جست‌وجوی استاد و پژوهشگر

Stephan Kruscheمشاهده پروفایل

استاد

• Educational Technologies
• Software Engineering
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Stephan Krusche is a faculty member at the Technical University of Munich (TUM) with the Professorship of Applied Education Technologies in the TUM School of Computation, Information and Technology . He conducts research at the intersection of educational technologies, software engineering, human-computer interaction, and artificial intelligence. Born: 1986 Email: krusche@tum.de Research Interests Education Technologies: Artemis platform, Iris chatbot Software Engineering: Agile development, DevOps, Continuous Delivery Human-Computer Interaction: User experience, Interactive systems AI Applications: Automated feedback, Learning analytics Recent Publications focus on AI-driven educational tools, interactive learning methodologies, and software engineering pedagogy. He organizes international summer schools and serves on the board of directors of the European Society for Engineering Education (SEFI). Scientific Honors Angela Molitoris Diversity Award (2024) Best practitioner report award (2023) Ernst Otto Fischer Teaching Award (2021) Ars Legendi Prize (2020) Pandemic teaching award (2020) Advising covers 60+ theses on topics including Artemis platform development, collaborative systems, and mobile education technologies. He actively promotes diversity through initiatives like ExploreTUM , she.codes , and HackerSchool .

• Enterprise Systems
• IS Architectures
• Digitization of Institutions
• +۶ مورد دیگر

Reinhard Schütte is a Professor holding the Chair for Business Informatics and Integrated Information Systems at the University of Duisburg-Essen since October 2015. His academic career spans multiple prestigious institutions including Zeppelin University Friedrichshafen, the University of Essen (before its merger), University of Koblenz-Landau, and Westfälische Wilhelms-Universität Münster. He has developed a distinguished career bridging theoretical academic work with practical business applications, particularly in retail and enterprise information systems. Professor Schütte's research interests focus on Enterprise Systems, IS architectures, Digitization of institutions, Information modeling, and scientific-theoretical problems of business informatics. His work demonstrates a consistent pattern of exploring the intersection between business administration and information technology, with particular emphasis on practical applications in retail environments. His approach combines theoretical insights with practical experience, emphasizing interdisciplinary thinking in business informatics. His recent publications reveal a strong trend toward examining digital transformation in various sectors including retail, construction, and healthcare. A significant portion of his work investigates how AI and advanced technologies can solve industry-specific challenges, from retail pricing algorithms to enterprise resource planning systems in the cloud era. His research often employs innovative methodologies including neuroimaging, multimethod approaches, and real-world case studies. Best Paper Award for Scene Responsiveness for Visuotactile Illusions in Mixed Reality Best Paper Award for SoundsRide: Affordance-Synchronized Music Mixing for In-Car Audio Augmented Reality Professor Schütte's work has significant practical implications for businesses navigating digital transformation. His research on retail information systems, ERP evolution, and digital marketplaces provides valuable insights for organizations seeking to optimize their technology investments. He has contributed extensively to understanding the business value of IT systems and the paradoxes that arise in their implementation. His teaching covers Enterprise Systems, Enterprise Transformation, Impact and cost-effectiveness of IT systems, Retail Enterprise Systems, and Management of Large Enterprise Systems.

Rupak Majumdarمشاهده پروفایل

پژوهشگر

• Formal Verification
• Computer-Aided Verification
• Reactive Systems
• +۱۰ مورد دیگر

Rupak Majumdar is a Scientific Director at the Max Planck Institute for Software Systems (MPI-SWS), with a distinguished career in formal verification, control systems, and programming languages. His research spans reactive, real-time, hybrid, and probabilistic systems, focusing on verification and synthesis problems in distributed and concurrent environments. Majumdar earned his B.Tech. in Computer Science from IIT Kanpur (where he received the President’s Gold Medal) and his Ph.D. from UC Berkeley (awarded the Leon O. Chua Award). His work has been recognized through prestigious honors including an NSF CAREER Award, Sloan Fellowship, ERC Synergy Grant, and Most Influential Paper Awards from PLDI and POPL. Research Areas: Formal Verification, Hybrid Systems, Stochastic Systems, Programming Languages, Automata Theory Leadership: Scientific Director, MPI-SWS; ISEC 2026 PC Chair His publications address critical problems in software verification, with recent work focusing on probabilistic systems, distributed protocol testing, and reinforcement learning for formal methods. Awards and grants reflect his impact on computer science and software engineering. Current students include Mahmoud Salamati, Ashwani Anand, V.R. Sathiyanarayana, and Mohammad Khoshechin, while graduated advisees hold positions at institutions like Amazon, Google, and academic research centers. Scientific Awards: President’s Gold Medal (IIT Kanpur) Leon O. Chua Award (UC Berkeley) NSF CAREER Award Sloan Foundation Fellowship ERC Synergy Award Distinguished Alumnus Award (IIT Kanpur) Most Influential Paper Awards (PLDI, POPL) Best Paper Awards (SIGBED, EAPLS, SIGDA)

