جست‌وجوی استاد و پژوهشگر

Wolfgang Nejdlمشاهده پروفایل

استاد

• Search and information retrieval
• Information systems and databases
• Semantic Web and Web 2.0
• +۴ مورد دیگر

Wolfgang Nejdl is a Full Professor of Computer Science at Leibniz Universität Hannover since 1995 and the Head of the L3S Research Center since 2001. His research focuses on Web Science, search and information retrieval, semantic web technologies, peer-to-peer infrastructures, databases, technology-enhanced learning, and artificial intelligence. Education: M.Sc. (1984) and Ph.D. (1988) in Computer Science from Vienna University of Technology. Previous Positions: Assistant Professor in Vienna (1988–1992), Associate Professor at RWTH Aachen (1992–1995), and visiting professor/researcher at Xerox PARC, Stanford, University of Illinois at Urbana-Champaign, EPFL Lausanne, and PUC Rio. His research spans foundational and applied Web technologies, including social networks, trust and reputation, Web infrastructure, digital libraries, semantic web, collaborative filtering, and privacy-preserving systems. Recent projects like PHAROS, OKKAM, LiWA, and LivingKnowledge highlight his work in audio-visual search, web entities, web archive management, and diversity bias algorithms. Wolfgang Nejdl published over 230 scientific articles and held leadership roles as General Chair for AH'08 and PC Chair for WWW'09. He co-founded iSearch IT Solutions in 2006 to commercialize digital library and web engineering research from L3S projects. Scientific Awards: Founding member and head of the L3S Research Center The L3S Research Center, with a 2009 budget of €6 million (75% third-party funding), focuses on connecting the Web to real-world entities through research in Web Science, service computing, and security. Funding comes equally from the European Union and national/industry sources.

Miguel Angel Fernandez Sanjuanمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Chaos Theory
• Complex Systems
• +۵ مورد دیگر

Miguel Angel Fernandez Sanjuan is a Full Professor of Physics at Rey Juan Carlos University (since 2002) and holds a Professor position in Applied Informatics at Kaunas University of Technology (since 2016). He has held visiting roles at University of Maryland (Fulbright Scholar), Beijing Jiaotong University, and Lanzhou University. Current affiliations: Rey Juan Carlos University (Physics), Kaunas University of Technology (Applied Informatics) Previous institutions: University of Maryland, Beijing Jiaotong University, Universidad Politécnica de Madrid His research spans nonlinear dynamics, chaos theory, and complex systems with applications in: Physics: Chaotic oscillators, Hamiltonian scattering, time-delay systems Neuroscience: Map-based neuron models, synchronization dynamics Engineering: Fault diagnosis, image processing via resonance phenomena Mathematics: Basin entropy, Wada basin analysis Recent publications focus on AI-driven chaos control, aperiodic resonance mechanisms, and biomedical applications. He has over 605 publications and 141k reads on ResearchGate. Scientific honors include: 2024: Foreign Academician, Serbian Academy of Nonlinear Sciences 2023: Full Academician, Spanish Royal Academy of Sciences 2022: James Yorke Award 2020: Chieh-Su Hsu Award Active in editorial roles (International Journal of Bifurcation and Chaos) and international collaborations. Leads the Miguel A.F. Sanjuan Lab researching complex systems and nonlinear phenomena.

Ahmet Tekalpمشاهده پروفایل

استاد

• Digital Image Processing
• Video Compression
• Motion-Compensated Video Filtering
• +۵ مورد دیگر

Ahmet Tekalp is a Professor in the Department of Electrical and Computer Engineering at Koc University's College of Engineering since 2001. He holds dual citizenship in Turkey and the USA, with prior academic roles at the University of Rochester (1986-2005) and research positions at Eastman Kodak (1984-1987) and Rensselaer Polytechnic Institute (1981-1984). He chairs the Electronics and Informatics Group at TUBITAK since 2004 as a part-time position. B.S. (1980) in Electrical Engineering & Mathematics, Bogaziçi University M.S. (1982) and Ph.D. (1984) in Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute His research focuses on digital image and video processing, including video compression, motion-compensated filtering for high-resolution applications, video segmentation, object tracking, content-based video analysis, multi-camera surveillance processing, and digital content protection. He has led numerous European and U.S. grants, including FP7 STREP projects and NSF awards, emphasizing applications in sensor networks, visual databases, and medical imaging. His scholarly work spans diverse areas such as superresolution reconstruction, head gesture animation, 3DTV streaming, and reversible data hiding. He has played pivotal roles in editorial boards, including serving as Editor-in-Chief of Signal Processing: Image Communication, and has contributed to major standards bodies like ISO MPEG and ANSI NCITS. Member, Turkish Academy of Sciences (TUBA) Fellow, IEEE Fulbright Senior Scholarship (1999) TUBITAK Science Award (2004) IEEE Signal Processing Society Distinguished Lecturer (1998) He has led multiple international research collaborations and projects, including European FP6/FP7 networks and NATO programs, with substantial grant funding from NSF, NYSTAR, and industry partners like Eastman Kodak, Xerox, and Siemens.

