جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Norbert Jung is a Professor of Secure Embedded Systems at the Bonn-Rhein-Sieg University of Applied Sciences (Department of Computer Science), where he also served as Founding Director of the Institute for Security Research (2011–2024). He is a core member of the NRW Promotionskolleg for Applied Research and leads the Biometrics Evaluation Center (BEZ) at the university’s Sankt Augustin campus. His expertise spans cybersecurity, embedded systems, and optoelectronic sensor technology, with a focus on biometric security, real-time signal processing, and safety-critical machine systems. Prof. Jung holds a Diplom-Ingenieur in Communications Engineering from RWTH Aachen University, where he also earned his Dr.-Ing. in optoelectronics and signal processing. His career includes R&D roles at Philips Electronics in medical imaging systems. Since 1999, he has led numerous national and industrial projects, including Biolab II (biometric system evaluation), ROSE3D (robust 3D camera systems), and SMOOTH (safety switches for industrial machinery). His work addresses challenges in anti-spoofing biometrics, industrial robot safety, and sensor-based material classification. Key research themes include: Biometric system resilience against presentation attacks Safety-critical embedded systems for manufacturing Near-infrared (NIR) and multispectral imaging for skin detection Optoelectronic sensor innovation for industrial and medical applications He has spearheaded projects such as the BEZ center, which evaluates biometric systems for government and industry. His lab infrastructure includes optoelectronics and laser labs (H008/H010) and collaborates with the German Federal Office for Information Security (BSI). Prof. Jung is also the laser safety officer for his department.

• Cybersecurity
• Embedded Systems
• Biometrics
• +۴ مورد دیگر

Géza Szabó is a Researcher at Ericsson Research in Budapest, Hungary. His work focuses on advanced networking solutions for industrial and robotic systems, particularly in 5G/6G integration, network resource management, and AI-driven automation. He has extensively contributed to optimizing wireless resource allocation in industrial IoT environments and enhancing network performance through programmable data planes. Key areas: Network Co-Design, Industrial Automation, Reinforcement Learning Notable collaborations: József Peto, Sándor Rácz, Rafael Antonello His research bridges theoretical advancements with practical implementations, addressing challenges in real-time systems and quality-of-control (QoC) for cyber-physical processes. He has pioneered solutions for multipath channel switching in ROS2 and 3GPP frameworks, and developed adaptive traffic reduction techniques using SDN/NFV architectures. Recent work includes the FATHER project (Factory on the Road) exploring agile industrial production cells and the application of digital twins for network-physical system synchronization. His publications span top venues like IEEE Access, GLOBECOM, and ICC, reflecting his deep engagement with both academic and industry-relevant networking challenges.

• Network Resource Management
• 5G and 6G Networks
• Industrial IoT
• +۴ مورد دیگر

Prof. Dr.-Ing. Martin Ruskowski is a leading academic and researcher in automation and industrial AI. He serves as Head of the Innovative Factory Systems research department at the German Research Center for Artificial Intelligence (DFKI) and holds the Chair of Machine Tools and Control Systems at the University Kaiserslautern-Landau (RPTU) . Additionally, he chairs the board of the SmartFactory KL technology initiative. DFKI : Head of Innovative Factory Systems RPTU : Chair of Machine Tools and Control Systems SmartFactory KL : Chairman of the Board Research Interests : Ruskowski focuses on innovative control concepts for automation , artificial intelligence in industrial systems , and industrial robotics . His work bridges advanced AI with manufacturing, emphasizing resilience, safety, and human-centric integration. Project Highlights : RAASCEMAN : Resilient supply chains for adaptive manufacturing STAR : Secure human-centric AI in manufacturing PHYSICS : Hybrid space-time service continuum for FAAS ReCircE : Digital lifecycle records for circular economy MAS4AI : Multi-agent systems for modular production Contact: Martin.Ruskowski@dfki.de

• Automation Technology
• Artificial Intelligence in Industrial Systems
• Industrial Robotics
• +۶ مورد دیگر

