جستجوی استاد راهنمای دانشگاهی

Mohamed Kari is a Presidential Postdoctoral Fellow at the Department of Computer Science, Princeton University , and an Associate Member at the University of Duisburg-Essen 's Integrated Information Systems research group. His work bridges Mixed Reality , Human-Computer Interaction , and Machine Learning , with a focus on semantically coherent, sensor-rich systems. PhD in Computer Science from University of Duisburg-Essen (with highest distinction) Fulbright Full Grant recipient for studies in the U.S. Research Interests span immersive technologies, sensor integration, and context-aware systems. He investigates how to seamlessly blend virtual actions with physical environments through Scene Responsiveness and develops audio-augmented reality applications like SoundsRide for automotive contexts. Article Trends reveal his focus on environmental manipulation in mixed reality affordance-synchronized user experiences pose-aware object substitution mobile and constrained VR input methods automotive context modeling Scientific Awards include Best Paper Awards at ACM UIST 2021 and 2023 Honorable Mention , as well as recognition for his dissertation with the highest distinction. Thesis Supervision at UDE involves rigorous requirements: English-language theses using LaTeX , original research with structured problem statements, and mandatory video presentations of contributions. He has guided students in topics like Intra-Company Networking Platforms and Automated UI Testing . Laboratory Affiliations include Princeton's Situated Interactions Lab , ETH Zurich's Sensing, Interaction & Perception Lab , and industry labs at Apple , Meta , and Porsche Emerging Tech Research .

• Human-Computer Interaction
• Mixed Reality
• Computer Graphics
• +۵ مورد دیگر

Sebastian Bouschery is a scientific researcher at the Institute of Technology and Innovation Management (TIM) at RWTH Aachen University. Holding an M.Sc. in Industrial Engineering with Mechanical Engineering specialization from RWTH Aachen, he leads workstreams in the Cluster of Excellence "Internet of Production" and coordinates the Innovation Honors Class. Education: M.Sc. in Industrial Engineering (2020), B.Sc. in Industrial Engineering (2018) Leadership: Project lead for SPAICER initiative; Ombudsperson at TIM His research focuses on Artificial Intelligence integration in innovation management, particularly hybrid intelligence systems combining human and AI capabilities for optimizing innovation processes and organizational transformation. Recent work explores cognitive load balancing, automation bias, and transformer-based language models in collaborative ideation. Key trends across his publications reveal expertise in Human-AI Collaboration for innovation, with emphasis on creativity enhancement, team workflow optimization, and ethical AI implementation in production environments. Scientific Awards: Add-on Fellowship for Interdisciplinary Economics (2024) PDMA Doctoral Dissertation First Place (2024) Albert L. Page Award (2023) JPIM Cited Article Award (2022/2023) Frontiers in Service Best Paper (2023) IPDMC Christer Karlsson Award (2023) PDMA Dissertation Runner-Up (2022) Innovation Honors Class Top 10% (2018) Bouschery supervises thesis projects and teaches executive education in innovation management. His work bridges Digital Transformation theory with practical implementation, particularly in manufacturing resilience and technology acceptance frameworks.

• Artificial Intelligence in Innovation Management
• Hybrid Intelligence
• Organizational Change
• +۳ مورد دیگر

Michael Pradel is a Professor at the University of Stuttgart , leading the Software Lab within the Computer Science Department . He is also a faculty member at the International Max Planck Research School for Intelligent Systems and a member of the Stuttgart ELLIS Unit . Education: Studied computer science at TU Dresden and Ecole Centrale Paris , with a master thesis at EPFL . Completed his PhD at ETH Zurich on program analyses for error detection. Research Interests: Focuses on software engineering , machine learning for code , program analysis , quantum software testing , and automated program repair . His work integrates LLMs for tasks like code execution, bug detection, and test generation. Scientific Awards: Ernst-Denert Software Engineering Award Emmy Noether grant (1.3M Euro) by DFG ERC Starting Grant (1.5M Euro) ACM SIGSOFT Distinguished Paper Awards (FSE, ISSTA, ASE, ASPLOS, MSR) ACM Distinguished Member Students: Supervised Matteo (PhD on quantum software testing), Luca Di Grazia (postdoc at USI Lugano), Beatriz Souza , Huimin Hu , and Doehyun Baek (PhD students). Collaborated with visiting professors like Cristian Cadar (Humboldt Research Award). Service: Holds leadership roles in top conferences including PC co-chair for FSE 2027, area chair for ICSE 2026, and associate chair for OOPSLA 2026. Current Projects: Developing techniques like DyLin (dynamic linter for Python), Testora (regression detection via NL intent), and LintQ (static analysis for quantum programs). His lab explores neural software analysis , code search , and LLM agents for program repair.

