جست‌وجوی استاد و پژوهشگر

Georgios Petropoulosمشاهده پروفایل

استادیار

• Remote Sensing
• Geographic Information Systems
• Digital Cartography
• +۷ مورد دیگر

Georgios Petropoulos is an Assistant Professor of Geoinformatics at the Department of Geography, Harokopio University of Athens, Greece, where he has been teaching since 2020. His expertise spans Earth Observation technology, Geographic Information Systems, and remote sensing applications for environmental monitoring and geohazard assessment. He has previously held academic positions at Aberystwyth University in the UK and has been involved in numerous research projects related to land surface process modeling and remote sensing. His educational background includes: PhD in Earth Observation Modelling from King's College London, University of London (2008) MSc in Remote Sensing from the intercollegiate program between University College London, King's College London, and Imperial College (2002) BSc in Natural Resources Development & Agricultural Engineering from the Agricultural University of Athens (1999) Dr. Petropoulos specializes in the application of Earth Observation technology for understanding land surface interactions and feedback processes. His research focuses on utilizing remote sensing synergistically with land surface process models to derive key state variables of the Earth's energy balance and water budget. He has extensive experience in using advanced remote sensing technology for land use/cover mapping, vegetation properties retrieval, and geohazard assessment including floods, wildfires, and frost events. His work also involves developing open-source software tools for Earth Observation and implementing comprehensive benchmarking approaches for remote sensing algorithms. Dr. Petropoulos has received numerous prestigious awards and fellowships throughout his career, including: Marie Curie Individual Fellowship (2017) Senior Fellow of the UK Higher Education Academy (2015) Marie Curie Reintegration Grant (2013) European Space Agency fellowship (2010) Excellent Associate Editor Award for journal Environmental Modelling & Software (2021) Best conference poster award at the Asian Conference on Remote Sensing (2018) As an educator, Dr. Petropoulos has taught undergraduate and postgraduate courses in cartography, geoinformatics, remote sensing, and GIS at multiple institutions including Harokopio University, Aberystwyth University, and the Agricultural University of Athens. He has secured competitive research funding from various sources including the European Commission, ESA, and national research councils. His editorial work includes serving as an editor for Elsevier's Book series in "Earth Observation" and as an editorial board member for several international journals. Dr. Petropoulos is actively involved in international research collaborations and has contributed to numerous scientific committees and working groups related to Earth Observation standards and validation approaches. His current research continues to advance methodologies for soil moisture retrieval, land surface temperature estimation, and environmental monitoring using multi-sensor remote sensing approaches.

Christos Masourosمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Green Communications
• +۵ مورد دیگر

Christos Masouros is a Professor of Signal Processing and Wireless Communications at University College London (UCL), affiliated with the Institute for Communications and Connected Systems. He holds a Ph.D. from the University of Manchester (2009) and has held research positions at Philips Research Labs, Queen’s University Belfast, and UCL. His expertise spans wireless communications, signal processing, and integrated sensing and communications (ISAC). Key roles include coordinating the EU-funded PAINLESS (2018–2022) and ISLANDS (2024–2028) projects, which focus on energy-autonomous networks and next-generation vehicular networks, respectively. Education: Diploma in Electrical and Computer Engineering, University of Patras (2004) MSc by Research, University of Manchester (2006) PhD in Electrical and Electronic Engineering, University of Manchester (2009) Research Interests: Green Communications Large-Scale Antenna Systems ISAC (Integrated Sensing and Communications) Interference Mitigation in MIMO and Multicarrier Systems Awards: 2024 IEEE SPS Best Paper Award 2023 IEEE ComSoc Stephen O. Rice Prize Fellow of IEEE, AIIA, and AAIA Leadership Roles: Vice-Chair, IEEE Emerging Technologies Initiative on ISAC Chair, IEEE SPS ISAC Technical Working Group Editorial roles in IEEE Transactions on Wireless Communications, IEEE Open Journal of the Communications Society, and others Labs/Teams: Active in UCL’s Information and Communication Engineering Research Group, contributing to standards development via IEEE and ETSI working groups.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

