kapodistrian University of Athens) His research spans statistical methodologies for healthcare, aviation safety, and business processes, including 44 publications in journals like Statistical Methods in Medical Research and European Journal of Operational Research . He has 1472 citations and serves as Associate Editor for Quality Technology and Quantitative Management . His work emphasizes nonparametric control charts and addressing challenges in zero-inflated data, measurement errors, and real-world applications. He has contributed to teaching courses such as Statistics for Business Administration , Computer Applications , and Data Mining in Business , while collaborating on postgraduate programs in quality management and tourism. His editorial and reviewing roles extend to 46 journals, including Computational Statistics and Data Analysis and International Journal of Production Research .

Athanasios H. Rakitzisمشاهده پروفایل

دانشیار

• Statistical Quality Control
• Statistical Processes
• Statistical Flow Functions
• +۳ مورد دیگر

Athanasios H. Rakitzis is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Piraeus. He has held academic positions at multiple institutions including the University of the Aegean and the University of Cyprus, and conducted postdoctoral research at the University of Nantes, France, as a Marie Curie Fellow. His educational background includes a Bachelor's degree in Mathematics from the National and Kapodistrian University of Athens (1998-2002), a Postgraduate Diploma in Applied Statistics from the University of Piraeus (2002-2004), and a PhD in Statistics from the University of Piraeus (2004-2008) with a thesis on "Statistical Quality Control and Theory of Flows and Formations". Rakitzis specializes in Statistical Quality Control and Processes, with particular expertise in statistical flow and sweep functions. His research has resulted in over 50 publications in international journals, collective volumes, and conference proceedings, with more than 450 citations. He has served as a reviewer for 27 international scientific journals. His recent research focuses on control charts for monitoring various statistical processes including zero-inflated models, BINARCH processes, and exponential distributions. His work spans both theoretical developments in statistical process control and practical applications in fields like healthcare. Marie Curie Fellow (2013-2015) Dr. Rakitzis teaches courses in Reliability Theory, Data Science, Statistics (Estimation), and Statistical Quality Control. He has also contributed to postgraduate programs at the Hellenic Open University. He is actively involved in research collaborations and has contributed to the advancement of statistical process control methodologies through innovative chart designs and monitoring techniques.

Iakovos Venierisمشاهده پروفایل

استاد

• Distributed Systems
• Security and Privacy
• Computer Networks
• +۱۰ مورد دیگر

Iakovos Venieris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with over 350 publications and leadership of the ICBNet research group. He holds a PhD in Electrical and Computer Engineering from NTUA (1990) and a Dipl.-Ing. from the University of Patras (1988). Research Interests : Distributed systems, security & privacy, machine learning in networks, wireless communications, intelligent networks, and communications software architecture. His scientific contributions span federated learning for 6G/IIoT, MIMO-OFDMA optimization, privacy-aware access control, and intelligent broadband networks. Recent works focus on stacked intelligent metasurfaces, beamforming, and constraint-aware edge AI. Awards : Recipient of multiple national and international academic awards, with papers nominated for top conference honors (e.g., EuCAP 2015 Best Paper, GIIS 2018 Best Student Paper). Leadership Roles : Director of ICBNet, contributor to IEEE/ACM journals, and co-editor of foundational books on broadband networks and object-oriented software. Projects : Led national/international initiatives in network management, telehealth platforms (inCASA), and cyber-physical system standardization.

Maria Drakakiمشاهده پروفایل

استاد

• Humanitarian Engineering
• Artificial Intelligence for Disaster Management
• Humanitarian Logistics
• +۴ مورد دیگر

Maria Drakaki is Professor of Humanistic Engineering and Dean of the School of Science and Technology at the International Hellenic University. She also serves as Director of the Institute for Refugee Flows and Crisis Management of the University of Macedonia, and leads multiple postgraduate programs including the MSc in Environmental Management and Sustainability and the MSc in Humanitarian Logistics and Crisis Management. Dr. Drakaki earned her Ph.D. in Physics from the University of Texas at Austin (1992), an M.Sc. in VLSI System Design from the University of Westminster (2004), and a B.A. in Physics from the Aristotle University of Thessaloniki (1986). Her academic career progressed from research positions at the Aristotle University of Thessaloniki to faculty roles at various Greek institutions before her current position. Her research focuses on humanitarian engineering, AI methods for disaster management, humanitarian logistics, decision support systems, and supply chain management. She has pioneered approaches that combine advanced computational techniques with humanitarian applications, particularly in crisis response and management. Her work bridges the gap between traditional engineering disciplines and humanitarian practice. Analysis of her recent publications reveals a strong trend toward applying artificial intelligence, particularly machine learning and natural language processing techniques, to humanitarian challenges. Her research spans disaster response, migration management, supply chain resilience during crises, and community-based partnerships for resilience building. She has increasingly focused on social media analysis for disaster management and the application of transformer models for consequence identification from accident narratives. Fulbright Scholar Best paper award at the International Conference on Information Systems Architecture and Technology (2017) Humanitarian Engineering Lectureship award from UT Austin (2024) Dr. Drakaki supervises 4 PhD candidates and has participated in numerous European research projects including the European Qualifications – Refugees and Recognition 4 (EQUAL), Transforming Graduate Education for Green and Sustainable Future (T-Green), and the Humanitarian Engineering project with UT Austin. She serves on editorial boards including as Associate Editor for the Data Analytics for Social Impact Section of Frontiers in Big Data. She directs the Institute for Refugee Flows and Crisis Management and has established strong research collaborations across Europe.

