جست‌وجوی استاد و پژوهشگر

Stefan Borgwardtمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Description Logics
• Automated Reasoning
• +۸ مورد دیگر

Stefan Borgwardt is a Researcher and Teaching Associate at the Chair of Automata Theory, Faculty of Computer Science, Technische Universität Dresden, working under Prof. Franz Baader. He leads key research projects such as Practical Planning with Ontologies (PPO) and contributes to the Center for Perspicuous Computing (CPEC), funded by DFG and SNF. His work bridges theoretical logic and practical AI systems. Research Interests: Knowledge Representation and Reasoning Description Logics and Ontology-Mediated Query Answering Explainable AI and Proof Visualization (Evee/ Evonne systems) Temporal, Fuzzy, and Probabilistic Logics Automated Planning with Ontologies Logic-Guided Natural Language Generation His recent publications (2021–2025) show a strong trend toward explainability in logical reasoning, with a focus on modular, interactive, and user-friendly proof systems. He investigates reasoning complexity in expressive description logics and develops practical tools for ontology explanation and planning. His work often combines symbolic AI with real-world applications such as sensor data interpretation and autonomous systems. Scientific Awards: Harold Boley Distinguished Paper Award (RuleML+RR'23) Best Paper Award (RuleML+RR'22, JELIA'19, AI'15) Quality Champion for ECAI'23 reviewing Commerzbank Award for PhD thesis (2014) Distinguished Student Paper Awards (DL'14, DL'13) N. J. Lehmann Award (2011) Stefan Borgwardt actively advises and collaborates with students and early-career researchers on projects involving explanation, planning, and reasoning. He has secured competitive funding through DFG and SNF grants and plays a leadership role in the KR community as PC co-chair, senior PC member, and steering committee member for major conferences like DL, KR, and JELIA. He is also a reviewer for top-tier journals including Artificial Intelligence and Journal of the ACM . Labs and Teams: He is a core member of the Chair of Automata Theory at TU Dresden and contributes to the Center for Perspicuous Computing (CPEC), where he works on projects A3 (Description Logic Explications) and E2 (Safe Handover in Mixed-Initiative Control) in collaboration with Vera Demberg and Antonio Krüger.

Constance Richterمشاهده پروفایل

استاد

• Human-Centered Design
• User Experience (UX)
• Information Design
• +۱۲ مورد دیگر

Professor Dr. Constance Richter is a faculty member at Aalen University, affiliated with the Faculty of Optics and Mechatronics and the Human Centricity department. She serves as Vice Dean and Dean of Studies, demonstrating significant academic leadership. Her work spans teaching, research supervision, and applied projects in human-centered design and user experience. Her research interests lie at the intersection of human-computer interaction, information design, and digital transformation. She focuses on user experience in automotive interfaces, virtual reality for education, AI in technical communication, and organizational UX maturity. Her work emphasizes practical application, often in collaboration with industry leaders like Porsche, Bosch, and Mercedes-Benz. The supervised theses reflect a strong trend toward applied research in adaptive interfaces, usability, digital twins, and immersive technologies. Her publications, inferred from thesis titles and abstracts, span topics from VR learning environments to AI integration in product development, indicating a multidisciplinary and industry-relevant research profile. Scientific Awards: No awards mentioned in the provided text. She actively supervises numerous bachelor's and master's students, guiding research in UX, technical communication, and digital innovation. Her projects often involve prototyping, user testing, and real-world implementation, supported by industry partnerships. She is involved in educational innovation, including hybrid learning and virtual workspaces. She leads and contributes to initiatives in digital transformation, including the development of digital mindsets, lean UX practices, and the use of VR in academic settings. Her work extends to organizational change, as seen in projects on becoming UX-driven companies and adapting to post-pandemic work environments.

• Cybernetics
• Computational Architecture
• Digital Twins
• +۷ مورد دیگر

Liss C. Werner is a computational design researcher at Dessau International Graduate School of Architecture , focusing on the intersection of cybernetics, architecture, and digital systems. Her work explores bio-computational reactors, digital twins for buildings, and slime mold-based architectural models. She contributes to urban planning through GIS-based tools and investigates historical cybernetic principles in design. Key Research Areas: Cybernetics, computational architecture, bio-digital integration, digital twins, and urban systems. Collaborations: Projects with scholars in Germany, Austria, and Sweden, including studies on microbial fuel cells and particle physics applications. Theoretical Contributions: Extended Gordon Pask's Conversation Theory into architectural design, proposed 'sixth ecology' frameworks, and critiqued bio-digital fantasies in design. Tools & Methods: Uses Python OpenCV, Grasshopper/Rhinoceros, Arduino-Uno, and parametric CAD environments for bio-reactor monitoring and urban optimization. Publications: 15 recent works cover topics from digital infrastructure in the Anthropocene to cybernetic feedback mechanisms in architecture, with a focus on adaptive geometries and human-machine co-evolution.

