Multimedia Image Processing Professors and Supervisors in Austria

Hermann Maurerمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Hermann Maurer is Full Professor of Computer Science at Graz University of Technology (since 1978), with additional roles as Honorary Visiting Professor at Danube University and Honorary Research Fellow at University of Auckland (till 2012). He has held leadership positions including Dean of Computer Science (2004-2007) and Chair of Informatics Section in Academia Europaea (2007-2012). Key Institutions: Graz University of Technology, Austria-Forum, JOANNEUM RESEARCH, Academia Europaea Academic Honors: Member of Finnish Academy of Sciences, Cross of Honour for Arts and Science (Austria), multiple honorary doctorates Research Focus: Networked Interactive Digital (NID) Books, Austria-Forum (1.1M entries), hypermedia systems, anti-monopoly digital frameworks, and societal impacts of technology. He pioneered second-generation web systems and co-founded conferences like ED-MEDIA and I-KNOW. Key Trends in Publications: Recent works emphasize NID systems, interactive encyclopedias, web reliability, and the future of digital libraries. His research spans e-learning, information integration, and combating web-based plagiarism. Scientific Awards: Honorary Doctorates (St. Petersburg, Karlsruhe, Calgary) AACE Fellowship (2003) Integrata Prize (2000) Enter Prize (1999) Advising & Grants: Supervised over 400 M.Sc. and 50 Ph.D. theses. Led multimillion-dollar projects including Hyperwave AG, COSTOC, and Austria-Forum. His work on optical storage and color-graphic microcomputers (MUPID) exemplifies technological innovation.

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Hans Musmannمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Hans Musmann is a Professor at the University of Hannover, where he leads the Institute for Theoretical Information Technology. His research focuses on advanced communication technologies, including source coding, facsimile digitization, fax transmission optimization, and satellite-based audio/video signal transmission. He has contributed significantly to methodologies for transmitting moving images efficiently. Key Research Areas: Source Coding & Data Compression Facsimile and Satellite Communication Systems Signal Processing for Multimedia Transmission While no specific grants or advising records are documented, his academic contributions span foundational work in information technology and telecommunications since 1972.

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Matthias Zeppelzauerمشاهده پروفایل

استاد

St. Pölten University of Applied SciencesAustria

FH-Prof. Priv.-Doz. Dr. Matthias Zeppelzauer is a Professor of Computer Vision and Machine Learning at the University of Applied Sciences St. Pölten, leading the Media Computing Research Group at the Institute of Creative Media Technologies. His work focuses on human-centered AI, explainable machine learning, and clinical gait analysis. He holds a habilitation in Computer Science from TU Wien and has authored/co-authored over 90 publications. Education: PhD in Computer Science (2011, TU Wien) Habilitation (2020, TU Wien) Bachelor/Master in Media Informatics (1999-2006, TU Wien) Research Interests: Human-centered AI, computer vision, multimodal learning, explainable AI, clinical gait analysis, and social media analysis. Cross-cutting themes include interactive machine learning and trustworthy AI. Key Contributions: Developed methods for gait analysis (GaitRec dataset), explainable AI frameworks (KAVAGait), and multimodal fake news detection. Coordinated the Center for Artificial Intelligence at FH St. Pölten since 2021. Recognition: 2024 EuroVA Best Paper Award 2021 MTD Award for ReMoCapLab 2020 CVPR Outstanding Reviewer 2018 Austrian Open Source Award Grants & Projects: Coordinator of FAIRAI, TrustAI, and ReMoCapLab projects. Involved in EU-funded initiatives like Visual Heritage and Center for Digital Health. Labs/Teams: Leads Media Computing Research Group and collaborates with the Center for Artificial Intelligence and Center for Digital Health.

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Gerald Peterمشاهده پروفایل

مدرس

Jam Music Lab Private UniversityAustria

Gerald Peter is a Guest Lecturer in the Piano Department at JAM Music Lab University, blending his expertise in music performance, technology, and composition. He holds an MSc in Multimedia and Software Engineering from FH Technikum Wien and a BSc in Media Informatics from TU Wien, focusing on computer graphics and digital image processing. His research spans music technology innovation (e.g., MIDI-reactive visualizations, expressive digital instruments like ROLI Seaboard), genre fusion (progressive rock, jazz, cinematic scoring), and interdisciplinary multimedia art . Gerald pioneers hybrid approaches where algorithmic visualizations respond to live musical input, creating immersive audiovisual experiences. Recent creative works exhibit strong cinematic and progressive rock influences, often featuring complex arrangements and collaborations with vocalists/instrumentalists. Awards include placement in the Top 12 of the 2014 CINE Film Scoring Competition. As a performer and educator, Gerald has led international workshops for ROLI, Audio Modeling, and GeoShred across Europe and North America. He maintains active collaborations with industry innovators like Jordan Rudess (Dream Theater) and performs with projects including The Gerald Peter Project.

