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Ioannis EmirisView profile

Professor

• Computational Geometry
• Algebraic Algorithms
• Robotics
• +4 more

Ioannis Z. Emiris is a Professor in the Department of Informatics & Telecoms at the National & Kapodistrian University of Athens and concurrently serves as President and General Director of the ATHENA Research Center in Greece. He holds a BSc in Computer Science from Princeton University (1989) and a PhD in Computer Science from UC Berkeley (1994). His research spans computational geometry, algebraic algorithms, robotics, structural bioinformatics, and optimization. He is a leading expert in sparse elimination theory, geometric modeling, and algorithmic algebra. Affiliations: ATHENA Research Center, National & Kapodistrian University of Athens, INRIA Sophia Antipolis (France via joint AROMATH team). Education: BSc (Princeton), PhD (UC Berkeley). Research Interests Emiris's work focuses on geometric algorithms, algebraic systems, and their applications. His contributions include advancements in sparse elimination theory, computational geometry for high-dimensional data, and robotics. He has developed algorithms for polynomial system solving, Voronoi diagrams, and geometric predicates for ellipses. Articles Overview His recent work bridges theoretical advances with practical applications, such as deep learning for protein structure prediction (HydraProt) and geometric algorithms for high-dimensional data analysis. He explores intersections between algebraic geometry and computational methods, with applications ranging from robotics to bioinformatics. Scientific Awards Best Paper Award at ISSAC 2003 and 2010 MSCA Network GRAPES (2019-2023) Advising & Grants Emiris has supervised numerous students and researchers, contributing to interdisciplinary projects. He has secured grants for initiatives like the GRAPES network and has led teams in algorithm design and geometric software development. His work on MARS (Maple/Matlab/C Resultant-Based Solver) exemplifies his focus on practical algorithm implementation. Labs & Teams He directs the Lab of Geometric & Algebraic Algorithms and collaborates with the AROMATH team at INRIA. His research group develops open-source tools for computational geometry and algebraic computations.

• Algorithmic Graph Theory
• Parallel Algorithms
• Graph Theory
• +4 more

Stavros Nikolopoulos is a Professor in the Department of Computer Science & Engineering at the University of Ioannina, Greece. He serves as Director of the Algorithms Engineering Lab and holds a PhD in Computer Science (1991, University of Ioannina). His research focuses on Algorithmic Graph Theory, Parallel Algorithms, Malware Detection, and Software Watermarking. He has published extensively in top-tier journals and conferences, including Discrete Applied Mathematics and Theoretical Computer Science. Education: B.Sc. in Mathematics, University of Ioannina (1982) M.Sc. in Computer Science, University of Dundee (1985) Ph.D. in Computer Science, University of Ioannina (1991) Research Interests: Design and Analysis of Algorithms Graph Algorithms (e.g., permutation graphs, cographs) Malware Detection via System-call Group Analysis Graph-based Watermarking Systems Discrete Event Simulation Awards & Recognition: Best Student Paper Award (WEBIST'13) Best Paper Award (CompSysTech'13) Labs & Projects: Director, Algorithms Engineering Lab Principal Investigator in EU-funded projects (e.g., HRAKLITOS, PENED-05)

Archontia C. GiannopoulouView profile

Associate Professor

• Graph Algorithms
• Structural Graph Theory
• Parameterized Algorithms and Complexity
• +3 more

Archontia C. Giannopoulou is an Associate Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece. Her research focuses on Graph Algorithms, Structural Graph Theory, and Parameterized Algorithms and Complexity. She explores advanced topics such as matching minors, tree-cut width, immersion minors, and kernelization. Her work emphasizes algorithmic design and structural graph theory with applications in combinatorial optimization. Giannopoulou’s academic contributions include seminal papers on edge deletion problems, cutwidth obstructions, and polynomial kernelization. Notable publications include studies on bipartite graphs and their structural properties, as well as algorithmic advancements in parameterized complexity. Her research bridges theoretical foundations with practical algorithmic solutions. Her contact information includes an email at archontia.giannopoulou@gmail.com and a postal address at the University of Athens. Her work spans international collaborations, reflected in co-authored articles with leading researchers in the field.

