Professor Yi Lyu is a faculty member at the Department of Hepatobiliary Surgery, College of Medicine, Xi’an Jiaotong University, with extensive leadership roles including Vice President of the university and Director of the First Affiliated Hospital. His research bridges hepatobiliary surgery, magnetic surgery, and biomedical engineering, focusing on innovative surgical devices and transplantation immunity. Bachelor's, Master’s, and Doctorate in Clinical Medicine and General Surgery from Xi’an Medical College Postdoctoral training in Surgery at Nippon Medical School Hospital, Tokyo His research interests span hepatobiliary surgery, magnetic surgery applications, cancer therapy, transplantation immunity, and biomedical engineering. Recent work emphasizes magnetic devices for vascular reconstruction during liver transplantation and immunomodulation via nanotherapeutics. Article trends reflect a strong focus on magnetic surgical technologies (6/15), cancer-related applications (4/15), and immune/gut microbiome interactions (3/15). High-impact publications (IF >15) include work on nanotherapeutics for muscle regeneration and catalytic systems in alkaline seawater. 2023 : Editor-in-Chief of Magnetic Medicine , National Key R&D Program grant (￥12M) 2022 : National Teaching Achievement Award, Annals of Surgery publications 2018 : Chinese Medical and Technology Award, NSFC Project grant 2015 : Ministry of Education Technology Invention Award
Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Vienna), affiliated with the E101-Institute for Analysis and Scientific Computing. His academic journey includes roles at universities in Berlin, Konstanz, Mainz, and Vienna since 1991. He specializes in mathematical analysis of cross-diffusion systems, entropy methods, semiconductor models, and quantum fluid dynamics. Notable achievements include an ERC Advanced Grant (2021) and the Tsungming-Tu Award (2011). Research focuses on nonlinear PDEs with applications in physics, engineering, and biology, emphasizing rigorous existence theory, numerical methods, and entropy-based approaches. Recent projects include 'Emerging network structures and neuromorphic applications' and 'Taming complexity in partial differential systems.' His teaching includes courses on partial differential equations, calculus of variations, and computational finance. Publications span over 200 works, with key contributions on cross-diffusion models, quantum hydrodynamics, and energy-transport systems. He has supervised numerous PhD students and collaborates internationally on topics like semiconductor simulations and stochastic interacting particle systems. Grants include an FWF Special Research Programme and ERC funding.
Katharina Kaltenbrunner serves as an Associate Professor in Business Administration at the University of Salzburg (Paris Lodron Universität Salzburg), where she maintains an active research profile with publications extending through 2025. Her institutional affiliation is evident from her university email address (Katharina.Kaltenbrunner@plus.ac.at) and ORCID profile. Her research interests focus on nonprofit marketing, blood donation behavior, partnership capabilities, disaster management, and volunteer tourism. Kaltenbrunner's work examines how dynamic partnership capabilities influence blood donation behavior, with particular attention to organizational context variables and emotional appeals through electronic word of mouth (e-WOM). She investigates how strategic relationships between blood donors and donation agencies can be optimized, and extends this research framework to areas like volunteer tourism and disaster management. Her recent publications demonstrate a strong focus on blood donation systems and partnership dynamics, with multiple publications in 2025 addressing these themes from different methodological angles. This research trajectory shows consistent development from her earlier work on disaster management exercises like Taranis 2013. Her scientific recognition includes: Best Paper Award (2024 with Stötzer) Best Paper Award (June 25, 2025 with Scheibmayr) Best Reviewer Award (March 23, 2018) Leopold-Kunschak Wissenschaftspreis 2009 (April 17, 2009) Maria Schaumayer Anerkennungspreis (2020) Kaltenbrunner has led significant research projects including 'Individual and organizational determinants of multiple blood donation' (2018-2024) as Project Manager, and 'Administrative evaluation of the international disaster management exercise Taranis 2013' (2012-2013). Her academic activities are extensive, with 78 recorded activities including 49 presentations, 12 event organizations, and 9 committee memberships spanning from 2005 to 2025. Her research has practical applications in public health campaign design, nonprofit management, and disaster response coordination, with evidence of ongoing collaborations with researchers like Scheibmayr and Stötzer across multiple publications and presentations.
