جست‌وجوی استاد و پژوهشگر

Gérard Berryمشاهده پروفایل

استاد

• Computer Science
• Lambda Calculus
• Functional Programming
• +۵ مورد دیگر

Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.

Alvin Cheungمشاهده پروفایل

دانشیار

• Data Management
• Programming Languages
• Software Systems
• +۴ مورد دیگر

Alvin Cheung is an Associate Professor in the Computer Science Division at UC Berkeley's EECS department. He is affiliated with the Data Systems and Foundations group, Programming Systems group, Sky Lab, and SLICE Lab, and serves as a faculty affiliate at the Berkeley Institute for Data Science. He advises the Data Science Discovery Program and provides technical guidance to industry partners. His research spans data management, programming languages, and scalable software systems, with emphasis on helping users process large datasets efficiently. Key innovations include verified lifting (applying formal methods and ML to infer program properties) and systems for optimizing database-backed applications and geospatial analytics. Recent work explores LLM-driven code optimization and transpilation techniques. His publications (2023-2025) show strong trends in ML-enhanced systems, verified compilation, and data management tools. Articles frequently integrate formal methods, program synthesis, and hardware-aware optimizations across domains like databases, distributed computing, and HCI. Scientific Awards: ACSIC Rock Star Award (2025) Dahl-Nygaard Junior Prize (2024) VLDB Early Career Research Contribution Award (2023) IEEE TCDE Rising Star Award (2020) Sloan Fellowship (2019) NSF CAREER Award (2017) 20+ additional honors Advising & Grants: He mentors PhD/MS students (e.g., Lily Liu at OpenAI, Chenglong Wang at Microsoft Research). Research is funded by: NSF DOE ONR ARO Intel Notable grants include ONR Young Investigator Award and ARO Early Career Program Award. Labs & Teams: Leads projects in Berkeley's Data Systems/Programming Systems groups and collaborates with Sky Lab/SLICE Lab. Manages labs focused on verified compilation (e.g., Tenspiler) and data infrastructure (e.g., Spatialyze).

Michalis Mountantonakisمشاهده پروفایل

پژوهشگر

• Large-Scale Semantic Data Integration
• Linked Open Data
• Semantic Web
• +۴ مورد دیگر

Michalis Mountantonakis is a Postdoctoral Researcher at FORTH and Laboratory Teaching Staff in the Department of Computer Science at the University of Crete, Greece. He holds a PhD (2020), MSc (2016), and BSc (2014) in Computer Science from the University of Crete, all with top grades. His research focuses on Large-Scale Semantic Data Integration, Linked Open Data, and Semantic Web technologies, with over 45 publications in top venues like ACM VLDB, ISWC, and ECML. He has been awarded the prestigious SWSA Distinguished Dissertation Award (2020) and the Maria Michael Manasaki Fellowship (2020). His work includes tools like LODsyndesis and LODChain, addressing challenges in knowledge graph connectivity and validation of AI-generated content. Education: PhD in Computer Science (2016-2020), University of Crete (Excellent GPA 9.74/10) MSc in Computer Science (2014-2016), University of Crete (Excellent GPA 9.87/10) BSc in Computer Science (2010-2014), University of Crete (2nd in class with GPA 8.42/10) Research Interests: His work bridges semantic web technologies with modern AI challenges, emphasizing large-scale data integration, knowledge graph applications, and validation frameworks. He has contributed to cultural heritage informatics, machine learning-augmented semantic systems, and cross-lingual NLP solutions. Recent trends include leveraging LLMs for query generation and semantic enrichment while ensuring factual accuracy through knowledge graph-driven validation. Key Achievements: Developed LODsyndesis, a global-scale semantic integration service Pioneered real-time validation of ChatGPT responses using RDF knowledge graphs Won Best Paper Award (ISWC 2022) for entity enrichment techniques Recipient of Stelios Orphanoudakis Undergraduate Fellowship (2013-2014) Participated in Roche Continents 2019 (top 100 European science students) Grants & Labs: His research has been supported by GSRT/HFRI. He collaborates with FORTH-ICS and leads projects in EU-funded initiatives like iMarine and BlueBridge. Current work focuses on governance models for ontologies, interoperable thesaurus creation (e.g., FoodEx2), and semantic analytics for cultural heritage datasets.