Claus Withopf serves as a Lecturer at the University of Art and Design Offenbach within the School of Art's Art department, where he has taught film and video production since 2007. As founder and director of the VideoLab, he integrates practical filmmaking with academic instruction, emphasizing hands-on technical training and creative exploration in documentary and experimental formats. His educational foundation includes film studies at the City University of New York (CUNY), film and photography at HfG Offenbach, and art at Freie Kunstakademie Mannheim. He augmented this with a DAAD-funded postgraduate specialization in screenwriting, directing, and cinematography at City College of New York, where he received the Bert Saperstein Scholarship from the MFA Film Program in 2003. Withopf's creative research centers on documentary filmmaking intersecting with electronic music culture, particularly through biographical explorations of pioneering artists like Anne Clark. His work examines social criticism through visual poetry, urban identity, and cultural memory, often utilizing both analog and digital techniques. The VideoLab under his direction functions as an experimental production hub where students engage with Bolex Super 16mm cameras, motion graphics, and sound design to develop distinctive visual languages. His filmography demonstrates consistent thematic evolution from early urban narratives ( Standspur , 1998) toward complex music documentaries, culminating in the internationally screened Anne Clark (2017). These works collectively explore identity formation, cultural resistance, and sensory experience through meticulously crafted visual narratives that bridge German and American artistic traditions. While specific awards remain unnamed in available records, his films have received international festival recognition. Production funding has been secured through major institutions including HessenFilm und Medien, nordmedia, Filmförderung Hamburg Schleswig-Holstein, and the German Federal Film Fund, reflecting the cultural significance of his work. Through the VideoLab, Withopf mentors students in end-to-end film production—from concept development to theatrical distribution—fostering collaborations with industry partners like Neue Visionen Filmverleih. His teaching integrates professional filmmaking practice with academic rigor, preparing students for careers in both commercial and artistic film production while maintaining active engagement with current industry technologies and distribution models.

• Documentary Filmmaking
• Video Art
• Film Production
• +۳ مورد دیگر

Roman Pflugfelder is a Marie Curie Fellow and active researcher at the Technical University of Munich (TUM), where he is affiliated with the Chair for Computer Vision and Artificial Intelligence in the School of Computation, Information and Technology. He simultaneously holds a postdoc position at the Technion in Israel under Prof. Michael Lindenbaum and serves as a lecturer at TU Wien. Currently on leave from a Scientist position at the AIT Austrian Institute of Technology in Vienna, Pflugfelder focuses on solving occlusion challenges in machine and human vision through his Marie Curie project 'Video De-Occlusion'. His research spans object tracking and detection, motion analysis, object recognition, and visual learning, with strong emphasis on practical applications in video surveillance systems. Pflugfelder has developed notable technologies including traffic monitoring systems based on competitive learning, the CMT tracker using consensus of parts, and indoor localization with non-overlapping security cameras. His work bridges theoretical computer vision with real-world implementation, having been deployed by governmental organizations and companies. Analysis of his recent publications (2022-2025) reveals a consistent focus on multi-object tracking, satellite imagery analysis, and occlusion handling in visual recognition systems. His work shows progression from traditional tracking methods toward more sophisticated deep learning approaches for satellite video analysis and temporal modeling to address occlusion challenges. The publications span top-tier venues including CVPR, ICCV, ECCV, and NeurIPS, demonstrating his standing in the computer vision community. Marie Skłodowska-Curie Fellowship (2022) IEEE/CvF WACV Best Paper Prize (2014) Multiple reviewer awards (2016 - Journal of Image and Vision Computing, 2017 - Journal of Pattern Recognition, 2019 - CVPR) Pflugfelder supervises Master's students at TUM and previously managed a team of six researchers at AIT, coordinating the strategic 'Mobile Vision' program. He co-initiated the VOT challenges and workshop series in 2012, contributing significantly to benchmarking in visual object tracking. His research often involves interdisciplinary collaborations across European institutions and Israel, with strong emphasis on translating theoretical advances into practical surveillance applications. As part of the Dynamic Vision and Learning Group at TUM under Prof. Laura Leal-Taixé, Pflugfelder works within a vibrant research ecosystem focused on cutting-edge computer vision problems. His current project investigates how temporal information in video sequences can overcome limitations of single-image recognition systems, drawing inspiration from cognitive science concepts like visual persistence and anorthoscopic perception.

