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Christos MakrisView profile

Associate Professor

• Data Structures
• Information Retrieval
• Data Mining
• +5 more

Christos Makris is an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece. His academic career spans over two decades with significant contributions to computer science, particularly in data structures, algorithms, and information systems. He maintains active research collaborations and supervises graduate students in his areas of expertise. Dr. Makris's research spans several key areas in computer science with a strong focus on efficient data organization and processing. His work encompasses Data Structures , Information Retrieval , Data Mining , String Management and Processing Algorithms , Computational Geometry , Internet Technologies , Bioinformatics , and Multimedia Databases . His interdisciplinary approach bridges theoretical computer science with practical applications across various domains including web technologies, bioinformatics, and emergency response systems. Analysis of Dr. Makris's publication record reveals a consistent research trajectory focused on efficient algorithms for information management. His work demonstrates evolution from foundational data structure research in the 1990s to more applied work in web technologies, social media analysis, and machine learning applications in recent years. A notable pattern is his ability to adapt core algorithmic techniques to emerging application domains while maintaining theoretical rigor. Dr. Makris maintains an impressive scholarly record with over 3,000 citations, an h-index of 29, and an i10-index of 71 according to Google Scholar metrics. These indicators reflect the significant impact of his research within the computer science community. As an active faculty member, Dr. Makris maintains regular office hours on Tuesdays from 18:00-20:00 and Thursdays from 12:00-14:00. He is accessible via email at makri@ceid.upatras.gr or makri@upatras.gr for academic inquiries and student supervision.

Todd MillsteinView profile

Professor

• Network Verification
• Programming Languages
• Probabilistic Programming
• +3 more

Todd Millstein is a Professor in the Computer Science Department at the University of California, Los Angeles (UCLA). He served as the Computer Science Department Chair from 2022-2025 and is also an Amazon Scholar. His research focuses on making software systems more reliable through programming languages techniques, with significant contributions to network verification and probabilistic programming. Millstein received his Ph.D. from the University of Washington Department of Computer Science, where he was a member of the Cecil group led by Craig Chambers. Prior to that, he completed his undergraduate studies at Brown University under the guidance of Paris Kanellakis and Pascal Van Hentenryck. Millstein's research spans several areas of programming languages and systems with a focus on reliability. He has made significant contributions to network verification, developing the Batfish network configuration analyzer which is now managed by Amazon Web Services and forms the basis of Oracle Cloud's Network Path Analyzer. His work has been recognized with the ACM SIGCOMM Networking Systems Award in 2025. He also works on interactive program verification through lemma synthesis and scalable reasoning methods for probabilistic programming languages. His research bridges programming languages theory with practical systems challenges, as highlighted in his SPLASH/OOPSLA 2024 keynote "Everything is a Program (even if it's not)". Millstein's recent publications demonstrate a consistent focus on verification and reliability across multiple domains. His work shows a progression from foundational programming language techniques to practical applications in networking and probabilistic systems. Key themes include data-driven approaches to program analysis, synthesis of verification artifacts, and applying programming languages techniques to non-traditional domains like network configuration. Millstein's scientific achievements have been recognized with numerous prestigious awards including an NSF CAREER Award, an ACM SIGPLAN Most Influential PLDI Paper Award, an ACM SIGCOMM Networking Systems Award, IEEE Micro Top Picks selection, best-paper awards from PLDI, OOPSLA, and SIGCOMM, a Microsoft Research Outstanding Collaborator Award, an Okawa Foundation Research Grant, an IBM Faculty Award, and a Facebook Research Award. He has also received both the Northrop Grumman Excellence in Teaching Award (for junior faculty) and the Eon Instrumentation Inc. Excellence in Teaching Award (for senior faculty) from UCLA Engineering. Millstein advises several Ph.D. students including Ana Brendel, Poorva Garg (co-advised with Guy Van den Broeck), Rajdeep Mondal (co-advised with George Varghese), and Rathin Singha (co-advised with George Varghese). His research has been supported by various grants including an NSF CAREER Award, Okawa Foundation Research Grant, IBM Faculty Award, and Facebook Research Award. He has also been a Co-Founder and Chief Scientist of Intentionet, which was later acquired by Amazon Web Services. Millstein is actively involved in the Batfish project, an open-source network configuration analyzer that has had significant practical impact. Batfish is now managed by AWS, powers Oracle Cloud's Network Path Analyzer, and is used by dozens of companies. His research group continues to work on network reliability, developing techniques for scalable BGP policy verification and behavioral testing of protocol implementations.

