جست‌وجوی استاد و پژوهشگر

Benjamin C. Pierceمشاهده پروفایل

استاد

• Programming Languages
• Type Systems
• Language-Based Security
• +۵ مورد دیگر

Benjamin C. Pierce serves as the Henry Salvatori Professor of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania. He is a Fellow of the ACM with extensive editorial experience, having served as co-Editor in Chief of the Journal of Functional Programming and Managing Editor for Logical Methods in Computer Science. His research spans programming languages, type systems, language-based security, formal verification, differential privacy, and synchronization technologies. Pierce is renowned for developing foundational frameworks in bidirectional transformations (lenses), property-based testing, and differential privacy verification. His work bridges theoretical computer science with practical implementation, particularly evident in his development of the Unison file synchronizer and the Clowdr virtual conference platform. The trends in his recent publications reveal a sustained focus on verification techniques for privacy-preserving systems, particularly differential privacy, alongside continued innovation in bidirectional data transformations and property-based testing methodologies. His work increasingly integrates formal verification with practical implementation concerns. Fellow of the ACM Pierce has mentored numerous researchers through PLMW (Programming Languages Mentoring Workshop) events and has served on numerous program committees for major conferences including POPL, PLDI, and ICFP. His editorial work has significantly shaped the programming languages research community through his leadership roles in key journals. He leads development of the Unison file synchronizer, a cross-platform tool used worldwide, and co-developed the Clowdr virtual conference platform that gained prominence during the pandemic. His work demonstrates a consistent pattern of creating practical tools grounded in deep theoretical foundations.

Nikos Tsourveloudisمشاهده پروفایل

استاد

• Field Robotics
• Computational Intelligence
• Production Systems Modeling and Control
• +۳ مورد دیگر

Nikos Tsourveloudis is a Professor of Manufacturing Technology at the School of Production Engineering and Management, Technical University of Crete. He leads the Intelligent Systems & Robotics Laboratory and the Machine Tools Laboratory. His research focuses on autonomous robotics, field robotics, and computational intelligence, with over 100 publications in these areas. He has been honored with awards such as the 3rd EURON/EUROR Robotic Technology Transfer Award (2009) and multiple ADAC Safety Awards (2010, 2011, 2016, 2017). His work integrates robotics, manufacturing systems, and energy efficiency, with applications in electric vehicles and UAV missions. Academic roles include editorial positions in journals and leadership in professional organizations like the Hellenic Association of Industrial Engineers. Education: Diploma in Production and Management Engineering (1990), Technical University of Crete PhD in Production and Management Engineering (1995), Technical University of Crete Research Interests: Autonomous navigation of field robots, computational intelligence, production systems modeling/control, and energy-efficient robotics. His labs develop cutting-edge solutions like the TUCer low-consumption vehicle prototype and advanced path-planning algorithms for UAV swarms. Awards: 3rd EURON/EUROR Robotic Technology Transfer Award (2009) 1st ADAC Safety Award (2010, 2011, 2016, 2017) Advising & Grants: His research has been funded by public/private partnerships. Notable projects include energy management systems for hybrid vehicles and swarm-based UAV missions. Collaborations bridge academia and industry, driving innovations in manufacturing and autonomous systems. Labs & Teams: Leads two major research groups: the Intelligent Systems & Robotics Lab and the Machine Tools Lab, focusing on robotics, control systems, and sustainable manufacturing technologies.

Deligiannakis Antoniosمشاهده پروفایل

استاد

• Databases
• Sensor Networks
• Online Analytical Processing (OLAP)
• +۶ مورد دیگر

Antonios Deligiannakis is a Professor at the Department of Electronic and Computer Engineering, Technical University of Crete. His research focuses on databases, sensor networks, online analytical processing (OLAP), approximate query processing, and distributed systems. He holds a Ph.D. in Computer Science from the University of Maryland (2005), an M.Sc. from the same institution (2001), and a Diploma in Electrical & Computer Engineering from the National Technical University of Athens (1999). His career includes postdoctoral work at the University of Athens (2006–2007), a lecturer position there (2007), and an internship at AT&T Labs-Research (2003). He leads the Software Technology and Network Applications Laboratory , contributing to projects like extreme-scale analytics platforms (INFORE) and federated learning systems. Research areas span IoT workflow optimization, communication-efficient distributed learning, and real-time maritime event detection. His work emphasizes scalability, efficiency, and practical implementations for big data challenges. Courses taught include Structured Programming . Notable contributions include DAG* algorithms for IoT workflows, federated learning frameworks, and systems for proactive streaming analytics at scale. He has pioneered methods for outlier detection in sensor networks and efficient query processing over distributed streams.

