جست‌وجوی استاد و پژوهشگر

Larissa Schlegel-Papeمشاهده پروفایل

پژوهشگر

• Poultry Science
• Animal Welfare
• Stress Assessment in Chickens
• +۴ مورد دیگر

Larissa Schlegel-Pape serves as a Scientific Associate at the Department for Ornamental and Pedigree Poultry within the Farm Animal Clinic of Freie Universität Berlin's Faculty of Veterinary Medicine. Her work focuses on developing innovative methods for assessing chicken welfare through the creation of the "Stressed Chicken Scale," which aims to systematically identify stress indicators in poultry. Her research interests center on animal welfare science, specifically stress assessment in chickens using both behavioral observation and computer vision technology. She investigates how body posture, movement patterns, and other visual indicators can reliably signal discomfort or stress in poultry, with the goal of creating practical assessment tools for veterinarians and poultry farmers. Her work bridges veterinary medicine, ethology, and technological innovation, contributing to refinement research (one of the 3Rs principles) in animal husbandry. Analysis of her publications reveals a strong focus on developing and validating the Stressed Chicken Scale across multiple contexts. Her work spans methodological development, practical implementation studies, and technological integration with computer vision systems. The research demonstrates progression from conceptual framework to validation studies and practical application, with increasing sophistication in assessment techniques and broader implications for animal welfare standards in poultry farming. Schlegel-Pape actively collaborates with the Federal Institute for Risk Assessment (BfR) and participates in interdisciplinary projects involving artificial intelligence applications in agriculture. She presents her findings regularly at major German veterinary conferences including the DVG (Deutsche Veterinärmedizinische Gesellschaft) events, DACh Epidemiology conferences, and specialized poultry medicine gatherings. Her work contributes significantly to advancing animal welfare assessment methodologies and promoting refinement in poultry husbandry practices.

Anett Hoppeمشاهده پروفایل

پژوهشگر

• Search as Learning
• Educational Technology
• Artificial Intelligence in Education
• +۵ مورد دیگر

Dr. Anett Hoppe is a research staff member at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where she works in the Visual Analytics research group. Her research focuses on the intersection of artificial intelligence, education technology, and information science, with particular emphasis on how people learn through search processes and educational video consumption. Dr. Hoppe completed her academic journey with: Ph.D. in Semantic Web technologies for online user profiles from the University of Burgundy, Dijon, France Her primary research interests span Search as Learning, software-based support for scientific reproducibility, and ethical considerations in computer-based decision making. She investigates how visual elements, reading sequences, and AI technologies impact knowledge acquisition during web search and educational video consumption. Her work bridges human-computer interaction, educational psychology, and information retrieval to create more effective learning experiences, with recent publications examining the role of large language models, vision-language models, and visual complexity in educational contexts. Analysis of her recent publications (2024-2025) reveals a strong interdisciplinary focus combining computer science, educational psychology, and information science. Her research examines video-based learning effectiveness, knowledge gain prediction, educational resource discovery, and the impact of visual elements on learning outcomes. She consistently explores how AI technologies can be leveraged to enhance educational experiences while maintaining attention to ethical considerations and scientific reproducibility. Dr. Hoppe maintains active collaborations with researchers across multiple institutions, with frequent co-authorship patterns indicating strong research partnerships, particularly with Ralph Ewerth and other members of the Visual Analytics group at TIB. Her work supports TIB's mission to advance knowledge infrastructure and scholarly communication through innovative technological solutions while directly addressing practical challenges in educational technology and information retrieval.