• object tracking
• object detection
• motion analysis
• +۴ مورد دیگر

Alexandra Mielke is a Research Associate in the Department of Computer Science and a PhD student with an ISF scholarship in the Department of Engineering and Communication at Hochschule Bonn-Rhein-Sieg. She is affiliated with the Institute for Safety and Security Research (ISF). Her work focuses on 3D Time-of-Flight (ToF) camera technologies, particularly in facial biometric applications and super-resolution techniques. Education: Completed her Master’s thesis in 2024 on 3D camera metrics for biometric systems. Current PhD research involves improving low-cost ToF camera performance. Research projects include the Data-Based Super Resolution project for enhancing 3D facial biometric applications and the DKZ.2R initiative supporting interdisciplinary data literacy and high-performance computing. She collaborates on sensor performance evaluation and resilience modeling. Labs/Teams: Active in the Institute for Safety and Security Research (ISF), contributing to cutting-edge 3D imaging solutions. Her work spans multiple disciplines including computer science, electrical engineering, and applied mathematics. Location: Based in Sankt Augustin at Grantham-Allee 20, Room G 037.

• 3D Camera Technology
• Biometric Applications
• Facial Recognition
• +۵ مورد دیگر

Viridiane Fay is a researcher in the Institute of Modern Languages and Romance Studies at the University of Würzburg , specializing in French language practice and applied computational methods. During lecture periods, she holds office hours every Tuesday from 1 p.m. to 2 p.m., with appointments available during semester breaks. Role: French Editor, Language Practice Location: Am Hubland, 97074 Würzburg Contact: viridiane.fay@uni-wuerzburg.de Her research spans two distinct domains: French language pedagogy and computer vision/AI . While her institutional affiliation focuses on Romance Studies, her publication record reveals expertise in: Medical and underwater image processing Transformer-based architectures Federated learning and network optimization Watermarking and security algorithms Multi-modal AI applications Neuroscience signal analysis Recent work includes lightweight segmentation models (e.g., ContextFormer), drone/aerial imagery detection frameworks (CH-YOLO-Lite), and privacy-preserving AI systems (Find). Despite limited biographical details in the scrape, her 30+ publications since 2017 suggest significant technical contributions.

• French Language Practice
• Romance Studies
• Computer Vision
• +۳ مورد دیگر

Lukas Laskowski is a researcher at the Hasso Plattner Institute (HPI) in Potsdam, Germany, affiliated with the Information Systems Group under Prof. Felix Naumann. His work bridges database systems, machine learning, and real-world applications, with publications in premier venues including SIGMOD, NeurIPS, and BTW. He maintains an active research profile with multiple forthcoming publications through 2026. His research concentrates on data matching and integration , where he pioneers explainable methods and active learning frameworks. He significantly contributes to ontology learning from relational databases through benchmark development and explores event sequence modeling with mixed data types. His interdisciplinary work extends to computer vision for ecological conservation, specifically developing open-set re-identification systems for wildlife monitoring in natural habitats. Analysis of his publication trajectory (2022-2026) reveals a cohesive evolution from foundational platform development (Frost) to sophisticated benchmarking (Burr) and explainability in data matching. His research increasingly integrates machine learning with database systems to address data quality challenges for AI applications, while maintaining strong connections to ecological and biomedical domains through projects like GorillaVision. Scientific Awards: No awards listed in available information Advising and Grants: No specific information regarding advised students or secured grants appears in the provided materials, though he participates in master's thesis supervision through group activities. Labs and Teams: Laskowski operates within the Information Systems Group at HPI, contributing to major initiatives including Metanome (large-scale data profiling), KITQAR (data quality for AI applications), and Metis (data quality assessment). The group emphasizes open-source tool development, reproducibility, and cross-institutional collaboration in data management research.

• Data Matching
• Data Integration
• Ontology Learning
• +۳ مورد دیگر

Julian Adametz is a Researcher at the Department of Electrical Engineering, Electronics and Information Technology (EEI) at Friedrich Alexander University of Erlangen-Nuremberg, affiliated with the Chair of High Frequency Engineering and the Institute of Microwaves and Photonics (LHFT). His research focuses on millimeter-wave imaging, radar systems, polarimetric techniques, and security scanning. He holds a Diplomingenieur (Dipl.-Ing.) from FAU, awarded in 2009. Notable achievements include the 2010 Argus Award from EADS/Cassidian and the 2011 Best Paper Award at the German Microwave Conference (GeMiC). Education: Began studying electrical engineering, electronics, and information technology (EEI) at FAU in 2003, graduating in 2009. Research emphasizes millimeter-wave imaging, security scanning technologies, and non-destructive evaluation of materials. Key research interests include polarimetric decomposition techniques, MIMO radar systems, and applications in security and industrial automation. His work bridges theoretical advancements with practical implementations in imaging systems and sensor technologies. Publications highlight contributions to radar-based threat detection, calibration methods for imaging systems, and novel approaches to non-destructive evaluation using SAR and millimeter-wave techniques. Awards underscore his impact in microwave and radar engineering. Labs/Teams: Active in the Institute of Microwaves and Photonics (LHFT), collaborating on projects involving radar imaging, sensor systems, and polarimetric innovations.

