Jostein Gripsrud is an Emeritus Professor in the Department of Information Science and Media Studies at the University of Bergen, Norway. He has held leadership roles including Head of Department (2004–2007) and has been a Professor since 1991. His career includes adjunct professorships at Stavanger University College and visiting fellowships at institutions like the École des Hautes Études en Sciences Sociales (Paris) and UCLA. Education: Dr.philos. (Honorary PhD), University of Bergen (1988) Cand.philol. (Norwegian M.A.), University of Bergen (1979) Research Interests: Focuses on media and the public sphere, media policy, cultural studies, and political communication. His work explores topics like digitalization’s impact on democracy, Scandinavian immigration discourse, and the role of media in shaping societal narratives. Key Publications Trends: Recent works analyze political polarization in Norway, Scandinavian media coverage of immigration, and historical media policy. Earlier research includes foundational studies on television’s role in European democracy and cultural capital dynamics. Awards: 2014 Norwegian Media Association Communication of Knowledge Prize 2001 University of Bergen Meltzer Prize 2011 International Francqui Professorship Research Projects: Includes the SCANPUB project on public discourse and political decision-making in Scandinavia. Labs/Teams: Active in interdisciplinary research networks, particularly in media policy and cultural studies.
Wolfgang Kunz is a Full Professor (C4, W3) and Chair of Electronic Design Automation at the Technische Universität Kaiserslautern since 2001. His academic career spans multiple prestigious institutions, including Goethe-University Frankfurt/Main and the University of Massachusetts, Amherst. He has held leadership roles such as Dean (2005-2007) and Vice-Dean (2007-2009) at TU Kaiserslautern. Habilitation (Dr. rer. nat. habil.), Computer Science, University of Potsdam (1996) Doctoral degree (Dr.-Ing.), Electrical Engineering, University of Hannover (1992) Dipl.-Ing. degree, Karlsruhe Institute of Technology (1989) His research focuses on hardware verification, security, and optimization, particularly in embedded systems and processors. His work on formal verification methods has been commercialized by companies like Synopsys, Mentor Graphics, and Siemens EDA. His 2016-2021 publications address critical security issues such as Spectre/Meltdown and introduce innovative verification frameworks adopted by industry leaders like Infineon and OneSpin Solutions. Scientific awards include the IEEE Fellow (2006), German IT Society Award (2005), and TU Kaiserslautern Distinguished Teaching Award (2016). He has served on editorial boards of major journals and coordinated the Erasmus Mundus European Master Program in Embedded Computing Systems since 2010. Key students: Jörg Bormann, Raik Brinkmann, Tobias Ludwig Collaborations: Siemens EDA, Infineon, AbsInt, Intel SCAP Spin-offs: LUBIS EDA, OneSpin Solutions
Christian Friedrich Wilhelm Becker is a full Professor at the University of Vienna, holding a position within the Faculty of Chemistry and the Department of Biological Chemistry. His research profile shows extensive activity in protein chemistry and biochemistry, with particular focus on post-translational modifications and their implications in disease mechanisms. His work bridges chemical biology, biochemistry, and biomedical applications, contributing significantly to the academic and research landscape at one of Europe's oldest and most prestigious universities. Faculty of Chemistry, University of Vienna Department of Biological Chemistry Active research leader with numerous ongoing projects Significant publication record spanning multiple disciplines Professor Becker's research primarily focuses on protein chemistry, particularly post-translational modifications and their role in protein function and dysfunction. His work spans multiple interconnected areas including ubiquitination, protein aggregation, prion protein behavior, and biomimetic approaches to protein analysis. His research has significant implications for understanding neurodegenerative diseases and developing novel therapeutic approaches. The fingerprint analysis of his work shows strong connections to biochemistry, molecular biology, and chemistry, with particular emphasis on cysteine chemistry, glycosylation, and amino acid modifications. Analysis of Professor Becker's recent publications (2021-2025) reveals a consistent research trajectory focused on protein modification techniques and their biological implications. His work shows increasing sophistication in chemical biology approaches to study protein function, with particular emphasis on ubiquitination pathways and protein aggregation mechanisms. The integration of chemical synthesis methods with biological analysis represents a hallmark of his research approach. His publications span high-impact journals in biochemistry, chemical biology, and peptide science, demonstrating the interdisciplinary nature of his contributions. Professor Becker has received notable recognition for his research contributions, most prominently the Cathay Award in 2020. This award acknowledges his significant contributions to the field of protein chemistry and chemical biology. His work appears to have practical applications in therapeutic development, particularly in the areas of targeted protein degradation and immunotherapy, which likely contributed to this recognition. Cathay Award (2020) Professor Becker leads multiple significant research projects, including 'Targeted protein degradation - from small molecules to complex organelles' (2020-2024), 'Taktira: Development of an improved, low-side-effect and sustainable immunotherapy' (2019-2023), and 'Structure Zoom: Zooming in on protein functional sites with atomic resolution' (2018-2021). These projects demonstrate substantial grant funding and collaborative research efforts across multiple institutions. His active participation in 290 recorded activities through 2025 indicates a highly engaged research program with numerous collaborators and trainees. Targeted protein degradation project (2020-2024) Taktira immunotherapy project (2019-2023) Structure Zoom project (2018-2021) Professor Becker's research environment includes a robust team of collaborators and junior researchers, as evidenced by the numerous co-authored publications and activities. His work intersects with multiple research groups studying protein function, modification, and therapeutic applications. The international collaboration network shown in his profile indicates significant engagement with researchers across multiple countries, creating a dynamic research ecosystem focused on advancing protein science and its biomedical applications.