• Machine Learning
• Artificial Intelligence
• Computational Science
• +۳ مورد دیگر

Thorben Markmann is affiliated with the Faculty of Engineering at the University of Bielefeld , where he contributes to the Machine Learning Group under the CITEC research cluster. His research spans interdisciplinary domains, focusing on machine learning applications in fluid dynamics, robotics, and computational modeling. Research Trends: His recent publications highlight the intersection of reinforcement learning , Fourier neural operators , and Koopman-based surrogate models to address challenges in turbulent convection and haptic systems. Key subfields include adaptive kinematic modeling for hand posture estimation and open-source tool development for biomechanical applications. Labs & Collaborations: Markmann operates within the Center for Cognitive Interaction Technology (CITEC) , a multidisciplinary institute advancing human-robot interaction and AI-driven scientific discovery.

Stefan Kuhlinsمشاهده پروفایل

استاد

• Business Informatics
• Information Technology
• E-commerce
• +۶ مورد دیگر

Prof. Dr. Stefan Kuhlins is a Professor of Business Informatics at Heilbronn University's Faculty of Economics. He specializes in Business Engineering Logistics and previously worked at the universities of Mannheim and Regensburg. His research focuses on E-commerce, XML technologies, and enterprise software integration. He also operates as a freelance business information technology specialist. Current: Professor at Heilbronn University (Faculty of Economics) Previous: University of Mannheim, University of Regensburg Specialization: Business Engineering Logistics (formerly Technical Logistics Management) Freelance: E-commerce and software projects Education : Graduate in Business Information Technology Research Interests : His work spans business informatics, information technology, and programming with particular emphasis on database systems, XML standards, and Robotic Process Automation (RPA). He has developed frameworks for enterprise application integration and explored wireless usability metrics through Java software agents. His publications reflect a strong focus on E-commerce systems, XML schema design, and software development methodologies. Publications Trends : His scholarly output from 1993-2018 covers XML technologies, Java applications in enterprise systems, simulation modeling for logistics, and web service integration. The articles demonstrate consistent engagement with software engineering challenges in E-commerce and enterprise contexts. Technical Leadership : Since 2014, he has served as Head of the Internship Office for Business Engineering Logistics (BEL) and Technical Logistics Management (TLM) programs at Heilbronn University. This administrative role complements his technical expertise in systems design. Programming Expertise : With deep knowledge of C++ standard libraries and Java technologies, he has contributed to areas like garbage collection, CORBA optimization, and multithreaded frameworks. His technical work spans from core programming challenges to enterprise-scale integration solutions.

• Educational Technology
• Artificial Intelligence in Education
• Knowledge Tracing
• +۷ مورد دیگر

Penghe Chen is an active researcher in the field of educational technology and artificial intelligence applications in learning systems. His work focuses on knowledge tracing, cognitive diagnosis, intelligent tutoring systems, and adaptive learning technologies. He has contributed extensively to conferences like AIED, ICCE, and AAAI, as well as journals such as IEEE Transactions on Learning Technology. Co-author in 37+ peer-reviewed publications Collaborator with Yu Lu, Yang Pian, Qinggang Meng, and other leading researchers Research Trends: Penghe Chen's work integrates machine learning, reinforcement learning, and large language models to enhance educational systems. Key areas include: Knowledge Tracing Model Interpretation Problem Behavior Diagnosis Social Robotics in Education Context-Aware Learning Technologies Personalized Learning Pathways His recent publications (2024-2025) emphasize explainable AI for educational counseling, response time integration in cognitive models, and LLM-enhanced tutoring systems. No explicit information about awards, students, or institutional affiliations was found in the provided data.

• Performability Evaluation
• Stochastic Modeling
• Learning Analytics
• +۴ مورد دیگر

Gabriel Alves is a Brazilian computer science researcher affiliated with the University of Pernambuco and collaborating with institutions like Federal Higher Education Institutions and Pontifical Catholic University of Minas Gerais. His work focuses on performability evaluation, stochastic modeling, and learning analytics, particularly applied to education technology and transport logistics systems. Research Interests : Performability analysis, stochastic modeling, learning analytics, cyber-physical systems, cloud computing, and green supply chain optimization Key Contributions : Development of Tutoria platform for educational feedback, performability models for BRT systems, and frameworks for AI-driven instructor support tools His publications span journals like IEEE Transactions on Learning Technology and conferences including SMC and EC-TEL, with recent work exploring natural language processing for educational assessment. Current collaborations include researchers from Chile (Dragan Gasevic), Brazil (Rafael Ferreira Mello, Paulo Maciel), and Portugal (Taciana Falcão).