• Computer Architecture
• Scalable System Architecture
• Low-Power Computing
• +۱۴ مورد دیگر

Manolis G.H. Katevenis is a Professor at the Department of Computer Science, University of Crete, and the founder and Head of the Computer Architecture and VLSI Systems (CARV) Laboratory at the Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH) in Heraklion, Crete, Greece. He has held academic positions since 1986 and played a pivotal role in establishing the Computer Science Department at the University of Crete. His research spans computer architecture, interconnection networks, VLSI systems, and high-performance computing, with a strong focus on scalable, low-power, manycore systems and RISC-V. He has led numerous European R&D initiatives, including serving as Coordinator of the ExaNeSt project. PhD in Computer Science, University of California, Berkeley (1983) MSc in Electrical Engineering and Computer Science, University of California, Berkeley (1980) Diploma of Electrical Engineering, National Technical University of Athens (1978) Manolis Katevenis's research focuses on advancing scalable system architectures for high-performance and big data computing. His work in computer architecture includes RISC-V, exascale computing, and manycore systems. He has made foundational contributions to interprocessor communication, particularly through remote-write, remote-DMA, and remote-enqueue mechanisms, and has pioneered innovations in interconnection networks and low-latency network interfaces. His research integrates hardware and software co-design to optimize performance, energy efficiency, and scalability in large-scale computing systems. The recent publications highlight a strong trend in exascale computing, interconnection networks, and FPGA-based prototyping of manycore systems. His work emphasizes scalable, low-power architectures, with recurring themes in congestion management, fair scheduling, crossbar design, and hardware-software integration for HPC. The articles span high-impact journals such as IEEE/ACM Transactions on Networking, IEEE Micro, and Computer Networks, reflecting sustained contributions to computer architecture and networking. ACM Doctoral Dissertation Award (1984) David J. Sakrison Memorial Prize (1983) IBM PhD Fellowship (1981–1983) Greek State Fellowship (1973–1978) Stelios Pichoridis Award for Outstanding University Teaching (2015) Member of Academia Europaea (elected 2012) Award by the Secretary General of the Region of Crete (2003) IEEE Milestone recognition for the RISC Project (2015) Manolis Katevenis has supervised over 50 graduate theses and mentored many prominent Greek computer architects, including recipients of the ACM Maurice Wilkes Award. He has served as Principal Investigator or co-PI in over 30 R&D projects with a total budget exceeding 18 million euros, including major European initiatives such as ExaNeSt (which he coordinated), EuroEXA, EcoScale, SARC, ENCORE, and multiple HiPEAC Network of Excellence projects. His leadership extends to project coordination, architectural design, FPGA prototyping, and systems software development. Katevenis founded and leads the CARV Laboratory at FORTH-ICS, a major research team with 80–100 members focused on computer architecture and VLSI systems. The lab has spun off the Distributed Computing Systems (DCS) Laboratory and is central to European exascale computing efforts, including participation in the European Processor Initiative. CARV has developed large-scale prototypes such as the 768-core ExaNeSt system and the Formic FPGA platform for manycore research.

• Information Systems
• Databases
• e-Business
• +۱۴ مورد دیگر

Spyros Syrmakesis is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese (Patras). He directs the E-Entrepreneurship and Interaction Design Laboratory and participates in StartUp Europe initiatives, focusing on research, innovation, and IT development. Director, E-Entrepreneurship and Interaction Design Laboratory Member, StartUp Europe Research Areas: IT Innovation, Social Web, Start-Up Ecosystems Research Interests : Information Systems, Databases, e-Government, Human-Computer Interaction, Data Mining, Personalized Services, and STEAM Education. His work bridges entrepreneurship with technology, emphasizing start-up creation and adaptive design. Recent Article Trends : Focus on STEAM education (2024), Blue Economy skill development (2024), PBL pedagogy (2024), and assistive technologies for aging populations (2018–2019). Earlier work (2002–2018) explores web personalization, e-commerce, and educational technology frameworks. Labs & Projects : Leads the E-Entrepreneurship and Interaction Design Laboratory. Involved in initiatives like the TRACCE project (2021) for cultural route personalization and RADIO (2019) for robotic assisted living.