VASDEKIS VASILEIOSمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Latent Variable Models
• Composite Likelihood Methods
• +۷ مورد دیگر

VASDEKIS VASILEIOS is a Professor of Statistics at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), where he has been a faculty member since 1999. He previously served as Assistant Professor (2003–2009), Associate Professor (2009–2016), and Lecturer (1999–2003). He held administrative roles including Head of Department (2016–2020) and Vice-Chancellor for Academic Affairs and Personnel (2020–2024). Education: D.Phil. in Statistics, University of Oxford, UK (1989–1993) M.Sc. in Applied Statistics, University of Oxford, UK (1988–1989) B.A. in Mathematics, University of Athens, Greece (1983–1988) His research focuses on longitudinal data analysis , latent variable models , and composite likelihood methods , with applications in clinical trials, psychology, and public health. He has developed statistical methodologies for correlated binary data, multivariate ordinal responses, and random effects models. His work bridges theoretical statistics with practical applications in medicine and social sciences. The recent publications show a strong trend in psychometrics , model diagnostics , and longitudinal modeling , particularly using composite likelihood and goodness-of-fit techniques. His interdisciplinary collaborations extend to developmental psychology and nutrition studies. Scientific Awards: Fellow of the Royal Statistical Society (UK) IKY Scholarship for Doctoral Research (1989–1993) He has supervised multiple doctoral students, including Evgenia Tzompanaki, Antonia Korre, and Ioanna Athanassopoulou, and postgraduate researcher Kostas Florios. He has secured research funding through projects such as PYTHAGORAS, ARISTEIA II, and internal AUEB grants. His professional service includes teaching workshops on SPSS and statistical methods for health professionals, often in collaboration with pharmaceutical companies like JANSSEN-CILAG. He is an active member of professional societies, including the Royal Statistical Society, the American Mathematical Society, and the Bernoulli Society. He has contributed to European research networks such as DAFNE, focusing on food consumption data analysis.

Panagiotis Alevrasمشاهده پروفایل

استادیار

• Nonlinear engineering dynamics
• Vibration energy harvesting
• Vibration attenuation
• +۷ مورد دیگر

Panagiotis Alevras is an Assistant Professor at the Department of Mechanical Engineering, Technical University of Crete, affiliated with the School of Production Engineering and Management. He holds a Diploma in Mechanical Engineering from NTUA (2011) and a PhD from Heriot-Watt University (2015), focusing on stochastic response of offshore renewable systems. His research spans nonlinear dynamics, vibration energy harvesting, and manufacturing technology. Dr. Alevras has contributed to EPSRC-funded projects on self-powered sensors for automotive applications and vibration absorbers for powertrains. He spent time as a Visiting Researcher at the University of Illinois and later joined the University of Birmingham as a Lecturer. His work includes over 20 journal papers and 30 conference proceedings, with an h-index of 14. Research interests include random ambient vibrations, vibration attenuation, and novel manufacturing techniques. He leads the Micromachining and Manufacturing Modeling Laboratory, focusing on advanced gear manufacturing simulations and modular energy systems. His recent articles emphasize nonlinear energy harvesting concepts, wind turbine dynamics, and torsional oscillation control in automotive systems. Dr. Alevras has served as an evaluator for funding agencies like ERC and contributed to European research projects as a Co-Investigator. His expertise bridges theoretical dynamics with practical engineering applications in renewable energy and automotive systems.

• VLSI Design
• Digital Circuit Testing
• Test Data Compression
• +۴ مورد دیگر

Χρ. Καβουσιανός is a Professor at the Department of Computer Engineering & Informatics, University of Patras (Polytechnic School). His research focuses on VLSI design, digital circuit testing, and test data compression. He holds a Diploma (1996) and PhD (2000) from the same department, with notable scholarships including the Maritsas Doctoral Scholarship (1999). Key roles include leading the Heraclitus II and Pythagoras II research programs as principal investigator. Collaborations include Duke University (USA) with Prof. Krishnendu Chakrabarty. Research highlights: Pioneered techniques in scan-based testing, test set embedding, and low-power testing. Over 45 publications in top journals/conferences (e.g., IEEE TCAD, DAC). Notable work includes defect-oriented testing methods and Huffman-based compression schemes. Has supervised 9 advisees across doctoral/postgraduate levels. Holds a 2010 US patent application on power switch design.