• Wireless transmission
• Wireless relay networks
• Software-defined radio
• +۷ مورد دیگر

Aggelos Bletsas Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC). He holds a PhD from MIT and has expertise in wireless communication, backscatter radio, and IoT. His research focuses on ultra-low-cost sensor networks and ambiently-powered systems. Education PhD in Media Arts and Sciences, MIT (2005) MSc in Media Arts and Sciences, MIT (2001) 5-year Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests Bletsas' work spans scalable wireless networks, backscatter radio, RFID systems, and energy harvesting. He pioneers batteryless IoT devices and environmental sensing technologies. His lab develops hardware and algorithms for low-cost, long-range communication. Awards & Recognition IEEE Fellow (2023) 2012-2013 TUC Research Excellence Award Multiple Best Paper Awards (ISWCS, RFID-TA, SENSORS) IEEE ComSoc and RFID Council Distinguished Lecturer (2022-2025) Labs & Projects Bletsas leads the Telecommunications Laboratory at TUC, focusing on batteryless sensors, scatter radio, and robotic inventory systems. Key projects include 'Internet of Plants' and ambiently-powered inference networks.

• Artificial Intelligence
• Geospatial Data Science
• Knowledge Graphs
• +۵ مورد دیگر

Professor Manolis Koubarakis is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on geospatial data science, knowledge graphs, entity resolution, and AI applications in Earth observation. He leads projects like ExtremeEarth and Plato, advancing semantic data cube systems and geospatial question answering engines. His work bridges AI and geospatial technologies, with contributions to frameworks like pyJedAI and Strabo 2 for managing big geospatial data. Research Interests include: Geospatial Question Answering Systems Entity Resolution and Entity Linking Ontology-Based Data Access (OBDA) Knowledge Graph Construction and Applications Earth Observation Data Analytics AI for Geoinformatics Notable Projects: ExtremeEarth: Combines Copernicus satellite data with machine learning for environmental analytics. Plato: Semantic data cube system enabling advanced querying of multidimensional datasets. GeoQA2: A geospatial question answering engine evaluated on large benchmarks. JedAI Family: Tools for scalable entity resolution in structured/semi-structured data. His publications span 20+ years, with recent emphasis on: AI-driven Earth observation systems Geospatial RDF benchmarking 3D geospatial interlinking Large language models for legal and health content delivery

Christos Ouzounisمشاهده پروفایل

استاد

• Bioinformatics
• Digital Biology
• Biological Computation
• +۵ مورد دیگر

Christos Ouzounis is a Professor of Bioinformatics at the Department of Informatics, Aristotle University of Thessaloniki , with a career spanning institutions including the European Bioinformatics Institute , King's College London , and University of Toronto . His work bridges Computational Biology , Digital Biology , and Metagenomics , focusing on large-scale data analysis, machine learning applications, and functional annotation of proteins. Education : BSc in Biological Sciences (1986), MSc in Biological Computation (1987), and DPhil in Computational Chemistry (1993) Key Roles : Director of the Bioinformatics Centre at King's College London (2007-2010), Research Director at IDEP-EKETA (2014-2020) His research interests include low-complexity protein sequences , Covid-19 seasonality patterns linked to UV radiation, and metagenomic analysis of urban microbiomes in cultural heritage sites. Current projects involve machine learning models for microbial coexistence networks, ontological classification of biomedical literature, and bioinformatics tool development . Publications highlight trends in archaeal genomics , functional dark matter in metagenomics, and epidemiological modelling . Notable collaborations include work on BioTextQuest v2.0 for concept discovery and MjCyc for metabolic pathway analysis.

• Distributed and Embedded Systems
• Distributed computing and collaborative systems
• Embedded and telecommunication systems
• +۵ مورد دیگر

