جست‌وجوی استاد و پژوهشگر

• Empirical Aesthetics
• Cognitive Psychology
• Neuroaesthetics
• +۴ مورد دیگر

Helmut Leder is a Professor at the University of Vienna, specifically within the Faculty of Psychology's Department of Cognition, Emotion, and Methods in Psychology. He serves as Head of the Vienna Cognitive Science Hub, integrating interdisciplinary approaches to study aesthetic experiences and cognitive processes. His academic profile includes teaching courses in General Psychology, Cognitive Psychology, and Neurosciences, alongside supervising master's and doctoral thesis seminars focused on perception and neuroaesthetics. Key Research Areas : Empirical Aesthetics, Cognitive Psychology, Visual Perception, Cross-Cultural Psychology, Urban Art Impact, Mental Imagery Studies Methodological Focus : Eye-tracking, Machine Learning Analysis, Cross-Cultural Comparisons, Field Experiments, Neuroimaging Recent Contributions : Investigated urban art's role in stress reduction, developed network models of aesthetic experiences, explored non-visual color navigation for the blind, and applied machine learning to art evaluation. His work bridges psychology with cultural studies, examining how aesthetic experiences shape well-being and cognitive processes. Current projects emphasize the neural and behavioral distinctions between real and imagined art encounters, while challenging traditional gender-based perception models.

Wolfgang Kunzمشاهده پروفایل

استاد

• Hardware Safety and Security
• Formal Hardware Verification
• Embedded Computing Systems
• +۵ مورد دیگر

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

Marta Zofia Kwiatkowskaمشاهده پروفایل

استاد

• Automated verification
• Probabilistic model checking
• Temporal logics
• +۳ مورد دیگر

Professor Marta Zofia Kwiatkowska is Professor of Computing Systems and Fellow of Trinity College at the University of Oxford, where she has held a faculty position since 2007. She previously served as Professor of Computer Science at the University of Birmingham (2001–2007), Reader and Lecturer at the University of Birmingham (1994–2001), and Lecturer at the University of Leicester (1986–1994). Her academic career began as Assistant Professor at the Jagiellonian University in Kraków, Poland (1980–1988). Education: BSc/MSc in Computer Science, Jagiellonian University, Kraków MA, University of Oxford PhD, University of Leicester Research Interests: Professor Kwiatkowska spearheaded the development of probabilistic and quantitative verification methods on the international stage. Her work bridges theory and practice through the PRISM model checker—the leading software tool in probabilistic model checking—used worldwide for research and teaching. Application domains include communication and security protocols , nanotechnology designs , power management , ubiquitous computing and systems biology . She investigates automated verification , temporal logics , semantic models for concurrency , real-time systems , and biological process modelling . Current grant funding exceeds £3.7 million from EPSRC, EU and ERC, including the prestigious ERC Advanced Grant VERIWARE. Scientific Awards & Honours: Fellow of the Royal Society Fellow of the ACM Fellow of the European Association for Theoretical Computer Science (EATCS) Fellow of the British Computer Society (BCS) Fellow of the Polish Society of Arts & Sciences Abroad ERC Advanced Grant VERIWARE (€2.046 M, 2010–2015) Top Cited Article Award, Theoretical Computer Science (2005–2010) Best Paper Award, QEST 2006 Doctoral Supervision & Grants: Professor Kwiatkowska actively supervises doctoral students (D.Phil. at Oxford) and post-doctoral researchers. She welcomes applications in areas aligned with her research interests, detailed here . Current students include Charlie Griffin, Daqian Shao, Matthew Yuan and Minghao Liu; past students and researchers number over twenty, many now in faculty or industry leadership roles. Laboratory & Teams: She leads the Oxford Quantitative Verification group within the Department of Computer Science. Ongoing projects include FUN2MODEL, ELSA, FAIR and the flagship PRISM probabilistic model checker. The group maintains strong collaborations with biological, robotics and engineering teams worldwide.