• Pharmaceutical Technology
• Industrial Pharmacy
• Dosage Form Design
• +۶ مورد دیگر

Dimitrios M. Rekkas serves as Professor of Pharmaceutical Technology and Dean of the Department of Pharmacy at the School of Pharmacy, University of Athens. He directs the Pharmaceutical Technology Laboratory and division while actively participating in international initiatives including the SimInhale Cost Action MP1404 and COST 865-Bioencapsulation as Vice President of its Management Committee. His leadership extends to coordinating Erasmus Socrates programs and serving on the university's international affairs committee. His academic credentials include: B.Pharm. from University of Athens, Greece PhD in Pharmaceutical Technology from University of Athens, Greece MSc in Total Quality Management from Sheffield Hallam University, UK Professor Rekkas specializes in Pharmaceutical Technology with research emphases on Industrial Pharmacy, Dosage Form Design, and Quality by Design (QbD) frameworks. His work integrates Experimental Design and Statistical Process Control to optimize pharmaceutical manufacturing, emphasizing Total Quality Management principles across drug development and production. Current investigations focus on advanced delivery systems including dry powder inhalers for cystic fibrosis and rapidly dissolving oral formulations. Analysis of his 15 most recent publications reveals dominant trends in applying Quality by Design to complex drug delivery challenges. Key research trajectories include particle engineering for inhalation therapies, cyclodextrin-based natural product delivery systems, and digital manufacturing techniques like 3D printing for precision tablet coating. His work consistently bridges statistical methodology with practical pharmaceutical engineering solutions. As laboratory director, he oversees research in pharmaceutical manufacturing science while maintaining active international collaborations including appointments as Invited Professor at universities in Austria and Italy. His advisory role extends to FDA consultation as a Visiting Scientist, and he coordinates an e-learning program on Total Quality Management for the university.

Lisimachos P. Kondiمشاهده پروفایل

استاد

• signal processing
• communications
• image/video compression
• +۸ مورد دیگر

Lisimachos P. Kondi is a Professor at the University of Ioannina in the Department of Computer Science and Engineering, where he has established himself as a leading researcher in signal processing and communications. His academic career spans over two decades with significant contributions to video compression, wireless transmission, and image processing. Education: Diploma in Electrical Engineering, Aristotle University of Thessaloniki, Greece (1994) M.S. in Electrical and Computer Engineering, Northwestern University, USA (1996) Ph.D. in Electrical and Computer Engineering, Northwestern University, USA (1999) Professor Kondi's research focuses on signal processing and communications, with particular emphasis on image/video compression , video transmission over wireless channels , video quality assessment , sparse representations , compressive sensing , super-resolution of video sequences , image watermarking , and shape coding . His work bridges theoretical foundations with practical applications in wireless communications and medical imaging. His recent publications demonstrate a strong trend toward medical image processing and super-resolution techniques, with increasing integration of machine learning approaches. The research spans from theoretical frame construction for compressed sensing to practical applications in wireless visual sensor networks and medical imaging. Teaching: Current Courses (2022-2023): Communication Systems, Multimedia, Video Processing and Compression Previous Courses: Introduction to Programming, Signals and Systems, Topics in Digital Signal Processing, Statistical Signal Processing, Topics in Networking, Topics in Digital Image Processing Professor Kondi has authored the book 4G Wireless Video Communications (Wiley, 2009) and contributed chapters on Color Image Super-Resolution and Video Telephony to major reference works. His research has been published extensively in top-tier journals including IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, and SPIE Journal of Electronic Imaging.

David Petrosyanمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Information
• Quantum Simulations
• +۵ مورد دیگر

Dr. David Petrosyan is a Research Director at the Institute of Electronic Structure and Laser (IESL) of the Foundation for Research and Technology - Hellas (FORTH), Greece. He holds a PhD in Laser Physics from the Armenian National Academy of Sciences and has held research fellowships at institutions including the Max Planck Institute, Weizmann Institute, and Aarhus University. His work focuses on theoretical quantum optics, quantum information, and quantum simulations with cold atoms and Rydberg systems. Education: 1995: Diploma in Physics, Yerevan State University, Armenia 1999: PhD in Laser Physics, Institute for Physical Research, Armenia Research Interests: Quantum non-linear optics, spin lattice models in optical lattices, Rydberg atom interactions, quantum simulations of many-body systems, and quantum information processing using hybrid systems. His contributions include foundational work on quantum gates with Rydberg atoms and microwave-to-optical photon conversion. Awards: 2014: Friedrich W. Bessel Research Award 2013: Dale T. Mortensen Senior Fellowship 2006: Alexander von Humboldt Research Fellowship 2000: Feinberg Postdoctoral Fellowship His research groups have pioneered theoretical frameworks for quantum technologies, including photonic-crystal-based quantum computing and Rydberg-based quantum simulations. He has authored over 80 publications and a textbook on quantum optics.