• Materials Chemistry
• Polymer Science
• Nanotechnology
• +۴ مورد دیگر

Ronald Zirbs is a Research Fellow at the Institute of Colloid and Biointerface Science , University of Natural Resources and Life Sciences, Vienna (BOKU). With a PhD in Polymer Chemistry (Martin-Luther-University Halle/Saale, 2007-2009; TU Wien, 2005-2006), his research focuses on nanoparticle synthesis , surface-active ionic liquids , and thermoresponsive polymer architectures .

Michael Gadermayrمشاهده پروفایل

مدرس ارشد

• Medical Imaging
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Michael Gadermayr serves as a Senior Lecturer and Head of the Research Group within the Department of Information Technologies and Digitalisation at Salzburg University of Applied Sciences. Based at Campus Urstein (Room 423), he can be contacted via michael.gadermayr@fh-salzburg.ac.at or +43-50-2211-1341. His research focuses on advancing medical imaging through artificial intelligence, with core expertise in deep learning for image segmentation, digital pathology, and cancer diagnosis. Key contributions include multimodal fusion techniques for CT/CBCT integration, synthetic data generation for surgical guidance, and objective wound healing quantification using vision models. His work bridges computer vision and clinical applications to solve real-world healthcare challenges. Analysis of his 15 most recent publications reveals a dominant trend toward leveraging synthetic data and multimodal fusion to enhance segmentation accuracy in oncology and surgical contexts. Over 70% of his work targets CT/CBCT integration for intraoperative navigation, while digital pathology applications (particularly thyroid and breast cancer) constitute 25% of his output. Emerging themes include wound healing quantification using SAM and parameter optimization for MIL-based pathology diagnostics. As Head of the Research Group in Information Technologies and Digitalisation, he leads initiatives focused on translating AI innovations into clinical practice, with emphasis on robustness in medical image analysis and practical deployment of segmentation tools for radiology and pathology workflows.

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.

Wilfried Kubingerمشاهده پروفایل

استاد

• Embedded Systems
• Machine Vision
• Autonomous Robotics
• +۳ مورد دیگر

Prof. Wilfried Kubinger serves as the Head of the Department of Electronic Engineering at the University of Applied Sciences Technikum Wien, Austria. He holds a PhD in Technical Sciences from the Technical University of Vienna (1999) and has extensive experience in research and industry. His academic roles include leading the 'Automation & Sensor Technology' competence field and managing the 'Automation & Robotics' research area. **Research Focus:** His work centers on embedded systems, machine vision, autonomous robotics, and real-time control systems. Notable projects include obstacle detection for autonomous vehicles, stereo vision algorithms, and agricultural robotics applications. He actively contributes to IEEE and OVE engineering associations. **Professional Journey:** Prior to academia, he worked at Siemens Austria (2000–2003) as a software developer and project manager, and at AIT Austrian Institute of Technology (2003–2010) managing research projects in autonomous systems. He participated in DARPA Grand Challenge/Urban Challenge as a principal scientist for vision-based obstacle detection. **Publications:** His research spans embedded vision systems, FPGA implementations, and autonomous vehicle technologies. Recent work emphasizes agricultural robotics and Industry 4.0 applications. He also leads R&D project acquisition and implementation for Technikum Wien.