• Software Engineering
• Program Analysis
• Machine Learning for Code
• +۶ مورد دیگر

Nijat Mehdiyev is a Researcher at the Institute for Business Information Systems at the German Research Center for Artificial Intelligence (DFKI). He actively contributes to interdisciplinary projects at the intersection of artificial intelligence, human-computer interaction, and business process modeling. His work focuses on enhancing AI systems with explainability and uncertainty quantification for practical industrial applications. Projects : UNICORN (human-centered dialogue systems), EVIDENT (AI battery optimization), ExPro (ML forecasting for production planning), KOSMOX (counterfactual explanations), MES4SME (MES data-driven production optimization) His research integrates explainable AI (XAI) methods with cognitive modeling and human-computer interaction principles to develop practical AI solutions for process intelligence. Recent work explores large language models (LLMs) for conversational business process modeling and uncertainty-aware predictive monitoring systems. Key article themes include: Application of LLMs to business process modeling Uncertainty quantification in predictive process monitoring Counterfactual explanations for scheduling optimization Cognitive modeling in AI explanation design Human-AI collaboration frameworks Industrial applications of ML forecasting

• Explainable AI (XAI)
• Human-Computer Interaction (HCI)
• Machine Learning
• +۳ مورد دیگر

Prof. Thomas H. Kolbe is a full-time faculty member at the Technical University of Munich , holding the Chair of Geoinformatics . His research focuses on spatial-temporal-semantic modeling and 3D/4D urban environments , with expertise in digital twins , CityGML standards , and smart city infrastructure . Initiator of international standards CityGML and IndoorGML Co-author of 15+ peer-reviewed publications (2025-2024) on 3D city modeling Key projects: 3DCityDB , Smart District Data Infrastructure His work bridges geospatial information science with urban simulation and indoor navigation , emphasizing semantic interoperability and urban sustainability . He leads teams at the Leonhard Obermeyer Center and Munich Data Science Institute .

• Geoinformatics
• 3D/4D City Modeling
• Digital Twins
• +۵ مورد دیگر

PD Dr. Slobodan Ilic is a Senior Key Expert Research Scientist at Siemens AG (since 2014) and an Adjunct Professor at the Chair of Computer Science Applications in Medicine , Technical University of Munich (TUM). His work bridges 3D computer vision and medical imaging , with a focus on real-time object detection, deformable surface modeling, and depth data analysis. Current Roles: Adjunct Professor at TUM, Senior Key Expert at Siemens Research Themes: 6D pose estimation, non-rigid 3D reconstruction, RGB-D data processing Labs: CAMP Chair (TUM), Siemens AG Research Division His recent work explores LLM-driven control systems , semantic-aware 3D generation , and cross-modal medical imaging . Articles highlight advancements in point cloud registration , rotation-invariant descriptors , and hyperspectral calibration . While no specific awards are documented in the provided text, his team at Siemens/TUM advises PhD candidates in 3D vision for robotics and medical applications .

• 3D Computer Vision
• Computer Vision
• Medical Imaging
• +۳ مورد دیگر

Prof. Dr. Klaus Bengler is Full Professor and Chair of Ergonomics at the Technical University of Munich (TUM) , located within the TUM School of Life Sciences Weihenstephan in Garching, Germany. He leads research and teaching activities that integrate human factors engineering with cutting-edge topics such as automated driving, digital twins, and human-centred production systems. Education : While specific degrees are not detailed, his title “Prof. Dr. phil.” indicates a doctoral degree in philosophy or a related discipline and the venia legendi required for a German professorship. Research Interests Human–Machine Interaction – developing user-centred interfaces for complex technical systems. Automated & Connected Driving – studying driver behaviour, trust, and safety in conditionally and fully automated vehicles. Digital Twins & Cyber-Physical Systems – leveraging virtual replicas to sustain long-living human-machine systems in construction and production. Lean Ergonomics – integrating lean management and ergonomics to foster resilient socio-technical production environments. Remote & Teleoperated Systems – analysing human reliability, organisational structures, and interface design for teleoperation. VR/AR Applications – employing immersive technologies for ergonomic design and training. Across more than 35 peer-reviewed publications from 2023–2025, a clear thematic trajectory emerges: leveraging human-centred design to shape the safe introduction of automation across road transport, aviation, and industrial production. Studies repeatedly address longitudinal adaptation, risk-aware AI, pedestrian interaction with automated vehicles, and the organisational embedding of new technologies. Scientific Awards No specific honours or prizes are mentioned in the supplied text. Advising & Funding Landscape While individual student names are not provided, the Chair of Ergonomics hosts a dynamic research group engaged in numerous large-scale projects, including federally funded initiatives on teleoperation and KI-Fabrik. These projects typically involve interdisciplinary consortia with industry partners such as BMW, enabling extensive graduate-level supervision. Laboratories & Teams Prof. Bengler directs the Chair of Ergonomics (www.ergonomie.tum.de), which maintains state-of-the-art facilities: multi-driver connected simulators, VR/AR labs, instrumented vehicles, and industrial demonstrators within the KI-Fabrik pilot plant. The team comprises post-doctoral researchers, doctoral candidates, technical staff, and student assistants working in tight collaboration with national and international partners.