Heather MillerView profile

Assistant Professor

• Distributed Systems
• Concurrent Programming
• Programming Languages
• +4 more

Heather Miller is a tenure-track Assistant Professor in the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. Her academic journey includes prior roles as an Assistant Clinical Professor at Northeastern University's College of Computer and Information Science and as Executive Director of the Scala Center at EPFL. Miller's research centers on distributed and concurrent computation through the lens of programming languages, with particular emphasis on data-centric systems, big data processing, and edge computing. A defining theme throughout her work is composability - enabling construction of complex distributed systems through composition of components that are correct by construction. Her projects span distributable closures, flexible serialization techniques, futures and promises for asynchronous programming, and deterministic concurrent dataflow models. Her recent publications demonstrate strong trends in applying programming language theory to practical distributed systems challenges, with increasing focus on WebAssembly instrumentation, microservice resilience, and language model pipelines. This evolution reflects her commitment to bridging theoretical foundations with real-world system requirements. Dahl-Nygaard Junior Prize (2023) Mentorship forms a significant component of Miller's academic work. She actively supervises multiple PhD, MS, and undergraduate researchers at CMU, including Christopher Meiklejohn, Matthew Weidner, Huairui Qui, Ria Pradeep, and Luke Dramko. Her service contributions span numerous top-tier conferences including PLDI, SPLASH, ECOOP, and ICSE where she has served as committee member, chair, and keynote speaker. Miller co-founded the Curry On conference to foster industry-academia dialogue, hosting successful editions in Prague, Rome, Barcelona, Amsterdam, and London. She leads research groups focused on distributed programming models and maintains strong industry connections through Two Sigma, where she holds an affiliation. Her work consistently emphasizes practical open-source implementations, primarily within the Scala ecosystem where she's been a core contributor since 2011.

Nikos GiatrakosView profile

Assistant Professor

• Big Data Management
• Internet of Things (IoT)
• Distributed Systems
• +3 more

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.

Ioannis StamelosView profile

Professor

• Software Engineering
• Open Source Software
• Software Effort and Quality Estimation
• +7 more

Ioannis Stamelos is a Professor of Software Engineering at the School of Informatics, Aristotle University of Thessaloniki (since 2015, research/teaching staff since 1997). He serves as Director of the Postgraduate Master Course in Interactive Hardware & Software Technologies. Major Research Areas: Open Source Software, Software Effort/Quality Estimation, Agile Methods, Enterprise Information Systems Key Projects: Deep Blue/AUTH Research Hub (2018-2022), BlockAdemic (blockchain-based micro-credentials), European Commission Open Source Policy Studies Research Trends from recent publications include: Process mining in library information systems Reusability metrics for software assets Bayesian networks in software project management Impact of design patterns on gaming software defects Technical debt assessment via structural metrics Blockchain applications in supply chain management Scientific Awards: Best Paper Award at IEEE DEST’09 Best Student Paper Award at ICSR 2012 Best Paper Award at QUATIC2012 Education & Leadership: PhD in Computer Science (1988), Diploma in Electrical Engineering (1983). Led numerous EU-funded projects (IST, ERASMUS, FP7) and national initiatives (ΓΓΕΤ, ΕΠΕΑΕΚ). Supervised PhD/MSc students in software reuse, OSS quality, and agile practices.

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

Isambo KaraliView profile

Assistant Professor

• Knowledge Representation and Reasoning with Uncertainty
• Artificial intelligence
• Logic Programming
• +10 more