Milionis Apostolos is a Professor in the Department of Digital Systems at the University of Piraeus, part of the School of Information and Communication Technologies. He has been teaching in the Department's Undergraduate and Postgraduate programs since 2005. He earned his diploma from the Department of Computer Engineering and Informatics at the University of Patras in 1994 and completed his PhD at the Department of Electrical and Computer Engineering of the National Technical University of Athens in 1999. Professor Milionis specializes in Distributed and Embedded Systems with extensive research in distributed computing architectures, embedded telecommunications, intelligent pervasive systems, and real-time applications. His work spans both theoretical and practical implementations including satellite communications and industrial HPCN applications. He has developed innovative applications such as a digital companion for autonomous navigation for the blind using smartphones. He has served as Scientific Director of the research project T1ΕΚ-593 MANTO and the authorship project KALLIPOS+ 556 "Embedded Systems". His industry experience includes positions as R&D Manager and Technical Director of Network Systems, along with service as a Scientific Associate at the Telecommunications Laboratory and NTUA's Research and Development Center. Scholarship from the Hellenic Republic for first place in his year Scholarship from the Hellenic Republic for second place in his year Scholarship from the Bodossaki Foundation for doctoral thesis preparation Professor Milionis has managed numerous significant research projects including ESA SATWAYS, HTCI A/2, MIKRO2-16/En-IV, ESPRIT EROPPA, INNO-TTN, and PAVE MediaGate. He has served on Project Coordination Committees for ICT-FET ATRACO, CELTIC IMPULSE/GENIO, Eurostars Z-Phone/NetHomEra, ENIAC END, AAL PeerAssist, and Tender III/98/028 Tetramed projects. He has also evaluated research programs for the GSRT and the Hellenic National Research Council. He has over 90 publications in international scientific journals and conferences, and developed widely implemented software for an ATM device driver for the PowerQUICC-II communications processor architecture.

Nikos Giatrakosمشاهده پروفایل

استادیار

• Big Data Management
• Internet of Things (IoT)
• Distributed Systems
• +۳ مورد دیگر

Nikos Giatrakos is an Assistant Professor at the School of Electronic & Computer Engineering, Technical University of Crete, and a core member of the Software Technology and Network Applications Lab (SoftNet) . His work bridges Big Data systems, IoT, and advanced analytics, with a focus on real-time processing and scalable architectures. Previously, he served as a postdoctoral researcher at the same laboratory. Education PhD in Computer Science, University of Piraeus (2012) Postgraduate Diploma in Information Systems, Athens University of Economics and Business (2008) BSc in Computer Science, University of Piraeus (2006) Research Focus : Nikos specializes in software architectures for Big Data streaming, including Distributed Big Data Processing , Federated Machine Learning , Cloud-to-Edge Data Management , and Approximate Query Processing . His work has also advanced Complex Event Processing and Outlier Detection in decentralized environments. Scientific Contributions : His research has led to the DAG* workflow optimizer for IoT, the SuBiTO framework for real-time neural learning, and the INFORE approach for cross-platform analytics. He received the Best System Demonstration Award at ACM CIKM 2020 for INforE. Academic Leadership : Nikos teaches Object-Oriented Programming, Data Science, and Distributed Systems. He has supervised numerous European and national grants as Principal Investigator and served on program committees for top-tier conferences like SIGMOD, VLDB, and DEBS.

Sotiris Christodoulouمشاهده پروفایل

دانشیار

• Web Engineering
• Web Application Performance Optimization
• Web Code Quality
• +۷ مورد دیگر

Sotiris Christodoulou is an Associate Professor at the Department of Electrical and Computer Engineering within the College of Engineering at the University of Peloponnese. He also serves as a research associate at the 'Diofantos' Institute of Computer Technology and Publishing. His academic career spans multiple institutions where he has taught graduate and undergraduate courses across seven different universities since 2004. Dr. Christodoulou earned his B.A. in Computer Engineering and Informatics from the University of Patras in 1994 and completed his PhD in Web Engineering from the same institution in 2004. His educational background established the foundation for his extensive research career focused on web technologies and applications. His primary research interests include Web Engineering, Web Application Performance Optimization, Web Code Quality, Semantic Web technologies, Hypermedia Systems, and emerging Web 2.0 and Web 3.0 technologies. His work extends to Virtual Interactive Environments, 3D and Augmented Reality applications, and Spatial Hypertext systems. Christodoulou's research bridges theoretical web engineering principles with practical applications in cultural heritage, education, and urban infrastructure systems. His research output comprises over 45 publications in international journals, book chapters, and conferences, accumulating more than 450 citations. He has participated in over 23 European and National Research and Development Projects focused on web software technology, hypermedia applications, and 3D educational and cultural applications. Professional member of ACM Professional member of IEEE Member of organizing committees for over 15 international scientific conferences Reviewer for recognized international journals (ACM, IEEE, etc.) Christodoulou has extensive teaching experience across seven universities, specializing in programming languages, web software engineering, software quality, and data management. His research projects typically combine applied research with cutting-edge technology implementation for real-world problems in large organizational information systems. He maintains regular office hours at Building K, Office K2.02 at the University of Peloponnese, with appointments available on Mondays and Thursdays.