Dimitris Fouskakisمشاهده پروفایل

استاد

• Bayesian Statistics
• Objective Bayesian Methodology
• Stochastic Optimization
• +۳ مورد دیگر

Dimitris Fouskakis is a Professor at the Department of Mathematics within the School of Applied Mathematical and Physical Sciences at the National Technical University of Athens (NTUA), where he also serves as the Director of the Statistics Lab. His research primarily focuses on Bayesian statistics, objective Bayesian methodology, and stochastic optimization. He has developed novel approaches for prior specification, variable selection, and model comparison in statistical modeling. Professor Fouskakis maintains active research interests in: Objective Bayesian methods and prior construction Bayesian variable selection and model averaging Stochastic optimization techniques High-dimensional data analysis Applications in educational statistics and public health His recent publications demonstrate a consistent focus on Bayesian methodology development, particularly in the areas of shrinkage priors, power-expected-posterior methods, and model comparison techniques. The research spans both theoretical developments and practical applications across multiple domains including education, public health, and computational statistics. Professor Fouskakis directs the Statistics Lab at NTUA, which serves as a hub for statistical research and collaboration. While specific grant and student advising information isn't provided in available texts, his leadership role indicates active engagement in research supervision and academic mentorship.

• Net-centric Information Systems
• Service-Oriented Architectures
• Web Engineering
• +۶ مورد دیگر

Giannis Tzimas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He holds a BSc and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on Net-centric systems, Web Engineering, Big Data, AI applications, Digital Transformation for public sectors, and Bioinformatics. He has been a World Bank consultant since 2018, advising on digital transformation projects in Social Protection, Labor, and Education across Europe, Africa, Asia, and the Caribbean. Dr. Tzimas has extensive leadership experience, including Technical Manager at the Graphics, Multimedia & GIS Lab (University of Patras, 1996–2018) and Technical Coordinator at the Computer Technology Institute (1997–2011). He managed EU-funded R&D projects and collaborated on infrastructure development for the TEI of Messolonghi’s Network Operations Center (2009–2013). His research interests include Service-Oriented Architectures, Web Data Engineering, and applications of Machine Learning in public sector digitization. He has published widely in top journals and conferences, with recent work exploring AI-driven labor market analytics and pandemic employment impacts. Dr. Tzimas collaborates with international organizations and academic institutions, contributing to frameworks for interoperable social protection systems and digital labor market observatories. His work bridges academic research with real-world policy implementation, emphasizing data-driven solutions for societal challenges.

• Computer Networks
• Distributed Systems
• Parallel Processing
• +۶ مورد دیگر

Paraskevi Frangopoulou is a Professor at the Department of Electrical and Computer Engineering (E.C.E.) of the Hellenic Mediterranean University (Heraklion, Crete). She specializes in distributed systems, parallel processing, computer networks, and their applications in education. She holds academic leadership roles in courses such as "Analysis and Design of Algorithms," "Data Structures," and "Parallel Processing" at the undergraduate level, and "Data Structures and Algorithms" in the postgraduate "Informatics Engineering" program. Education: B.Sc., Department of Computer Science, University of Crete (1989) M.Sc. & Ph.D., Queen's University, Canada (1991, 1995) Research & Affiliations: She leads the NetDil group within the MNCLab at the Hellenic University of Athens and collaborates with the DiSC Lab at FORTH. Her work focuses on distributed systems, P2P networks, and cybersecurity. She has authored over 70 articles, achieving 2000+ citations (h-index: 20, i10-index: 42). Grants & Activities: Principal investigator in multiple EU/National projects. Active in conference organization and peer review. Labs & Teams: MNCLab (Multimedia, Networks & Communications), DiSC Lab (Distributed Computing & Cybersecurity).