Panayiotis TsaparasView profile

Associate Professor

• Algorithmic Bias and Fairness
• Social Network Analysis
• Social Media Analysis
• +7 more

Panayiotis Tsaparas is an Associate Professor in the Department of Computer Science & Engineering at the University of Ioannina, Greece. He is also a Collaborating Senior Researcher at the Archimedes Research Center since 2023. His academic journey includes a Ph.D. from the University of Toronto, postdoctoral work at the University of Rome (La Sapienza) and the University of Helsinki, and research experience at Microsoft Research, Search Labs. Education: B.Sc., University of Crete, Greece Ph.D., University of Toronto, Canada, supervised by Allan Borodin His research focuses on algorithmic fairness, social network and media analysis, and data mining . He investigates how opinions form and spread in networks, how bias manifests in algorithms like PageRank, and how to design fair recommendation systems. His work bridges theoretical algorithm development with practical applications in social computing. His recent publications, appearing in top venues like WWW, KDD, WSDM, and SDM, reveal strong trends in fairness-aware algorithms, opinion dynamics, polarization modeling, and temporal network analysis . He has pioneered work on fairness in PageRank and link recommendations, and on measuring and moderating polarization in online communities. Scientific Awards: Best paper award at ACM SIGMOD Workshop on Data Bases and Social Networks (DBSocial), 2013 Best paper award runner-up at ACM KDD, 2006 He leads a research group and has advised students on topics including internet review analysis and election prediction using Twitter. He has secured significant funding, notably a Marie Curie Reintegration Grant (JMUGCS) , which supported research on jointly mining user-generated content across reviews, social networks, and behavioral data. His teaching includes undergraduate and graduate courses such as Data Mining and Online Social Networks and Media . He collaborates extensively with researchers like Evaggelia Pitoura, Nikos Mamoulis, Aristides Gionis, and others, forming a strong network in the data mining and social network analysis community.

Sotiris ChristodoulouView profile

Associate Professor

• Web Engineering
• Web Application Performance Optimization
• Web Code Quality
• +7 more

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.

Stefan K. MullerView profile

Assistant Professor

• Type Systems
• Parallel Computing
• Resource Analysis
• +4 more

Stefan K. Muller is the Gladwin Development Chair Assistant Professor in the Computer Science Department at Illinois Institute of Technology. He previously served as a Postdoctoral Researcher at Carnegie Mellon University from 2018-2020 following completion of his PhD there under advisor Umut A. Acar. His academic journey began with an AB from Harvard University in 2012 under Stephen Chong. Dr. Muller's research centers on programming language techniques to improve correctness and efficiency of software, particularly in parallel computing domains. His work spans language and type system design, static resource analysis, and parallel computing methodologies. He leads the Responsive Parallelism research project which extends implicit parallelism models to handle features of consumer software like user interaction and responsiveness requirements. His publication record shows consistent output in top-tier venues including PLDI, POPL, ICFP, and SPAA, with recent work focusing on graph types, responsive parallelism, and resource-aware GPU programming. His research has been supported by NSF grant CCF-2107289. Current advisees include Marelle León (BS), Godha Pallavi Bhogadi (MS), and Alex Friedman (PhD) Former students have gone on to positions at Apple, Amazon, Bloomberg, American Express, and PhD programs at UPenn Teaching responsibilities at Illinois Tech include graduate courses CS534 (Types and Programming Languages), CS536 (Science of Programming), CS440 (Programming Languages and Translators), and CS443 (Compiler Construction). Previously at CMU, he taught Principles of Functional Programming.

Diomidis SpinellisView profile

Professor

• Software Engineering
• Programming Languages
• Computer Science
• +5 more

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.

• Graph Theory
• Algorithm Design
• Parameterized Complexity
• +3 more

Giannopoulou Archontia is an Associate Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. Her research focuses on theoretical informatics, particularly in graph theory, algorithm design, and parameterized complexity. She explores structural properties of graphs and their algorithmic implications, including graph minors, tree decompositions, and kernelization techniques. Her work emphasizes applications of graph searching, perfect matchings, and combinatorial optimization. Recent research trends include studies on flat wall theorems, matching minors in bipartite graphs, and directed tangle tree-decompositions. Her publications reflect contributions to both foundational theory and practical algorithm design in these areas. Giannopoulou has no listed scientific awards in the provided materials. Her advising and grant activities are not detailed here, though her extensive publication history suggests active research involvement. No lab or team affiliations are specified in the text.