Zhongliang Jiangمشاهده پروفایل

پژوهشگر

• Medical Robotics
• Image Processing
• Robotic Learning
• +۳ مورد دیگر

Dr. Zhongliang Jiang is a senior research scientist and leader of the Robotics and Ultrasound team (RobUSt) at the Chair of Computer Aided Medical Procedures (CAMP) at Technische Universität München. He holds a Ph.D. in computer sciences (summa cum laude) and has authored/co-authored over 40 top-tier publications in robotics and medical imaging. His research focuses on robotic ultrasound systems, medical image processing, and robotic learning. Education: Ph.D. in Computer Sciences, TUM (2022, summa cum laude) M.Eng. in Harbin Institute of Technology (2017) Research Assistant at SIAT (2017-2018) Research Interests: Medical Robotics: autonomous robotic ultrasound systems Image Processing: RGB-D/ultrasound segmentation, registration Robotic Learning: reinforcement/imitation learning Robotic Control: MPC, shared control, human-robot interaction Professional Contributions: Associate Editor for ICRA 2024/2025 Guest Editor for IEEE TRO special issue on Robot-Assisted Medical Imaging Main organizer of RAMI workshops at ICRA (2023-2025) Awards: MICCAI 2023 Best Paper Runner-up Gold Medal for Master's Thesis (2017) Lab & Teaching: Leading the RobUSt team developing advanced robotic ultrasound solutions Teaching courses like Computer Aided Medical Procedures and Medical Augmented Reality Supervised over 15 Master/PhD projects in robotic ultrasound and medical imaging

Eric Saxمشاهده پروفایل

استاد

• Automotive Systems
• Autonomous Driving
• Cybersecurity
• +۷ مورد دیگر

Prof. Dr.-Ing. Eric Sax is a Professor of Electronic Systems Engineering and Management at the Karlsruhe Institute of Technology (KIT), serving as Dean of the Department of Electrical Engineering and Information Technology (ETIT). He leads the Institut für Technik der Informationsverarbeitung (ITIV) and directs the Forschungszentrum Informatik ESS division . As Program Director of the Electronic Systems Engineering & Management (ESEM) master's program at the HECTOR School, he focuses on integrating academic and professional education. His research spans automotive systems engineering , self-learning functions , cybersecurity , and data-driven validation . Key themes include over-the-air updates, scenario-based testing, and the synergy between machine learning and automotive systems. His work addresses challenges in autonomous driving validation, software-defined mobility, and cyber-physical system security. Prof. Sax's contributions include frameworks for automotive software partitioning, cloud-enabled vehicle architectures, and methodologies for quantifying data quality impacts on perception systems. He actively collaborates with industry partners to bridge academic research with industrial application. His recent projects include OptiCAM (cloud/edge function offloading), Drive4C (autonomous driving benchmarking), and UNCOVER (data-driven security monitoring). He holds leadership roles in both KIT and the HECTOR School's technology business programs.

Anja Liekfeldمشاهده پروفایل

استاد مدعو

• Ophthalmology
• Optical Device Technology
• Refractive Surgery
• +۳ مورد دیگر

Anja Liekfeld serves as Adjunct Professor of Ophthalmic Optics/Optical Device Technology at Brandenburg University of Technology since 2018 while concurrently holding the position of Chief Physician at Klinikum Ernst von Bergmann's Department of Ophthalmology in Potsdam since 2009. Her dual roles bridge academic research in optical engineering with clinical ophthalmology practice, focusing on technological advancements for eye care delivery. Her educational foundation includes medical studies at Essen and Berlin Universities (1986-1992), state examination (1992), ophthalmology residency at Charité (1994-1997), specialist certification (1997), doctoral degree magna cum laude (1997), and habilitation on capsular bag models for cataract research (2007). Liekfeld's research centers on optical properties of intraocular lenses, clinical applications of medical devices in ophthalmology, refractive surgery techniques (laser and IOLs), cataract surgery technologies, glaucoma diagnostics/therapy, and gerontological ophthalmology. Her work emphasizes translating engineering principles into clinical solutions for complex vision correction challenges. Over 25 years of publications reveal evolving expertise from molecular glaucoma research to advanced IOL development. Recent work focuses on multifocal/toric lenses, dysphotopsia analysis, and visual outcomes measurement, demonstrating consistent innovation at the optics-clinical interface with practical applications for patient care. Her accolades include: DOG/SFO Travel Grant (2000) DGII Best Presentation Award (2008) DOC Gold Medal (2011) Focus Magazine Top Doctor (2013-2021) Stern Magazine Top Doctor (2022) As an educator, she trains surgical assistants, diet technicians, and operating room staff while teaching ophthalmology to visually impaired pedagogy students at Humboldt University. She conducts international wet labs for surgeons and optometrists, serves on editorial boards for Concept and Karger Kompass Ophthalmologie, and reviews for major ophthalmology journals. Active in professional societies including DGII, ESCRS, DOG, BBAG, and BDOC, she chairs Brandenburg's Ophthalmology Examination Board since 2021 and serves on the board of Die Augenchirurginnen e.V. Her research utilizes human capsular bag models for cataract studies and maintains focus on improving optical device performance in clinical settings.