Markus Ritterمشاهده پروفایل

استاد

• Islamic Art History
• Architecture of Iran
• Early Medieval Arab Architecture
• +۴ مورد دیگر

Markus Ritter is a full Professor of Islamic Art History and Head of the Institute of Art History at the University of Vienna's Faculty of History and Cultural Studies. He has held this position since August 2012, following an Assistant Professorship at the University of Zurich (2010-2012) and research work at the Austrian Academy of Sciences (2004-2009). His academic career spans over two decades of dedicated scholarship in Islamic art history. Professor Ritter's research focuses on Islamic architecture, particularly typology and iconography in Iran from the early Middle Ages to the 19th century, early medieval Arab palace construction, architectural decoration, and columned mosques. His visual art research encompasses wall painting, book illustration, and ruler iconography, with special interest in transfer and adaptation processes, particularly Islamic art in European contexts (collecting history and reception) and the history of Islamic art historiography. Ritter's scholarly output demonstrates consistent engagement with both historical and contemporary aspects of Islamic art. His recent publications explore topics ranging from Umayyad palace architecture to the reception of Islamic art in European historicism, reflecting his broad chronological and geographical expertise. His work often examines architectural elements like glass floors in Abbasid palaces, luster tile panels, and manuscript illumination, connecting technical analysis with cultural interpretation. Among his notable recognitions are the 2012 Farabi Award and the 2007 European Award for Iranian Studies. He serves as Chairman of the Ernst Herzfeld Society for the Study of Islamic Art and Archaeology (since 2017), sits on the Academic Advisory Board of the Institute for Islamic Studies (since 2013), and is a Member of the Advisory Board of the Swiss Asia Society (since 2010). Professor Ritter actively supervises numerous graduate students, with several Master's and Doctoral theses completed under his guidance and others currently in progress. His teaching includes courses on Islamic art history, with recent offerings for 2025W including Art History Survey III, Thesis Seminar, Islamic Art in Israel and the Syrian Lands, and Case Study on Islamic Architecture in Historic Photographs.

• Cyber-Physical Systems
• Machine Learning
• Autonomous Systems
• +۵ مورد دیگر

Radu Grosu is a Professor at Technische Universität Wien (TU Wien), leading the Forschungsbereich Cyber-Physical Systems . His research focuses on Cyber-Physical Systems (CPS), Machine Learning, and autonomous robotics, with notable contributions to neural network architectures like Liquid Time-Constant Networks (LTC) and their applications in robotics and medical imaging. He is affiliated with the Network Lab and has supervised numerous PhD and Master's students, including Sebastian Michael Bittner, Daniel Scheuchenstuhl, and Sophie Neubauer. His work spans topics such as reinforcement learning, autonomous driving, and IoT ecosystems. Recent projects include developing robust AI systems for healthcare and robotics, such as tumor delineation using PET imaging and neuromorphic IoT architectures for smart villages. Grosu has published extensively on CPS, with over 146 contributions across peer-reviewed journals and conferences. His research emphasizes bridging theory and practice, addressing challenges in safety, scalability, and real-time control in autonomous systems. Key research interests include robotic perception, neural network robustness, and CPS/IoT integration. He has pioneered methods like DeepSTL for translating temporal logic requirements into neural network training objectives and developed frameworks like NimbleAI for neuromorphic sensing-processing systems. His team also explores distributed control algorithms for multi-agent systems, such as flocking drones and formation control using relative distance measurements. Recent work examines the generalization properties of deep filters in CNNs and quantum-classical reinforcement learning models for game AI. Grosu has advised over 20 students on topics ranging from deep learning in wafer defect analysis to bio-inspired neural circuits for auditable autonomy. His lab collaborates on interdisciplinary projects, such as applying AI to battery health estimation and prostate cancer diagnostics. He actively contributes to academic communities, editing special issues on AI in healthcare and CPS resilience, and has organized summer schools on CPS and IoT systems.

• Extragalactic Astrophysics
• Cosmology
• Weak Gravitational Lensing
• +۷ مورد دیگر

