Sai Krishna Venkata Aditya Kapilavai is affiliated with the Research Area Technical Acoustics at Vienna University of Technology, part of the Faculty of Mechanical and Industrial Engineering. His work focuses on robotics and kinematic analysis of parallel manipulators. Researcher at Vienna University of Technology Specializes in Technical Acoustics and Robotics Research interests include singularity distance computations for parallel manipulators, Stewart-Gough type platforms, and metric-based kinematic analysis. His publications address both intrinsic and extrinsic metric frameworks for robotic systems. Recent publications highlight advancements in singularity analysis for 3-RPR manipulators and linear pentapods, emphasizing computational geometry in robotics. No scientific awards or student advising information are documented in the provided texts. He is associated with the Network Lab and contributes to the Forschungsbereich Technische Akustik research group.
David Garcia is a Professor for Social and Behavioral Data Science at the University of Konstanz, leading the Social Data Science Lab within the Center for Data and Methods. He also holds Associate Faculty status at the Complexity Science Hub Vienna and is a Privatdozent at ETH Zurich. His research integrates Computer Science, Complexity Science, and Social Sciences to address societal challenges like misinformation, democratic decline, and privacy risks. He explores AI's societal impacts, including emergent behaviors in AI agents and ideological expressions in LLMs. Garcia earned his PhD and Habilitation from ETH Zurich, previously serving as a professor at Graz University of Technology before joining Konstanz in 2022. He actively contributes to interdisciplinary initiatives such as the Cluster of Excellence “Politics of Inequality” and the Centre for the Advanced Study of Collective Behavior. Key educational milestones include his Computer Science studies and doctoral work at ETH Zurich (2012 PhD, 2018 Habilitation). His career includes founding the first lab at the Complexity Science Hub Vienna, supported by the Vienna Science and Technology Fund. Garcia’s work emphasizes ethical AI development, computational methods for social analysis, and bridging disciplinary gaps through data-driven approaches. His recent studies focus on NLP quantification of populism in U.S. Congress and AI’s role in polarization. Research interests span misinformation mitigation, collective behavior modeling, and emotional dynamics in digital spaces. Garcia’s funded projects include the Teaching Digital Thinking initiative and analyses of social media’s role in crises. He collaborates with institutions globally, advancing computational social science and policy-relevant insights.
Prof. Hans-Peter Kaul is a Universitätsprofessor (full professor) in Plant Production at the University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on crop management systems, precision agriculture, invasive species control, and sustainable soil management. He leads the iPBAU Plant Production department, with affiliations to bSKO Arbitration Commission and iFTEC Forestry Technology. His work integrates advanced technologies like AI-driven crop modeling and remote sensing with traditional agronomic practices. Key research interests include optimizing nitrogen use in intercropping systems, combating invasive plants like ragweed, and developing climate-resilient crop varieties. He has pioneered studies on energy efficiency in tillage systems and soil health in long-term experiments. His lab (DiLaAg) focuses on digitalization in agricultural sciences, emphasizing data-driven farming solutions. Recent publications emphasize AI applications in agriculture, soil-plant interactions, and crop yield prediction using radiative transfer models. He collaborates on projects like Farm/IT, enhancing farming resilience to climate risks through digital tools. His work addresses both ecological sustainability and agronomic productivity in Central European agroecosystems. Notable contributions include conceptual frameworks for agroecological transformation and studies on weed allelopathy. His research bridges basic plant science with applied farming practices, aiming to improve resource-use efficiency and biodiversity in agricultural landscapes.
Walid Fdhila is a Researcher in the Security and Privacy group within the Faculty of Computer Science, focusing on blockchain applications and process management systems. His technical expertise spans distributed systems, privacy-enhancing technologies, and compliance verification. Research domains include: Blockchain-based audit systems for healthcare Privacy-preserving federated learning Cryptocurrency transaction anonymity Process compliance in decentralized environments Verification of distributed business processes He leads the 'Decentralized Trust in Digital Societies' project and develops applications of distributed ledger technology. Recent work creates frameworks for privacy-aware process execution across organizational boundaries.