Christian Bargetzمشاهده پروفایل

استاد

• Nonlinear Functional Analysis
• Banach Spaces
• Locally Convex Spaces
• +۴ مورد دیگر

Christian Bargetz is a Professor of Functional Analysis at the University of Innsbruck, Austria, affiliated with the Faculty of Mathematics, Computer Science, and Physics (MIP). His primary research focuses on nonlinear functional analysis, Banach space theory, and distribution theory. He teaches advanced courses such as Optimization, Distribution Theory, and Functional Analysis, demonstrating his expertise in both theoretical and applied aspects of his field. Education: Completed his PhD in 2012 at the University of Innsbruck under the supervision of Norbert Ortner. His diploma thesis (2008) explored differential behaviors with Ulrich Oberst. Bargetz has held continuous academic positions since 2008, including roles as a lecturer and researcher. Research Interests: Specializes in iterative projection methods, generic properties of nonexpansive mappings, Fréchet spaces, and vector-valued distributions. His work bridges functional analysis with geometric measure theory and optimization, with applications in metric geometry and topological tensor products. Publications: Over 30 peer-reviewed articles in prestigious journals such as Canadian Journal of Mathematics , Journal of Mathematical Analysis and Applications , and Proceedings of the American Mathematical Society . Recent work includes studies on extremal nonexpansive mappings and Lipschitz function spaces. Grants & Projects: Principal investigator in FWF-funded projects on nonexpansive mappings and Banach spaces. Collaborates internationally, including with institutions in Israel, Poland, and Serbia. Teaching: Leads advanced courses in functional analysis, optimization, and distribution theory. Supervises bachelor's theses and master's projects on topics like extension operators for Lipschitz functions. Affiliations: Active member of the Functional Analysis working group and regularly participates in international conferences such as the Banach Afternoon, Winter School in Abstract Analysis, and DMV-ÖMG Annual Conferences.

Vladimir Kazeevمشاهده پروفایل

استادیار

• Numerical Analysis
• Tensor Methods
• Partial Differential Equ to the data-driven solution of PDEs
• +۳ مورد دیگر

Vladimir Kazeev is an Assistant Professor at the Faculty of Mathematics, University of Vienna , where he has held a faculty position since 2019. He also held previous academic appointments as a Szegő Assistant Professor at Stanford University (2017–2019), a postdoctoral researcher at the University of Geneva (2015–2017), and research positions at ETH Zurich (2011–2015), Russian Academy of Sciences (2008–2011), and Moscow Institute of Physics and Technology (2009). His research focuses on adaptive, data-driven numerical methods for differential equations, nonlinear low-parametric approximation, and numerical linear algebra. His work intersects computational mathematics, tensor methods, and high-dimensional problem-solving, particularly in the context of partial differential equations (PDEs) and stochastic modeling. The 15 most recent publications reveal a strong emphasis on quantized tensor-structured methods for PDEs, low-rank approximations, and high-dimensional numerical analysis. His research spans theoretical advancements in tensor decomposition, practical applications in chemical reaction networks, and novel discretization techniques for multiscale and degenerate diffusion problems. Scientific awards include the prestigious ETH Medal for outstanding doctoral theses (2016) Russian Academy of Sciences Medal for outstanding student works in mathematics (2011) Advising and teaching activities include supervising Jason Zhu (Stanford, 2019) and Simon Etter (ETH Zurich, 2014), as well as teaching advanced courses in tensor methods, numerical analysis, and PDEs at the University of Vienna, Stanford University, and the University of Geneva. His service to the community includes peer review for 15+ journals and co-organizing minisymposia at SIAM meetings.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

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.

Arthur Leskمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Protein Structure
• +۳ مورد دیگر

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.

Paul Midgleyمشاهده پروفایل

استاد

• Electron Microscopy
• Materials Science
• Crystallography
• +۳ مورد دیگر

Professor Paul Midgley is a leading academic in Materials Science at the University of Cambridge's Department of Materials Science and Metallurgy, serving as Professor since 2007 and Head of Department from 2018–2020. He is a Fellow of Peterhouse College and holds multiple prestigious awards, including the Royal Society Fellowship and the Ernst Ruska Prize. Education: PhD in Physics (University of Bristol, 1991), MSc (Distinction) in Semiconductor Materials (1988), BSc (Hons) Physics (1987). Administration: Director of the Wolfson Electron Microscopy Suite, and active on various University committees including Research, Teaching, and REF. His research focuses on advanced electron microscopy techniques such as convergent beam diffraction, electron tomography, and nanostructure analysis, with applications in nanoscale materials science and 3D reconstruction using compressed sensing. He has pioneered methods like precession electron diffraction and multi-dimensional electron microscopy, contributing to fields like plasmonic nanoparticles and catalytic materials. Key Research Themes: Electron crystallography, nanomaterial characterization, energy materials, and defect analysis in perovskites. Midgley has delivered over 20 invited/plenary lectures globally, including at EUROMAT, the Welch Symposium, and the John Cowley Memorial Lecture. His grant income exceeds £16M as Principal Investigator. Labs/Teams: Leads the Wolfson Electron Microscopy Suite and collaborates internationally on microscopy advancements and materials innovation.