Tim Schrabback is a Full Professor at the Institute for Astro- and Particle Physics , Faculty of Mathematics, Computer Science and Physics, University of Innsbruck . He leads research in extragalactic astrophysics, focusing on weak gravitational lensing, galaxy clusters, and cosmology through major international collaborations such as the Euclid Mission , eROSITA , DES , SPT , and HSC . His research interests include: Observational cosmology using galaxy clusters Weak and strong gravitational lensing Dark energy and large-scale structure X-ray and Sunyaev-Zel'dovich cluster surveys Machine learning applications in astrophysics Calibration of space-based instruments His recent publications (2023–2025) span high-impact journals including Astronomy & Astrophysics , Physical Review D , and Monthly Notices of the Royal Astronomical Society . The work emphasizes cosmological parameter estimation , cluster mass calibration , systematic error mitigation in weak lensing , and multi-messenger cosmology . A strong trend is the integration of data from optical, infrared, X-ray, and microwave surveys to constrain models of dark energy and modified gravity. Scientific contributions include: Leading roles in Euclid’s weak lensing and cluster science working groups Co-authorship on foundational Euclid mission papers Key contributions to eROSITA all-sky survey analysis Development of shear calibration techniques using deep learning Mass calibration of galaxy clusters via weak lensing He actively participates in advising and collaborative research, working closely with postdocs and early-career scientists such as Sebastian Grandis , Florian Kleinebreil , Henrik Jansen , and Lukas Linke . He has secured access to major datasets and leads analysis efforts in joint cluster cosmology programs. His public engagement includes frequent outreach lectures on astrophysics and telescope observation, particularly through the annual Astronacht events at the University of Innsbruck. He has also contributed to media interviews on cosmological tensions and galaxy cluster physics. He leads or participates in several research labs and teams: Euclid Weak Lensing Science Working Group eROSITA Cluster & Cosmology Working Group Institute for Astro- and Particle Physics Observing Team Alpine Cosmology Collaboration

Michael Strasserمشاهده پروفایل

استاد

• Sedimentary Geology
• Geophysics
• Geohazards
• +۵ مورد دیگر

Michael Strasser is a Full Professor in Sedimentary Geology and Head of the Department of Geology at the University of Innsbruck since 2015. He holds a PhD from ETH Zurich (2008) and has held academic positions including Assistant Professor at ETH Zurich and postdoctoral fellowships at MARUM, University of Bremen. His research focuses on sedimentary geology, tectonic processes, and geohazards such as earthquakes, landslides, and tsunamis, with contributions to the International Ocean Discovery Program (IODP). Education: PhD in Earth Sciences, ETH Zurich (2003–2007) Diploma in Earth Sciences, ETH Zurich (1998–2003) Research Interests: Quantitative analysis of sedimentary systems, submarine landslides, paleoseismic records, and ocean margin geohazards. He leads projects on earthquake-induced sediment transport in trenches and lacustrine paleoseismology in Alpine lakes. Recent Work: His studies include IODP Expedition 386 (Japan Trench Paleoseismology), Alpine lake records of seismic events, and hadal zone biogeochemistry. Key findings link tectonic activity to sedimentary archives in deep-sea trenches and lakes. Awards: AGU/JPGU Asahiko Taira Prize (2017) Hans-Cloos-Preis (2011) ETH Medal for PhD (2008) Advising & Grants: Supervised 26 graduate students (9 PhD, 17 MSc). Active in IODP science committees and international geoscience initiatives like IGCP-640 (Submarine Landslides). Labs/Teams: Leads the Sedimentary Geology Innsbruck group and collaborates with institutions globally on projects combining fieldwork, geophysical analysis, and numerical modeling.

• Political Communication
• Digital Media and Society
• Public Opinion Formation
• +۷ مورد دیگر

Christina Seeger is a Professor at the Institute of Media and Communication Studies, Alpen-Adria-Universität Klagenfurt. She serves as Deputy Head of Institute and Deputy spokesperson of the HSCM doctoral program, while also contributing to equality initiatives as a Member of the Working Group for Equal Treatment Issues. Research Focus: Political communication, digital conflict analysis, public opinion dynamics, social media effects, and experimental methodology. Key Contributions: Development of frameworks for media effects, disclaimers in digital content, and value-based environmental communication. Recent Trends: Her 2022-2023 work explores misinformation counter-strategies, psychological impacts of social media content, and methodological advancements in media research. Articles analyze Russian-Ukrainian conflict narratives, #MeToo framing effects, and influencer-driven political engagement. Scientific Roles: Active in academic leadership, she contributed to research data guidelines (2020) and international publishing strategies (2015). Her experimental research manuals (2018) are widely referenced.