Dr. Hamid Montazeri is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), Netherlands. He has been with TU/e since 2020. Prior to this, he completed his MSc in Mechanical Engineering in 2006 and earned his PhD in Building Physics and Wind Engineering from TU/e in 2015. He held postdoctoral fellowships from the Research Foundation Flanders (FWO) at KU Leuven, Belgium, in 2015 and 2018. Education Background: MSc in Mechanical Engineering, 2006 PhD in Building Physics and Wind Engineering, TU/e, 2015 Research Interests: Dr. Montazeri's research focuses on applying aerodynamics and fluid dynamics to urban and building environments. His work includes developing multi-scale models using computational fluid dynamics (CFD) and machine learning to advance renewable energy solutions, such as building-integrated photovoltaics and urban wind energy systems. He is also dedicated to enhancing sustainable urban development through net-zero energy building designs and mitigating climate change impacts on urban microclimates. Recent publications highlight advancements in CFD modeling for spray evaporation, urban wind energy optimization, and climate change impacts on urban environments. His work emphasizes integrating renewable energy systems with building designs and leveraging computational tools for sustainable solutions. Scientific Awards and Recognition: Best PhD/Postdoc Award, Department of the Built Environment, TU/e, 2015 Best PhD Supervision Team Award (with Bert Blocken), 2016 Top-cited paper in Building and Environment (2012-2017), 2017 Advising and Collaborations: Dr. Montazeri has supervised 16 research projects and actively collaborates on editorial boards for journals such as Energy , Building and Environment , and Journal of Wind Engineering and Industrial Aerodynamics .
Dr. Matthias Meier is a Researcher in Computational Materials Physics at the Faculty of Physics. His work focuses on catalysis, material science, and single-atom catalysts, employing advanced computational and experimental techniques to study surface reactions and material properties. Research interests span catalysis, material science, surface physics, and computational modeling, with emphasis on single-atom catalysts, oxide surfaces, and reaction mechanisms. Key areas include polaron effects in catalysis, surface reconstruction phenomena, and adsorption dynamics. Recent publications demonstrate trends in atomic-scale catalyst design, surface characterization of metal oxides, and computational studies of interfacial phenomena. Work consistently integrates spectroscopy, molecular dynamics, and surface science techniques to explore catalytic processes and material behaviors. Currently leads the project 'Advances in Single-Atom-Polaron Catalysis' (2024-2028), investigating novel catalytic systems.
Björn Liljegren-Sailer is a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), part of the Austrian Academy of Sciences (OEAW), and an employee at MathConsult. His research focuses on computational methods for partial differential equations (PDEs), model order reduction, and port-Hamiltonian systems, with applications to gas networks, numerical analysis, and optimization. He holds a PhD in Mathematics from the University of Trier (2020) and a Master of Science in Technomathematics from Friedrich-Alexander-Universität Erlangen-Nürnberg (2015). Dr. Liljegren-Sailer’s work emphasizes structure-preserving numerical methods and system-theoretic approaches. Key contributions include error estimation for model reduction under inhomogeneous conditions, port-Hamiltonian approximations for nonlinear flow problems, and stability-preserving gas transport models. His research bridges theoretical advancements with practical applications in engineering and computational science. Publications span topics like damped wave equations on networks, input-tailored model reduction for quadratic-bilinear systems, and certified reduced basis methods. His work aligns with RICAM’s mission in mathematical data science and optimization, contributing to industrial collaborations through MathConsult. Though no formal awards are listed, his prolific publication record reflects recognition in computational mathematics and applied sciences. He advises no students currently listed but collaborates extensively on interdisciplinary projects.