Fajar Juang Ekaputra is a Tenure Track Assistant Professor at the Institute of Data, Process, and Knowledge Management (DPKM), WU Vienna and a part-time Postdoctoral Researcher at the Data Science research unit, TU Wien . With a focus on Semantic Web , Knowledge Graphs , and their integration with Machine Learning in Neurosymbolic AI systems, his work spans domains like Cyber-Physical Systems and Materials Engineering . Education: Dr.techn. (2018), TU Wien M.T. (2010) and S.T. (2008), Institute Teknologi Bandung (ITB) Research Interests center on hybrid AI systems combining Semantic Web and Machine Learning , with applications in Cyber-Physical Systems (e.g., smart grids, smart buildings), data privacy in smart cities, and materials engineering . His 102+ publications include frameworks like SWeMLS-KG and SHACL4Protege . Recent Articles (2024) address explainable AI in cyber-physical systems, privacy trust in data infrastructures, and neurosymbolic frameworks . Earlier works (2023–2022) explore ontology-based data management , auditable AI , and hybrid system architectures . Scientific Awards: Best Paper Awards (ICoDSE 2023, ICoDSE 2016) Best Poster Nomination (SEMANTiCS 2019) PhD Scholarship (Austria’s Agency for Education and Internationalisation, 2012) Advising includes supervising PhD students (e.g., Majlinda Llugiqi, Katrin Schreiberhuber) and master’s theses on topics like knowledge graph characteristics and data quality assessment . He leads projects such as FAIR-AI (FFG-funded, 2024–2026) and SENSE (Horizon Europe, 2023–2025).
Rafał Weron is a Full Professor at Wrocław University of Science and Technology, where he has held leadership roles since 2015, including Head of the Department of Operations Research and Business Intelligence and Chairman of the Scientific Discipline Council for Management and Quality Sciences. His expertise spans electricity price forecasting, computational economics, and risk management, with significant contributions to probabilistic forecasting methods. As a globally recognized scholar, he has received prestigious awards such as the Hugo Steinhaus Prize (2018) and the Tao Hong Award (2017). Key Affiliations : Wrocław University of Science and Technology; Polish Academy of Sciences (Statistics and Econometrics Committee); Polish Mathematical Society. Research Trends: Weron's work focuses on electricity price forecasting, leveraging machine learning and statistical models to enhance accuracy and reliability. His publications emphasize probabilistic forecasting frameworks, quantile regression, and hybrid modeling techniques, reflecting a commitment to methodological rigor and practical applications in energy markets. Scientific Awards: Top 1% globally ranked economist (IDEAS/RePEc, 2013-2022) World's Top 2% Most Widely Cited Scientist (2019-2021) 'Hugo Steinhaus' Prize (2018) Tao Hong Award (2017) Emerald Citation of Excellence (2017) Minister of Science & Higher Education Prize (2016) Commission of National Education Medal (2016)
Felix Otto is a Professor and Director at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) since 2010. Previously, he held Full Professorships at the University of Bonn (1999–2010) and the University of California, Santa Barbara (1998–1999). His research focuses on applied mathematics, including micromagnetics, coarsening dynamics, stochastic homogenization, and hydrodynamic limits. He has received prestigious awards such as the Gottfried Wilhelm Leibniz Prize (2006) and the Max Planck Research Prize (2001). Education: 1993 PhD in Mathematics (advisor S. Luckhaus), University of Bonn 1990 Diploma in Mathematics (advisor G. Dziuk), University of Bonn Research interests emphasize the interplay between analysis, probability, and physics, particularly in understanding complex systems through rigorous mathematical methods. His work on gradient flows and optimal transport has led to foundational contributions in applied mathematics. Awards: Collatz Prize (2007) Membership in Berlin-Brandenburg Academy (2014) Leopoldina Academy (2008) Professional activities include roles as Editor of Archive for Rational Mechanics and Analysis and advisory roles at institutions like the Weierstrass Institute and Fondation Mathématique Jacques Hadamard.
