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Elisabeth AndréView profile

Professor

• Tangible user interfaces
• Perceptive user interfaces
• Interactive multimodal user interfaces
• +10 more

Elisabeth André is a Full Professor of Computer Science and Chair of Multimedia Concepts and Applications at University of Augsburg, where she has been faculty since 2001. She previously served as Managing Director of the Institute for Computer Science at Augsburg University from 2004 to 2006. Professor André has received multiple prestigious professorship offers, including W3-Professorships in Human-Computer Interaction and Cognitive Systems from University of Stuttgart and Human-Machine Interaction from Otto-Friedrich-Universität Bamberg in 2009. Her academic journey began with a Diploma in Computer Science (1988) and Dr. rer. Nat. (1995) from Saarland University. Before joining Augsburg, she spent over a decade as a Scientific Researcher at DFKI GmbH (German Research Center for Artificial Intelligence), where she rose to Principal Researcher and was appointed a DFKI Research Fellow. Professor André's research focuses on designing and evaluating interactive multimodal user interfaces, experimental learning environments with animated characters, and affective computing. She is internationally recognized as a pioneer in embodied conversational agents, having organized one of the first international workshops on the topic in 1997. Her work stands out for its empirical foundation, including extensive corpus studies of human behaviors to inform virtual agent behavior modeling. Notably, she has conducted significant cross-cultural research with Japanese partners to develop culture-specific behaviors in virtual agents. Her publication record shows a consistent trajectory of innovation in human-computer interaction, with particular emphasis on multimodal analysis, gaze behavior simulation, and emotion recognition systems. The research trends in her recent work demonstrate increasing sophistication in input recognition methods and the development of practical toolboxes (AuBT, EmoVoice, SSI) that have been adopted by research institutions worldwide. 2007 Alcatel-Lucent Fellowship at Universität Stuttgart Best Paper Finalist at International Conference on Intelligent Virtual Agents (2007-2009) 2005 Convivio Best Demo Award 2000 Best Paper Award at International Conference on Intelligent User Interfaces 1998 RoboCup Scientific Award Multiple student projects winning international awards including GALA Awards and TEI conference awards Professor André has supervised 2 completed dissertations and is currently guiding 11 PhD students and 1 Habilitation candidate. Her leadership extends to major research projects including EU-funded initiatives (METABO, E-Circus, IRIS, DynaLearn, CALLAS) and DFG projects (CUBE-G, OC-Trust). She serves on numerous editorial boards and has held significant organizational roles in major conferences including IUI, IVA, and CASA. Her laboratory has developed multiple software toolkits that are used internationally in large-scale research projects, demonstrating the practical impact of her work. Current research directions include advanced emotion recognition systems, culture-adaptive virtual agents, and applications of her technology to educational and healthcare domains.

• Computer Vision
• Image Processing
• Stereo Matching
• +4 more

Asmaa Farouk Mohammed is a researcher at Vienna University of Technology's Department of Software Technology and Interactive Systems. Her work focuses on computer vision, stereo matching, and real-time algorithms, with a strong emphasis on cost-volume filtering and adaptive support weight techniques. She holds a PhD in computer science and has contributed significantly to 3D video technology and interactive video segmentation. Key research areas include: Efficient stereo matching algorithms for real-time applications Spatio-temporal filtering for video processing Interactive systems for object segmentation Geodesic-based image processing methodologies Her publications demonstrate a clear trajectory in advancing both theoretical and applied aspects of visual correspondence and 3D reconstruction. Collaborations with researchers like Michael Bleyer and Margrit Gelautz highlight her role in interdisciplinary projects. While no specific grants or awards are listed, her extensive publication record reflects sustained contributions to the field of computer vision since 2009. She is affiliated with the Network Lab at TU Wien, contributing to cutting-edge research in interactive systems and algorithm optimization.