Borivoje Dakicمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Quantum Foundations
• Quantum Tomography
• +۵ مورد دیگر

Dr. Borivoje Dakic is an Associate Professor at the University of Vienna , affiliated with the Faculty of Physics and the Quantum Optics, Quantum Nanophysics and Quantum Information department. His research spans foundational and applied aspects of quantum theory. Operational reconstruction of quantum formalism Quantum interference as a resource for communication Tomography of large-scale quantum systems Macroscopic quantum phenomena His work includes scalable verification techniques for quantum devices and collaborations with experimental teams like Philip Walther’s and Markus Aspelmeyer’s groups. He received the Marko Jarić Prize (2025) for his contributions. Recent projects focus on diagnostics of quantum devices (FWF BeyondC SFB), information-theoretic foundations of quantum interference (FWF P36994), and local operations in quantum field theory (Cluster of Excellence QuantA). His research on quantum coherence in networks and macroscopic entanglement challenges traditional assumptions about quantum-classical boundaries. Publications emphasize resource-efficient tomography, device-independent verification, and foundational frameworks for quantum statistics and field theory. Teaching: Quantum Information (2025W), Theory in Quantum Optics (2025S), VCQ Summerschool Labs: Dakić Group at University of Vienna

Pierre Colmezمشاهده پروفایل

پژوهشگر

• Arithmetic geometry
• Galois representations
• p-adic Hodge theory
• +۱ مورد دیگر

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.

• Journalism
• Journalistic Cultures
• Lifestyle Journalism
• +۳ مورد دیگر

Folker Hanusch is a Professor and Vice Dean at the Faculty of Social Sciences, University of Vienna, where he also serves as Vice-Director of Studies for Mass Media and Communication Science. He is based in the Department of Communication and teaches advanced seminars on journalism theory, research methods, and master's level courses. His educational qualifications include: BA (Hons) PhD Professor Hanusch's research focuses on: Journalistic cultures and role perceptions across national contexts Lifestyle journalism and boundary work with peripheral actors Cultural impacts on journalistic practices in Pacific Islands and Austria Phenomenological approaches to media trust and social identity Digital transformation challenges including audience analytics Commercial pressures on journalistic autonomy His recent publications (2024-2025) demonstrate concentrated exploration of peripherality in journalism, showing how lifestyle journalists negotiate authority against influencers while navigating platformization and commercial demands. Cross-cultural comparisons reveal how local contexts fundamentally shape journalistic values and practices. As Vice-Director of Studies, he oversees academic programs but no specific student advisees are documented in available sources.

• Atmospheric Science
• Climate Dynamics
• Meteorology
• +۳ مورد دیگر

Univ.-Prof. Aiko Voigt is a Professor and Head of the Department of Meteorology and Geophysics at the University of Vienna. Her research focuses on climate dynamics, cloud physics, and atmospheric processes. She leads the Environment and Climate Research Hub and teaches advanced courses like 'Climate Modelling Lab' and 'Cloud Physics.' Her work explores cloud-radiative interactions, climate change impacts, and extreme weather dynamics. Recent studies analyze energy imbalances, high-cloud feedbacks, and tropical precipitation patterns. Voigt's contributions bridge climate modeling with observational data, emphasizing high-resolution simulations and interdisciplinary approaches. Teaching includes courses such as 'Climate System of the Earth,' 'Scientific Communication,' and 'Introduction to Computational Meteorology.' Her research spans from present-day climate to Snowball Earth scenarios, addressing both modern and paleoclimatic challenges. Publications highlight advancements in radiative transfer algorithms, cyclone dynamics under warming, and uncertainties in climate model predictions. Her work underscores the critical role of clouds in amplifying climate sensitivity and reshaping atmospheric circulation patterns.