Prof. Dr. Thomas Franosch is a Full Professor of Theoretical Physics at the Universität Innsbruck, Department of Theoretical Physics. His research focuses on transport phenomena in complex systems, including crowded and disordered media, active matter, non-equilibrium systems, and the glass transition. He leads the Bio and Nano Physics research group and has held academic positions at institutions such as Friedrich-Alexander-Universität Erlangen-Nürnberg and Ludwig-Maximilians Universität München. His career includes a PhD from TU München (1996) and postdoctoral research at Harvard University (1998-2000). He has contributed extensively to understanding dynamics in confined colloidal systems, mode-coupling theories for glass transitions, and active particle dynamics. His work bridges theoretical frameworks with applications in soft matter and biophysics. Research interests emphasize time-dependent nonlinear response, anomalous transport, and the interplay between geometry and dynamics in confined environments. Recent publications explore light-induced caging effects in colloids, Anderson localization in fluctuating media, and stochastic dynamics of active particles. Publications span over two decades, with a focus on theoretical models explaining complex fluid behavior. Notable contributions include studies on confined hard-sphere fluids, Lorentz gas models, and active matter systems. His work frequently employs advanced simulation techniques and mode-coupling theory to analyze non-equilibrium phenomena.
Timo Fleischer is an Associate Professor in the Chemistry Didactics Working Group at the University of Salzburg, affiliated with both the Faculty of Natural and Life Sciences and the School of Education. He leads key educational innovation projects including EXBOX-Digital, ChemGerLab-VR, and RECC Salzburg, and plays a significant role in digital science education development. Education: Bachelor of Science in Geography and Chemistry, University of Kiel (2011) Master of Education in Geography and Chemistry, University of Kiel (2013) PhD in Science Education, TUM School of Education (2017) Habilitation in Chemistry Didactics, University of Salzburg (2024) His research focuses on the effectiveness of digital media in teacher education and chemistry classrooms, the development of digital teaching and learning materials, and the integration of experimentation and modeling in science education. He is particularly interested in how digital tools support the learning of chemical language and representations. His work bridges educational theory and practical classroom innovation. His recent publications demonstrate a strong emphasis on digital scaffolding, augmented and virtual reality in chemistry labs, eye-tracking during experiments, and the use of fiction as an anchor in science teaching. These works reflect a trend toward immersive, technology-enhanced, and student-centered learning environments in science education. Scientific Awards: Ehrenurkunde Polytechnik-Preis 2022 – Projekt EXBOX-Digital Kulturfondspreis 2020 für das Projekt MINT:labs Science City Itzling Comenius-EduMedia-Siegel für EXBOX-Digital (2020) Qualitätslabel „Regional Educational Competence Centre“ (RECC) (2018–2021) Junior-Fellowship, Kolleg Didaktik:digital (2016–2017) Timo Fleischer has supervised various research projects and collaborated with numerous colleagues and students, though specific advisees are not listed. He has secured recognition and funding for initiatives such as EXBOX-Digital and MINT:labs, indicating successful grant acquisition. He is actively involved in teacher training, curriculum development, and science communication. He leads several innovative labs and teams, including ChemGerLab-VR (a virtual reality chemistry lab), EdTechAll, and the development of MINT:labs Science City Itzling. These initiatives focus on creating digital, hands-on, and inclusive science learning environments for both students and teachers.
Matthias Bertsch is a faculty member with expertise spanning musical acoustics, medical acoustics, and ethnomusicology. His work bridges musicology, biomedical engineering, and clinical applications. Academic leadership in structured doctoral programs Research on brass instrument mechanics and NICU sound environments Interdisciplinary focus on music-physiology and psychoacoustics Research Interests: Specializing in the acoustic properties of musical instruments, therapeutic sound applications for premature infants, and physiological analysis of brass players. His work combines empirical measurement with clinical and cultural implications. Article Trends: Publications emphasize brass instrument biomechanics , incubator sound optimization , and music's physiological effects , with recurring themes in virtual acoustics and interdisciplinary methodologies.