Periklis Andritsosمشاهده پروفایل

دانشیار

• Customer Journey Analytics
• Data Clustering
• Data Science
• +۴ مورد دیگر

Periklis Andritsos is an Associate Professor at the University of West Attica's Department of Informatics and Computer Engineering. Previously, he served as an Assistant Professor at the University of Toronto's Faculty of Information (iSchool). He holds a PhD in Computer Science from the University of Toronto (2004), with postdoctoral research under Professors Renée J. Miller and Kenneth C. Sevcik. His research focuses on data clustering, process mining, customer journey analytics, and database design. He co-founded Thoora Inc. (winner of TechCrunch 50 2009) and Odaia.ai, applying his work to real-world applications in banking and urban transport systems. Education: PhD in Computer Science, University of Toronto (2004); MEng from National Technical University of Athens (Diploma in Electrical & Computer Engineering). Awards: Multiple Best Paper Awards (ICPM 2021, ADBIS 2019), TechCrunch 50 Award, and recognition in industry collaborations with institutions like the National Bank of Denmark and Lausanne Municipality. Research Interests: Process mining for customer journey mapping, categorical data clustering (notably the LIMBO algorithm), and applications in sales process optimization, data warehousing, and entity lifecycle management. Service: Program committee roles at EDBT, SIGMOD, KDD, and other conferences; editorial contributions to journals and special issues. His work on LIMBO remains a benchmark in categorical clustering, while recent efforts in process mining have pioneered customer journey analytics. He actively engages with industry, notably through Odaia.ai's application of his research in customer journey mapping tools.

Symeon Papavassiliouمشاهده پروفایل

استاد

• Computer Networks
• Wireless Networks
• Complex Networks
• +۷ مورد دیگر

Symeon Papavassiliou is a Professor at the Department of Communications, Electronics and Information Systems, School of Electrical and Computer Engineering, National Technical University of Athens since 2004. Previously held positions include Associate Professor at New Jersey Institute of Technology (1996-2004) and senior researcher at AT&T Labs (1995-1999). He leads the Network Management and Optimal Design Laboratory and has served in various academic leadership roles, including Deputy Director since 2005. His research focuses on computer networks, wireless systems, and AI-driven network management with over 400 publications. Recognized with multiple best paper awards and NSF Career Award (2003). Education: B.A. Electrical Engineering, NTUA (1990) MSc & PhD Electrical Engineering, Polytechnic University, NY (1992/1996) Key Roles: Founder, New Jersey Center for Wireless Networks & Internet Security Member, EETT (National Telecommunications Commission) 2006-2009 Editorial Board Member, multiple journals Research Interests: Specializes in mobile/distributed systems optimization, wireless networks, complex systems, IoT, and AI applications in network management. Active in 6G architecture research, edge computing orchestration, and secure federated learning frameworks. Publications highlight innovations in network resource allocation, game theory models for positioning systems, and symbiotic computing continuum architectures. Recent work emphasizes resilience in critical infrastructure and smart grid optimization. Awards: Over 10 best paper awards from IEEE conferences, AT&T recognition, and Greek Excellence in Research Grant (2012). Grants: Funded by EU Framework Programs, NSF, ESA, and industry partners like Panasonic and Northrop Grumman. Leads interdisciplinary projects like HEROES (UAV-based emergency response) and NEPHELE (multi-cloud ecosystems). Active in digital twin development for cultural heritage preservation and SDG tracking via knowledge graphs.

Athina Dimopoulouمشاهده پروفایل

مدرس

• Legal History
• Ancient Greek Law
• Roman Law
• +۳ مورد دیگر

Athina Dimopoulou is a Lecturer at the Law School of the National and Kapodistrian University of Athens, specializing in Legal History with a focus on Ancient Greek, Roman, and Byzantine law. She holds a PhD from the University of Paris-II Panthéon-Assas (1997) and has conducted advanced studies in Legal Papyrology and Epigraphy at Sorbonne and Greek institutions. Currently, she serves in the University’s Directorate of International and Public Relations, leading NKUA’s participation as work package leader on mobility in the CIVIS European Universities Alliance. She is also Vice President of the Greek Society of Legal History and contributes to academic publications like the Revue Internationale des Droits de l’Antiquité (RIDA). Her research explores legal frameworks of ancient and Byzantine societies, emphasizing socio-political dynamics such as political violence in Lesbos, water rights in Roman provinces, and the interplay between legal texts and everyday practices. Key interests include the evolution of legal systems, municipal governance, and the preservation of legal heritage through epigraphic and papyrological evidence. She actively trains law students for the International Roman Law Moot Court Competition and serves as a judge in these events. Dr. Dimopoulou has received the prestigious 'Récompense attribuée aux meilleures thèses' (1997) for her doctoral work. Her publications span monographs on Roman law’s modern relevance, legal structures in Lesbos across eras, and Byzantine legal sources. She has lectured globally, including at Harvard, Oxford, and Bologna, and collaborates internationally on legal history projects.