Evaggelia PitouraView profile

Professor

• Data Management
• Distributed Databases
• Database Systems
• +7 more

Evaggelia Pitoura is a Professor in the Department of Computer Engineering and Informatics at the University of Ioannina, Greece, and a Lead Researcher at the Archimedes Research Unit, ATHENA Research Center. Her work spans data management, distributed systems, and mobile computing, with a strong focus on database personalization and diversity. Her research interests include data diversity, contextual preferences, XML data management, peer-to-peer systems, and mobile computing . She has pioneered work in result diversification, preference-aware querying, and distributed data indexing, publishing extensively in top venues such as PVLDB, ICDE, SIGMOD, and IEEE TPDS. The recent publications highlight a consistent trend in personalized, context-aware database systems , with emphasis on improving user experience through intelligent query processing, recommendation, and efficient data organization in distributed environments. Best Paper Award, SIGMOD 1999 Best Paper Award, PVLDB 2013 She has advised several PhD students, including Georgia Koloniari, Kostas Stefanidis, Marina Drosou, and Konstantinos Semertzidis, who now hold positions in academia and industry. She teaches courses in Databases and Information Retrieval and actively contributes to the academic community through program committee roles in major conferences like ICDE, VLDB, SIGMOD, and WWW. She leads the Distributed Management of Data Group , fostering innovation in scalable and intelligent data systems.

John PaparrizosView profile

Assistant Professor

• Databases
• Data Science
• Machine Learning
• +5 more

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

Zhenjiang HuView profile

Professor

• Programming Languages
• Software Engineering
• Functional Programming
• +7 more

Zhenjiang Hu is a Chair Professor and Dean of the School of Computer Science at Peking University. He serves as Director of the Programming Languages Laboratory and has held significant academic positions including Professor at the National Institute of Informatics and University of Tokyo. BS and MS from Shanghai Jiaotong University (1988, 1991) PhD from University of Tokyo (1996) Lecturer/Assistant Professor at University of Tokyo (1997) Associate Professor at University of Tokyo (2000) Full Professor at National Institute of Informatics (2008) Full Professor at University of Tokyo (2018-2019) Professor Hu's research primarily focuses on programming languages and software engineering, with special emphasis on functional programming, bidirectional transformation, and software adaptation. His work explores transformational programming approaches for automatic program optimization, systematic parallelization of sequential programs, efficient manipulation of structured documents, and bidirectional model transformation for software development. His research has significantly advanced the field of bidirectional programming, developing foundational theories and practical applications that enable more reliable and maintainable software systems. His recent publications demonstrate a strong trajectory in bidirectional programming, program synthesis, and graph processing. The research shows increasing sophistication in handling program transformations, with growing emphasis on practical applications in software engineering contexts. His work increasingly integrates formal methods with practical programming language design, creating systems that maintain theoretical soundness while addressing real-world software development challenges. The research spans multiple venues including top conferences like PLDI, POPL, ICFP, and OOPSLA, reflecting its broad impact across programming language research. Fellow of JFES (Japan Federation of Engineering Society, 2016) ACM Distinguished Scientist (2016) Member of Academia Europaea (2019) IEEE Fellow (2020) Member of Engineering Academy of Japan (2020) Professor Hu actively mentors students and has welcomed excellent candidates to join his group through Peking University's International Elite PhD Program and Boya Postdoctoral Fellowship Program. He serves on numerous program committees for major conferences including PLDI, POPL, ICFP, and OOPSLA, and holds editorial positions for prestigious journals such as Journal of Functional Programming and Science of Computer Programming. His leadership extends to conference organization, having served as PC Chair for CNCC 2024 and General Co-Chair for SoICT 2019. As Director of the Programming Languages Laboratory at Peking University, Professor Hu leads a research team focused on advancing programming language theory and practice. His lab has developed influential frameworks like BiGUL for bidirectional programming and Fregel for graph processing. The laboratory maintains strong international collaborations and contributes to both theoretical foundations and practical implementations in programming languages and software engineering.

Michael EichbergView profile

Professor

• Software Engineering
• Static Analysis
• Software Development Tools
• +3 more

Michael Eichberg is a Professor at Technische Universität Darmstadt, Germany, where his work centers on software engineering, static analysis, programming languages, and secure software development tools. He is the principal architect of the OPAL framework for Java bytecode analysis and has an extensive publication record spanning PLDI, ICSE, ESEC/FSE, ISSTA, ASE, FSE, SOAP, and other premier venues. Research Interests: Static program analysis and its scalability to real-world code bases Software security, particularly cryptographic API misuse and Android app repackaging detection Concurrent and parallel programming models, including deterministic concurrency in Scala Software architecture conformance, drift and erosion detection, and rule reuse Development of open extensible tools and frameworks (OPAL, LectureDoc, QScope, Sextant, XIRC, IRC) Publication Trends: His recent work (2015-2022) demonstrates a strong focus on empirical evaluation of static analysis techniques, modular composition of analyses, and security-related program understanding. Key themes include unsoundness in call graph construction, purity and immutability analyses, parallelization of static analyses, and large-scale studies of cryptographic API misuse. Tools & Frameworks: OPAL – A flexible Java bytecode analysis and manipulation framework (core developer until 2019) LectureDoc 2 – Web-based lecture material authoring and presentation system QScope – Open extensible metrics framework for modern software projects Sextant – Eclipse-integrated software exploration tool XIRC/IRC – Frameworks for enforcing system-wide properties and architectural constraints