• Human–Machine Interaction
• Automated and Connected Driving
• Digital Twins and Cyber-Physical Systems
• +۶ مورد دیگر

Katharina Hell is a Researcher at the Department of Health Promotion and Prevention within the Ludwig Maximilian University of Munich. Her work focuses on Digital Public Health, Planetary Health, and implementation science, with a strong emphasis on qualitative and quantitative research methods. Research Interests: Digital Public Health and competence development Planetary Health and health promotion Educational technology and STEM learning Process mining for diagnostic reasoning Key Trends in Publications: Katharina's recent research explores adaptive learning technologies, STEM education in augmented reality, gender-inclusive language, and socioeconomic disparities in math education. She also investigates process mining for collaborative diagnostics and service-learning pedagogy. Labs & Teams: Katharina contributes to the Digital Public Health Skills Lab, an initiative under the Chair of Public Health and Health Services Research at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE).

• Digital Public Health
• Health Promotion and Prevention
• Planetary Health
• +۴ مورد دیگر

Prof. Dr. Klaus Henselmann holds the Chair of Business Administration, especially Accounting and Auditing, at the School of Business, Economics, and Social Sciences, University of Erlangen-Nuremberg. His academic journey began at the University of Bayreuth and Aston University, UK, followed by doctorate and habilitation at Bayreuth. He has been a faculty member at Chemnitz University of Technology (1997–2006) and declined offers from institutions like the University of Düsseldorf (2002). Chair of Business Administration (Accounting and Auditing), University of Erlangen-Nuremberg (2006–present) Professor, Chemnitz University of Technology (1997–2006) Education Business Administration, University of Bayreuth Business Administration, University of Aston, Birmingham, UK Doctorate and Habilitation, University of Bayreuth Prof. Henselmann’s research spans Corporate Valuation , XBRL Implementation , and Digital Financial Reporting . He co-founded the European Association of Certified Valuators and Analysts (EACVA) and serves on XBRL Deutschland eV’s advisory board. His work explores Data Mining in Financial Reports , Impression Management in XBRL Tagging , and Regulatory Compliance in Sustainability Reporting . The 15 most recent articles highlight trends in Digital Financial Reporting (XBRL, iXBRL, ESEF), SME Accounting (IFRS 16, valuation models), and Audit Innovation (alternative data, machine learning). Key subfields include regulatory adaptability, technology-driven compliance, and empirical analysis of market impacts. Prof. Henselmann collaborates with interdisciplinary teams under FAU’s Digitalization and Innovation research focus, partnering with Adidas, Siemens, and Fraunhofer Institute. He contributes to initiatives like the German Marketing Excellence Day and advises on EU policy transitions (NFRD to CSRD).

• Corporate Valuation
• Digital Financial Reporting
• Text Mining in Financial Reports
• +۵ مورد دیگر

Hongrui Chen serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich, advancing sustainable building practices and urban planning through cutting-edge research. He holds a Master's degree in Civil Engineering from Karlsruhe Institute of Technology and a Bachelor's in Construction Management from Nanjing Tech University. His educational background includes: M.Sc. in Civil Engineering, Karlsruhe Institute of Technology (2019-2022) B.Sc. in Construction Management, Nanjing Tech University (2014-2018) Chen's research centers on sustainable construction methodologies, energy efficiency optimization, and AI integration in building processes. He specializes in machine learning applications for construction scheduling and natural language processing for performance factor analysis, driving innovation in lean construction and circular economy frameworks within the building sector. His publication record reveals a clear trajectory toward digital transformation in construction, with AI-driven approaches enhancing resource efficiency and project planning. This work directly supports climate-resilient urban development through data-informed building practices. As a teaching assistant at TUM, Chen actively contributes to courses including Sustainable Architecture, Urban and Landscape Planning; Sustainable Building Design in Urban Contexts; and System Effects in Sustainable Civil Engineering Planning, mentoring students in sustainable design principles. Chen operates within the Chair's dynamic research ecosystem, collaborating on high-impact projects like Building Climate–Municipal, CircularGreenSimCity, and Urban Green Infrastructure, which develop integrated solutions for resource-efficient cities and climate-adaptive building systems.