• German Studies
• Austrian Literature
• Literary Networks
• +6 more

Wolfgang Straub is a part-time lecturer and researcher in German Studies, currently affiliated with the University of Vienna and the University of Salzburg. He holds a PhD and Master’s in German Studies from the University of Vienna and has held project leadership and research positions at Alpen-Adria-Universität Klagenfurt, Danube University Krems, and the University of Vienna. His academic work centers on Austrian literature, intermediality, and digital humanities. PhD in German Studies, University of Vienna (2001) Mag. in German Studies, University of Vienna (1991) His research interests include Austrian post-war literature, digital scholarly editions, intermediality, and literary networks. He is particularly known for his work on Werner Kofler, Hans Weigel, and Elisabeth Löcker. His work bridges traditional literary scholarship with digital innovation, especially in annotated and multimedia editions. The most recent publications reflect a strong focus on annotated editions, intermedial analysis (especially between literature, music, and radio), and the role of key cultural mediators in post-war Austria. His scholarly output combines monographs, journal articles, and digital interactive resources, showing a clear trajectory toward digital and collaborative humanities. Wolfgang Straub has not received any explicitly mentioned scientific awards in the provided text. He has led multiple externally funded research projects, primarily through the Austrian Science Fund (FWF), including the annotated complete works of Werner Kofler and studies on remigration and literary networks. While no formal advisees are listed, his collaborative projects involve significant team-based research. He contributes extensively as an editor, writer, and project leader. He leads the Forschungsplattform Werner Kofler and has been involved in creating digital research environments and interactive editions, particularly through FWF-funded projects. His work often involves interdisciplinary teams focused on digital publishing, textual scholarship, and literary history.

• Medical Imaging
• Haptic Systems
• Computer Graphics
• +6 more

Prof. Matthias Harders is a Professor at the Department of Computer Science, University of Innsbruck. His work focuses on medical imaging, haptic systems, virtual reality, and data-driven simulation. He leads research in interactive visualization tools, medical device development, and machine learning applications in healthcare and environmental engineering. Research areas include haptic augmented reality for surgical training, deformable medical image registration, and synthetic data generation for retinal imaging. Notable projects include SPBView for eye movement analysis and the PoRi device for post-stroke rehabilitation. His work bridges computer science with biomedical applications, emphasizing real-world impact in healthcare technology. Publications span medical simulation, machine learning for biogas prediction, and perceptual interfaces. He collaborates on EU-funded projects involving VR/AR systems and has contributed to open-source tools for point cloud analysis and surgical planning.

• Digital Health
• Social Innovation
• Human Activity Recognition
• +3 more

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 .

Clemens HolzmannView profile

Professor

• Human-Computer Interaction
• Pervasive Computing
• Automotive/Mobility Technology
• +3 more

Clemens Holzmann is a Professor at the Upper Austria University of Applied Sciences (FH OÖ), affiliated with the Research Center Hagenberg and its Centers of Excellence in Automotive/Mobility and Smart Production. His research focuses on Human-Computer Interaction, Pervasive Computing, and their applications in automotive systems, augmented reality (AR), and visual analytics. He has led or contributed to multiple projects, including AutoSimAR (enhancing AR usability in automated driving) and X-PRO (user-centered cross-virtuality analytics methods). Holzmann has received notable awards, including the FH OÖ Forschungspreis 2013 and Excellence in Teaching Award (2017). He actively participates in academic activities, serving on committees for conferences like the International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM) series and the International Conference on Human Computer Interaction Theory and Applications. His research outputs analyze AR and VR technologies in automated driving contexts, emphasizing user experience, safety, and traffic flow optimization. Projects like AutoWSD investigate windshield display complexity and user interface design, while Digitally Connected Industry Network explores industrial value chains and smart production systems.