• Millimeter-Wave Imaging
• Radar Systems
• Polarimetric Techniques
• +۴ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Gabriel Zieger serves as Group Leader (Arbeitsgruppenleiter) in the Photonics and Quantum Detection Department at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany, where he heads the IR Radiation Detection working group. His research spans advanced materials engineering with particular focus on nanoporous platinum structures, thermoelectric materials, and infrared detection systems. With continuous publication output from 2017 through 2025, Dr. Zieger maintains an active research program within this photonics research institute. Dr. Zieger's research interests center around the development and characterization of novel photonic materials, particularly platinum-based nanostructures for infrared applications. His work explores electrochemical fabrication methods for nanoporous materials, optical properties of nanoscale structures, and energy conversion technologies. He investigates how material composition and nanostructure affect optical absorption, electrical conductivity, and thermoelectric performance across various applications from security imaging to wearable energy harvesting systems. His research bridges fundamental materials science with practical device engineering for photonics applications. Analysis of Dr. Zieger's publication record reveals consistent focus on material engineering for photonics applications, with particular emphasis on platinum-based nanostructures for infrared detection. His work demonstrates progression from fundamental studies of nanoporous platinum growth mechanisms toward increasingly applied research in thermoelectric devices and security imaging systems. The interdisciplinary nature of his publications spans materials science, optics, electrochemistry, and device engineering, showing collaboration across multiple research groups at Leibniz-IPHT. Recent publications indicate growing emphasis on practical applications including textile-based energy generation and terahertz security cameras. As Arbeitsgruppenleiter, Dr. Zieger leads the IR Radiation Detection research group, which appears to focus on developing advanced materials for infrared sensor applications. His laboratory work involves electrochemical deposition techniques, materials characterization using electron microscopy and spectroscopy, and device testing for optical and thermoelectric properties. The group maintains strong collaborative ties within Leibniz-IPHT, particularly with researchers working on nanomaterials, sensor development, and photonic devices.

• Photonics
• Quantum Detection
• Infrared Radiation Detection
• +۴ مورد دیگر

Wolfgang Oertel serves as Professor of Computer Graphics at Dresden University of Applied Sciences (HTW Dresden) within the Faculty of Informatics and Mathematics. He has held significant leadership roles including Dean of Studies (2009-2012) and Dean (2012-2015) for his faculty, and coordinated international university partnerships (2007-2011). His academic career spans over four decades with appointments at TU Dresden (1984-1998), FhG/IVI Dresden (1999-2004), and TUBA Freiberg (visiting positions in 1998-1999 and 2004-2005). Professor Oertel's research spans computer graphics, computer vision, virtual reality, and artificial intelligence with emphasis on practical applications. His work integrates knowledge representation with visual systems, focusing on spatiotemporal modeling, scientific-technological visualization, and CAD-oriented IT systems. Current projects include the Saxony5 Co-Creation Lab for Artificial Intelligence (2021) and systems for image data processing in scientific infrastructure (SEVVBWG series 2020-2023). His publication trends reveal consistent evolution from database/knowledge processing (1980s-1990s) to computer vision applications (2000s) and sophisticated AI-integrated visualization systems (2010s-present). Recent work focuses on heterogeneous traffic data visualization, knowledge-based graphic object synthesis, and conceptual frameworks bridging AI with virtual reality. Key technical domains include VRML/X3D, OpenCV, VTK, and specialized hardware integration. Award for integrated data processing (Integrata AG Tübingen, 1995) Oertel actively supervises graduate works and leads multiple research projects including Saxony5CCLKI (2021), SEVVBWG2 (2023), and GWMSV traffic simulation (2021). His laboratory maintains extensive equipment including stereo displays, 3D cameras, microscopes, VR headsets, and robotic platforms supporting research in virtual intelligent environments. Current teaching includes Computer Graphics I/II, CAD systems, and Computer Vision courses across multiple informatics programs.