Josef Strobl is an Associate Professor at the Department of Geoinformatics , Paris Lodron University of Salzburg. With over 40 years of research activity (since 1982), he has produced 168 publications and participated in 51 projects. His work focuses on GIScience, spatial data infrastructure, remote sensing, and environmental engineering applications. Education : Not explicitly detailed in the text Research Interests : Geospatial technologies, data sharing frameworks, climate action support, hydrological modeling, and interdisciplinary applications in Central Asia Recent Publications (2021-2025) demonstrate expertise in geospatial ecosystems, water resource analysis, disease monitoring, and educational frameworks using GIS technologies across multiple domains including climate science, health geography, and regional development. Scientific Awards Christian-Doppler Preis (1989) Ehrenzeichen des Landes Salzburg (2018) Erasmus+ Botschafter (2022) Kulturfonds Salzburg Kinder- und Jugendprojektpreis (2020) Lifetime Achievement Award (2023) Leadership Roles include membership in the European Academy of Sciences and Arts (since 2021), full membership in the Austrian Academy of Sciences (since 2010), and organizing major conferences like GISCA 2024-2025. He contributes to editorial activities and peer review processes.
Christoph Dellago is a full Professor of Computational Physics at the Faculty of Physics of the University of Vienna, where he has been a faculty member since 2003. He currently serves as Director of the Erwin Schrödinger Institute for Mathematics and Physics, Head of the Computational and Soft Matter Physics Group, and Project lead of EuroCC Austria - National Competence Centre for Supercomputing. Previously, he served as Dean of the Faculty of Physics (2009-2012) and Coordinator of the Doctoral College Advanced Functional Materials (DCAFM). Full Professor, Faculty of Physics, University of Vienna (2003-present) Director, Erwin Schrödinger Institute for Mathematics and Physics (2017-present) Head, Computational Physics and Soft Matter Group (2024-present) Coordinator, Doctoral College Advanced Functional Materials (DCAFM) Austrian Representative, Council of CECAM Dellago received his PhD in Physics from the University of Vienna in 1996, followed by postdoctoral research at UC Berkeley as a Schrödinger Fellow of the Austrian Science Foundation. His research focuses on developing computational methods to study rare events in condensed matter systems, particularly transition path sampling methodology for simulating nucleation, chemical reactions, and biomolecular reorganizations. He has pioneered the application of machine learning to molecular structure recognition and potential energy surfaces. Recent work examines self-assembly of nanocrystals, biopolymer folding, aqueous interfaces, phase separation in alloys, thermo-polarization, cavitation, and freezing phenomena. Analysis of Dellago's recent publications (2023-2025) reveals a strong emphasis on machine learning applications in computational physics, particularly neural network potentials for simulating water interfaces, crystal defects, and phase transitions. His work bridges traditional statistical mechanics with modern computational techniques, creating powerful tools for studying complex dynamical processes that occur on timescales far beyond conventional molecular dynamics simulations. The publications demonstrate increasing integration of machine learning with rare event sampling methods, reflecting the cutting-edge direction of computational statistical mechanics. Förderpreis der Stiftung Futura zur Förderung junger Südtiroler im Ausland (1997) The Raymond and Beverly Sackler Prize in the Physical Sciences (2005) UNIVIE Teaching Award of the University of Vienna (2014) Dellago leads an active research group with multiple PhD students and postdocs, focusing on computational statistical mechanics. His group develops trajectory-based sampling methods and machine learning approaches for molecular simulation. He has secured significant funding through EuroCC Austria and various research platforms including the Research Platform Accelerating Photoreaction Discovery and the Research Platform Erwin Schrödinger International Institute for Mathematics and Physics. His research has been supported by numerous grants enabling advanced computational infrastructure for high-performance simulations. The Dellago Group operates within the Computational and Soft Matter Physics division at the University of Vienna, with strong connections to the Research Network Data Science. The group collaborates extensively with international research institutions and maintains close ties with the Erwin Schrödinger Institute, which Dellago directs. Their research environment combines theoretical physics, computational chemistry, and machine learning expertise to tackle fundamental questions in condensed matter physics and soft matter systems.
