Find Academic Supervisors

• Data Science
• Data Engineering
• Data Visualization
• +6 more

David Meyer is a Professor at the University of Applied Sciences Technikum Wien. Since 2017, he has served as Program Director for the Bachelor in Business Informatics program, and since 2020, also for the Master Data Science program. He is a Senior Lecturer and a member of the University Council. Education Habilitation in Business Informatics PhD in Business Informatics from Vienna University of Business Administration Undergraduate studies in Business Informatics at Vienna University of Technology and University of Vienna Lycée Français de Vienne Research Interests Meyer's work spans Data Science , including core areas like Data Engineering, Data Visualization, and Machine Learning. His focus extends to Statistical Computing , programming language R , ERP Systems , and Business Intelligence/Data Warehousing . He has held leadership roles in academic governance, including membership of the University Council since 2018 and board membership of the Doctoral College 'Resilient Embedded Systems' from 2018–2024. Professional Experience 2010–present: Professor and Lecturer at UAS Technikum Wien 2004–2010: Assistant Professor at WU Wien (Institute for Business Informatics) 2000–2004: Research Assistant at TU Wien (Institute for Statistics and Probability Theory) 1998–2000: Consultant at Arthur Anderson and as a freelancer 1995–1998: IT Project Manager for ERP systems 1990–1995: Software Engineer for medical ERP systems Contact Email: david.meyer@technikum-wien.at

Sonja WindhagerView profile

Researcher

• Face Neuroscience
• Gender Identity Psychology
• Measurement Invariance
• +2 more

Sonja Windhager is a researcher at the Department of Evolutionary Anthropology , Faculty of Life Sciences, University of Vienna. Her work focuses on face neuroscience, gender identity psychology, and measurement invariance in global datasets. Specializes in facial trait analysis and social perception Active in cross-cultural psychological scale validation Contributes to open-access publications in PeerJ and PLoS ONE Recent research examines cortisol's role in body fat perception, digit ratio symmetry in human evolution, and WEIRD (Western, Educated, Industrialized, Rich, Democratic) facial recognition patterns. Collaborations span 65 nations with 40+ languages. Notable activities include presentations on male facial cues to stature and aggressiveness at international conferences (2024). Media appearances discuss facial symmetry (2022) and age-gap relationships (2022).

Mirjam ErnestusView profile

Professor

• Psycholinguistics
• Speech comprehension
• Laboratory phonology
• +5 more

Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.

Mark SteedmanView profile

Professor

• Computational musical analysis
• Computational linguistics
• Combinatory logic
• +6 more

Mark Steedman is a Professor of Cognitive Science at the School of Informatics , University of Edinburgh, and an Adjunct Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research bridges Artificial Intelligence , Cognitive Science , and Computational Linguistics , with a focus on Combinatory Categorial Grammar (CCG) , Prosody and Intonation , and Temporal Semantics . He has led the Institute for Language, Cognition, and Computation and contributed to interdisciplinary research at the Human Communications Research Center and Centre for Speech Technology Research . Research Interests : Steedman's work explores the intersection of formal grammar, computational models, and cognitive processes. He investigates how CCG parsing can enhance semantic inference, how prosodic features improve speech processing, and the role of temporal semantics in language understanding. His projects often integrate language models with entailment graphs for question answering and dialogue systems. Scientific Awards : Fellow of the American Association of Artificial Intelligence (1993) Fellow of the Royal Society of Edinburgh (2002) Fellow of the British Academy (2002) Member of Academia Europaea (2006) Best Paper Awards at ACL 2023 and AACL/IJCNLP 2023 Influential Paper Award (IFAAMAS 2017) Recent Trends in Publications : His recent work emphasizes language models for semantic inference , entailment graphs in multilingual settings, and incremental parsing for brain-language interfaces. Papers address challenges in hallucination , cross-lingual transfer , and prosody-text alignment .