Kiemeney Lambertusمشاهده پروفایل

استاد

• Cancer Epidemiology
• Genetic Epidemiology
• Urological Cancers
• +۳ مورد دیگر

Kiemeney Lambertus is a Professor of Cancer Epidemiology at the Department of Health Evidence, Radboud University Medical Center in Nijmegen, Netherlands. He serves as Chair of the Department of Health Evidence and Scientific Director of the Radboud Institute for Health Sciences. His academic career includes roles as Head of the Department of Cancer Registry and Research, and Director of Research at the Netherlands Comprehensive Cancer Organisation. Lambertus holds a Master's in Biomedical Sciences (cum laude) from Radboud University and a Bachelor's in Physiotherapy (cum laude). His research focuses on urological cancers, genetic and clinical epidemiology, and biobanking. Key areas include prostate and bladder cancer genetics, risk prediction models, and validation of biomarkers like PCA3. He has pioneered studies on FGFR3 and JAG1 genes in bladder cancer susceptibility, and demonstrated the safety of coal tar treatments in dermatology. His over 500 publications include foundational work in genome-wide association studies (GWAS), with a Nature Genetics paper on bladder cancer susceptibility genes cited over 200 times. Lambertus has received global recognition including the Dominique Chopin Distinguished Researcher Award and inclusion in Thomson Reuters' most influential scientists list. Teaching Excellence: Multiple lecturer-of-the-year awards highlight his educational contributions. Leadership: Oversee large research institutes and national cancer initiatives. Global Impact: Collaborates with institutions worldwide, including Johns Hopkins University and the European Institute of Oncology. Current research emphasizes translational studies linking genetic discoveries to clinical outcomes, with a focus on reducing overdiagnosis in prostate cancer screening.

Senad Bećirovićمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Digital Technologies in Education
• Intercultural Education
• +۳ مورد دیگر

Senad Bećirović serves as a full Professor at the University of Education Lower Austria (Pädagogische Hochschule Niederösterreich), having progressed from assistant professor (2014) to associate professor (2017) before attaining his current rank in 2023. His academic career spans teaching research methodology, pedagogy, and advanced statistics across undergraduate, graduate, and doctoral programs at international institutions, delivered through both online and in-person formats. Bećirović's research focuses primarily on Artificial Intelligence and digital technologies in education , with significant contributions to intercultural education , gifted education , and foreign language pedagogy . His work demonstrates a consistent trajectory toward understanding how emerging technologies reshape educational practices and outcomes. Through four books published by Springer and Nova Science and over 60 articles in top-tier journals, he has established himself as a leading voice in digital educational transformation. His recent publications (2023-2025) reveal a pronounced emphasis on AI applications in education, with multiple studies examining AI literacy, policy frameworks, and implementation strategies across European higher education contexts. This research demonstrates both theoretical depth and practical relevance to current educational challenges. Bećirović actively contributes to the scholarly community as editor and reviewer for numerous Q1 journals including Smart Learning Environments (Springer), Education and Information Technologies (Springer), and TESOL Quarterly (Wiley). He participates in multiple European Commission-funded initiatives such as ENRICH (Enhancing Teaching and Research through Innovative Digital Technologies) and Erasmus+ projects focused on peace learning and English education. His professional activities extend to international collaboration through membership in the European Network Ethical Use of AI and the American Educational Research Association (AERA). He frequently delivers keynote addresses at international conferences, sharing expertise on AI in education, digital transformation, and intercultural competencies.

• Software Engineering
• Computer Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Hilda Tellioglu is an Associate Professor and Dean of Academic Affairs for Informatics at TU Wien, leading the Artifact-based Computing and User Research department. She holds a dual role as Head of Research Unit and oversees the Office of the Dean. Her work focuses on Human-Computer Interaction (HCI), Design Thinking, and Digital Transformation, with a strong emphasis on socio-technical systems and participatory design methodologies. Research interests span software engineering, CSCW, ambient assisted living (AAL), and digital co-creation practices in urban planning. She has spearheaded projects like aspern.mobil LAB, EnviSense, and StreetForum, exploring smart mobility, environmental sensing, and citizen participation in urban development. Her work frequently integrates tangible interfaces and model-based design approaches. Key contributions include frameworks for digital transformation evaluation (EEFCET 2020), user-centered design for informal caregivers (TOPIC platform), and crisis management systems using crowdsourcing (RE-ACTA). She has led over 20+ research projects funded by FFG, EU, and national agencies, focusing on mobility innovation, healthcare technology, and sustainable urban systems. Teaching responsibilities include courses on Design Thinking, Digital Transformation, and Research Methods across bachelor's, master's, and PhD programs. She actively promotes interdisciplinary collaboration through initiatives like the Center for Technology & Society (CTS) and Living Lab methodologies.