Isambo Karali is an Assistant Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, a position she has held since November 2007. Prior to this, she served as a Lecturer at the same department from September 1999 to November 2007. Her academic career spans over three decades with significant contributions to knowledge representation, uncertainty reasoning, and semantic web technologies. Dr. Karali's educational background includes: PhD in Informatics (1995) from the University of Athens MSc in Computer Science (1988) from University College, University of London Bachelor of Mathematics (1986) from the Department of Mathematics, University of Athens Dr. Karali's research focuses on Knowledge Representation and Reasoning with Uncertainty, Artificial Intelligence, Logic Programming, and Object-Oriented Programming. She has made significant contributions to applying Dempster-Shafer theory for handling uncertainty in Semantic Web applications. Her work bridges theoretical foundations of logic programming with practical applications in knowledge representation, particularly in distributed and heterogeneous environments. She has supervised numerous PhD and master's theses in these areas. Her recent publications demonstrate a strong trend toward integrating uncertainty reasoning with Semantic Web technologies, particularly using Dempster-Shafer theory and fuzzy logic. Her work addresses challenges in managing imprecise and uncertain information in large-scale knowledge systems, with applications in recommendation systems, news analysis, and semantic search. The interdisciplinary nature of her research connects artificial intelligence, knowledge representation, and web technologies to solve complex information management problems. Dr. Karali has been actively involved in research funding and collaboration: Principal Investigator for "Handling uncertainty in data intensive applications on a distributed computing environment (cloud computing)" under the "Thalis" Program Scientific Responsible for "Artificial Intelligence and Logic Programming Techniques for Knowledge on the World Wide Web" at the National and Kapodistrian University of Athens Scientific Responsible for "Semantic Web and Logic Programming - Application to Guided Search" at the National and Kapodistrian University of Athens Participant in multiple EU research projects including MISSION, COSMOS, ADDSIA, PARACHUTE, APPLAUSE, and EDS As an educator, Dr. Karali has taught core undergraduate courses including Object-Oriented Programming and Logic Programming, as well as graduate courses on Knowledge Technologies and Artificial Intelligence. She has supervised numerous PhD and master's students, with a focus on uncertainty reasoning, semantic web technologies, and logic programming applications. Her mentorship extends to student competitions, including guiding the Department's team in the Microsoft ImagineCup 2009. Dr. Karali has also contributed to the academic community through service activities, including membership on program committees for conferences like IEEE ICTAI, reviewer for prestigious journals, and organizational roles in academic events. From 2000 to 2012, she was responsible for the Department's website, contributing to its architecture design and system development.

Angelos AlexopoulosView profile

Assistant Professor

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +4 more

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

Diego GarbervetskyView profile

Associate Professor

• Static Analysis
• Dynamic Analysis
• Reverse Engineering
• +7 more

Diego Garbervetsky is an Associate Professor at the Computer Science Department, School of Sciences, University of Buenos Aires, and a Researcher at ICC/CONICET. He also serves as Director of the Institute of Research in Computer Sciences (ICC). His academic career spans software engineering, programming languages, and formal methods with a focus on program analysis and verification. His research interests include: Static and dynamic program analysis Reverse engineering and compiler optimizations Program understanding and validation Testing and verification of programs featuring rich protocols Automatic symbolic resource analysis (gas consumption, dynamic memory, energy, etc.) Garbervetsky's recent work focuses on smart contract analysis and verification, particularly for Solidity on Ethereum blockchain. His research bridges theoretical program analysis with practical applications in security-critical domains. He has developed several tools including Contractor for behavior validation, JConsume2 for heap memory analysis, and BudaPest for automated software verification. His scientific contributions have been presented at top-tier conferences including ICSE, FSE, ISSTA, and PLDI. Garbervetsky has served on numerous program committees for major software engineering conferences and has advised multiple PhD and undergraduate students through their research.

Costas VassilakisView profile

Professor

• Information systems
• Semantic web technologies
• Service-oriented architectures
• +4 more

Costas Vassilakis is a Professor in the Department of Informatics and Telecommunications at the University of Peloponnese, serving as Dean of the Faculty of Economics and Technology since 2019. He holds a PhD from the University of Athens (1995) and has held academic roles since 2005, including Associate Professor and Visiting positions. His research focuses on information systems, semantic web technologies, and cultural informatics, with contributions to projects like Virtual Museums and SmartGov. He leads initiatives in digital cultural heritage, cybersecurity, and smart agriculture. Notable projects include Experimedia Blue for personalized cultural experiences and Cyber-Trust for IoT security. Active in teaching, he has instructed courses on operating systems, software engineering, and real-time systems. He contributes to academic governance, including roles in the University Council and strategic planning units. His work bridges technology and cultural preservation, emphasizing interdisciplinary innovation. Education: PhD in Informatics, University of Athens (1995); MSc equivalent in Informatics, University of Athens (1990). Research Interests: Focuses on recommenders systems, collaborative filtering optimization, cybersecurity frameworks, and AI applications in agriculture. Active in cultural heritage digitization, museum technologies, and VR systems. Recent Projects: Includes TripMentor (tourism platform), PaloAnalytics (market analytics), and Rehabotics (rehabilitation robotics). Leads EN.I.R.I.S.S.T., a national infrastructure for maritime and logistics research. Awards: No explicit awards listed, but recognized through extensive project leadership and academic roles.