Ana Serranoمشاهده پروفایل

دانشیار

• Visual Computing
• Computational Imaging
• Material Appearance Perception
• +۷ مورد دیگر

Ana Serrano is an Associate Professor at Universidad de Zaragoza, Spain, where she is affiliated with the Graphics & Imaging Lab in the EINA (Edificio Ada Byron) school. She earned her PhD at the same institution under the supervision of Prof. Diego Gutierrez and Prof. Belen Masia, and completed a postdoctoral fellowship at the Max-Planck-Institute for Informatics under Prof. Karol Myszkowski. Her research focuses on visual computing , particularly in computational imaging , material appearance perception and editing , and virtual reality . She is especially interested in developing perceptually-driven methods that leverage knowledge of the human perceptual system to enhance user experiences and assist content creation in immersive environments. Her recent publications (2023–2025) span top-tier venues such as SIGGRAPH, CVPR, IEEE TVCG, and Eurographics. These works explore topics like saliency prediction in 3D and 360° video, crossmodal perception in VR, gloss modeling, radiance fields, and perceptual evaluation of immersive content. The research demonstrates a strong integration of machine learning, human perception, and computer graphics to solve real-world problems in visual computing. She has received several prestigious awards, including: Eurographics 2023 Young Researcher Award VGTC VR 2024 Significant New Researcher Award Eurographics 2020 PhD Award Adobe Research Fellowship (honorable mention, 2017) NVIDIA Graduate Fellowship (2018) Ana Serrano actively supervises PhD and Master’s students and has taught courses such as Virtual Reality, Computational Imaging, and Deep Learning applications. She serves as an Associate Editor for Computer Graphics Forum , ACM Transactions on Applied Perception , and Computers and Graphics , and has held leadership roles in major conferences including Eurographics (Tutorials co-chair, 2023), ACM SAP (Program co-chair, 2022), and CEIG (Program co-chair, 2022). Her professional service includes extensive program committee and reviewer roles for SIGGRAPH, IEEE VR, ISMAR, and others. She leads a vibrant research group focused on human perception in virtual environments, with current projects on computational models of attention and perception, integrated with physiological signals. Her lab, the Graphics & Imaging Lab, fosters interdisciplinary collaboration and innovation in visual computing.

Nicola Breugstمشاهده پروفایل

استاد

• Entrepreneurship
• Psychology of Entrepreneurship
• Entrepreneurial Teams
• +۳ مورد دیگر

Prof. Nicola Breugst is a Professor of Entrepreneurial Behavior at the TUM School of Management, Technical University of Munich. Her research focuses on the psychological dimensions of entrepreneurship, particularly the interplay between founders' thought processes, emotions, and their social/environmental contexts. She explores how entrepreneurial teams influence decision-making, employee motivation, and venture success. Her work challenges the 'lone entrepreneur' myth, emphasizing systemic interactions between founders and their ecosystems. Education: B.A. in Psychology from Ludwig Maximilian University of Munich; Ph.D. in Entrepreneurship from Friedrich Schiller University Jena. Professional Experience: Held academic roles at the University of Duisburg-Essen, Max Planck Institute for Economics, Indiana University Kelley School of Business, and National University of Singapore. Research Interests: Entrepreneurial cognition, team dynamics, equity distribution, founder relationships, and the socio-economic factors shaping new ventures. Notable contributions include studies on trust in teams, envy's role in performance, and pivoting strategies in uncertain markets. Awards: 2022 Teaching Excellence Award (TUM School of Management), 2020 Best Paper in Entrepreneurial Cognition (Academy of Management), and multiple recognitions for mentorship and scholarly contributions. Grants/Advising: Extensive supervision of doctoral students (2018 award), with research supported by international collaborations. Active in entrepreneurial education and cross-cultural studies.