Matteo Maffei is a Full Professor at TU Wien, leading the Security and Privacy group. He joined in 2017 after 11 years at Saarland University's CISPA. He holds a Ph.D. in Computer Science from Ca’ Foscari University of Venice (2006). He coordinates the TU Wien Cybersecurity Center, the SecInt Doctoral School, and the FWF Special Research Program SPyCoDe. His research focuses on formal methods for security and privacy, blockchain technologies, and web security. Roles: Full Professor, Coordinator of TU Wien Cybersecurity Center, Module Head of Christian Doppler Lab for Blockchain Technologies (CDL-BOT), Board Member of Vienna Cybersecurity and Privacy Research Cluster (ViSP). His work emphasizes formal verification of cryptographic protocols, smart contracts, and decentralized systems. Key achievements include ERC Advanced (2024) and Consolidator (2018) Grants, and leadership roles in conferences like IEEE Computer Security Foundations Symposium (CSF). Research Interests: Formal methods, smart contracts, blockchain scalability, web security, privacy-preserving protocols, and decentralized systems. His recent projects include optimizing Lightning Network channels, secure multi-hop payments, and AI-driven robustness verification. Publications: Over 200 publications in top venues like CCS, IEEE S&P, and CRYPTO. Recent work includes advancements in blockchain interoperability (e.g., Alba bridges), light client protocols (Blink), and neural network verification techniques. Grants & Awards: ERC Advanced Grant (2024), ERC Consolidator Grant (2018), DFG Emmy Noether Fellowship (2009). Led projects funded by EU Horizon, FWF, and industry partners like ABC Research GmbH. Advising & Labs: Supervised over 20 PhD/Master theses. Active in the Christian Doppler Lab for Blockchain Technologies and the SPyCoDe SFB. Collaborates with institutions like SBA Research and Stanford University.
Professor Thomas Lukasiewicz is a Full Professor and Head of the Artificial Intelligence Techniques research group at the Faculty of Informatics, Vienna University of Technology (TU Wien). His research focuses on enabling machines to mimic human-like intelligence through techniques spanning deep learning, symbolic reasoning, and predictive coding. Key areas include explainable AI, hybrid neurosymbolic systems, and applications in healthcare and law. He teaches courses such as Deep Learning for Natural Language Processing, Scientific Research and Writing, and multiple seminars in artificial intelligence and knowledge representation. His research projects include Explainable AI in Healthcare (2023–2027) and foundational work on predictive coding networks. His publications (15+ recent articles) address medical image segmentation, neurosymbolic frameworks, and language model evaluation in mathematics. Notable work includes neurosymbolic hybrid models (CCN⁺), reinforcement learning for medical report generation, and theoretical foundations of predictive coding networks.