Thorben Schoepeمشاهده پروفایل

پژوهشگر

• AI-driven robotics
• sensing
• event-cameras
• +۳ مورد دیگر

Thorben Schoepe is a Postdoctoral Researcher at the Peter Grünberg Institut (PGI) , specifically within the Neuromorphic Software Ecosystems (PGI-15) department at Forschungszentrum Jülich GmbH. His research focuses on developing robust, low-power, and low-latency event-driven robotic systems for applications in SLAM (Simultaneous Localization and Mapping), object detection, and navigation. Education: B.Sc. in Biomimetics, Westphalian University M.Sc. in Biomechatronics, Bielefeld University PhD in Neuromorphic Sensorimotor Systems, University of Groningen Research Interests: AI-driven robotics Sensing technologies Event-based cameras Hardware-software co-design Neuromorphic computing Low-latency systems

• Industrial Cyber-Physical Systems
• Digital Twins
• Human-Machine Interaction
• +۶ مورد دیگر

Dominik Hujo is a researcher at the Chair of Automation and Information Systems at the Technical University of Munich (TUM). He holds a Master of Science degree and contributes to advanced research in industrial automation and AI integration. His research focuses on industrial cyber-physical systems , digital twins , human-machine interaction , and AI deployment in manufacturing environments . His work emphasizes real-time requirements, embedded systems, and data management for production processes. Dominik's publications from 2023-2025 demonstrate expertise in multi-agent coordination , predictive maintenance , edge-cloud architectures , and SysML modeling for mechatronic constraints . Key application areas include construction machinery, gear assembly, and logistics systems. He actively collaborates with researchers like Prof. Birgit Vogel-Heuser and Marius Krüger on projects such as KI.Fabrik (AI Factory) and OpAI4DNCS (Operator-AI Interaction for Distributed Control Systems).

Kathrin Landمشاهده پروفایل

پژوهشگر

• Automation Engineering
• Industrial Informatics
• Human-Machine Interaction
• +۷ مورد دیگر

Kathrin Land is a researcher at the Chair of Automation and Information Systems at Technical University of Munich (TUM), working under Prof. Birgit Vogel-Heuser. Her research focuses on automation engineering, model-based development, and data-driven optimization of production systems. Key research areas include: Test case scheduling and prioritization Digital twins for industrial applications Technical debt management in automation OPC UA integration in construction robotics Recent publications highlight trends in: Automated test execution frameworks Process mining for production validation Data analytics in food industry separation processes Sanctioning mechanisms for multi-agent systems

• Machine Learning
• Network Security
• Protocol Analysis
• +۴ مورد دیگر

Dr. Sen Zhao is a Professor at Chongqing University of Posts and Telecommunications, School of Computer Science, Department of Network Engineering. His research spans machine learning applications for network security, protocol analysis, and computational fluid dynamics with biomedical applications. His primary research interests include Machine Learning, Network Security, Protocol Analysis, Computational Fluid Dynamics, Fault Diagnosis, Optimization Algorithms, and Biomedical Engineering. Dr. Zhao has developed innovative approaches for binary protocol reversing using deep learning with knowledge-driven augmentation, multi-modal contrastive learning for vulnerability code representation, and reputation incentive schemes for edge tampering detection. Analysis of his recent publications (2021-2025) reveals a strong focus on applying deep learning techniques to network security challenges, with particular emphasis on protocol analysis, device fingerprinting, and secure query processing. His work bridges theoretical machine learning advances with practical security applications in networking and IoT environments. The interdisciplinary nature of his research is evident in his computational fluid dynamics work applied to biomedical problems. Dr. Zhao has mentored numerous students including Jiayuan Li, Zhen Wang, Bo Sun, Yi Zhao, and Haoyu Bin, who appear as first authors on significant publications. His collaborative network includes prominent researchers like Hongsong Zhu, Limin Sun, and Maya R. Gupta across multiple institutions.