• Traffic Data Acquisition
• Traffic Data Analysis
• Video-Based Microscopic Traffic Flow Simulation
• +۲ مورد دیگر

Dr. Adrian Fazekas is a Lecturer at the Institute of Highway Engineering, RWTH Aachen University, and collaborates with the Federal Highway Research Institute (BASt). He holds a Dr.-Ing. in Computer Science from RWTH Aachen (2005–2011), specializing in Media Engineering. His professional trajectory includes roles as a Research Assistant at RWTH Aachen and industry experience as a Software Developer at Continental AG. Research interests focus on traffic data acquisition , microscopic traffic flow simulation , and intelligent transportation systems . Key projects include: DROVA: Drone-based traffic analysis for infrastructure optimization ESIMAS: Real-time tunnel safety management Digital Twin Road: Physical-informational mapping of future highways AUTUKAR: Automated tunnel monitoring systems His publications emphasize real-time traffic detection , safety analytics , and data-driven modeling , with recent work exploring thermal-camera nudging systems and weigh-in-motion accuracy. He actively contributes to the Research Association for Roads, Earth and Tunneling (SETAC). No awards or student advising roles are documented.

Sylvia Hubner-Benzمشاهده پروفایل

استادیار

• International Management
• Cross-Cultural Differences
• Entrepreneurial Behavior
• +۳ مورد دیگر

Jun.-Prof. Dr. Sylvia Hubner-Benz is an Assistant Professor of International Management at the University of Paderborn, leading the Management International Management department within the Faculty of Business Administration and Economics. Her research focuses on cross-cultural dynamics in entrepreneurship, innovation, and virtual teamwork, with projects like SeeHerTech addressing female visibility in high-tech sectors. She teaches core courses such as 'International Business' (BSc) and 'International Comparative Management' (MSc), emphasizing practical application and global perspectives. Research interests span international management, cultural diversity, and technology's role in entrepreneurship. She leads the BMBF-funded SeeHerTech project (2024–2027), developing AI tools to support female entrepreneurs' communication strategies. Collaborations include the Technical University of Munich and industry partners like coolnis and UFUNDI. Her teaching integrates real-world projects, such as the X-Culture program for intercultural virtual teams. She has published extensively on topics like robot leadership, entrepreneurial ethics, and gender stereotypes in recruitment. Current research explores human-AI collaboration, leadership behavior in robotics, and innovation in Asian business contexts. Grants include Federal Ministry of Education and Research (BMBF) funding for SeeHerTech. Her work bridges academic research with practical tools, aiming to enhance international teamwork and equity in tech industries.