Sofia Kantorovich is a Professor at the University of Vienna, serving as Deputy Head of both the Research Platform MMM (Mathematics-Magnetism-Materials) and Computational and Soft Matter Physics group. Her departmental affiliation is with Computational and Soft Matter Physics at Kolingasse 14-16, 1090 Wien (Room 03.22). She actively teaches undergraduate and graduate courses including Linear Algebra for Computational Science, Analysis for Computational Science, and seminars on soft matter physics through the 2025 academic year. Her research centers on computational modeling of magnetic soft matter systems, with emphasis on ferrofluids, magnetic nanoparticles, nanogels, and supracolloidal polymers. She investigates how external magnetic fields influence structural properties, self-assembly dynamics, rheological behavior, and transport phenomena in complex magnetic fluids. Key applications include drug delivery systems, responsive materials design, and magnetic composites engineering, employing molecular dynamics simulations and theoretical analysis to uncover fundamental mechanisms. Analysis of her 2023-2025 publications reveals consistent focus on field-responsive dynamics in magnetic colloidal systems. Her work frequently examines coarsening phenomena in ferrogranulate networks, morphology-dependent responses in magnetic nanogels, and filamentous structure behavior under applied fields. These studies demonstrate how particle shape, concentration gradients, and interaction potentials govern macroscopic properties in magnetic soft matter. No scientific awards are documented in the available sources. Information regarding graduate student advising and grant funding details is not provided in the current materials. Professor Kantorovich leads research within the Computational and Soft Matter Physics group and co-directs the interdisciplinary MMM platform, which integrates mathematical modeling, magnetic theory, and materials science to advance understanding of complex magnetic systems and their technological applications.
Antonio Plaza is a Full Professor at the University of Extremadura, Spain, and Head of the Hyperspectral Computing Laboratory. With over 600 publications, he is a leading expert in hyperspectral data processing and parallel computing of remote sensing data. He serves as IEEE Fellow and has received numerous accolades, including the 2019 Excellent Teaching Award and multiple Highly Cited Researcher recognitions. Research Interests : His work bridges Hyperspectral Image Analysis , Medical Imaging , and High-Performance Computing . Recent projects focus on 3D anatomical modeling, AI-driven surgical tools, and deep learning applications for aortic dissection segmentation. Scientific Awards : 2019 Highly Cited Researcher (Geosciences) 2015 IEEE Fellow 2019 Excellent Teaching Award 2018 Highly Cited Researcher (Cross-Field) 2002 Best PhD Dissertation, University of Extremadura Editorial Leadership : Served as Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing (2013–2017) and held multiple committee roles in IEEE GRSS. His articles reflect a shift from remote sensing to medical imaging, with a focus on Aortic Dissection Segmentation , Skull Reconstruction , and AI-driven Medical Tools .
Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.
Richard English is currently Professor of Politics at Queen’s University Belfast (QUB) and serves as Director of the Senator George Mitchell Institute. He held leadership roles including Pro Vice-Chancellor for Internationalisation and Engagement (2016–2021) and Wardlaw Professor of Politics at the University of St Andrews (2011–2016). His research focuses on radicalism, political violence, nationalism, and Irish/British politics. A Fellow of the British Academy and recipient of the Royal Irish Academy Gold Medal (2019), he has authored influential works such as Armed Struggle: The History of the IRA and Irish Freedom: The History of Nationalism in Ireland . Research Trends: His recent publications (2022–2025) address energy systems, building simulations, and sustainable urban infrastructure, with keywords spanning Building Simulation , Sustainable Energy , and Smart Grids . Subfields include District Heating , Thermal Modeling , and Machine Learning in Energy Management . Honors: CBE (2018) Gold Medal, Royal Irish Academy (2019) Fellow, British Academy (2009) Ewart-Biggs Memorial Prize (2007)