• Sustainable Building
• Energy Efficiency
• Construction Management
• +۳ مورد دیگر

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University's Bowers College of Computing and Information Science. He leads the Capra research group, focusing on breaking down abstraction barriers and rethinking the hardware-software interface. Prior to his current position, he served as an Assistant Professor at Cornell University from 2016 to 2022 and completed his Ph.D. at the University of Washington in 2015 under advisors Luis Ceze and Dan Grossman. His research spans computer architecture, programming languages, and compilers, with a notable focus on approximate computing—the concept that computers can be more efficient if allowed to make controlled mistakes. Sampson has made significant contributions to hardware acceleration, FPGA programming, and type systems for heterogeneous computing. His work bridges the gap between software abstractions and hardware realities, particularly in the realm of accelerator design languages. The publications reveal a consistent trajectory in hardware-software co-design, with recent work focusing on predictable accelerator design, timeline types for hardware description, and geometry types for graphics programming. His research group has produced influential work on tools like Dahlia, a programming language that uses type systems to restrict high-level synthesis programs to subsets with predictable semantics and performance. Cornell Bowers CIS Ann S. Bowers Research Excellence Award (2024) Cornell Bowers CIS Computer Science Faculty of the Year (2024) Distinguished Artifact Awards (ASPLOS 2023, 2024) IEEE TCCA Young Computer Architect Award (2021) NSF CAREER award (2019) Google Faculty Research Award (2016) Sampson has advised numerous Ph.D. students whose dissertations cover topics like geometry types for graphics programming, lightweight formal methods, and compiler-driven autovectorization. His research has been supported by prestigious organizations including NSF, Google, and Microsoft Research. He serves on numerous program committees and has held leadership roles in the computer architecture and programming languages communities, including serving on the ACM SIGARCH Board of Directors.

• computer architecture
• programming languages
• compilers
• +۴ مورد دیگر

Danny Hucke is a researcher affiliated with the University of Siegen, Department of Electrical Engineering and Computer Science. His work focuses on advanced data compression techniques, algorithmic complexity, and formal verification of streaming systems. Education: PhD in Grammar-based compression for strings and trees (University of Siegen, 2019) Research Interests: Driven by challenges in grammar-based compression, empirical entropy metrics, and formal language processing in streaming environments, his research bridges theoretical computer science and practical algorithm design. Key areas include: Data Compression for Trees and Strings Sliding-Window Algorithms Circuit Complexity Algorithmic Entropy Analysis Scientific Contributions: His work has been recognized with a Best Paper Award at SPIRE 2016. Publications span top-tier venues like IEEE Transactions on Information Theory , ACM TOCT , and conferences including ICALP, STACS, and LATIN. Contact: Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstrasse 3, D-57076 Siegen. Email: hucke@eti.uni-siegen.de . Phone: +49-271-740-3415. Office: Room H-A 7104. Collaborations: Conducted research within the group of Prof. Markus Lohrey, collaborating extensively with Moses Ganardi, Louisa Seelbach, and Eric Nöth.

• Data Compression
• Grammar-Based Compression
• Empirical Entropy
• +۳ مورد دیگر

Prof. Dr. Carsten Dreher is a Full Professor of Innovation Management at the School of Business and Economics of the Free University of Berlin. His work focuses on organizational competencies, innovation policy, strategic technology management, and foresight research, particularly in the context of the European Innovation Council . He has held leadership roles including Director of the Center for Cluster Development at FUB (2009-2012) and Head of the Department for Industry and Service Innovations at Fraunhofer ISI (1997-2005). Education : PhD in Business Engineering (1996, University of Karlsruhe), Degree in Business Engineering (1988) Research Interests span innovation ecosystems, policy design for sustainability transitions, agile governance in R&D, and technological absorptive capacity. His work bridges evolutionary innovation economics and practical policy implementation, with a focus on SMEs, energy research, and food system transformations. Recent Publications (2024-2022) emphasize sustainability transitions in energy and agrifood systems, cultivated meat legitimacy, and innovation policy agility. Key projects include food4future , Innovation Policy Orchestra , and IPACST (Intellectual Property for Sustainability Transitions). Awards : No specific scientific awards mentioned Advising and Collaborations include work with Dr. Carsten Schwäbe, Dr. Dagmara Weckowska, and contributions to European Commission expert groups. His laboratory focuses on responsible innovation and sustainability transitions.