Philip ChenView profile

Professor

• Multimedia Security
• Machine Learning
• Decision Sciences
• +4 more

Philip Chen is a Chair Professor and former Dean (2009–2017) of the Faculty of Science and Technology at the University of Macau, China. He has held significant roles such as Editor-in-Chief of IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014–present), President of the IEEE Systems, Man, and Cybernetics Society (2012–2013), and Vice President of the Chinese Association of Automation (2017–present). His career spans institutions in the U.S. and China, including leadership positions at the University of Texas, San Antonio, and Wright State University. Chair Professor, University of Macau (2009–present) Dean, Faculty of Science and Technology, University of Macau (2009–2017) Editor-in-Chief, IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014–present) His research focuses on Systems and Cybernetics , Computational Intelligence , Machine Learning , and Data Science , with applications in signal processing, decision systems, and hybrid intelligence. He has contributed to over 420 publications, including 240 SCI journal papers and 120 in IEEE Transactions, alongside three U.S. patents and a book. Dr. Chen has received prestigious accolades such as the 2018 IAPR Fellow , 2009 AAAS Fellow , and 2007 IEEE Fellow . He earned the 2017 Natural Science Research Award (2nd place) in Liaoning Province and the 2016 Purdue University Outstanding Electrical and Computer Engineering Award. His 32 top 1% Highly Cited Papers (Web of Science) and recognition as one of the top 14 most cited authors in computer science (2018) highlight his global impact. As an educator, he spearheaded the accreditation of the University of Macau’s engineering and computer science programs under the Washington Accord and Seoul Accord , elevating their global rankings to top 200 (Times Higher Education) and top 161 (U.S. News and World Report). His service includes leadership in IFAC’s Technical Committee 9.1 (Economic, Business, and Financial Systems, 2015–2017).

• Distributed Databases
• Object-Oriented Databases
• Internet Databases
• +9 more

Erich Neuhold is a Professor of Computer Science at the University of Vienna and Darmstadt University of Technology. He holds honorary professorships at several institutions, including the University of Guiyang and the New Jersey Institute of Technology. His career spans over five decades, with roles as Director of the Fraunhofer Institute for Integrated Publication and Information Systems (IPSI) and professorships at multiple universities globally. Education: Erich Neuhold earned a Dipl.-Ing. (M.S.) in Electronics and a Dr.-techn. (PhD) in Mathematics and Computer Science from the Technical University of Vienna. He holds special honors in his academic career, including Fellowships from IEEE and the Gesellschaft für Informatik. Research Interests: His work focuses on distributed databases, object-oriented systems, internet databases, information retrieval, semantic web, interoperability, and applications in digital libraries, e-science, and e-government. He pioneered advancements in transaction models, multimedia databases, and semantic integration frameworks. Publications: Over 200 papers and four books, with recent contributions including retrospectives on computing history and foundational work in supercomputing architectures. His articles reflect deep engagement with historical and future trends in computer science. Awards: Recognitions include the Meritorious Service Award from IEEE, medals from academic institutions, and honorary professorships worldwide. Grants & Labs: Led projects like the POREL distributed database system and contributed to initiatives like the EU’s FRESCO e-science cockpit. His work spans academic-industrial collaborations, with budget leadership at IPSI (€10M/year). Labs/Teams: Co-founded the Fraunhofer IPSI and directed research teams in Austria, Germany, and internationally, emphasizing interdisciplinary collaboration in information systems.

• Sonification
• Audio-Visual Analytics
• Data Visualization
• +3 more

FH-Prof. Dr. Michael Iber is a faculty member at the St. Pölten University of Applied Sciences, affiliated with the Department of Media and Digital Technologies. He holds academic roles including Academic Director of GRACE (MA) and E³UDRES², and serves as International Coordinator. His research focuses on sonification, audio-visual analytics, and interdisciplinary applications in healthcare and production systems. Education & Background Studied piano at Karlsruhe University of Music and Royal Academy of Music, London Interdisciplinary doctorate in 'Auditory Logistic Analysis' (Jacobs University Bremen) Research Interests Iber's work bridges art and technology, emphasizing multimodal data analysis through sound and visual interfaces. Key areas include: Real-time sonification for healthcare (e.g., gait analysis via wearable devices) Audio-visual analytics for complex data exploration Applications in production logistics and cyber-physical systems Key Projects Leading initiatives like SoniVis (data analysis via audio/visual fusion) and SONIGait (wearable gait monitoring). Collaborates on EU-funded projects such as E³UDRES² and CARMA (healthcare tech). Publications & Recognition Over 40 peer-reviewed papers in journals like Personal and Ubiquitous Computing and conferences like EuroVis/IEEE VIS. Focus on interdisciplinary methodologies and practical implementations.