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Guillaume Gravierمشاهده پروفایل

استاد پژوهش

Vienna University of TechnologyAustria

Guillaume Gravier is a CNRS Senior Research Scientist and director of IRISA (Institut de Recherche en Informatique et Systèmes Aléatoires) in Rennes, France. He leads research activities within the Linkmedia group, a collaborative effort between IRISA and Inria Rennes. His research expertise spans multiple domains in computer science and multimedia: Content-based media analysis, indexing and linking Probabilistic modeling for speech and language processing Multimodal modeling for multimedia content Media analytics and deep learning applications Graph-based methods for multimedia representation Dr. Gravier actively contributes to several major research initiatives including JPI CH READ-IT (cultural heritage analysis), CAPES/Cofecub HiMMD (French-Brazilian collaboration), Inria Project Lab iCODA (data journalism analytics), ANR ARCHIVAL (audiovisual archives), and ANR AI4SDA (AI doctoral program coordination). His leadership roles include: Director of IRISA research institute Board member of the innovation cluster "Images & Réseaux" Scientific committee member of CNRS's GdR on NLP Steering committee member of EUR DigiSport AI referent for Allistene's national research plan

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Peter Pavel Arthur Petrášمشاهده پروفایل

مربی

University of KlagenfurtAustria

Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.

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Dieter Fellnerمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).

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Mislav Grgicمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Mislav Grgic is a Full Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), where he has been working since 1997. He currently serves as President of the Deans' Club - Association of Deans of Croatian University Faculties (2022-present) and as the 10th Grand Master of The Society of Brethren of the Croatian Dragon (2021-present). Previously, he was Dean of FER (2014-2018), the youngest ever elected to this position, and served as Special Advisor to the Rector of University of Zagreb (2015-2022). His educational background includes B.Sc. (1997), M.Sc. (1998), and Ph.D. (2000) degrees in electrical engineering, all from University of Zagreb's Faculty of Electrical Engineering and Computing. He was a visiting researcher at University of Essex, United Kingdom (1999-2000). Professor Grgic's research focuses on image processing, biometrics, digital video communications, and medical imaging applications. His work spans digital mammography for breast cancer detection, face recognition systems, image compression, and computer-aided diagnosis. He has published over 200 papers in books, journals and conference proceedings, with significant contributions to the field of image quality assessment and medical imaging analysis. His recent publications demonstrate continued leadership in image processing, with emphasis on image quality assessment, medical imaging applications, and educational outreach. His work bridges theoretical research with practical applications, particularly in healthcare technology and engineering education. Among his numerous honors and awards are: Croatian State Science Award for 2018 for popularization of technical sciences Order of the Croatian Star with the Effigy of Rudjer Boskovic IEEE Croatia Section Distinguished Service Award Fran Bosnjakovic Award - highest award in technical sciences of University of Zagreb Multiple Josip Loncar medals from FER Professor Grgic has been actively involved in professional service, including as Chair of IEEE Croatia Section (2013-2016) and as a full member of the Croatian Academy of Engineering since 2012. He has served as a guest editor for special issues in prestigious journals focusing on facial image processing and pattern recognition-based methods for biometric re-identification.

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Manfred Jürgen Primusمشاهده پروفایل

استاد

University of KlagenfurtAustria

Manfred Jürgen Primus is affiliated with the Faculty of Technical Sciences at the University of Klagenfurt , specifically within the Institute of Information Technology . His research focuses on Computer Science and Medical Informatics , particularly in Endoscopic Video Analysis and Human-Computer Interaction . Research themes: Medical video datasets, smoke detection in surgical footage, collaborative video retrieval systems Key technologies: Computer vision, machine learning, real-time image processing Applications: Surgical workflow optimization, medical education support Recent publications (2016-2018) demonstrate his work at the intersection of multimedia systems and healthcare, including advanced video analysis tools for laparoscopic surgery and endoscopic procedures. Despite a lack of explicit awards or student advisement records in the provided data, his contributions to Medical Imaging and Human-Computer Interaction are evident through technical publications and interdisciplinary collaborations.

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Konstantin Warnekeمشاهده پروفایل

پژوهشگر

University of KlagenfurtAustria

Konstantin Warneke is a Senior Researcher at the Department of Computer Science, Alpen-Adria-Universität Klagenfurt. His work focuses on robotics, multi-agent systems, and automation. While his formal teaching role at the university has concluded, he remains active in research projects such as 'Heterogeneous multi-agent localization' and 'Wind Turbine Blade Inspection Using Multimedia Drones,' funded by agencies like FFG and OeAD. His research spans radar technology, swarm intelligence, and edge-cloud computing, with recent publications in journals like Physical Review E and IEEE Sensors Journal. He collaborates on interdisciplinary projects addressing sustainability, automated systems, and media studies. Notably, his work emphasizes applied research with industry partners such as Infineon Technologies and NOI AG, contributing to practical innovations in fields like agricultural monitoring and renewable energy.