Dominik HelmView profile

Professor

• Program Analysis
• Static Analysis
• Call Graph Algorithms
• +5 more

Dominik Helm serves as an interim professor at the University of Duisburg-Essen and is a researcher at the Software Technology Group, Technical University of Darmstadt since 2018. He holds a Dr.-Ing. degree and serves as the lead maintainer of the OPAL static analysis framework. Helm is also affiliated with ATHENE (National Research Center for Applied Cybersecurity) and CRISP, where he contributes to cybersecurity research focusing on 'Security at Large' for comprehensive systems. Dr. Helm's research centers on modularization and automatic parallelization of collaborative static analyses to improve precision, soundness, and performance. His work specifically targets the OPAL framework for Java VM bytecode, with expertise spanning purity and immutability analyses, modular call graphs, and bug/security vulnerability detection. His research bridges theoretical foundations with practical implementation, addressing real-world challenges in static analysis. His publication record shows consistent contributions to top-tier conferences (PLDI, ISSTA, ESEC/FSE, ASE) with recent work focusing on cross-language analysis, modular call graph algorithms, and evaluation of static analysis precision. Helm has demonstrated particular interest in making static analysis more practical through modularity and parallelization. As an educator, Helm teaches courses including Software Engineering, Type Systems, Quality Assurance, and Program Analysis at the University of Duisburg-Essen. He has supervised multiple student teams through bachelor and master projects, guiding research on call graphs for dynamic languages, IDE solvers, alias analysis, and immutability analysis. Dr. Helm actively contributes to the academic community through program committee service for ICSE, ISSTA, ASE, and other major conferences. His work with the OPAL framework represents a significant contribution to the static analysis community, providing a platform for developing and composing modular analyses for Java bytecode processing and analysis.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +11 more

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Sebastian ErdwegView profile

Professor

• Programming Languages
• Software Engineering
• Incremental Computation
• +7 more

Sebastian Erdweg is a Professor at the Institute of Programming and Software Engineering at Johannes Gutenberg University Mainz (JGU Mainz) in Germany. He actively contributes to the programming languages research community as evidenced by his extensive involvement in major conferences including PLDI, ECOOP, SPLASH, and ICFP. His leadership roles include serving as Workshops Co-Chair for ECOOP and ISSTA 2023, Steering Committee Chair for GPCE, and various program committee positions across multiple conferences. His research primarily focuses on programming language design and implementation, with particular expertise in incremental computation, Datalog-based systems, abstract interpretation, and language workbenches. Erdweg's work bridges theoretical foundations with practical applications in static analysis, compiler construction, and program transformation. His research demonstrates a consistent thread of improving developer productivity through better language design and tooling, with recent work emphasizing efficient incremental program analysis techniques. Erdweg's publication record shows a strong emphasis on Datalog as a foundation for program analysis, with increasing focus on incremental techniques and WebAssembly analysis in recent years. His work combines theoretical rigor with practical implementation, often resulting in open-source tools that advance the state of the art in language engineering. The consistent appearance of Datalog, incremental computation, and abstract interpretation across his publications indicates a cohesive research vision spanning over a decade. As an active member of the programming languages community, Erdweg has served in numerous organizational roles including Workshops Co-Chair for ECOOP and ISSTA 2023, Steering Committee Chair for GPCE, and various program committee positions. His contributions to conference organization demonstrate his standing within the academic community and commitment to advancing research in programming languages and software engineering.

• Object-Oriented Programming
• Smart Mobile Applications
• User-Computer Interface Design
• +2 more

Efthimios Alepis is an Associate Professor at the Department of Informatics, University of Piraeus. He holds a PhD in Computer Science from the same university (2009). His academic progression includes positions as Lecturer (2010), Assistant Professor (2013), and Associate Professor (2020). He teaches extensively at the postgraduate level and serves on the Board of Directors of the Hellenic Open University since 2012. His research focuses on object-oriented programming, mobile device applications, interface design, educational software, and Android security. Dr. Alepis has authored/co-authored over 90 scientific publications in journals, conference proceedings, and book chapters. He is actively involved in academic governance, contributing to teaching and learning committees. Office hours are available upon prior email arrangement between 13:00-18:00.