Anke BrockView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Inclusive Design
• Accessibility
• +3 more

Anke Brock is an Assistant Professor at the National School of Civil Aviation (ENAC) in Toulouse, France, specializing in Human-Computer Interaction (HCI) and inclusive design. She holds dual affiliations as an Inria Research Scientist (CR1) and contributes to academic leadership as co-responsible for ENAC’s Master in Human-Computer Interaction (M2IHM). With over 550 hours of teaching experience, she instructs courses on accessibility, interactive programming, and climate education. Her research focuses on technologies for users with sensory, cognitive, or motor impairments, as well as situational impairments like stress or fatigue. She explores how these systems can enhance experiences for all users, leveraging user-centered design principles. Scientific Awards: Best Paper Award at ISS'21 Honorable Mention at MUM'17 Ifrath PhD Award (2015) Thesis Innovation Award (2014) Novela Award (2013) Anita Borg EMEA Scholarship (2012) Her mentored students span postdoctoral and PhD research on topics such as mixed reality systems for the visually impaired, drone navigation for users with disabilities, and 3D-printed accessible maps. Publications and projects reflect expertise in augmented reality, adaptive interfaces, and inclusive design.

• Computer Vision
• Biometrics
• Artificial Intelligence
• +2 more

Heinz Hofbauer is a Senior Scientist at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces, with research concentrated in computer vision, biometrics, and multimedia forensics. His work focuses on face detection systems, anti-spoofing for biometric security, and image/video encryption techniques, demonstrated through extensive publication and project leadership. His research spans computer vision, biometrics, artificial intelligence, and image processing, with notable contributions to cultural heritage analysis (e.g., face detection in the Wenceslas Bible), biometric sensor forensics, and visual security assessment. Recent work increasingly addresses cross-disciplinary applications in biomedical imaging and material science. Analysis of his 2023-2025 publications reveals three dominant trajectories: (1) AI-driven cultural heritage preservation through manuscript analysis, (2) biomedical image processing for single-cell segmentation, and (3) practical security/quality assessment for smartphone-based material classification and video encryption systems. Hofbauer has secured funding for six major research projects including: IDENTITY: Computer Vision Enabled Multimedia Forensics (2016-2019) Biometric Sensor Forensics (2014-2018) Visual Security Metrics for Image/Video Encryption (2015-2018) Traceability of Roundwood via Digital Imaging (2012-2017) Anti-Spoofing Software Evaluation for Facial Recognition (2018) Unspecified 2011 research project He actively participates in the academic community through peer review for the Journal of Visual Communication and Image Representation and conference presentations at IEEE ICIP, while collaborating closely with Andreas Uhl's research group on biometric security applications.

• Educational Technology
• Artificial Intelligence in Education
• Massive Open Online Courses
• +3 more

Martin Ebner is an Associate Professor at Graz University of Technology, specializing in educational technology, artificial intelligence in education, and learning analytics. As Dean of Studies for Technical and Textile Design, Computer Science, and Descriptive Geometry, he oversees academic programs focused on modern pedagogical approaches. His research explores the integration of AI in educational contexts, including generative AI for content creation, chatbot-assisted learning, and multilingual resource development. Research interests center on educational technologies supporting self-regulated learning, with significant work on MOOC platforms, learning analytics dashboards, and digital transformation in higher education. Publications demonstrate consistent focus on AI-driven educational tools, teacher training for digital literacy, and international education infrastructure. Awards include recognition for innovative research methodologies and educational technology implementations. Advising activities emphasize doctoral training and research community development, particularly through European university alliances like Unite!.