• Environmental Geology
• Geotechnology
• Geoenvironmental Studies
• +4 more

Professor Eleni Kokkinou holds a position at the Hellenic Mediterranean University (HMU) as a Professor of Environmental Geology and Geotechnology, with an affiliation to the Institute of Computer Science at FORTH. She earned her Geology degree from Aristotle University of Thessaloniki, followed by a postgraduate diploma and PhD in Applied Geophysics from the Technical University of Crete. Her research focuses on environmental geology, geotechnical studies, geodata modeling, and coastal vulnerability. She has pioneered work in remote sensing for agricultural management, oil spill modeling in the Eastern Mediterranean, and precision agriculture using UAV technology. She has supervised over 73 diploma dissertations, 5 ongoing theses, and examined multiple international M.Sc. theses in Egypt and Cyprus. Teaching includes courses on GIS, geotectonics, and geoscience software at HMU and TEI Crete. She actively contributes to committees like the Research Management Board of HMU and is a licensed UAV pilot with expertise in geophysical prospection. Her work integrates geomatics, environmental monitoring, and civil protection strategies for coastal and marine systems. Key collaborations include Cairo University and the Technical University of Crete. She has developed decision-support systems for irrigation optimization and participated in major projects like the Nereids oil spill risk assessment initiative.

Tsichlas KostasView profile

Associate Professor

• Algorithms and Data Structures for Main and Secondary Memory
• Algorithms and Data Structures in Distributed Environments
• Computational Geometry
• +5 more

Tsichlas Kostas serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece, within the Division of Applications and Foundations of Computer Science. His research spans fundamental and applied computing domains with active involvement in the ML@Cloud laboratory. His expertise centers on algorithmic innovation across multiple dimensions: Memory-optimized algorithms for primary/secondary storage systems Distributed environment data structures and computational geometry Physics-informed computing and complex network analysis Specialized domains including alphanumeric and graph algorithms Recent publication trends (2022-2025) demonstrate concentrated research in historical graph management systems, temporal network analysis, and physics-computing intersections. Key contributions include vertex-centric partitioning strategies, temporal community detection frameworks, and machine learning applications for energy data motif discovery. He maintains active laboratory affiliations with the LARGE-SCALE CLOUD DATA MACHINE LEARNING WORKSHOP (ML@Cloud lab), Combinatorial Algorithms Laboratory, and Distributed Systems and Telematics Laboratory, contributing to Greece's computational research infrastructure.

Arthur Azevedo de AmorimView profile

Assistant Professor

• Programming Languages
• Formal Verification
• Security
• +3 more

Arthur Azevedo de Amorim is an Assistant Professor in the Department of Computer Science at the Rochester Institute of Technology's College of Computing. His research focuses on making software more secure and reliable using techniques based on formal verification, programming languages, and type systems. Previously, he held postdoctoral positions at Boston University and Carnegie Mellon University after completing his Ph.D. at the University of Pennsylvania under Benjamin Pierce and co-advised by Cătălin Hrițcu. His educational background includes undergraduate studies in computer science and engineering at Unicamp and Polytechnique. He is also one of the authors of Software Foundations, an introductory textbook to the Coq proof assistant, and maintains an active blog about Coq. Dr. de Amorim's research spans several critical areas in programming languages and security. His work on cryptographic protocols leverages recent advances in program verification (particularly separation logic) to verify cryptographic protocols. His research on compartmentalization analyzes formal guarantees of techniques for limiting the scope of vulnerabilities in low-level languages like C and C++. These research areas reflect his commitment to bridging theoretical foundations with practical security applications. His recent publications demonstrate strong activity across multiple top-tier conferences including POPL, PLDI, CCS, and ICALP, with research spanning formal verification, secure compilation, differential privacy, and programming language theory. His work consistently combines theoretical rigor with practical applications in security and reliability. Dr. de Amorim has served on numerous program committees for major programming languages conferences including POPL, PLDI, ICFP, and CoqPL, demonstrating his active engagement with the research community. He has also contributed to important educational resources through his work on Software Foundations. He currently advises several graduate students at RIT working on various aspects of programming languages and security. His lab develops multiple open-source software projects including Cryptis (for verifying cryptographic protocols), Deriving (a Coq library for automating class instances), and Extructures (a Coq library of finite data structures).