Stavroula Zoiمشاهده پروفایل

پژوهشگر

• Interactive Multimedia
• Extended Reality (XR)
• Creative Technologies
• +۳ مورد دیگر

Dr. Stavroula Zoi is a computer scientist and researcher at the Athens School of Fine Arts (ASFA), serving as a Laboratory Instructor (EDIP) since 2004. Her work bridges art, technology, and education, with expertise in Interactive Multimedia, Extended Reality (XR), and Creative Technologies. She holds a PhD from the National Technical University of Athens (NTUA) and leads projects such as the @postasis platform, a multiuser virtual space for collaborative artistic education and experimentation. Education: BSc in Computer Science, University of Ioannina (1997) PhD in Software Engineering, NTUA (2003) Research & Projects: Developed platforms like InBetween, Action Room II, and Global Earth Art Project. Coordinated the Erasmus+ @postasis program (2017–2020), fostering real-time artistic collaborations globally. Explores XR in art education, including postdoctoral research at the University of the Aegean (2023–present). Teaching: Teaches courses in VR, human-computer interaction, and digital art at ASFA’s Greek-French Master program and the Master in Digital Arts. Labs & Collaborations: Collaborates with Fournos Center for Digital Culture and its Fournos Lab, focusing on multimedia performances and experimental setups.

• Data Management and Databases
• Data Warehousing and Business Intelligence
• Schema evolution
• +۵ مورد دیگر

Georgia Tsirimokou is an Assistant Professor at the University of Ioannina. She holds a Ph.D. in Analog IC Design from the Physics Department of the University of Patras (2017), following her M.Sc. in Electronics and Communications (2013) and B.S. in Physics (2011), both from the same institution. Her teaching responsibilities include courses such as MYY203 Basic Circuit Theory, MYE054 Design of Analog Circuits, and H7 - Analog Integrated Circuits and Systems. Her research interests span Data Management and Databases , Data Warehousing , Schema Evolution , and Metadata-Rich Information Systems , alongside contributions to analog integrated circuits and fractional-order systems design . Recent work focuses on filter approximation, resonator design, and interdisciplinary applications of non-integer-order circuits. Publications highlight innovations in fractional-order filters, oscillator design, and biomedical signal processing. Despite extensive research output, no awards or grants are explicitly noted in the provided materials. Her advising and lab affiliations remain unspecified in the data, though her technical expertise suggests involvement in advanced analog circuit research and development teams.

Pavlidou Vasilikiمشاهده پروفایل

استاد

• High-energy astrophysics
• Cosmology
• Polarimetry of high-energy sources
• +۵ مورد دیگر

Professor Vasiliki Pavlidou holds a faculty position in the Department of Physics at the University of Crete. She is also Director of the Institute of Astrophysics at FORTH and Skinaka Observatory. Her career includes postdoctoral roles at the University of Chicago and Caltech, followed by visiting research at the Max-Planck Institute. She has led major initiatives like the RoboPol and PASIPHAE projects, focusing on blazar polarimetry and Galactic magnetic field mapping. Her research integrates high-energy astrophysics, cosmology, and particle physics probes through cosmic rays. Key achievements include securing an ERC Synergy Grant (2024) and receiving the L’Oréal-UNESCO Women in Science Prize (2010). She has pioneered studies on cosmic birefringence, milli-lensing, and turnaround radius cosmology. Education: BSc in Physics (Aristotle University of Thessaloniki, 1999); PhD in Physics (University of Illinois Urbana-Champaign, 2005) Positions: Deputy Director of Institute of Astrophysics-FORTH (2021–); Associate Editor of Astronomy & Astrophysics (2023–) Research Interests: Her work spans cosmic microwave background polarization studies via LiteBIRD, galactic magnetic field tomography, and ultra-high-energy cosmic ray deflection modeling. She investigates blazar variability mechanisms, dark matter/dark energy probes through galaxy clusters, and synergies between particle physics and astrophysical observations. Recent focus includes applying machine learning to cosmological structure analysis and developing novel polarimetric instrumentation. Impact: Over 70 peer-reviewed publications since 2005, including seminal works on CMB lensing forecasts, magnetic field reconstruction algorithms, and blazar polarimetric monitoring. Her ERC-funded MW-Atlas project aims to create a 3D galactic map. She also contributes to astronomy education through teacher training programs (ABATAC project). Grants: ERC Synergy Grant (2024), L’Oréal-UNESCO Prize (2010), Einstein Fellowship (2008–2011) Leadership: Directs two major facilities and oversees international collaborations like PASIPHAE (pan-European optical polarimetry survey)

• Computational Creativity
• Machine Learning in Music
• Neural Networks
• +۴ مورد دیگر