Samuele Ghizzo serves as a Tutor at the Alpen-Adria-Universität Klagenfurt (AAU), affiliated with the Department of Intelligent Systems Technologies and the Department of Networked and Embedded Systems within the Faculty of Technical Sciences. His research focuses on interdisciplinary areas including robotics, AI applications, multi-agent systems, and sensor networks. He contributes to projects addressing challenges in autonomous systems, environmental complexity, and applied engineering solutions. Recent work highlights include studies on swarm robotics dynamics, automated sorting systems, and radar technology innovations. While no specific awards are listed, his involvement in funded research projects underscores active participation in technical and academic collaborations.
Hans-Jürgen Fercher is a Lecturer at the Alpen-Adria-Universität Klagenfurt, affiliated with the Department of Clinical Psychology, Psychotherapy, and Psychoanalysis, and the Department of Methodology (teaching roles). His research focuses on clinical psychology, psychotherapy methodologies, and quantitative research techniques. He contributes to interdisciplinary projects involving media literacy, educational innovation, and digital transformation. His work spans academic publications in peer-reviewed journals and conference proceedings, addressing topics like online political behavior, swarmalator systems in robotics, and sustainable entrepreneurial ecosystems. Fercher collaborates on EU and national funded projects, including media literacy initiatives and technology-driven solutions for healthcare and education. His teaching emphasizes practical methodologies and evidence-based approaches in clinical and educational settings. Fercher actively engages in academic community-building through workshops and editorial roles in German didactics and interdisciplinary research.
Panos Pardalos serves as the Paul and Heidi Brown Preeminent Professor and Distinguished Professor in the Department of Industrial and Systems Engineering at the University of Florida, where he has maintained continuous academic appointments since 1991. He directs the Center for Applied Optimization at UF, a position he has held since 1994, and previously served as Professor (1996-2005), Associate Professor (1991-1996), and briefly as Full Professor at the Technical University of Crete, Greece (1993-1994). Dr. Pardalos earned his academic credentials from prestigious institutions: B.S. in Mathematics from Athens University, Greece (1977), MS in Mathematics and Computer Science from Clarkson University (1978), and Ph.D. in Computer and Information Sciences from the University of Minnesota (1985). As a pioneer in global and combinatorial optimization, his research spans mathematical programming, parallel computing, telecommunications, data mining, biomedical applications, supply chains, e-commerce, financial engineering, and computational neuroscience. His work bridges theoretical foundations with practical implementations across diverse scientific and industrial domains, establishing him as a leading authority in optimization theory and applications. His scholarly recognition includes the Humboldt Research Award (2018-2019), EURO Gold Medal (2013), and Constantin Caratheodory Prize (2013). International honors include membership in the National Academy of Sciences of Ukraine (2003) and Lithuanian Academy of Sciences (1999), along with multiple honorary doctorates from institutions worldwide. Dr. Pardalos has supervised more than 60 Ph.D. students and over 40 M.S. students while teaching courses ranging from Integer Programming to Data Mining and Complexity Theory. His academic leadership extends to serving as editor-in-chief of the Journal of Global Optimization and editorial boards of more than 40 journals, reflecting his significant influence in the field.
Christine Paulin-Mohring is a Full Professor at Université Paris-Saclay's Faculty of Science since 1997. She previously held a secondment at INRIA Futurs/Saclay Île-de-France (2006-2008), was a CNRS Researcher at ENS Lyon (1989-1997), and an assistant professor at ENS Paris (1985-1989). She earned her PhD in 1989 from Université Paris 7 under Gérard Huet's supervision at INRIA Rocquencourt and ENS Paris. Her research focuses on Program verification Type theory Interactive theorem proving Formal methods Coq proof assistant Randomized algorithms She has developed the ALEA Coq library for randomized programs and led the ProVal research group until 2011. Her award highlights include ACM Software System Award (2013) Doctor Honoris Causa from University of Gothenburg (2011) Prix Michel Monpetit (2015) Academia Europaea membership (2014) She has advised 15 PhD students and coordinated major projects like DigiCosme Labex (2007-2011). Her administrative roles include Dean of the Faculty of Science (2016-2021) and leadership in doctoral schools.