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Alexander Schindlerمشاهده پروفایل

مدرس

Vienna University of TechnologyAustria

Alexander Schindler is an External Lecturer at the Department of Information Systems Engineering at Technische Universität Wien. His research focuses on audio signal processing, music information retrieval, and deep learning applications in multimodal analysis. He coordinates the approacH project (2010–2013) funded by the European Commission, exploring audio-visual search engines. His academic background includes a Dipl.-Ing. in Technical Engineering and a Dr.techn. from TU Wien. Key research areas include acoustic scene classification, deepfake detection, and music video analysis. He has supervised students on topics like bird song identification and machine outage prediction. Notable publications span from unsupervised cross-modal learning (2020) to multi-modal MIR frameworks (2019). He holds a Bakk.techn. and advanced technical qualifications. Recent work includes advancements in deepfake audio detection (2025) and audio-visual surveillance systems (2024). His projects bridge theoretical research with practical applications in forensic analysis and industrial predictive maintenance. He contributes to international conferences like ACM SAC and DCASE, focusing on neural network architectures for audio analysis.

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Jiebo Luoمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has been since 2014. Prior to this, he spent over 15 years at Kodak Research Laboratories, rising to Senior Principal Scientist. His research spans computer vision, natural language processing, machine learning, and computational social science. BS and MS in Electrical Engineering from University of Science and Technology of China (USTC), 1989 and 1992 PhD in Electrical Engineering from University of Rochester, 1995 Dr. Luo's work focuses on bridging computer vision with social science through multimedia analysis, social media modeling, and digital health. His research includes innovative approaches to unsupervised learning, event recognition in videos, and multi-label classification. His publications highlight trends in deep learning for medical imaging, social media as sensors, and video analytics. Key subfields include semantic understanding, attention mechanisms, and multimodal fusion. 2021 ACM SIGMM Technical Achievement Award 2018 IEEE Region 1 Technological Innovation in Academic Award 2004 Eastman Innovation Award Fellowships: ACM, AAAI, IEEE, IAPR, SPIE Dr. Luo serves as Editor-in-Chief for IEEE Transactions on Multimedia (2020-2022) and has held leadership roles in multiple IEEE Technical Committees. He is a Data Science CoE Distinguished Researcher at the Goergen Institute for Data Science and a Board Member of the Greater Rochester Data Science Industry Consortium.

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Dacheng Taoمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Dacheng Tao is a Professor of Computer Science at the University of Technology Sydney (UTS), where he has been employed since 2010 and holds an ARC Future Fellowship since 2013. His work bridges statistics, mathematics, and advanced data analytics, with a focus on machine learning, computer vision, and multimedia technologies. Research Interests : Deep learning, computer vision, image processing, data mining, pattern recognition, geoinformatics, and video surveillance. Academic Contributions : Author of one monograph and over 400 publications in prestigious journals and conferences, with multiple best paper awards, including the 2014 ICDM 10 Year Highest Impact Paper Award. Honors and Recognition : 2015 ESI Highly Cited Researchers in Engineering and Computer Science. 2015 Australian Scopus-Eureka Prize, ACS Digital Disruptors Award (Gold Disruptor), and UTS Vice-Chancellor’s Medal for Exceptional Research. Fellowships in IEEE, IAPR, SPIE, OSA, IET, and BCS. Leadership and Service : Guest editor for 10+ special issues, editor for 10+ journals (including 7 IEEE Transactions), 4 conference keynote speeches, 60+ conference chairmanships, and service on 150+ major conferences and 60+ international journals.

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Luo Jieboمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has held this position since 2014. He earned his BS and MS in Electrical Engineering from the University of Science and Technology of China (1989 and 1992) and a PhD in Electrical Engineering from the University of Rochester (1995). Prior to academia, he spent 15+ years at Kodak Research Laboratories as a Senior Principal Scientist. His research focuses on computational social science, natural language processing, digital health, computer vision, data mining, and multimedia. Dr. Luo’s work has been recognized through numerous awards, including the ACM SIGMM Technical Achievement Award (2021), Fellowships from ACM, AAAI, IEEE, IAPR, and SPIE. He has authored over 500 peer-reviewed papers, holds 90+ patents, and serves as Editor-in-Chief of the IEEE Transactions on Multimedia. He actively contributes to conference organization (e.g., ACM Multimedia, CVPR) and editorial roles for top journals. Key contributions include pioneering work in social media analytics, sentiment analysis, and digital health, as well as foundational research in multi-label classification and action recognition datasets like UCF 101. His labs and collaborations span the Goergen Institute for Data Science and the Greater Rochester Data Science Industry Consortium.

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