Kathryn LilleyView profile

Professor

• Spatial biology
• Quantitative proteomics
• Subcellular biology
• +7 more

Kathryn Lilley is a Professor in the Department of Biochemistry at the University of Cambridge, where she has held academic positions since 2004. She is Director of the Cambridge Centre for Proteomics and a Fellow of Jesus College, Cambridge. She also serves as a Member of the Milner Therapeutics Institute and previously led the Mass Spectrometry theme at the Rosalind Franklin Institute. Her research focuses on developing innovative technologies for spatial proteomics and transcriptomics, with particular emphasis on understanding the dynamic organization of proteins and RNA within cells. Her group creates robust open-source informatics pipelines that enable end-to-end analysis of proteomic data, making their methods widely accessible to the research community. Recent work has expanded into investigating the subcellular spatial transcriptome and its interactions with the proteome, generating significant interest in RNA biology. Lilley's publications reveal a strong focus on advancing spatial proteomics methodologies, with recent work emphasizing computational approaches, neural networks for data analysis, and novel techniques for studying RNA-protein interactions. Her research bridges biochemistry, computational biology, and cell biology, with applications in understanding cellular perturbation responses and disease mechanisms. 2020 Elected as a member of EMBO 2018 Human Proteomics Organisation, Distinguished Achievement in Proteomic Sciences Award 2017 European Proteomics Association Juan Pablo Albar Proteomics Pioneer award 2012 Fellow of the Royal Society of Biologists Lilley receives considerable funding from the Pharmaceutical Industry and collaborates widely both nationally and internationally. She heads a large research group that develops technologies for interrogating spatial distributions of the proteome and its reorganization upon cellular perturbation. Her work is highly regarded in the field, as evidenced by numerous plenary and keynote invitations at international conferences.

• Plant Breeding
• Genomic Selection
• Wheat Genetics
• +3 more

Dr. Sebastian Michel is a researcher at the Institute of Biotechnology in Plant Production , part of the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences Vienna (BOKU) . His work focuses on applying genomic and phenomic selection to improve disease resistance and climate adaptability in wheat species. Research interests include: Genomic selection for complex traits Plant disease resistance (Fusarium, Septoria, common bunt) Climate-resilient crop breeding Wheat genomics and QTL mapping Scientific contributions span numerous publications on Fusarium resistance mechanisms, deoxynivalenol detoxification, and genomic prediction models. He has supervised multiple MSc theses on transgenerational defense induction, allele prediction, and stripe rust resistance. Projects include EU-funded initiatives for: Climate Resilient Orphan Crops PhenoMix: Deep Learning in Wheat Breeding Sustainable Resistance Breeding in Ethiopia/Kenya/Zimbabwe Community engagement features keynote lectures on modern breeding methods and peer-review roles for journals like Frontiers in Plant Science and Theoretical and Applied Genetics .

Ashutosh ModiView profile

Associate Professor

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +3 more

Ashutosh Modi is an Associate Professor in the Computer Science and Engineering department at Indian Institute of Technology Kanpur. Previously, he conducted research at Disney Research in Pittsburgh, Los Angeles, and Zurich. His research interests span across Natural Language Processing , Machine Learning , and Artificial Intelligence , with specific focus on multi-modal Affective computing, Conversational Systems, and Natural Language Understanding. His work takes a statistical approach to developing natural language understanding models from statistical regularities in large corpora of text while leveraging linguistic theories. Dr. Modi has taught multiple courses at IIT Kanpur including: Statistical Natural Language Processing (CS779) - Fall 2020, Spring 2021, Spring 2023 Special Topics in Natural Language Processing (CS698O) - Winter 2020 Deep Reinforcement Learning (CS698R) - Fall 2021 Fundamentals of Computing (ESC101) - Spring 2022 His courses cover a comprehensive curriculum from basic linguistics fundamentals and language models to advanced topics like neural networks, word vectors, and transformer architectures including BERT. The teaching approach emphasizes both theoretical foundations and practical applications through research projects. Dr. Modi completed his PhD at Saarland University in Germany under the supervision of Prof. Dr. Manfred Pinkal and Dr. Ivan Titov. During his doctoral studies, he was associated with the Department of Computational Linguistics, MultiModal Cluster Initiative (MMCI), and Department of Computer Science.

• Cognitive Neuroscience
• Electroencephalography (EEG)
• Biosignal Processing
• +6 more

Clemens Brunner is a Researcher at the Institute of Psychology within the Faculty of Natural Sciences at the University of Graz. His work bridges electrical/biomedical engineering and cognitive neuroscience, specializing in the neural mechanisms of arithmetic processing and numerical cognition. He actively develops open-source neuroimaging tools used globally in EEG research and sleep analysis. His research focuses on EEG oscillations, biosignal processing, and machine learning applications in cognitive neuroscience. Key interests include arithmetic fact learning, neural correlates of numerical order processing, and non-invasive brain stimulation effects on mathematical cognition. His expertise spans Python programming, statistical analysis, and contributions to major scientific libraries like scikit-learn and SciPy. Analysis of his recent publications reveals consistent emphasis on electrophysiological signatures of arithmetic processing, with growing integration of computational methods and neuromodulation techniques. His work demonstrates strong methodological innovation through open-source software development for EEG analysis and sleep staging. Brunner contributes to the University of Graz's "Brain and behavior" research network, developing tools like MNELAB, SleepECG, and XDF.jl that enhance reproducibility in neuroscience. His collaborations extend to major projects including MNE-Python and BNCI Horizon 2020, advancing brain-computer interface methodologies and neuroimaging standards.

• Statistics
• Operations Research
• Biostatistics
• +3 more

Georg Heinze is an Associate Professor at the Department of Statistics and Operations Research within the University of Vienna's College of Natural Sciences. He specializes in statistical methodologies and operations research applications. Email: georg.heinze@univie.ac.at Affiliation: University of Vienna and Vienna General Hospital (AKH Wien) collaboration His research focuses broadly on statistics and operations research, with emphasis on computational methods and data analysis frameworks. He contributes to academic teaching at the university, particularly in statistical sciences.

Ali OzkesView profile

Research Professor

• Collective Decision-Making
• AI Ethics
• Public Administration
• +7 more

Dr. Ali Ozkes is a Research Professor at the Institute for Public Management & Governance and an affiliated researcher at the Competence Center for Applied AI & Scientific Computing at Vienna University of Economics and Business. He also holds a part-time professorship at SKEMA Business School. His academic journey includes a habilitation from University Paris 1 Panthéon-Sorbonne, a doctorate from École Polytechnique in Paris, a master's from Istanbul Bilgi University, and bachelor's degrees from the University of London and LSE. Dr. Ozkes' research spans several interconnected fields: Collective decision-making processes and consensus building Ethics of artificial intelligence and human-AI interaction Public administration and organizational behavior Behavioral social sciences and social choice theory Strategic decision-making in public and nonprofit sectors His recent publications (2024-2025) show a strong focus on the intersection of AI ethics, public administration, and organizational decision-making. Key themes include consensus building in leadership teams, ethical frameworks for AI in public sector applications, and cognitive models of decision-making. His work frequently appears in top journals across management, public administration, and AI ethics domains. Scientific recognition includes: WU Visiting Fellowship for Japan (2019) Dr. Ozkes actively supervises graduate students and has served on numerous doctoral committees. His research is supported by multiple interdisciplinary projects, including 'Morality, social choice and artificial intelligence' (2019-2021) and 'Establishment of an international research center for experimental financial markets' (2020-2025). He has collaborated with institutions worldwide including Aix-Marseille University, Caltech, Lund University, and Waseda University. Dr. Ozkes contributes significantly to academic service as co-editor of code and data for Management Science and co-editor of a special issue of Theory and Decision. He is also a member of several prestigious academic societies including the Academy of Management, Association for Computing Machinery, and Society for Social Choice and Welfare. His expertise was instrumental in developing the Code of Conduct for General Purpose AI Models under the EU AI Regulation.

Jozsef AratoView profile

Research Fellow

• Cognitive Science
• Data Science
• Eye-tracking
• +4 more

Jozsef Arato is a Research Fellow at the Vienna Cognitive Science Hub, University of Vienna, where he has worked as a senior scientist for data science since 2019. His research spans multiple interdisciplinary domains within cognitive science, with particular expertise in computational modeling of eye-movement patterns and visual statistical learning. His research interests focus on understanding the principles that guide learning and decision-making through computational modeling approaches. He investigates how eye-movement patterns can reveal learning processes, comparing gaze patterns across different observers. His work spans diverse application areas including art perception, environmental psychology, and animal communication systems. His publication record from 2020-2024 shows a strong focus on eye-tracking methodologies applied to art perception, with significant contributions to understanding how gaze patterns relate to aesthetic experiences. His research also extends to environmental conservation psychology and comparative studies of vocal learning in birds, demonstrating remarkable interdisciplinary breadth. Dr. Arato has been actively involved in academic service, having served as Program Chair of the Pattern Recognition in Neuroimaging Summer School in 2020. He organizes the CogData reading group and contributes to the academic community through collaborative research projects. As an educator, he teaches Scientific Computing in Python (TEWA 1) for the Psychology master's program at the University of Vienna. Previously, he taught Cognitive Modelling at both the University of Vienna and Eötvös University in Budapest, demonstrating his commitment to training the next generation of cognitive scientists and data analysts.

• Structural Biology
• Computational Biology
• Super-Resolution Microscopy
• +4 more

Jonas Ries is a Professor at the University of Vienna, affiliated with the Department of Structural Biology and Computational Biology. His research focuses on super-resolution microscopy, cryo-electron microscopy, and structural analysis of cellular components. Department: Structural Biology and Computational Biology Specialization: Nuclear pore complex architecture, MINFLUX nanoscopy, fluorescent labeling. His recent work includes 2025 projects on mitochondrial fission during apoptosis via SMLM and MINFLUX, and developing a cost-effective MINFLUX microscope. He collaborates internationally, with a focus on nuclear pore complexes and artificial intelligence applications in microscopy. 2024 contributions highlight advancements in 3D MINFLUX excitation, dynamic structural biology, and synaptonemal complex analysis in C. elegans. His projects often involve computational modeling and high-throughput imaging. Research Trends Recent publications emphasize super-resolution techniques (MINFLUX, SMLM), PSF inverse modeling for microscope calibration, and nuclear pore complex dynamics. Subfields include apoptosis mechanisms, clathrin coat bending, and AI-driven image analysis. Academic Engagement He participated in the Dies Academicus event at the University of Vienna in 2024, indicating active involvement in academic community activities.

• Quantum Optics
• Quantum Nanophysics
• Quantum Information
• +3 more

Pietro Brighi is a Researcher at the Faculty of Physics , focusing on Quantum Optics, Quantum Nanophysics, and Quantum Information . His work bridges theoretical quantum mechanics with computational methods, particularly in non-Hermitian systems , tensor networks , and many-body localization . He collaborates with institutions globally on quantum matter research. Current Projects (2023-2027): Non-reciprocal many-body systems with tensor networks (ongoing, 2025-2027) Novel phases of quantum matter in driven kinetically constrained models (completed, 2023-2024) Research Trends: Recent articles highlight quantum many-body dynamics , non-Hermitian skin effects , and anomalous transport in constrained models. His work explores spin-glass phases , localization stability , and non-equilibrium phenomena using tensor networks and quench dynamics. Scientific Activities: Participates in major conferences like the APS Global Physics Summit 2025 and workshops on many-body open quantum systems . He presents research as poster sessions and oral talks , emphasizing collaborations in quantum information and non-Hermitian physics .

• Quantum Physics
• Mathematical Physics
• Quantum Information Theory
• +2 more

Kyrylo Simonov is an active researcher at the Faculty of Mathematics, Institute of Mathematics, focusing on quantum foundations and mathematical physics. His current work centers on quantum causality and thermodynamics, with ongoing leadership of the "Quantum Causality: Mathematical and Practical Aspects" project (2024-2027). His research spans quantum information theory, particle physics, and mathematical foundations, with particular expertise in indefinite causal orders, quantum thermodynamics, and tests of quantum-classical boundaries. Recent work demonstrates significant contributions to quantum resource theory and foundational tests using meson and neutrino oscillations. Publication trends since 2016 show evolution from particle physics (meson oscillations, 2016-2019) toward advanced quantum information theory (quantum causality, thermodynamics, 2022-2025). His 26 publications include theoretical frameworks for quantum processes with indefinite time direction and practical applications in quantum communication. International collaborations are evident through co-authorship with researchers across multiple countries, though specific lab affiliations aren't detailed in available materials.

• Sociolinguistics
• Multilingualism
• Construction Grammar
• +3 more

Barbara Soukup is an Associate Professor at the University of Vienna , affiliated with the Faculty of Philology and Cultural Studies and the Institute of German Studies . Her academic career spans institutions including Georgetown University, where she earned a PhD and MSc in Linguistics, and the University of Vienna, where she completed her Mag.phil. in English and French. Education: PhD in Linguistics, Georgetown University (2008) MSc in Linguistics, Georgetown University (2005) Mag.phil. in English and French, University of Vienna (2000) Research Interests focus on sociolinguistics, multilingualism, and construction grammar, with particular emphasis on linguistic landscapes, language attitudes, and cognitive sociolinguistics. She pioneered the Variationist Linguistic Landscape Study (VaLLS) methodology and explores dialect use in Austrian media and public spaces. Recent Publications (2020-2025) analyze quantitative approaches to linguistic landscape research, dialect as metonymic devices, and language attitudes in multilingual urban environments. Articles highlight Vienna's linguistic diversity and methodological innovations in sociolinguistic fieldwork. Awards & Grants: Elise-Richter Grant (2014) Psychology of Language Award (2014) Conference Travel Grants (2002) University of Vienna Achievement Award (2001) Projects include ELLViA (2014-2021) and VisibLL (2022-2025), both examining linguistic landscapes in Vienna through citizen science and interdisciplinary collaboration. She has delivered over 100 lectures and participated in public exhibitions on urban multilingualism.