Ioannis Vlahavasمشاهده پروفایل

استاد

• Logic Programming
• Knowledge representation and Reasoning
• Automated Planning
• +۳ مورد دیگر

Ioannis Vlahavas is a Professor in the School of Informatics at Aristotle University of Thessaloniki since 2003, where he directs the Intelligent Systems Lab. He has held significant leadership roles including Chair of the School of Informatics (2003-2005, 2013-2017) and Dean of the School of Science and Technology at the International Hellenic University (2007-2016). His career spans over three decades with continuous contributions to artificial intelligence research and education. Education: Ph.D. in Computer Science, Aristotle University of Thessaloniki (1988) B.Sc. in Physics, Aristotle University of Thessaloniki (1982) Professor Vlahavas's research focuses on foundational AI areas including Logic Programming, Knowledge Representation and Reasoning, Automated Planning, and Machine Learning. His work bridges theoretical frameworks with practical applications in autonomous systems, healthcare diagnostics, and financial modeling. He has pioneered methodologies in reinforcement learning and multi-agent systems, with particular emphasis on personality emulation in gamified environments and transformer-based architectures for complex real-world problems. His recent publications reveal a strong trajectory toward deep reinforcement learning, transformer optimization, and low-resource language processing. Key application domains include autonomous driving (5 of 15 recent papers), biomedical text mining (particularly drug-drug interaction extraction), and personality modeling in gaming environments. There is notable cross-pollination between finance (portfolio theory applications, cryptocurrency trading) and AI methodology development. Scientific Awards: EurAI Fellow (2017) Professor Vlahavas has mentored numerous graduate students through PhD candidate programs and research projects. His leadership extends to organizing major international conferences including the 24th IEEE International Conference on Tools with AI (2012) and the 9th Hellenic Conference on Artificial Intelligence (2016). He serves on editorial boards and has guest-edited special journal issues on AI applications. He directs the Intelligent Systems Lab at Aristotle University, which operates as a multidisciplinary research hub focusing on machine learning, natural language processing, and intelligent system applications across healthcare, transportation, and finance sectors. The lab maintains strong industry connections including RealMINT, the university spin-off where he serves as CEO.

Panagiotis Kasnesisمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Semantic Web Technologies
• +۳ مورد دیگر

Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision. Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA) Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA. Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing. Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.

• Network Security
• Internet of Things (IoT)
• Artificial Intelligence in Networking
• +۵ مورد دیگر

Dimitris Kalogeras is a Researcher at the National Technical University of Athens (NTUA) , affiliated with the School of Electrical and Computer Engineering and the EPISEY research institute. He has been a key contributor to advanced networking initiatives, including the NTUA Network, EDET optical network, and University School Network. His work spans national and European projects like GEANT, 6net, and NOVI, and he pioneered IPv6 and multicast deployment in Greece and Europe. His research focuses on Network security Internet of Things (IoT) Artificial intelligence in networking Cyber-physical systems Robotics Medical image processing Recent work involves federated learning, UAV-based localization, and privacy-preserving frameworks in IoT environments. An analysis of his 15 most recent publications reveals strong emphasis on applications of machine learning in network security, robotic infrastructure maintenance, and lightweight AI for IoT. His projects include thethingsNetwork deployment in Athens, the HERON robotic platform, and the FELICE collaboration framework. He has contributed to global IoT initiatives through multi-channel LoRAWAN gateways and 6LowPAN mesh networks. His work on blockchain-based DDoS mitigation and semantic-aware policy management demonstrates leadership in cyber infrastructure resilience.