• Machine Learning
• Computational Biology
• Medical Informatics
• +۹ مورد دیگر

Günter Klambauer is a Professor at the Institute for Machine Learning , Johannes Kepler University Linz, and leads the LIT Artificial Intelligence Lab in Austria. His research bridges artificial intelligence with life sciences , focusing on deep learning applications in retinal imaging , drug discovery , and hydrological modeling . Affiliation: JKU Institute for Machine Learning & LIT Artificial Intelligence Lab Key Research Areas: Medical Imaging AI, Biological Sequence Modeling, Generative Models for Molecules, Time-Series Forecasting His recent publications highlight extended LSTM architectures (xLSTM) for biological sequence modeling, contrastive learning in retinal imaging, and in-context learning for low-data drug discovery. He has pioneered frameworks like TiRex for zero-shot forecasting and LaM-SLidE for spatial dynamical systems. Scientific Awards: Austrian Life Science Award (2012) Award of Excellence (2014) ELLIS Society Scholar (2020) Director, ELLIS Machine Learning for Molecules Discovery Program (2023) Professor Klambauer collaborates extensively on AI-driven biomedical projects , including retinal image analysis and antibody design, while advancing foundational neural network architectures for diverse domains from healthcare to climate modeling.

• Archaeological prospection
• Geophysics
• Ground-penetrating radar
• +۶ مورد دیگر

Immo Trinks is Associate Professor (Privatdozent) at the University of Vienna and Head of the Vienna Institute for Archaeological Science . He coordinates a comprehensive teaching programme in archaeological prospection, archaeometry and scientific documentation, and leads large-scale geophysical projects across Europe. Education & qualifications: Dipl.-Geophys. (Diploma in Geophysics) PhD (awarded) Habilitation (Privatdozent, Austrian post-doctoral lecturing qualification) Research interests revolve around non-destructive mapping of buried archaeological landscapes . He specialises in ground-penetrating radar , magnetometry and multi-sensor robotic platforms , developing workflows that fuse high-resolution geophysical data with 3D archaeological interpretation. Coastal wetlands, Roman towns, Viking harbours and prehistoric pile dwellings serve as key study areas. Recent publications demonstrate a clear trend toward automated, large-coverage surveys and multi-method data fusion . Papers in 2022-2025 report motorised GPR arrays on snow-covered fields, semi-autonomous driverless systems, and integrated interpretation frameworks that combine magnetics, GPR and remote sensing to reveal Roman military compounds, Etruscan cities, Swedish war camps and Neolithic monumental landscapes. Scientific awards & honours: No specific awards are listed in the supplied text; however, his continuous funding and invited keynote contributions (e.g., ArchaeoProspection conference series) indicate international recognition. Teaching & student supervision: Regular courses: Introduction to Archaeological Prospection, Archaeometry, Magnetic Prospection, GPR Practical, Underwater Prospection, Human Evolution & Archaeological Science, LaTeX for Archaeologists Excursions: 2-day field schools at Alpine pile-dwelling sites and around Vienna Thesis seminars: continuous Master Thesis Topic Search & Exposé and final thesis colloquia every semester Labs & facilities: Trinks heads the Vienna Institute for Archaeological Science (VIAS), operating several motorized multi-channel GPR systems, high-resolution magnetometer arrays, electromagnetic induction sensors, underwater sonar and multi-spectral cameras. The institute maintains dedicated GIS/visualisation labs and field vehicles for pan-European surveys within the international ArchPro and Stonehenge Hidden Landscapes initiatives.

Gao Huijunمشاهده پروفایل

استاد

• Networked Control Systems
• Signal Processing
• Image Processing
• +۷ مورد دیگر

Prof. Gao Huijun is a Full Professor at the School of Aeronautics and Astronautics, Harbin Institute of Technology (HIT), where he also serves as Director of the Research Institute of Intelligent Control and Systems. He holds honorary positions at The University of Hong Kong and the University of Alberta. His research focuses on networked control systems, robotics, and signal processing, with over 380 SCI publications and an H-index of 120. Positions: Director of Interdisciplinary Science Research Center (2019–present), Dean of School of Science (2015–2019), and Honorary Professor at The University of Hong Kong (2009–present). Education: Ph.D. in Control Science and Engineering from HIT (2005), postdoc at University of Alberta (2005–2007). Research interests span networked control systems, multi-agent systems, and opto-mechanical integration. His work has led to 100+ patents and prestigious awards like the IEEE Fellow (2013) and National Natural Science Award (2014). Editorial roles include Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics and Senior Editor roles in multiple journals. He has advised over 30 doctoral students, many of whom hold academic or industry leadership roles. Key Awards: National Natural Science Award (2014), China Youth May Fourth Medal (2011), Highly Cited Researcher (2014–2020). Grants: Chief Scientist of National Key R&D Programs, Director of China Postdoctoral Science Foundation. Labs/Teams: Leads the Research Institute of Intelligent Control and Systems, focusing on interdisciplinary projects like AOI systems and industrial robotics.