Ulrich Reinhardtمشاهده پروفایل

استاد

• Futures Studies
• Social Change
• Work and Leisure Studies
• +۳ مورد دیگر

Prof. Dr. Ulrich Reinhardt holds the Professorship for Empirical Futures Research at the Department of Economics at the West Coast University of Applied Sciences. He is the Scientific Director of the BAT Foundation for Future Studies and co-editor of the international journal European Journal of Futures Research . His research focuses on social change, the future of work, leisure behaviors, consumption patterns, tourism analysis, and international comparative studies. He leads projects such as Germany’s Next Years (collaborating with the Federal Chancellery) and pan-European initiatives like The Future Hopes of Europeans . He also co-organizes events such as Delphi Talks Berlin and Hamburg Future Evenings . Additionally, he promotes academic partnerships with American institutions, including annual U.S. excursions for students. His work bridges academic research with practical policy implications, emphasizing societal transformation and future-oriented strategies. Professional Roles: Scientific Director, BAT Foundation for Future Studies Board Member, EBC University of Applied Sciences State Board of Trustees, Stifterverband für die Deutsche Wissenschaft Key Research Themes: Social Change Dynamics Future of Work & Labor Markets Tourism Behavior and Policy International Comparative Studies Leisure Industry Economics Generational Equity and Demographic Challenges Collaborations & Outreach: Reinhardt actively engages in public discourse through forums like Hamburg Future Evenings and academic exchanges with partner universities. His projects often involve cross-sector collaboration to address societal challenges such as urban development, cultural preservation, and policy innovation.

Tsung-Yi Hoمشاهده پروفایل

استاد

• Design Automation for Microfluidic Biochips
• Nanometer Integrated Circuits
• Embedded Systems
• +۳ مورد دیگر

Tsung-Yi Ho is a Professor in the Department of Computer Science at National Tsing Hua University, Taiwan. He holds the Hans Fischer Fellowship at the Technical University of Munich's Institute for Advanced Study (TUM-IAS). His primary research focuses on design automation for microfluidic biochips and nanometer integrated circuits, emphasizing reliability, optimization, and interdisciplinary applications in bioengineering. Ho received his Ph.D. in Electrical Engineering from National Taiwan University in 2005. He has held positions at National Cheng Kung University and National Chiao Tung University before joining National Tsing Hua University. His work bridges algorithmic design with practical biochip fabrication, addressing challenges like contamination control, routing optimization, and fault tolerance in microfluidic systems. His research interests span design automation for emerging technologies, including paper-based biochips and 3D microfluidic architectures. He has pioneered methods for integrating hardware-software co-design principles into biochip development, enhancing both functionality and reliability. His contributions include novel routing algorithms, contamination mitigation techniques, and reliability-aware synthesis frameworks. Ho has authored over 100 publications, including influential papers in IEEE Transactions on CAD and ACM journals. He serves on the editorial boards of multiple top-tier journals and chairs professional chapters for ACM and IEEE. His awards include the Humboldt Research Fellowship, Dr. Wu Ta-You Memorial Award, and Best Paper Awards at VLSI Test Symposium and IEEE Transactions on CAD. His current projects involve optimizing control-fluidic co-design for paper-based biochips and developing AI-driven frameworks for microfluidic functionality prediction. He collaborates widely, leading cross-disciplinary initiatives at TUM-IAS and Taiwan's academic institutions.