• Operational Research
• Computational Optimization
• Transportation Logistics
• +۳ مورد دیگر

Emmanouil Zachariadis serves as an Associate Professor at the Department of Management Science and Technology (DMST) within the School of Business at Athens University of Economics and Business (AUEB). He specializes in operational research and computational optimization, focusing on transportation logistics, supply chain systems, and environmental impact minimization. Education : BSc in Chemical Engineering from National Technical University of Athens (NTUA) MSc in Computing Science from Imperial College London PhD in Chemical Engineering from NTUA His research integrates mathematical programming with optimization algorithms for operational challenges in transportation and production systems. He has published 26 articles in top-tier journals, accumulating over 1200 Scopus citations by June 2024. Recent scholarly trends emphasize vehicle routing problems with complex constraints (cross-docking, loading, time windows) and optimization methods for logistics sustainability. His work spans production-routing integration, emergency evacuation planning (EVITA project), and hybrid metaheuristics. Scientific Awards : Teaching excellence award for undergraduate course 'Optimization Methods in Management Science', Dept. of Management Science & Technology AUEB (2021-22) Teaching excellence awards for postgraduate course 'Large Scale Optimization', MSc in Business Analytics AUEB (2020-21, 2021-22, 2022-23) He has participated in European and National research projects, applying his expertise in supply chain optimization and sustainability. His teaching portfolio covers quantitative methods, operational research, and supply chain optimization at both undergraduate and postgraduate levels.

Vassilis P. Plagianakosمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Bioinformatics
• +۵ مورد دیگر

Vassilis P. Plagianakos is an Associate Professor at the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. He has held visiting academic roles at the University of the Aegean, University of Patras, and University of Central Greece. He currently serves as the Department Head and Director of the postgraduate program Informatics and Computational Biomedicine in the School of Sciences. His research focuses on machine learning, neural networks, bioinformatics, and parallel computing with applications in healthcare and education. Education : Bachelor’s in Mathematics (1996), University of Patras Ph.D. in Mathematics (2003), University of Patras Research Interests : Plagianakos explores neural networks, evolutionary algorithms, and machine learning applications in bioinformatics, medical diagnosis, and educational technology. His work bridges computational methods with real-world challenges in healthcare (e.g., precision medicine) and STEM education (e.g., flipped classrooms, AI integration). Recent Trends in Publications : Recent work emphasizes predictive precision medicine using big data, blockchain scalability solutions, and AI ethics in automated content detection. He has pioneered methods like the HCER hierarchical clustering-ensemble regressor and developed tools for analyzing single-cell RNA sequencing data. Professional Activities : Member of IEEE Neural Networks Society, IEEE BBTC, and former Board Member of the Hellenic AI Society. Active in collaborative projects like CrowdHEALTH for policy-driven health data analytics.

Haldoupis Christosمشاهده پروفایل

استاد

• Ionospheric Physics
• Plasma Instabilities
• Atmospheric Waves
• +۵ مورد دیگر

Christos Haldoupis is a retired Professor in the Department of Physics at the University of Crete, where he established his career starting in 1978. He founded and led the Laboratory of Ionospheric Physics, contributing significantly to atmospheric and space physics research for over three decades until his retirement in 2014. Education includes: B.Sc. in Physics from University of Thessaloniki (1970) Ph.D. in Ionospheric Physics from University of Saskatchewan His research focuses on ionospheric plasma physics, particularly: Dynamics of sporadic E layers and their relationship with atmospheric waves Transient luminous events (sprites/elves) and their ionospheric effects Atmospheric electricity and VLF electromagnetic wave studies Geophysical instrumentation development including radar systems He maintains active collaborations worldwide through visiting positions in Norway, Canada, Germany, France, and Japan. Publications demonstrate concentrated focus: Dominant themes in sporadic E layer formation and variability Atmospheric wave-ionosphere interactions across multiple timescales Lightning-induced electromagnetic phenomena and their ionospheric signatures Innovative ionospheric measurement techniques and algorithms Research infrastructure development includes establishing radio Doppler and interferometry systems for ionospheric monitoring. International collaborations span Europe, North America and Japan.