Paul Spirakis is a Full Professor in the Department of Computer Science and Engineering at the School of Engineering, Patras University, Greece. He has served as Department Chairman (1987-1989, 1989-1991, 1991-1993) and Vice-Chairman (1993-1995). Since 1996, he has been Director and senior researcher at the Computer Technology Institute (CTI) in Patras, as well as Director of the Distributed Systems and Telematics Laboratory at Patras University. Education : Ph.D. in Applied Mathematics (Computer Science), Harvard University (1982) S.M. in Applied Mathematics (Computer Science), Harvard University (1979) Electrical Engineering Diploma, National Technical University of Athens (1978) Spirakis is a leading expert in algorithms and complexity, distributed systems design, probabilistic algorithms, and foundational aspects of algorithmic game theory. His work spans performance analysis of computer systems, databases, networks, and telematics applications in education. He has contributed extensively to theoretical computer science through editorial leadership and conference organization. He has led EU projects like AEOLUS (FP6 Global Computing II), FRONTS (FP7 Foundations of Adaptive Networks), and the PENED project on Algorithmic and Evolutionary Game Theory. His honors include election to EATCS Board, a Distinguished Visiting Scientist appointment at Max Planck Informatik, and recognition as a top nurturer in computer science research (SIAM Data Mining, 2005). Key Scientific Awards : EATCS Board membership (1997) Max Planck Distinguished Visiting Scientist (2001) ISTAG advisory group appointment (2003) Top 50 nurturer in Computer Science (2005) Technology Excellence Award (2010) Academia Europaea membership (2010) As a prolific journal editor, he has contributed to the Encyclopedia of Algorithms, LNCS conference proceedings, and journals like Theoretical Computer Science and JPDC. His research leadership includes roles as Conference Chair for STOC 2001, ICALP 2001, and Scientific Chair for SPAA, IPDPS, and WINE conferences.
Maria Teresa Espinal is a Full Professor of Linguistics at Autonomous University of Barcelona since 1999. She is affiliated with the Faculty of Arts and the Department of Catalan Philology, and a member of UAB’s Center for Theoretical Linguistics (CLT). She has held leadership roles including Vice Rector for Research (1994-98), CLT Secretary (2006-07), and CLT Director (2007-10). Her postdoctoral research includes stays at UC Berkeley, Stanford, Utrecht University, and Université Paris 7-CNRS, with invited professorships at UNAM (Mexico) and UNICAMP (Brazil). Bachelor’s in Hispanic Philology (UAB, 1978) MA in Linguistics (University College London, 1981) PhD in Theoretical Linguistics (UAB, 1985) Her research focuses on syntax/semantics and semantics/pragmatics interfaces, particularly in Romance languages (Catalan and Spanish). She explores phenomena like negation, negative concord, idiomatic constructions, bare nominals, and expletive elements. Her work combines formal linguistic theory with experimental methodologies. Her 15 most recent publications (2022-2025) span syntax-semantic interfaces, negation, Romance language comparison, and experimental linguistics. Key themes include Catalan/Spanish negation patterns, diachronic changes in discourse markers, and cross-linguistic analysis of definite/indefinite expressions. Narcís Monturiol medal (Catalan government, 2020) ICREA Academia Award (twice, 2016 and 2010) She has led nationally-funded Excellence Network on Meaning and Grammar and served on multiple national/international research evaluation panels. Her editorial work includes co-editing volumes on negation, linguistic interfaces, and experimental data's role in linguistic theory.