Kaliakatsos Papakostas Maximos is an Associate Professor in AI in Music at the Department of Music Technology and Acoustics, Hellenic Mediterranean University, where he also directs the MSc program in Sound and Music Technologies. He collaborates with the Athena Research and Innovation Centre and the Cognitive and Computational Musicology Group at Aristotle University of Thessaloniki. His research focuses on computational creativity, neural networks in music understanding, evolutionary algorithms for harmony and rhythm generation, and interactive music systems. He develops applications like Genius Jam Tracks and contributes to open-source projects such as the CHAMELEON harmonisation system. His work bridges music theory, AI, and technology, with applications in mobile music tools and cognitive modeling. Research Interests : Computational Creativity through Machine Learning and Conceptual Blending Neural Networks in Music Generation and Analysis Evolutionary Computation for Musical Structures Human-Computer Interactive Systems for Improvisation Cognitive Models of Musical Perception Labs & Collaborations : Collaborating Researcher at Athena Research Centre Partnership with the Cognitive and Computational Musicology Group (Aristotle University) Development of open-source tools like CHAMELEON and GCT_py Grants & Projects : Not explicitly listed in provided texts, but his GitHub activity suggests ongoing research in AI music technologies.

• 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.

Ioulia Papageorgiouمشاهده پروفایل

دانشیار

• Sampling Theory
• Model-Based Clustering
• Mixture Models
• +۳ مورد دیگر

Dr. Ioulia Papageorgiou is an Associate Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. She holds a B.Sc. in Mathematics (2.1) and a Ph.D. in Statistics, both from the University of Ioannina. Her career spans since 2001, with prior roles as a Post-Doctoral Research Fellow at AUEB and Nottingham Trent University, and Lecturer at AUEB (2002-2007). Education B.Sc. in Mathematics (2.1), University of Ioannina Ph.D. in Statistics, University of Ioannina Employment History Associate Professor, AUEB Department of Statistics (2007-present) Lecturer, AUEB Department of Statistics (2002-2007) Post-Doctoral Research Fellow, AUEB (2001-2002) Post-Doctoral Research Fellow, Nottingham Trent University (1998-2001) Her research focuses on Sampling Theory, Model-Based Clustering, Mixture Models, and their Applications to Archaeometry. She has developed statistical methodologies for ceramic artifact provenance studies, explored hierarchical cluster analysis for overpainted artwork identification, and addressed optimal sampling designs for autocorrelated populations. Her work bridges statistical innovation with archaeological and medical applications. Analysis of her recent publications reveals a strong emphasis on statistical modeling in archaeology (e.g., ceramic provenance via p-XRF), computational methods for multivariate data, and pharmacoeconomic assessments for chronic diseases. Keywords across her work include Archaeometry, Cluster Analysis, Multivariate Modeling, and Survey Sampling.

Theodoridis Ioannisمشاهده پروفایل

استاد

• Data Science
• Databases
• Big Data Management
• +۳ مورد دیگر

Professor Theodoridis Ioannis is a distinguished faculty member in the Department of Informatics at the University of Piraeus, where he serves as Director of the Data Science Laboratory within the School of Information and Communication Technologies. With a career spanning over two decades, he has established himself as a leading expert in data management and analysis. His research interests focus on Data Science, particularly in databases, big data management, data mining, and geoinformatics. Professor Theodoridis has made significant contributions to spatial database systems, time series analysis, and distributed data processing. His work bridges theoretical foundations with practical applications in areas such as smart cities, mobility analytics, and scientific data management. His publication record demonstrates consistent research productivity with over 100 peer-reviewed articles in top-tier venues, accumulating more than 10,000 citations. His research output shows a clear evolution from foundational database techniques toward contemporary challenges in big data analytics, machine learning integration, and privacy-preserving methods. Member of editorial board of ACM Computing Surveys (since 2016) Reviewer for numerous international journals and conferences Active participant in data management conference committees Professor Theodoridis has secured significant research funding through Horizon 2020 projects, serving as project coordinator and research team leader since 2001. His work demonstrates strong industry and academic collaboration, with applications spanning multiple domains. He has also co-authored three influential monographs in his field. He leads the Data Science Laboratory, which serves as a hub for interdisciplinary research at the intersection of database systems, machine learning, and domain-specific applications. The laboratory fosters collaboration between computer scientists, domain experts, and industry partners to address real-world data challenges.