Karystinos Georgeمشاهده پروفایل

استاد

• Communication theory and systems
• Coding theory
• Adaptive signal processing
• +۶ مورد دیگر

Prof. George Karystinos is a Professor at the Technical University of Crete (TUC), School of Electrical and Computer Engineering (ECE), where he leads the Telecommunications Laboratory. His academic journey includes a Ph.D. in Electrical Engineering from SUNY Buffalo (2003) and a Diploma in Computer Engineering from the University of Patras (1997). He previously held a faculty position at Wright State University before joining TUC in 2005. His research focuses on communication theory, coding, adaptive signal processing, wireless systems, and neural networks. Key interests include spreading code design, interference suppression, adaptive antenna arrays, and noncoherent detection techniques. His work has led to advancements in power line communication, MIMO systems, and low-complexity decoding algorithms. Prof. Karystinos has received prestigious awards, including the 2003 IEEE Transactions on Neural Networks Outstanding Paper Award and the 2001 IEEE International Conference on Telecommunications Best Paper Award. He is an active member of IEEE societies in Communications, Signal Processing, and Information Theory. He teaches core courses such as Signals and Systems , Information Theory and Coding , and Probability and Random Processes . His laboratory emphasizes practical applications of theoretical concepts, with recent projects on smart photovoltaic systems and cascaded H-bridge converter control. His research spans 20+ years, yielding over 80 publications in top journals/conferences. Current efforts address challenges in IoT communication, noncoherent detection for RFID, and energy-efficient signal processing. He collaborates internationally on projects funded by Greek and EU research programs.

• Biomedical Engineering
• Entropy Analysis
• Bubble Entropy
• +۱۳ مورد دیگر

George Manis is an Associate Professor in the Department of Computer Science and Engineering at the School of Engineering, University of Ioannina, Greece. He is a member of the IPAN lab and serves as a Guest Editor for a special issue on 'Entropy in Biomedical Engineering' in the journal Entropy . His research bridges biomedical engineering and computational systems, with a strong focus on entropy-based methods and machine learning for physiological signal analysis. PhD in Computer Science, National Technical University of Athens (1993–1997) MSc in Advanced Methods in Computer Science, Queen Mary, University of London (1992–1993) Diploma in Electrical and Computer Engineering, National Technical University of Athens (1987–1992) His primary research interests include Biomedical Engineering , Entropy Analysis (especially Bubble Entropy), Fast Computation Algorithms , Biomedical Data Classification , Heart Rate Analysis , and Computing Systems with emphasis on parallelization. He teaches postgraduate courses in data analysis and biomedical data processing, and undergraduate courses in compilers. The analysis of his recent publications reveals a consistent trend in developing computationally efficient and robust methods for entropy estimation and classification in biomedical contexts. His work on Bubble Entropy eliminates the need for scale parameters and enhances stability, while his improvements to Random Forests and Support Vector Machines target enhanced diagnostic accuracy in diseases like Alzheimer’s and heart conditions. In computing systems, he has pioneered compiler technologies for parallelizing recursive functions and optimizing runtime scheduling. No scientific awards are explicitly mentioned in the provided text. George Manis has advised or collaborated with several researchers, including Evanthia Tripoliti, Dimitrios Fotiadis, Petros Arsenos, Argyro Kampouraki, and others, indicating active supervision and research leadership. He is currently involved in funded projects such as Palimpsest , an interactive museum system, and Homore , a smart monitoring system for elderly individuals. These projects reflect his interest in applying advanced computing to real-world biomedical and societal challenges. He is affiliated with the IPAN lab and contributes to the development of innovative algorithms for entropy computation and parallel processing. His work on the C2μTC/SL compiler and Ariadne system demonstrates deep expertise in compiler design for specialized architectures like the SVP processor.

• Random Graphs
• Design and Average Case Analysis of Algorithms
• Evolutionary Dynamics on Graphs
• +۱ مورد دیگر

Raptopoulos Christoforos is an Assistant Professor at the Department of Mathematics of the University of Patras , Greece. His academic qualifications include a Ph.D. (2009), M.Sc. (2005), and B.Sc. (2002) in Computer Engineering & Informatics from the same university. His research focuses on Random Graphs , Design of Algorithms , and Evolutionary Dynamics on Networks , with applications spanning computer science, probability theory, and computational biology. Key contributions include work on temporal graph algorithms, network majority determination, and evolutionary processes on graphs. His teaching portfolio covers Discrete Mathematics , Numerical Solutions of Ordinary Differential Equations , and Data Structures at the undergraduate level, alongside Algorithm Analysis and Data Structures for the MSc in Computational and Analytical Statistics in Data Science. While no specific scientific awards are listed, his 35+ publications since 2004 in journals like Theoretical Computer Science and Journal of Computer and System Sciences highlight his prolific output. He has collaborated extensively with Paul Spirakis, Sotiris Nikoletseas, and George Mertzios.