Jonathan Ginzburg is a Professor of Linguistics at the University of Paris, holding a position in the Faculty of Anglophone Studies and the Laboratoire Linguistique Formelle (LLF), a research laboratory under the French National Center for Scientific Research (CNRS). He has been at the University of Paris since 2010, achieving exceptional class professor status in 2020, which represents the highest academic rank in the French system. Prior to this, he served as a Senior Lecturer in the Department of Computer Science at King's College London from 2000 to 2010. His academic journey includes: Habilitation á diriger des recherches, University of Paris 7 (2003) Ph.D. in Linguistics, Stanford University (1987-1992) B.S. in Mathematics (Cum Laude), Hebrew University of Jerusalem, Israel (1985-1987) Ginzburg's research spans multiple interconnected domains within linguistics and cognitive science. His work fundamentally explores how language functions in interactive contexts, with particular emphasis on dialogue structures and pragmatic phenomena. He investigates how laughter and gestures function as linguistic elements within conversation, examining language acquisition processes with focus on question comprehension and development. His theoretical contributions to formal semantics and pragmatics have reshaped understanding of interrogatives and clarification sequences. Through computational linguistics approaches, he develops models that capture the dynamic nature of dialogue, bridging theoretical linguistics with practical applications in dialogue systems. His research integrates empirical data from cross-linguistic studies with formal theoretical frameworks to create comprehensive models of human interaction. Ginzburg's publication record demonstrates a consistent focus on dialogue and interactive language use, with recent work increasingly examining non-verbal elements like laughter as integral components of linguistic communication. His research shows strong continuity in investigating questions and clarification phenomena while expanding into multimodal communication analysis. The cross-linguistic dimension of his work has grown over time, incorporating data from diverse languages to build more universal models of dialogue. His notable recognitions include: Senior Member of the Institut Universitaire de France (2016-2021) Visiting Scholar at Laboratoire de Linguistique Formelle, CNRS Paris (2011-2012) Senior Visitor for EU FP6 Project on Dealing With Uncertainty in Dialogue (2006-2007) Allon Fellowship from the Israeli Inter-University Planning and Budget Committee (1996-1999) Ginzburg has supervised 10 PhD students (7 graduated, 4 in progress) and 4 postdoctoral researchers, with several advisees now holding prominent academic positions. His successful grant acquisition includes the €400,000 DUEL project on "Disfluencies, Exclamations and Laughter in Dialogue" funded by ANR and DFG (2014-2017), and his coordination of three projects within the Laboratory of Excellence LabEx-EFL since 2011. His editorial leadership as Associate Editor of Dialogue and Discourse and Co-Editor of Cambridge Elements in Semantics demonstrates his significant contribution to scholarly communication in his field. As a key figure in the Laboratoire Linguistique Formelle (LLF), Ginzburg leads research on interactive language use, directing projects that investigate dialogue modeling, non-sentential utterances across the lifespan, and laughter in communication. His work connects theoretical linguistics with practical applications through collaborations with researchers across Europe, particularly within the LabEx-EFL network and through international projects like DUEL with Bielefeld University.
Barbara Hammer is a Professor of Machine Learning at the Centre of Cognitive Interaction Technologies (CITEC) , Bielefeld University, Germany. Holding a full professorship since 2017, she previously served as Associate Professor (2004-2010) at Clausthal University of Technology and held guest professorships at institutions including University of Paris Pantheon-Sorbonne. Her academic journey includes research stays at institutions in India, Italy, USA, and UK. Diploma in Mathematics (University of Osnabrück, 1995) PhD and venia legendi in Computer Science (University of Osnabrück, 1999 and 2003) Her research spans machine learning methods for non-vectorial and neuro-symbolic data , with a focus on explainable AI and continual learning. She emphasizes human-centered design principles including cognitive compatibility, fairness, and privacy. Applications include biomedical domains, industrial systems, education, and critical infrastructure. Scientific Honors: ERC Synergy Grant recipient (2021-2027) Lamarr-Fellowship for Artificial Intelligence (2023-2027) Multiple best paper awards and grants from EU, DFG, BMBF, VW-Foundation Leadership roles in IEEE and neural network societies She has co-chaired major conferences like IEEE IJCNN and served on editorial boards of top journals including IEEE Transactions on Pattern Analysis and Machine Intelligence . With over 350 publications and 15+ research grants in recent years, she remains an active academic leader.