• Computer Graphics
• Computer Vision
• Scientific Visualization
• +۵ مورد دیگر

Matthias Schmelz is a researcher at the Leibniz Institute of Photonic Technology, working in the Quantum Circuits group under the Research Department Quantum Systems. His work focuses on the development of superconducting quantum circuits and cryogenic electronics, with a particular emphasis on Josephson junction fabrication, SQUID-based readout systems, and wafer-scale integration for scalable quantum technologies. Key research contributions include the design of adiabatic quantum flux parametrons (AQFP), development of high-inductance cryogenic current comparators (CCC), and optimization of microwave SQUID multiplexer (µMUX) architectures for terahertz security cameras. His projects involve collaborations with institutions like CERN and GSI Darmstadt, addressing challenges in millikelvin thermalization, noise reduction, and quantum device characterization. Recent publications highlight advancements in cross-type Josephson junction fabrication, controllable mode coupling in coplanar waveguides, and hybrid NbN-Al quantum technologies. These works span journals including Physical Review B and IEEE Transactions on Applied Superconductivity , with applications in quantum computing, particle beam diagnostics, and high-sensitivity optical sensor readouts.

• Superconducting Quantum Circuits
• Josephson Junctions
• Quantum Computing Hardware
• +۳ مورد دیگر

Anyi Rao is an Assistant Professor at the Hong Kong University of Science and Technology (HKUST) where he leads the Multimedia Creativity Lab (MMLab@HKUST) and serves as Associate Director of the HKUST Media Intelligence Research Center. He received his Ph.D. from the Chinese University of Hong Kong and completed postdoctoral research at Stanford University. His research explores human-AI collaboration for creativity, focusing on understanding, editing, and creating art, media, and film. Research Interests: Rao's work centers on developing AI tools that enhance human creativity in visual media production. Key areas include: Controllable generative models for image and video synthesis AI-assisted cinematography and virtual production tools Multimodal understanding of films and creative content Human-AI collaborative workflows for artistic creation His research has produced influential tools like ControlNet and AnimateDiff used by industry leaders including Netflix and Amazon. Publication Trends: Rao's recent publications demonstrate a strong focus on diffusion models, controllable generation, and video understanding systems. His work consistently bridges technical innovation with practical applications in media production, showing increasing emphasis on real-time creative tools and filmmaker-AI collaboration paradigms. Awards and Honors: Forbes 30 Under 30 Asia (2025) Rising Star Award, World AI Conference (2024) Marr Prize (Best Paper), ICCV (2023) Magic Grant, Brown Institute for Media Innovation (2023) Hong Kong PhD Fellowship (2021) Academic Activities: Rao actively recruits students for his research group and has secured multiple grants including Amazon Video Research Fund and Tencent Rhino-Bird Grant. He organized the SIGGRAPH/CVPR Creative Visual Content Workshops and curated the Hong Kong AI Film Festival. He serves on program committees for major conferences including CVPR, ICLR, and SIGGRAPH Asia.

• Artificial Intelligence
• Computer Vision
• Generative Models
• +۴ مورد دیگر

Prof. Wilhelm Stork is a Professor at the Department of Electrical Engineering and Information Technology (ETIT) at the Karlsruhe Institute of Technology (KIT). His research focuses on microsystems technology, optics, and the application of artificial intelligence in healthcare and automotive systems. He leads projects in holographic systems, sensor technology, and decentralized health data management. His work spans automotive camera systems, medical decision support systems, and innovative dementia interventions. Education details are not explicitly provided in the text, but his academic role suggests a doctoral background in natural sciences (Dr. rer. nat.). Research Interests: Development of holographic optical elements and augmented reality systems AI-driven healthcare applications including medical imaging, diagnostics, and patient data management Sensor systems optimization for automotive and environmental monitoring Blockchain-based solutions for health data sovereignty and security Recent publications emphasize AI in healthcare decision-making, holographic recording techniques, and automotive sensor reliability. His work bridges engineering innovation with clinical applications, particularly in dementia prevention and telemedicine. Awards/Funding: No specific awards mentioned, but active in EU-funded projects related to smart grids and medical AI. His lab, ITIV (Institute of Information Processing Technology), collaborates internationally on dementia intervention platforms and digital health solutions. He advises on interdisciplinary projects combining engineering and medicine, such as the 'Model-Driven Dementia Prevention Platform' and 'AI for Spectral Analysis' initiatives.

• Microsystems Technology
• Optics
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر