جست‌وجوی استاد و پژوهشگر

Heidi Vandeboschمشاهده پروفایل

استاد

• Cyberbullying
• Health Communication
• Online Behavior
• +۵ مورد دیگر

Heidi Vandebosch is a Professor at the University of Antwerp's Department of Communication Studies. A prominent figure in cyberbullying research since 2005, she combines academic rigor with practical applications through her role as senior member of the MIOS research group and leadership in international COST actions. PhD in Social Sciences from KU Leuven (1999) Postdoctoral grants from FWO and KU Leuven research council Academic career progression from assistant professor (2004) to full professor (since 2016) Research Focus : Cyberbullying prevalence, impact, and interventions; digital health games; media psychology; food literacy promotion through social media. Her work bridges theoretical research with practical implementation, including development of the Friendly ATTAC digital game and Cyberscan anti-bullying tools. Key Projects : Friendly ATTAC (€1.04M IWT SBO grant) Cyber-shoc interdisciplinary research BOF Concerted Research Project on adaptive health interventions Awards & Grants : Multiple prestigious FWO grants, IWT SBO funding, and BOF research support. She chairs expert panels and contributes to national educational policy through the Flemish Educational Board (VLOR). Teaching : Offers courses at all academic levels including Introduction to Communication Studies (1BA), Media Audiences & Effects (2BA), and Health Communication (MA). International Engagement : Active in COST actions, editorial roles at Communications. The European Journal of Communication Research , and advisory positions for media literacy initiatives.

Robert Peharzمشاهده پروفایل

استادیار

• Probabilistic Machine Learning
• Tractable Probabilistic Models
• Artificial Intelligence
• +۶ مورد دیگر

Robert Peharz is an Assistant Professor at Graz University of Technology, where he leads research at the Institute of Machine Learning and Neural Computation. His work focuses on probabilistic machine learning, with particular emphasis on tractable probabilistic models, causality, and neurosymbolic AI. Education and Career PhD from TU Graz (Austria) in 2015 Postdoc at Medical University of Graz Postdoc and Marie-Curie Individual Fellow at University of Cambridge (2017-2019) Assistant Professor at Eindhoven University of Technology (2019-2021) Current: Assistant Professor at Graz University of Technology Research Interests Peharz's research spans multiple areas of artificial intelligence with a focus on making probabilistic reasoning both theoretically sound and practically efficient. His work addresses fundamental challenges in tractable probabilistic inference and learning, probabilistic circuits as a unified framework for deep generative models, Bayesian causal inference, and neurosymbolic AI combining sub-symbolic and symbolic approaches. His research has applications in cybersecurity, healthcare, and energy systems. Research Projects VENTUS (2024-present): Physics-informed, probabilistic and causal machine learning for wind energy systems NEO DNA (2023-present): DNA-based data storage systems using computer vision and probabilistic ML VanillaFlow (2023-present): AI-guided development of novel vanillin-based molecules for redox flow batteries Bilateral AI : Cluster of Excellence focused on Broad AI combining sub-symbolic and symbolic AI approaches Awards and Recognition Finalist for TUG's Excellent Teaching Award (2023) for all 3 of his courses Marie-Curie Individual Fellow at University of Cambridge Academic Service Peharz is actively involved in the academic community through conference organization and reviewing: Area Chair: UAI (2022), ECML/PKDD (2022) Senior Committee Member: UAI (2021), IJCAI (2019, 2020) Reviewer for major conferences including ICML, NeurIPS, AAAI, IJCAI-ECAI Teaching and Mentorship Peharz supervises multiple PhD students working on diverse projects at the intersection of machine learning, causality, and neurosymbolic AI. His current advisees include Sepideh Adamiat, Irina Dobrianski, Johannes Exenberger, Giacomo Di Gobbi, Tim d'Hondt, Christian Toth, and Thomas Wedenig. Previous students include Alvaro Correia, Martin Trapp, and David Montalvan.

Morgane Chevalierمشاهده پروفایل

دانشیار

• Educational Robotics
• Computational Thinking
• E-learning
• +۴ مورد دیگر

Morgane Chevalier is an Associate Professor at Vaud Teacher Training College (HEP Vaud) working within the Media, Digital Uses and Computer Science Teaching unit (UER MI). She specializes in multimedia pedagogical engineering, combining project management with e-learning scripting. Her work bridges educational theory and practical implementation of digital technologies in classroom settings, with particular focus on primary education. With prior experience teaching in primary schools in Seine-Saint-Denis (France), working in human resources in Montreal (Canada), and teaching in the Canton of Vaud, Chevalier brings diverse perspectives to her academic work. She holds a Master's degree in e-learning from IPM, Lille 1 and is currently pursuing a MAS in 'Theories, practices and training devices for teachers' to refine her understanding of institutional and social contexts of teacher training in French-speaking Switzerland. Her research interests focus on three complementary areas: online homework implementation in blended learning environments and fostering teacher communities of practice; how e-learning supports teacher professionalization; and robotics as a medium for knowledge, specifically examining how classroom robot integration impacts student learning and teaching practices. She is particularly interested in emerging communities of practice around educational technology. Analysis of her recent publications reveals a strong emphasis on educational robotics as a vehicle for developing computational thinking in primary education. Her work consistently explores scaffolded learning approaches, intervention methods, and teacher perspectives on implementing robotics in classrooms. A recurring theme is the development of models to help teachers identify relevant computational thinking concepts during different phases of educational robotics activities. Chevalier serves in several organizational roles including as an Associate HEP Professor, delegate of the intermediate body to the HEP Council, delegate of the Specialized Pedagogy Study Commission, and scientific collaborator at EPFL's LSRO. She is also a member of the educanet2 Community. Her teaching spans Bachelor primary programs, MASPE education, and continuing education courses covering image creation and processing, media education, Thymio II robotics, and flipped classroom methodologies. She collaborates extensively with EPFL researchers, particularly on projects involving the Thymio educational robot, and has developed frameworks for creative computational problem solving through robotics. Her work demonstrates a commitment to translating research into practical classroom applications while supporting teacher development in the digital age.

Brian Horsakمشاهده پروفایل

دانشیار

• Clinical biomechanics
• Gait analysis
• Musculoskeletal loading
• +۵ مورد دیگر

Brian Horsak is a Privatdozent (equivalent to Associate Professor) at the University of Vienna, affiliated with the Department of Sport and Human Movement Science within the Faculty of Sports Sciences. He serves as a member of the PI Panel/Supervisors for the Sport Science program at the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo). His research group is located at the St. Pölten University of Applied Sciences with strong collaboration to the Centre for Sport Science and University Sports at the University of Vienna. Dr. Horsak's primary research interests focus on clinical (gait) biomechanics and interdisciplinary approaches between therapy and technology. His work is dedicated to understanding musculoskeletal loading of the lower extremities during locomotion and exercise, and developing assistive technologies such as machine learning algorithms and virtual reality applications to support patients and therapists during rehabilitation. Specific areas include: Clinical gait analysis and biomechanics Musculoskeletal loading in lower extremities Patellofemoral instability and joint biomechanics Machine learning applications for gait classification Virtual reality for rehabilitation Biomechanics of obesity and pediatric movement disorders 3D motion capture and markerless technology His recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical biomechanics. Over the past five years, his work has increasingly focused on smartphone-based motion capture systems, deep learning applications for gait analysis, and virtual reality environments. His research bridges engineering technology and clinical rehabilitation, with particular attention to knee biomechanics, patellofemoral disorders, and movement analysis in pediatric obesity. Dr. Horsak teaches courses including 'Methods and Concepts of Biomechanics and Sports Informatics' and serves as supervisor for PhD students Bernhard Dumphart and Mark Simonlehner. His research group maintains strong collaborations with the St. Pölten University of Applied Sciences and appears to be involved in multiple interdisciplinary projects combining sports science, engineering, and clinical rehabilitation.