Olaf Steinbach is a University Professor (Univ.-Prof.) at the Institute of Applied Mathematics at Graz University of Technology. His academic career spans over three decades with continuous research activity from 1992 to the present, including publications scheduled for 2026. He serves as a project manager for several research initiatives including the Special Research Area (SFB) F90 Computational Electric Machine Laboratory, which runs from 2022 to 2026. Professor Steinbach's research interests primarily focus on Numerical Analysis and Computational Mathematics . His work centers around developing and analyzing advanced numerical methods, particularly Finite Element Methods (FEM) and Boundary Element Methods (BEM), for solving partial differential equations (PDEs) and optimal control problems. His research spans both theoretical aspects (such as error analysis, stability, and convergence) and practical applications (including electric machines, electromagnetics, and biomechanics). He has made significant contributions to space-time finite element methods, which treat time as an additional dimension in the discretization process, leading to more robust and efficient solvers for time-dependent problems. Analysis of his recent publications (2021-2026) reveals a strong focus on optimal control problems governed by partial differential equations, with particular emphasis on elliptic, parabolic, and hyperbolic PDEs. His work demonstrates a consistent pattern of developing robust numerical methods with rigorous error analysis, often incorporating regularization techniques to handle challenging constraints. The applications span computational electromagnetics (particularly electric machines), fluid dynamics, and wave propagation problems. His research increasingly incorporates advanced computational techniques including parallel computing and isogeometric analysis. Professor Steinbach has supervised numerous doctoral students and has been actively involved in organizing academic events, including summer schools on Boundary Element Methods. His collaborative network extends across multiple disciplines and institutions, reflecting the interdisciplinary nature of his work in computational mathematics. His research has been supported through multiple significant projects including DK-W1244 Doctoral Program on Partial Differential Equations, the EU CASOPT project on optimization of industrial devices, and the ongoing Special Research Area on Computational Electric Machine Laboratory. These projects demonstrate his leadership in establishing research frameworks that bridge theoretical mathematics with practical engineering applications. Professor Steinbach maintains an active research group within the Institute of Applied Mathematics, collaborating closely with researchers in computational engineering, electrical engineering, and biomechanics. His work on the Computational Electric Machine Laboratory represents a particularly strong interdisciplinary effort combining mathematical theory with electrical engineering applications.
Xu Jinchao is a Professor of Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST) and the Verne M. Willaman Professor of Mathematics at Penn State University. He has held distinguished roles, including Director of the Center for Computational Mathematics and Applications at Penn State since 1997 and is an Affiliated Faculty member of the College of Information Sciences and Technology at Penn State. His research focuses on numerical partial differential equations (PDEs), multigrid methods, machine learning, finite element methods, and domain decomposition methods. He is renowned for pioneering contributions such as the Bramble-Pasciak-Xu (BPX) preconditioner, Hiptmair-Xu (HX) preconditioner, Xu-Zikatanov (XZ) identity, and Morley-Wang-Xu (MWX) element. His work bridges computational mathematics and machine learning, including the development of MgNet, which unifies multigrid methods with convolutional neural networks. Xu has been recognized with numerous awards, including Fellowships from SIAM, AMS, AAAS, and the European Academy of Sciences. Notable accolades include the 2008 DOE Top 10 Breakthroughs for his HX preconditioner and the 1995 Feng Kang Prize for Scientific Computing. He has organized over 100 conferences and serves on editorial boards of top journals such as Mathematics of Computations and Numerische Mathematik . His leadership includes directing research centers and advancing computational science through collaborative efforts.
Dr. Gabrielle Kremer is a Senior Research Associate and Guest Researcher at the Austrian Academy of Sciences (OeAW), focusing on provincial Roman archaeology with emphasis on the Danube provinces and Gallia Belgica. She has taught at the University of Vienna since 2001 and coordinates interdisciplinary projects on Roman stone monuments, including the Corpus Signorum Imperii Romani Carnuntum series. Her work bridges epigraphy, sculpture analysis, and funerary architecture studies. Research focuses include: Religious practices in Roman provinces Stone monument provenance and reuse Cultural identity in Noricum and Pannonia Interdisciplinary analysis of Roman material culture Monumental grave architecture in the Treveri region Current projects involve the PolychroMon initiative (2023–2025) analyzing polychromy in Roman monuments and the Accommodation/Living in a Sacred Context study. She co-edited multiple international colloquium proceedings and led the "Religion and Society" working group (2017–2020) at OeAW's Institute for Cultural History of Antiquity.
Olivia Constantin is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics. She has been actively publishing since 2008, with research contributions in functional analysis, complex analysis, and mathematical fluid dynamics. PhD in Mathematics (implied by academic position and research output) Her research primarily focuses on operator theory on function spaces, especially Fock and Bergman spaces, and the application of complex analysis to fluid flows. Key areas include Hankel operators, integral operators, embedding theorems, and the analysis of water waves and oceanic gyres. Her work combines deep analytical techniques with applications in fluid mechanics. Recent publications show a strong trend toward using complex-analytic methods to study irrotational flows, traveling water waves, and gyre dynamics, indicating an interdisciplinary approach bridging pure and applied mathematics. Her 2025 paper on velocity extrema in ocean gyre flows highlights ongoing contributions to geophysical fluid dynamics. She has led two research projects: Operatorenklassen (2012–2016) and Analysis of Operators on Spaces of Holomorphic Functions (2017–2019), demonstrating sustained research leadership. Active speaker at academic conferences, with 18 recorded scientific activities including talks from 2008 to 2023 Olivia Constantin collaborates with prominent mathematicians such as A. Aleman, J. A. Peláez, A.-M. Persson, and D. Kalaj. She has not received any explicitly mentioned scientific awards. There is no information about her advising students or managing labs or research teams.