Thanasis Lianeasمشاهده پروفایل

مدرس

• Algorithmic Game Theory
• Network Optimization
• Selfish Routing
• +۳ مورد دیگر

Thanasis Lianeas is a Lecturer at both the National Technical University of Athens (NTUA) and the Athens University of Economics and Business (AUEB). He holds a PhD from NTUA's School of Electrical and Computer Engineering and has held postdoctoral positions at NTUA and the University of Texas at Austin. His research focuses on algorithmic game theory, network optimization, and risk-averse decision-making in systems like congestion games and routing networks. Education: PhD in Electrical and Computer Engineering, NTUA (supervised by Dimitris Fotakis and Stathis Zachos) Graduate Program in Logic, Algorithms, and Computation, NTUA Undergraduate Diploma in Applied Mathematics and Physics, NTUA Research Interests: Thanasis explores theoretical and applied aspects of network systems, including selfish routing, congestion games, and the impact of risk-averse strategies. His work often bridges algorithm design with economic principles to improve network efficiency and social welfare. Publications: His recent work addresses Braess's paradox resolution, no-regret learning dynamics, and equilibrium computation in complex networks. Key themes include optimizing network flows under strategic operators and designing mechanisms for risk-aware systems. Lab/Teams: Affiliated with CORELab (Center for Research and Applications of Data Analysis and Algorithmics) at NTUA.

Dimitriou Ioannisمشاهده پروفایل

پژوهشگر

• Queueing theory
• Applied probability
• Stochastic operations research

Dimitriou Ioannis is a researcher affiliated with the Department of Mathematics at the University of Ioannina. He holds a PhD in Mathematics from the same institution, with a thesis on Queueing Theory/Applied Probability under the supervision of Assoc. Prof. Christos Langaris. His research interests focus on Queueing theory, Applied probability, and Stochastic operations research. His work spans theoretical and applied aspects of stochastic systems, particularly in queueing models and their applications in telecommunications and computer networks. Education: Undergraduate: Department of Mathematics, University of Ioannina MSc: Department of Mathematics, University of Ioannina PhD: Department of Mathematics, University of Ioannina (Thesis: New results on the theory of retrial queueing systems) His research trends reflect a deep engagement with stochastic processes, retrial queueing systems, and their applications in network performance analysis. Recent work explores topics like Markov-dependent processes, reflected autoregressive models, and cooperative IoT networks. His publications often bridge theoretical stochastic analysis with practical engineering challenges in telecommunication systems and resource management. No scientific awards are explicitly mentioned in the provided texts. His advising and grant activities are not detailed here. His work contributes to the understanding of complex systems through advanced mathematical modeling, with applications in both academic and industry contexts.

Leonidas Tzevelekasمشاهده پروفایل

پژوهشگر

• Wireless Sensor Networks
• Energy-Efficient Networking
• Social Networking Platforms
• +۳ مورد دیگر

Dr. Leonidas Tzevelekas is a Researcher at the Advanced Networking Research Group (ANR) within the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. He holds a PhD in Informatics and Telecommunications from NKUA (2010), with a focus on energy-efficient networking algorithms, and maintains strong ties to both academic and industry telecommunications sectors. Education: Diploma in Physics (NKUA, 2000), MSc in Communications Engineering (TUM, 2002) Current Research: User-provided information collection/analysis in large-scale social networking platforms His publications since 2005 demonstrate consistent contributions to wireless sensor network optimization through techniques like random walks, jump-based mobility, and clustering algorithms. Notably, his work bridges theoretical research with practical telecom sector applications.