• Information Systems
• Databases
• Knowledge Graphs
• +۷ مورد دیگر

Stefan Decker is a full University Professor (Universitätsprofessor) at RWTH Aachen University, Germany, where he heads the Chair of Information Systems and Databases (Informatik 5) within the Faculty of Mathematics, Computer Science and Natural Sciences. He is actively involved in teaching, research, and the supervision of numerous ongoing and completed doctoral, master’s, and bachelor theses. Education & Academic Background Doctorate (Dr. rer. pol.) – field of Information Systems or related (exact institution/year not stated in text). Appointed as University Professor and Chair of Information Systems and Databases at RWTH Aachen University. Research Interests Prof. Decker’s work lies at the intersection of databases, knowledge graphs, semantic web technologies, data science, and cybersecurity . He investigates architectures and algorithms for large-scale, privacy-preserving, decentralized data analytics , develops ontology-driven information systems , and explores the use of large language models (LLMs) for educational technology, anomaly detection, and incident-response playbooks. Additional focal areas include smart energy systems, mixed-reality learning environments, FAIR data principles, and federated machine learning . Scientific Contributions & Trends His recent publications (2022-2025) demonstrate a clear trend toward explainable AI, LLM-enhanced systems, secure data spaces, and semantic interoperability . Key contributions include novel anomaly-detection frameworks for encrypted power-grid communications, knowledge-graph-driven chatbots for higher-education support, and methodological advances in decentralized analytics and FAIR data sharing. These works are disseminated in top-tier venues such as AAAI, IEEE ISGT Europe, ESWC, IDEAL, and various Springer LNCS and IEEE Transactions. Supervision & Grants Doctoral Theses Advised: A. T. Neumann – “Chatbots as professional companions in large-scale community information systems” (2024) S. M. Welten – “Methods for practical data sharing and decentralized analytics” (2025) Master’s Theses Co-Advised: A. R. Küsters – “Object-centric process constraints using variable bindings” (2025) Additionally supervising more than 30 ongoing bachelor, master, and doctoral projects covering topics such as LLM-driven cybersecurity playbooks, knowledge-graph construction for German law, privacy-preserving analytics in smart grids, and mixed-reality learning agents. Principal investigator or senior researcher in large collaborative projects including NFDI4DS, WestAI, champI4.0ns and several EU/national initiatives on sovereign data spaces and AI services. Labs & Teams Prof. Decker leads the Information Systems & Databases (DBIS) Research Group . The group operates well-equipped laboratories for knowledge-graph engineering, mixed-reality applications, privacy-enhancing technologies, and secure distributed analytics . Current team size exceeds 30 researchers including PhD candidates, postdocs, and scientific programmers, supported by national and EU funding streams.

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

• Educational Psychology
• Teacher Education
• Pedagogy
• +۳ مورد دیگر

Prof. Dr. Kathleen Stürmer is a faculty member at the University of Tübingen, affiliated with the Tübingen School of Education (TüSE) and the Hector Institute for Empirical Educational Research . As Deputy Director of TüSE for Internationalization since 2021, she leads initiatives to enhance global collaboration in teacher education. Research Focus: Teacher professional vision, simulation-based learning environments, diagnostic competence development, and technology integration in classrooms. Methodologies: Eye-tracking studies, meta-analytic reviews, and longitudinal analyses of teacher training efficacy. Key Projects: Observer (video-based diagnostic tool), Di-MaL (simulation framework for pedagogical diagnostics), and quality initiatives in digital distance teaching during the pandemic. Her recent publications highlight trends in educational technology (AI, tablets), teacher cognition (professional vision, attention processes), and structural innovations in teacher education programs. She actively develops standardized instruments for measuring pedagogical expertise and explores the impact of individual and contextual factors on instructional quality. Labs & Teams: She collaborates with the Hector Institute for Empirical Educational Research and leads internationalization efforts at TüSE, focusing on interdisciplinary frameworks for diagnostic competence across professions like teaching and medicine.

• Educational Technology
• Artificial Intelligence in Education
• Teacher Professional Development
• +۳ مورد دیگر

Prof. Kira Weber is an Assistant Professor at the University of Hamburg 's Faculty of Education . Her research focuses on AI-driven feedback systems in education, teacher professional development, classroom management, and educational technology adoption. She leads studies analyzing the impact of prompt engineering on AI feedback quality and investigates how teacher educators' AI literacy influences pedagogical practices. Her work bridges educational psychology with technological innovation, emphasizing video-based interventions and peer feedback mechanisms. Her research explores topics such as the role of self-efficacy beliefs in AI tool adoption among student teachers, the effects of expert feedback on pre-service teachers' competencies, and the influence of socioeconomic factors on teacher professional development needs. She has published extensively on professional vision measurement, reflective practice in teacher training, and digital tools for feedback quality enhancement. Recent studies include analyses of LLMs in educational feedback (2025), mixed-methods investigations of teacher educators' AI literacy (2024), and longitudinal studies on peer feedback expertise development (2022–2023). Her work consistently emphasizes practical applications of research in teacher training programs and classroom settings. Prof. Weber's academic contributions span over 30 peer-reviewed articles since 2017, covering domains from self-concept measurement in primary education to cutting-edge AI applications. She is affiliated with the University of Hamburg's Faculty of Education , contributing to both research and pedagogical innovation.