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۵ مورد دیگر

Alexander Rind is a full-time Researcher at the University of Applied Sciences St. Poelten , affiliated with the School of Media and Digital Technologies and the Media Computing Research Group . He holds an MSc in Business Informatics from Vienna University of Technology, University of Vienna, and Lund University. Education : 1998-2004 MSc in Business Informatics His research interests span Visual Analytics , Information Visualization , and Human-Computer Interaction , with specialization in time-oriented data analysis , electronic health records visualization , and multimodal analytics . Recent projects focus on integrating sonification with visualization for enhanced data exploration. Key publication trends reveal expertise in temporal data modeling , multimodal analytics , and domain-knowledge integration for healthcare and social work applications. His work includes TimeBench (open-source time-oriented data library) and tools like easyBiograph / easyNWK for social diagnostics. He actively contributes to scientific communities as program committee member for IEEE VIS, EuroVis, and journals like TVCG, while developing visual analytics systems for clinical gait analysis, media transparency, and industrial manufacturing.

Maria Teresa Guastiمشاهده پروفایل

استاد

• Pragmatics
• Bilingual Acquisition
• Developmental Language Impairment
• +۸ مورد دیگر

Maria Teresa Guasti is a Professor of Linguistics and Psycholinguistics at the University of Milano-Bicocca. She has held academic positions since 1988, including Assistant Professor (2000-2005) and Researcher roles at institutions like the University of Siena and San Raffaele Hospital. Her research bridges theoretical linguistics, child language acquisition, and cognitive disorders like dyslexia and developmental language impairment (DLD). PhD in Linguistics, University of Geneva Guasti’s work focuses on syntax, semantics, and pragmatics in typical and atypical language development, with a special emphasis on bilingual acquisition, DLD, and dyslexia. She has contributed to understanding timing anticipation deficits in dyslexia and has expanded her research into musical cognition and motor control (handwriting). Recently, she collaborated with human-computer interaction scientists to develop language-based interactive technologies. Her publications span 160 works, including 80 peer-reviewed articles and 6 books, with over 7,000 citations and an H-index of 42. Key grants include the ERC Synergy (2019) and Multimind (2017-2022, €516,122). 2019 ERC Synergy Grant for Leibniz’s Dream (€10.2M) 2012-2018 Associate Investigator at ARC Centre of Excellence in Cognition and its Disorders 2005-2009 Italian Representative in European COST A33 Action Guasti has trained 14 PhD students, supervised 12 postdocs, and mentored 100+ master’s students. She has served as Associate Editor for Language Acquisition and Frontiers in Psychology , and on editorial boards including Journal of Child Language . She has delivered keynotes at international conferences and taught at summer schools.

Gerhard Sommerمشاهده پروفایل

دانشیار

• Biomechanics
• Cardiovascular Engineering
• Tissue Mechanics
• +۴ مورد دیگر

Gerhard Sommer is an Associate Professor at the Institute of Biomechanics, Graz University of Technology (Austria), where he has held academic positions since 2003. He is also Vice Dean of Studies for Biomedical Engineering and Doctoral School, and has served as Deputy Head of the Institute since 2014. His expertise spans cardiovascular biomechanics, arterial properties, and material modeling of biological tissues. Education: PhD (2008, TU Graz), Habilitation (2021). Key professional milestones include tenure as Assistant Professor (2018–2023) and Senior Postdoctoral Researcher (2013–2018). He has conducted research at the Royal Institute of Technology (KTH), Sweden, and held visiting professorships in France, Germany, and Croatia. Research focuses on mechanical properties of arteries, atherosclerosis mechanisms, and computational modeling of soft tissues. Notable contributions include studies on homocysteine-induced aortic stiffening and the development of a Cardiac Simulation Device. His work integrates experimental and computational approaches to understand disease progression. Grants include leadership of Austrian Science Fund (FWF) projects on arterial biomechanics and aortic dissection. Awards include the 2022 Best Collaborative Paper Award and the 2014 Inventum Award. Labs: Manages the Biomechanics Laboratory since 2007. Current projects involve investigating B-vitamin deficiency effects on arteries and developing iMooc courses like MetSy for metabolic syndrome education.

• Human-Computer Interaction (HCI)
• Game Design
• Educational Technology
• +۴ مورد دیگر

Prof. Peter Purgathofer is an Associate Professor at TU Wien's Department of Human Computer Interaction within the Faculty of Informatics. His work focuses on interdisciplinary research at the intersection of technology, design, and society. He leads projects such as 'Gesture controlled computer game for dementia prevention' and 'Haptic e-learning instrument for handicapped pupils,' demonstrating expertise in healthcare technologies and inclusive design. His research emphasizes ethical AI, game design for education, and human-centered interaction paradigms. Education background includes advanced degrees in engineering and informatics, reflected in his dual role as educator and researcher. Notable contributions include co-creating flipped classroom models for large cohorts, integrating adversarial chatbots into AI ethics curricula, and developing peer-review frameworks for large university courses. Over 20 student theses supervised span topics from AI ethics to gamified health interventions. Publications highlight his work in design-based research, educational technology, and healthcare applications. Projects often involve co-creation with students and end-users, emphasizing participatory design principles. Ongoing interests include responsible innovation in technology and bridging societal challenges through interactive systems.

• Media Psychology
• Social Media
• Adolescent Development
• +۵ مورد دیگر

Kathrin Karsay is an Assistant Professor at the Faculty of Social Sciences, Institute of Journalism and Communication Studies, focusing on the psychological and social impacts of digital media. Her research spans topics like social media's influence on adolescent well-being, self-objectification, and health communication through influencers. Current Employment: Assistant Professor (2021-2023), Faculty of Social Sciences Previous Role: Postdoctoral Researcher at Catholic University of Leuven (2020-2031) Projects: Co-PI for PROMISE (2025-2028), sole PI for Mental Health in Social Media project (2024-2027) Her research emphasizes adolescent psychology , media objectification , and digital disconnection strategies . Recent publications analyze fitspiration , sexualized self-presentation , and privacy concerns . Scientific recognition includes the Reviewer Award (2023) . She engages with public discourse through media contributions, including analyses of TikTok's cultural impact and smartphone use during the pandemic.

Bernhard Rengsمشاهده پروفایل

پژوهشگر

• Agent-Based Modelling
• Demography
• Population Economics
• +۵ مورد دیگر

Bernhard Rengs is a researcher affiliated with the Vienna Institute of Demography (VID), part of the Austrian Academy of Sciences. He previously served as Assistant Professor at the Institute for Mathematical Methods in Economics at Vienna University of Technology (2003–2014). His work bridges computer science and economics, focusing on computational agent-based models applied to demography, population economics, socio-economics, and forced migration. Education: Holds degrees in computer science and economics from Vienna University of Technology. Research interests include agent-based computational social simulation, evolutionary economics, and information visualization. Current projects address refugee migration patterns, socio-economic integration, and policy impacts using advanced computational methods. Selected Publications (2023–2013) focus on Ukrainian refugee self-selection, refugee family structures, climate policy modeling, and global value chains. His work combines empirical data analysis with agent-based modeling to address complex socio-economic challenges. No formal awards listed, but contributions to migration and computational demography are widely recognized. Collaborations include the Wittgenstein Centre for Demography and Global Human Capital, with interdisciplinary teams addressing demographic transitions, migration dynamics, and policy implications. His research emphasizes practical applications of computational models for understanding societal systems and informing evidence-based policies.

Karin Ortmayrمشاهده پروفایل

استادیار

• Phytochemistry
• Biodiscovery
• Metabolomics
• +۴ مورد دیگر

Karin Ortmayr serves as an Assistant Professor at the University of Vienna within the Faculty of Life Sciences, Department of Pharmaceutical Sciences, specifically in the Division of Pharmacognosy. Her research laboratory is located in room 2G 154 (floor 1) at Josef-Holaubek-Platz 2, A-1090 Vienna, Austria. Her primary research interests focus on Phytochemistry & Biodiscovery , Molecular Targets , and MS-based metabolome profiling . Dr. Ortmayr investigates the impact of cellular plasticity on cellular metabolism and responses to stress & bioactive compounds. Her work addresses fundamental questions on the interplay between different cell states, cellular metabolism, and the action of bioactive compounds, with particular emphasis on (1) harnessing cell state-specific vulnerabilities to target disease-relevant cell subpopulations like quiescent cancer cells (cancer recurrence), and (2) considering cell state switches to improve cell-based systems for drug discovery. Her research employs advanced analytical tools in mass spectrometry-based metabolomics for systematic studies in human health and disease. She utilizes combined metabolic- and phenotypic profiling approaches, with technologies including mass spectrometry-based metabolomics (non-targeted and targeted), in vitro cell cultivation and multiparallel perturbation studies (96-well format), live-cell microscopy imaging, and integrative computational data analysis. Her publication record demonstrates consistent research output from 2014 through 2025, with a recent focus on metabolic mapping of pharmacological perturbations, biopharmaceutical profiling of natural compounds, and the relationship between cellular plasticity and metabolism in disease contexts. Her work spans microbiology, cancer research, metabolomics, and phytochemistry, reflecting interdisciplinary approaches to understanding metabolic pathways and their therapeutic applications. Dr. Ortmayr utilizes mass spectrometry-based metabolomics as her primary analytical approach, with applications ranging from antibacterial compound discovery to cancer cell metabolism and natural product analysis. Her research bridges fundamental metabolic understanding with practical applications in drug discovery and disease treatment. Her laboratory work involves in vitro cell cultivation, high-throughput perturbation studies, live-cell imaging, and computational data analysis to investigate metabolic responses to various stressors and bioactive compounds. This integrated approach allows for comprehensive analysis of cellular metabolic states and their implications for disease mechanisms and therapeutic interventions.

• Serious Games
• Gamification in Healthcare
• Medical Informatics
• +۵ مورد دیگر

Rene Baranyi is a PostDoc Researcher at TU Wien's Institute of Information Systems Engineering, affiliated with the Faculty of Informatics. He holds a Dr.techn. (PhD) and Dipl.-Ing. (Master's) in Technical Informatics. His primary roles include contributing to the Faculty Council as a Substitute Member and serving on the Curriculum Commission for Informatics. Baranyi's research focuses on integrating Serious Games and Gamification into healthcare, with over 60 developed applications in medical informatics, rehabilitation, and lifestyle medicine. Key areas include exergame development for physical therapy, mobile health solutions for chronic disease management, and digital platforms for medical education. His work bridges game design principles with medical needs, addressing rehabilitation (e.g., stroke, wrist injuries), nutrition awareness, and mental health support. Recent innovations include VR-based wrist therapy systems, gamified stress reduction apps, and AI-driven boxing technique analysis gloves. His research emphasizes accessibility, user-centered design, and cross-disciplinary collaboration with clinicians and engineers. Baranyi has supervised over 20 diploma theses on topics ranging from smart wake-up systems to self-sovereign identity infrastructure for eHealth. He teaches advanced courses on healthcare IT infrastructure and health care information systems at TU Wien. His lab work involves developing low-cost, scalable solutions for rehabilitation and prevention using consumer electronics (e.g., Wii Balance Board). Current projects explore gamified apps for multiple sclerosis patients and AI-enhanced motion analysis in sports medicine.

Harald Clahsenمشاهده پروفایل

استاد

• Psycholinguistics
• Neurolinguistics
• Generative Syntax
• +۶ مورد دیگر

Harald Clahsen is a Professor of Psycholinguistics at the University of Potsdam and Director of the Potsdam Research Institute for Multilingualism (PRIM). He has held visiting professorships at the University of Essex and visiting research positions at Max-Planck-Institut für Psycholinguistik and Max-Planck-Institut für Human Cognitive and Brain Sciences. 1974-1978: MA in German Philology, Sociology, Linguistics, and Mathematics at University of Wuppertal and Düsseldorf 1978-1981: PhD in Linguistics (summa cum laude), University of Wuppertal/Hamburg 1987: Habilitation in Linguistics, University of Düsseldorf Clahsen's research focuses on psycholinguistics and neurolinguistics , with emphasis on multilingualism , grammatical processing , and language disorders in children and adults . His work spans generative syntax, morphology, and cognitive aging effects on language acquisition and processing. His recent publications analyze morphological processing using ERP methods, heritage speaker linguistics , and digital language learning interventions for older adults . Awards include the Alexander-von-Humboldt International Award and Fellow of the British Academy (FBA). 2011-2016: Alexander-von-Humboldt Foundation International Award (€5Mio) 2010: Humboldt Professorship 2008: Fellow of the British Academy 2007: Honorary Professorship for Cognitive Science, University of Amsterdam 1989-1994: Gerhard-Hess Award (£350,000) Clahsen leads PRIM and collaborates with SFB 1287 projects on multilingualism and digital learning. His work bridges theoretical linguistics with applied cognitive science.

• Hydraulic Engineering
• Hydrodynamics
• Hydroinformatics
• +۷ مورد دیگر

Michael Tritthart is an Associate Professor of Hydraulics, Hydrodynamics, and Hydroinformatics at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he is affiliated with the Institute of Hydraulic Engineering, Hydraulics, and River Research. His research spans numerical modeling of sediment transport, river morphodynamics, and ecohydraulic systems, with a focus on the Danube River and reservoir sedimentation. He has held academic positions since 2009 at BOKU, progressing from Senior Scientist to Assistant and then Associate Professor. His research interests include hydraulic engineering, hydrodynamics, sediment transport, numerical modeling (especially 3D CFD), river restoration, and ecohydraulics. His work integrates field measurements with advanced computational models to address challenges in river management, sedimentation in reservoirs, and ecological impacts of engineering interventions. He has contributed to numerous international conferences and collaborative projects, often in partnership with institutions like Deltares and researchers such as Helmut Habersack. The trends in his recent publications highlight a strong focus on sediment management in reservoirs, particularly in tropical and alpine contexts, using integrated physical and numerical modeling. His work emphasizes practical applications in river engineering, including groyne field optimization, side channel reconnection, and the development of technical toolkits like RESSED for reservoir sedimentation. He frequently employs large-eddy simulation (LES) and Euler-Lagrangian approaches to model complex hydrodynamic and sediment transport processes. Scientific Awards: Reinhard Liepolt Prize for Danube Research (2014) Journal of Hydraulic Research Best Reviewer Award (2011) Dr. Tritthart has supervised numerous academic theses and contributed to knowledge transfer in society through lectures and public engagement. He has also been involved in projects related to plastic transport in rivers, self-purification capacity of streams, and climate change impacts on water systems. His work bridges engineering, environmental science, and computational modeling to support sustainable water resource management. He is based in Vienna and maintains active collaboration with European and international research networks in hydro-environmental engineering.

• Digital Health
• Social Innovation
• Human Activity Recognition
• +۳ مورد دیگر

Jakob Doppler is a full-time Professor at the St. Pölten University of Applied Sciences , where he leads the Center for Digital Health and Social Innovation and the Department of Media and Digital Technologies . He spearheads master's programs in Citizen-Centered Digital Health and Social Care and Digital Healthcare , integrating technology with social care solutions. His research focuses on context computing , human activity recognition , and music information retrieval , with applications in elderly care, rehabilitation technology, and digital innovation. Projects like Smart Companion , EyeQTrack , and SONIGait demonstrate his work in AI-assisted living, XR training, and wearable sonification devices for Parkinson's patients. Publications span digital health frameworks , gait rehabilitation systems , and user-centered design for aging populations. His work bridges computer science and health sciences , emphasizing interdisciplinary collaboration and real-time feedback mechanisms . He actively contributes to ambient assisted living through multi-device platforms and smart home environments .