Arthur Lesk is a Professor of Biochemistry and Molecular Biology at Pennsylvania State University since 2003. Previously, he held roles including faculty member at the clinical school of the University of Cambridge (1990–2003), group leader at the European Molecular Biology Laboratory (1987–1990), and professor of chemistry at Fairleigh Dickinson University (1971–1987). He earned a B.A. from Harvard University (1961), Ph.D. from Princeton University (1966), and M.Sc. from the University of Cambridge (1999). His research focuses on bioinformatics, genomics, protein structure, and molecular biology. He has authored 189 scientific articles, 10 books, and has an h-index of 61. Notable works include Protein Science (2021) and Introduction to Bioinformatics (2019). Lesk chairs CODATA’s Biological Macromolecules Task Group and is a Fellow of the AAAS and Royal Society of Biology. He maintains active teaching and research roles, delivering lectures globally. His contributions include advancing protein structure databases and computational methods for molecular biology. Lesk is a Life Member of Clare Hall, Cambridge, and has held visiting positions at universities in New Zealand, Australia, and Europe.
Dirk Praetorius is a Professor of Numerics of Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Wien) , affiliated with the Institute for Analysis and Scientific Computing (ASC) within the Faculty of Mathematics and Geoinformation . He leads the research group on Numerics of PDEs and has held various leadership roles, including Institute Director (since 2020) and head of the Numerics research area. His work focuses on numerical methods for PDEs, including Finite Element Methods (FEM), Boundary Element Methods (BEM), adaptive algorithms, and computational micromagnetics. Education and Career: Praetorius earned his Diplom in Mathematics (2000) and PhD in Applied Mathematics (2003) from TU Wien, followed by a Habilitation in Numerical Analysis (2005). He has been a faculty member at TU Wien since 2005, progressing from Assistant Professor to full Professor in 2017. He has also held visiting positions at institutions such as the University of Jyväskylä and RICAM (Linz). Research Interests: His research spans numerical analysis, adaptive FEM/BEM, a-posteriori error estimation, matrix compression, and computational micromagnetics. He has contributed to modeling spin dynamics, magnetic skyrmions, and multiscale systems. His work emphasizes efficient algorithms for large-scale problems and optimal computational complexity. Awards and Editorial Roles: Praetorius received the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He serves as Senior Editor for Computational Methods in Applied Mathematics (CMAM) and on the editorial board of Applied Numerical Mathematics (APNUM) . He co-founded the outreach initiative TUForMath to promote mathematics education. Grants and Projects: He leads or co-leads several research projects funded by the Austrian Science Fund (FWF), including the collaborative SFB "Taming Complexity in Partial Differential Systems" (2017–2025) and international collaborations with Germany. His work addresses topics like functional error estimates, nonlinear PDEs, and computational design of magnetic devices. Labs and Teams: He contributes to the ASC Institute and coordinates interdisciplinary projects involving computational physics and engineering. His team develops software tools like MooAFEM and Commics for micromagnetic simulations.
Cesare Franchini is a full Professor at the University of Vienna's Faculty of Physics, leading the Computational Materials Physics research group. His work focuses on theoretical understanding and computational modeling of quantum materials using first principles methods, particularly VASP. He maintains an active research program with numerous postdocs, PhD students, and collaborations across multiple institutions including the University of Bologna. Professor Franchini's research centers on quantum materials with many interacting degrees of freedom (lattice, spin, and electron orbital) that enable novel electronic and magnetic phases. His specific interests include metal-insulator transitions, polaron physics (electron-phonon interactions), non-collinear spin orderings, topological Dirac/Weyl phases, multiferroism, and superconductivity. He has increasingly incorporated machine learning data-driven tools and diagrammatic Monte Carlo techniques into his computational approaches. Analysis of his recent publications (2024-2025) reveals a strong focus on polaron physics across multiple material systems, with significant work on hematite, titanium dioxide, and quantum paraelectrics like KTaO3. His research increasingly integrates machine learning with traditional first-principles methods, particularly for studying hydrogen diffusion, surface science phenomena, and electronic structure calculations. There's also substantial work on single-atom catalysis and the application of advanced computational techniques to understand fundamental charge transport mechanisms in energy materials. Professor Franchini actively supervises numerous PhD students and postdocs, including Andrea Angeletti, Viktor Birschitzky, Lorenzo Celiberti, and several others working on diverse aspects of computational materials physics. He leads or participates in major research projects including TACO (Taming Complexity in Materials Modeling), DCAFM (Doctoral College Advanced Functional Materials), and the recently launched Spin-orbit entangled anharmonic polarons project. His group maintains strong collaborations with experimentalists at Charles University, Technical University of Vienna, and other international institutions.