Markus SchedlView profile

Professor

• Recommender Systems
• Information Retrieval
• Algorithmic Fairness
• +6 more

Markus Schedl is a Full Professor at Johannes Kepler University Linz , Austria, where he leads the Multimedia Mining and Search (MMS) group within the Institute of Computational Perception . He also heads the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab . Education: Computer Science (TU Wien), PhD (JKU Linz), Master's in International Business Administration (WU Wien, University of Gothenburg) Research Interests span recommender systems , information retrieval , algorithmic fairness , user modeling , and machine learning . His recent publications focus on: Multimodal and hybrid AI for human-centric personalization Context-aware music recommendation and emotion recognition Graph neural networks for session-based recommendation Technical and regulatory compliance in fair, transparent, and privacy-preserving systems Projects are funded by the Austrian Science Fund (FWF) , Austrian Research Promotion Agency (FFG) , and European Commission (EC) . He maintains industry collaborations with Siemens, Spotify, and Deezer. Teaching includes courses like Introduction to Machine Learning and Social Media Mining and Analysis at JKU, with guest lecturing experiences at Pompeu Fabra, Queen Mary London, and KTH Stockholm. Labs & Teams: MMS group at JKU's Institute of Computational Perception and HCAI group at LIT AI Lab.

Maja OsojnikView profile

Lecturer

• Sound Art
• Experimental Music
• Electroacoustic Composition
• +5 more

Maja Osojnik is a lecturer for composition at the Salzburg University of Applied Sciences since 2018 and teaches improvisation/KEP Contemporary Music Performance at the Music and Arts Private University of the City of Vienna (MUK) since 2020 within the Faculty of Music. Her research interests span experimental sound art, electroacoustic composition, and contemporary improvisation. Osojnik deconstructs sonic boundaries through lo-fi electronics, field recordings, and unconventional instruments including Paetzold bass recorders, cassette players, and broken sound libraries. Her work explores the limbo between analog and digital, virtual and real spaces, combining experimental techniques with elements of noise, rock, early music, and traditional forms. Her most recent publications reveal trends in radio play hacking, networked performance, and graphic score production. Osojnik's work consistently investigates sound degradation, circuit bending, and the transformation of broken instruments into new sonic palettes. 2023: hörspiel_hacking (radio play composition) 2020: DRUCK (collaborative circuit-bending project) 2018: Berlin Radio Play Festival First Prize (WENDY PFERD TOD MEXICO) 2014: City of Vienna Composition Prize 2009/2019: Austrian State Composition Scholarship Osojnik leads multiple ensembles including Rdeča Raketa, Broken.Heart.Collector, and the Maja Osojnik Band. She founded MAMKA RECORDS in 2018 for self-produced recordings and graphic sound scores. Her sound installations and performance projects often involve custom-built electronics, field recordings, and collaborative networks across Austria, Slovenia, and international festivals.

• Human-Computer Interaction
• Usability Evaluation
• User Centered Design
• +5 more

Gernot Rottermanner is a Researcher at the Media Computing Research Group within the Department of Media and Digital Technologies at St. Pölten University of Applied Sciences' Institute of Creative\Media/Technologies. He has been working at the institution since September 1, 2013, focusing on Usability Evaluation and User Centered Design within various research projects. Rottermanner completed his studies in Media Technology and Digital Media Technologies at St. Pölten University of Applied Sciences from 2008 to 2013, following which he worked as a Student Assistant at the same university from 2011 to 2013 before transitioning to his current research role. His research spans multiple domains including Human-Computer Interaction, Usability Evaluation, Accessibility Technologies, and AI/Machine Learning applications. Rottermanner has made significant contributions to air traffic control systems, accessibility solutions for elderly users, and industrial applications of digital technologies. His work often involves developing and evaluating prototypes for real-world applications, particularly in safety-critical environments and media technology contexts. Analysis of Rottermanner's recent publications (2019-2024) reveals a strong focus on practical applications of HCI principles across diverse domains. His work demonstrates consistent collaboration with industry partners and academic colleagues, with particular emphasis on user-centered solutions for media technology, air traffic control systems, and industrial automation. The publications show an evolution from foundational usability studies toward more complex AI-integrated systems, reflecting broader trends in the field. As a member of the Media Computing Research Group, Rottermanner contributes to numerous research projects including TrustAI, FairMedia, ERIKA, comfort:zone, QUAKE-iP, CLUE, and several iterations of CargoRider platforms. His work often bridges theoretical research with practical implementation, particularly in developing user interfaces for specialized contexts such as aviation and industrial manufacturing.