Gábor Kismihókمشاهده پروفایل

پژوهشگر

• Learning Analytics
• Artificial Intelligence in Education
• Ontology Engineering
• +۳ مورد دیگر

Dr. Gábor Kismihók is a senior researcher at the Corvinus University of Budapest specializing in learning analytics , ontology engineering , and AI-driven educational systems . His work bridges academic research with practical applications in career development , educational technology , and researcher mental health . Leading Learning and Skill Analytics research group Developing ontology-based educational systems since 2005 Pioneering AI-driven career recommendation ontologies His research focuses on: Personalized learning through knowledge graphs and semantic technologies Academic mental health advocacy and survey design Labor market intelligence integration with educational systems Mobile learning frameworks for vocational education Text mining applications in organizational research Competency validation between education and workplace Recent publications demonstrate expertise in: Large language model integration for adaptive learning Geriatric care technology redefining nursing competencies Skills gap analysis in AI and big data Digital educational federation systems like DALIA FAIR Academic well-being measurement frameworks He has contributed to: Multiple IEEE/ACM conference proceedings (2016-2023) European training networks like INSPIRE and ReMO COST Action Policy development through researcher well-being manifestos

Clemens Westerkampمشاهده پروفایل

استاد

• Computer Science
• Intelligent Distributed Systems
• Industry 4.0
• +۵ مورد دیگر

Prof. Dr.-Ing. Clemens Westerkamp is a full-time professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . With a Ph.D. in Electrical Engineering from Leibniz University Hannover (1996), his career spans academia and industry, including roles as R&D VP at Algovision Systems GmbH and development leader at Controlware GmbH. Research Focus: Applied research in intelligent distributed systems , Industry 4.0 , and IoT , particularly in agricultural contexts. Key projects include PACE (Ambient Communication Systems) and collaborations with Airbus, Stanford University, and agritech firms. Selected Scientific Contributions: Co-author of DIN SPEC 16593 for Industry 4.0 service architectures EU reviewer for Aeronautics and Innovative Training Networks Key member of Industrial Informatics (INDIN) research network Recent Publications analyze satellite networks for agriculture, friction modeling for autonomous systems, and energy-aware embedded software. His work bridges theoretical models with practical implementations in smart farming and remote engineering.

Michael Weberمشاهده پروفایل

استاد

• Interactive Systems
• Mobile and Ubiquitous Computing
• User Interface Software and Technology
• +۴ مورد دیگر

Prof. Michael Weber is currently the President of Ulm University since October 2015 and holds the position of Full Professor and Chair in Media Informatics at the CS Faculty. His career spans over three decades, including roles as Associate Professor at Ulm (1994–2000) and research stints at Siemens Telecooperation Center and DFKI. His research focuses on interactive systems, mobile computing, and automotive-HCI interfaces. Notable contributions include studies on VR player experience, automated vehicle cooperation, and adaptive user assistance systems. Education background includes a doctoral degree (Dr.-Ing.) and prior research at the University of Kaiserslautern (1985–1990). His work bridges academia and industry, addressing challenges in multimodal interaction, context-aware systems, and human-centric design. Research interests emphasize practical applications of media informatics, such as gaze-based driver assistance, emotion-driven game mechanics, and privacy-aware smart environments. His publications span over 20 years, highlighting innovations in both theoretical and applied domains.

Siegmar Ottoمشاهده پروفایل

استاد

• Sustainable Development
• Environmental Psychology
• Behavioral Economics
• +۵ مورد دیگر

Siegmar Otto is a Professor of Sustainable Development and Change at the Faculty of Economics and Social Sciences, University of Hohenheim (since 2022). He holds a PhD in Philosophy (summa cum laude) from Jacobs University Bremen (2007), with prior roles including Acting Professor at the same faculty (2017-2021), Senior Lecturer at Otto von Guericke University Magdeburg (2011-2022), and Lecturer at Eberswalde University for Sustainable Development (2008-2011). His career includes postdoctoral research at ETH Zurich (2008) and the Institute for Ecological Economy Research (2008). Education : PhD in Philosophy (summa cum laude), Jacobs University Bremen (2007) Scientific Assistant, Jacobs Center of Lifelong Learning and Institutional Development (2004-2007) Diploma in Psychology and Media Science, Technical University of Berlin (2001) Research Interests : Focuses on sustainability psychology, behavioral drivers of environmental and prosocial actions, AI ethics, and human-technology interaction. Key themes include climate change mitigation, pro-environmental behavior, and the psychological dimensions of sustainable development. Recent Article Trends : Recent work explores attitudes toward AI (2025), human-robot collaboration (2025), and climate motivation (2024). Themes include ethical AI design, behavioral nudges for sustainability, and the interplay between knowledge and action in ecological stewardship. Awards : Summa Cum Laude Doctorate, Jacobs University Bremen (2007) Grants & Advising : Extensive funding from interdisciplinary sustainability projects. Advises on EU-funded initiatives linking psychology with environmental policy. No named advisees listed in current data. Labs/Teams : Active in interdisciplinary sustainability research groups at University of Hohenheim, focusing on behavioral sustainability and digital transition impacts.