• Stochastic Analysis and Applications
• Stochastic Differential Equations
• Mathematical Modelling
• +۳ مورد دیگر

Athanasios Yannacopoulos is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB). His research focuses on Stochastic Analysis, Stochastic Differential Equations, and Mathematical Modelling with applications in Insurance, Finance, and Modern Technologies. He holds a Ptychion in Physics from the University of Athens (1989) and a PhD in Statistical Properties of Dynamical Systems from the University of Warwick (1993). Education: University of Athens (Physics, 1989), University of Warwick (PhD in Mathematics, 1993). His teaching includes undergraduate/postgraduate courses on Stochastic Analysis, Stochastic Processes, Probability Theory, and Financial Mathematics. His research spans Stochastic Control Theory, Backward Stochastic Differential Equations (BSDEs), and their applications in economics, finance, and technology, with publications in journals like the Journal of Differential Equations and Journal of Mathematical Economics . He has served in academic roles at institutions including the University of Leeds, University of Birmingham, University of Crete, and the University of the Aegean (2002–2007, Acting Head of Department and Director of Postgraduate Studies). He is a member of the American Mathematical Society and London Mathematical Society, and serves as a referee for international journals and conferences.

Argyris Kalogeratosمشاهده پروفایل

پژوهشگر

• Machine Learning
• Network Science
• Computational Social Systems
• +۲ مورد دیگر

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

• Electromagnetic Scattering
• Chiral Media Analysis
• Numerical Linear Algebra
• +۳ مورد دیگر

Roupa Paraskevi is an External Lecturer at the Department of Mathematics, National and Kapodistrian University of Athens. Her research focuses on advanced topics in applied mathematics, including electromagnetic scattering in chiral media, numerical linear algebra, and statistical modeling. She specializes in inverse problems, matrix function estimation, and high-dimensional data analysis, with applications in engineering and physics. Her work bridges theoretical developments and computational methods, addressing challenges such as far field pattern analysis, layered obstacle scattering, and penalized least squares optimization. Key methodologies include the method of fundamental solutions (MFS), exponential moment matching (e-MoM), and generalized cross-validation techniques. Roupa Paraskevi has published extensively on electromagnetic wave interactions with chiral materials, two-dimensional scattering phenomena, and efficient numerical approaches for matrix computations. Her publications demonstrate expertise in both forward and inverse scattering problems, with contributions to both theoretical frameworks and practical algorithm development. While no specific student advisees or scientific awards are mentioned in the provided text, her research portfolio reflects sustained contributions to computational electromagnetics and numerical analysis. Current research directions include advancing scattering theory for complex media and improving statistical methodologies for high-dimensional problems.

Nikolaos Melliosمشاهده پروفایل

مدرس

• Environmental Engineering
• Water Resources Management
• Ecological Engineering
• +۳ مورد دیگر

Nikolaos Mellios serves as Laboratory Teaching Staff in the Department of Civil Engineering at the University of Thessaly's School of Engineering, where he instructs undergraduate courses including Wastewater Treatment, Environmental Engineering, and Chemistry for Engineers, alongside postgraduate coursework on Water-Energy-Food Nexus governance. His academic foundation spans environmental engineering and computational modeling with direct applications to sustainable resource management. His educational credentials include: Diploma in Environmental Engineering from Technical University of Crete (thesis on wastewater odor control) Master's in Applied Engineering and Systems Simulation from University of Thessaly (Lake Karla modeling) Doctoral Degree in Civil Engineering from University of Thessaly (2020, thesis on freshwater ecosystem informatics) Postdoctoral Research at University of Thessaly (2023-present, climate change impact modeling) Mellios' research integrates environmental informatics and nexus thinking to address critical water challenges through computational modeling. His work demonstrates particular expertise in hydrological simulation , ecosystem dynamics , and machine learning applications for predicting cyanobacteria risks and water demand. He actively develops decision-support frameworks for sustainable agricultural water use and climate-resilient basin management. Analysis of his 15 most recent publications reveals a concentrated focus on integrated Water-Energy-Food-Ecosystems (WEFE) modeling, with increasing emphasis on Bayesian statistics, incremental learning architectures, and climate change adaptation from 2020-2025. His scholarship consistently bridges theoretical modeling with practical watershed management applications across Mediterranean and Northern European contexts. Mellios contributes to major research initiatives including Water4Cities (ICT platform for urban water management) and IMPACT (nexus project development), demonstrating commitment to translating scientific insights into operational sustainability tools for complex environmental systems.