Pierre Colmez is a French mathematician affiliated with the École Polytechnique (1993-2010) and the National Center for Scientific Research (CNRS) at the Institut de Mathématiques de Jussieu since 2010. His academic journey includes postdoctoral positions at the Institut Joseph Fourier (Grenoble) and the Max Planck Institute for Mathematics (Bonn). Ph.D. in 1988 (Grenoble) under Jean-Marc Fontaine and John Coates École Polytechnique: Professor (2006-2010), Teaching Professor (1993-2005) Colmez’s research lies at the intersection of arithmetic geometry , Galois representations , p-adic Hodge theory , and the Langlands program . His work explores connections between automorphic forms, p-adic analysis, and cohomological structures in number theory. His most recent publications focus on p-adic cohomology, Drinfeld towers, and syntomic complexes, reflecting his expertise in advanced topics of nonarchimedean geometry and Galois cohomology . Collaborations with Gabriel Dospinescu and Wiesława Nizioł highlight his contributions to modern arithmetic geometry. Prix Léonid Frank (2016) Aisenstadt Chair (2015) Prix Fermat (2005) Prix Gabrielle Sand et Guido Triossi (1999) Colmez has held editorial roles at Astérisque (1999-2004), directed the SMF Mathematical Documents collection (2001-2016), and served on editorial boards for Annales de l'ENS and Publications de l'IHES . His academic network includes collaborations with Laurent Berger, Christophe Breuil, and Jean-Pierre Serre.
Thomas Jaeger is a Professor of European Law at the University of Vienna’s Faculty of Law, specializing in the Internal Market and Competition within European Commercial Law. He leads the Institute for European, International and Comparative Law and serves as President of the Austrian Society for European Law (ÖGER), a member of FIDE, advocating for Austrian perspectives in EU legal developments. His research spans European Commercial Law, State Aid Law, Media Regulation , and Intellectual Property , with notable publications addressing EU legal frameworks for transport, digital markets, and gambling concessions. Recent lectures focus on state aid challenges, constitutional identity conflicts , and merger control . Jaeger supervises dissertations requiring significant scientific contribution and has organized events like the European Law Roundtable with CJEU and State Aid Law Day . He has held visiting roles at Hannover and Munich universities and previously worked at the Max Planck Institute and UNHCHR .
Lars Nyberg is a Professor of Neuroscience at Umeå University's Medical Faculty and Director of the Umeå Centre for Functional Brain Imaging (UFBI) since 2001. He has held concurrent roles as Guest Professor in Bergen and Oslo, Norway, and led the Wallenberg Centre for Molecular Medicine (WCMM) from 2019. His academic leadership includes directing major initiatives like the EU-funded Lifebrain project (2017–2022) and holding the Torsten & Ragnar Söderberg Research Professorship in Medicine (2012–2017). Education: PhD in Psychology (1993) and Docent (1996) from Umeå University, with postdoctoral training at the Rotman Research Institute, Toronto. His research focuses on neuroimaging techniques (MRI/PET), dopamine systems, working memory, aging, and episodic memory. Key contributions include linking dopamine receptor availability to cognitive decline and demonstrating brain maintenance mechanisms in aging. Research Interests: Neuroimaging of memory systems, dopamine's role in cognition, aging-related brain changes, and cognitive reserve. Grants: EU Horizon 2020 (Lifebrain, €10M), KA Wallenberg Scholarships (2009, 2016), Swedish Research Council funding for COBRA (2013–2017). His awards include Royal Swedish Academy of Sciences membership (2008), Mångbergs Prize in Neural Sciences (2008), and multiple Wallenberg grants. Nyberg has supervised 27 PhD students and 11 postdocs, advancing translational neuroscience and aging research through interdisciplinary teams at UFBI and WCMM.