• Innovation Management
• Innovation Policy
• Strategic Technology Management
• +۶ مورد دیگر

Dr. Mattias Ulbrich is a Research Fellow at the Institute of Information Security and Dependability (KASTEL) within the Department of Informatics at Karlsruhe Institute of Technology (KIT). His primary research focus lies in formal deductive software verification at the program code level, with special emphasis on relational verification where multiple programs are considered simultaneously. His work spans regression verification, equivalence checking, algorithm refinement, and verification of relational properties of algorithms. His research interests include formal software verification, relational verification techniques, program equivalence checking, information flow security, and intermediate verification languages. Ulbrich has made significant contributions to the KeY project, an integrated deductive software design tool, and has developed various verification tools including rêve for program equivalence checking and SemSlice for precise program slicing. His work bridges theoretical foundations with practical applications in software verification. Analysis of his recent publications reveals a strong trend toward practical applications of formal verification methods, particularly in industrial contexts like automated production systems. His work increasingly focuses on usability of verification tools, integration of different verification paradigms, and application to real-world software systems including JDK components. There's also growing interest in educational aspects of formal methods, as seen in his work on introducing algorithmic thinking to younger students. Ulbrich has supervised numerous Master's and Bachelor's theses across a wide range of verification topics, demonstrating his commitment to mentoring the next generation of formal methods researchers. His teaching activities include courses on formal systems and verification at KIT, with particular focus on teacher education programs in computer science. He is actively involved in the formal methods community, serving on program committees for major conferences including VSTTE, VerifyThis, and ISoLA. Ulbrich has been a steering committee member for VerifyThis since 2019 and has co-organized several workshops and Dagstuhl seminars focused on program equivalence and relational verification.

• Formal software verification
• Relational verification
• Regression verification
• +۷ مورد دیگر

Dr. Nina-Kristin Meister is a prominent researcher in German Sign Language (DGS) linguistics at the Georg-August University of Göttingen's Department of German Philology. Since 2017, she has served as Head of the Sign Language Laboratory and co-edits the bilingual book series "German Sign Language and Deaf Communities." Her collaborative research spans multiple disciplines including linguistics, cognitive science, and educational technology, with a strong focus on accessibility and community engagement. Her research interests center on the structural properties of German Sign Language, particularly nonmanual markers, iconicity, and grammatical structures. She investigates how facial expressions, head movements, and body posture contribute to grammatical meaning in DGS, with significant work on conditionals, imperative markers, and narrative structures. Her research combines theoretical linguistics with experimental approaches, utilizing psycholinguistic methods and corpus analysis to understand sign language processing and structure. Meister's publications reveal a consistent focus on making sign language research accessible while advancing theoretical understanding. Her work spans theoretical linguistics, psycholinguistics, educational applications, and community-based research. She has made significant contributions to understanding iconicity in sign languages, grammaticalization processes, and developing practical resources for sign language education and accessibility. 2018: Wilhelm von Humboldt-Preis der Deutschen Gesellschaft für Sprachwissenschaft (DGfS) 2017: Christian-Gottlob-Heyne-Preis Graduiertenschule für Geisteswissenschaften Göttingen (GSGG) Dr. Meister actively supervises numerous BA and MA theses on diverse aspects of sign language linguistics and accessibility. She leads multiple significant research projects including "From Gesture to Grammar and Lexicon" (funded by Niedersächsisches Ministerium für Wissenschaft und Kultur and VolkswagenStiftung), "Statistik ohne Grenzen" (funded by Stiftung Innovation Hochschullehre), and "Parts of Speech and Iconicity in German Sign Language" (DFG-funded). She co-founded working groups focused on barrier-free educational videos and sign language resources. As Head of the Sign Language Laboratory at Göttingen, she oversees research infrastructure supporting sign language documentation and analysis. Her laboratory work integrates theoretical linguistics with practical applications for accessibility, serving as a hub for interdisciplinary collaboration between linguists, educators, cognitive scientists, and members of the Deaf community.

• German Sign Language Linguistics
• Grammar of Sign Languages
• Nonmanual Markers
• +۶ مورد دیگر