Alexander Verlمشاهده پروفایل

استاد

• Industrial Robotics
• Control Engineering
• Mechatronics
• +۵ مورد دیگر

Prof. Dr.-Ing. Alexander Verl is a leading academic at the University of Stuttgart , serving as Principal Investigator at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) . His work bridges control engineering , industrial robotics , and digital twin technologies to enhance precision in manufacturing systems. Research Interests : Improving positioning accuracy of industrial robots through transmission error modeling and compliance compensation. Developing adaptive preload control mechanisms for cable-driven parallel robots and rack-and-pinion systems. Advancing IT/OT convergence via Time-Sensitive Networking (TSN) and cloud-edge integration. Creating digital twin platforms for real-time simulation and quality monitoring in CNC machining. Exploring deep learning applications for perception of deformable linear objects in automation. Recent Work Trends show expertise in: smart manufacturing , Industry 4.0 , and data-driven control systems . Publications emphasize practical validation through industrial testbeds (e.g., KUKA KR210–2 robotics, CNC machine simulations) and theoretical contributions to elastokinematic models and nonlinear dynamics . Advising & Grants : Collaborates extensively with researchers like Armin Lechler and Michael Neubauer. Projects funded through academic-industry partnerships in automotive production, precision engineering, and Gaia-X-based data ecosystems.

• Software Engineering
• Computing Education
• Computational Thinking
• +۶ مورد دیگر

Jocelyn Simmonds is a faculty member in the Department of Computer Science at the University of Chile, Faculty of Physical and Mathematical Sciences. Her research spans software engineering, computing education, and gender diversity in STEM. She has published extensively in top-tier venues and collaborates with leading researchers in the field. PhD in Computer Science, University of Toronto, 2011 Extensive publication record from 2003 to 2025 Key collaborator: María Cecilia Bastarrica, Nancy Hitschfeld-Kahler, Francisco J. Gutierrez Her primary research interests include software engineering education , computational thinking for K-12 and vocational schools, and gender diversity and inclusion in computer science and software engineering. She has led initiatives to integrate computational thinking into teacher training and has studied the impact of affirmative action on female enrollment in CS/SE programs. Her recent publications reflect a strong trend toward computing education and social aspects of software engineering, particularly focusing on diversity, inclusion, and pedagogical methods. Earlier work was more technical, covering model-driven engineering, software process lines, and runtime monitoring of web services. Scientific Awards: No awards explicitly mentioned in the provided text. Jocelyn Simmonds has advised and collaborated with several students and researchers, including Constanza Diaz, Carlos Estay, Maíra Marques, and others, particularly in projects related to computational thinking and educational interventions. She has been involved in national training programs and initiatives to promote women in computing. Her work often involves empirical studies and systematic literature reviews, contributing both to technical software engineering knowledge and to the understanding of social dynamics in computing education. Laboratories and Research Teams: Collaborates with the research group at the Department of Computer Science, University of Chile. Active participant in international research collaborations, particularly in software engineering and computing education communities.

• Robotics
• Computer Vision
• Industrial Automation
• +۴ مورد دیگر

Oleksandr Semeniuta is an active researcher specializing in robotics, computer vision, and industrial automation systems. His work demonstrates consistent contributions to the field with publications spanning from 2015 to 2022, indicating ongoing academic or research activity. His collaborations with researchers like Petter Falkman across multiple publications suggest established research partnerships in the robotics domain. Dr. Semeniuta's research interests center around practical applications of robotics and computer vision in industrial settings. His work encompasses event-driven architectures for data processing and robot control, stereo calibration methods for 3D reconstruction, and resource-aware machine learning for IoT security. His research shows a strong focus on developing practical frameworks and systems that address real-world challenges in manufacturing and industrial automation. The publication trends reveal a consistent focus on robotics systems engineering, with particular emphasis on vision-based solutions and event-driven architectures. His work bridges theoretical computer vision concepts with practical industrial applications, especially in automotive manufacturing and robotic deburring systems. The research demonstrates progression from foundational work on dataflow programming for vision systems to more complex implementations of machine learning on edge devices for security applications. While specific awards are not documented in the available publication records, the consistent output in reputable venues including IEEE conferences and PeerJ Computer Science indicates recognition within the academic community. His work appears in both journal and conference publications, suggesting a balanced approach to disseminating research findings through different academic channels. Dr. Semeniuta's collaborative network includes researchers from various institutions, with Petter Falkman appearing as a frequent co-author across multiple projects. This suggests participation in research teams focused on industrial robotics and computer vision applications. His work on frameworks like EPypes indicates contributions to software infrastructure that enables more efficient development of robotic systems and data processing pipelines.

Matthias Tichyمشاهده پروفایل

استاد

• Domain Specific Languages
• Model-Driven Software Engineering
• Self-Adaptive Systems
• +۴ مورد دیگر

Prof. Dr. Matthias Tichy is a Full Professor and head of the Institute of Software Engineering and Programming Languages at Ulm University, Germany, since 2015. His research focuses on domain-specific languages (DSLs), model-driven engineering (MDE), self-adaptive software , and cyber-physical systems , with an emphasis on safety-critical applications and graph transformation formalisms. He employs empirical research methods to evaluate technical contributions and human factors in software engineering. University: Ulm University Role: Professor & Institute Head Research Interests span domain-specific languages for mechatronic systems, collaborative modeling , performance prediction in model transformations, and software evolution in industrial contexts. His work often bridges graph transformations and safety assurance for self-adaptive systems. Recent Publications highlight trends in model versioning (e.g., operation-based caching), DSL design (e.g., flowR for R code analysis), and automotive software testing (e.g., clustering test case specifications). He frequently collaborates with international institutions on topics like cyber-physical systems and IoT resilience . Key Collaborations include projects with Chalmers University, University of Gothenburg, and industrial partners like dSPACE GmbH. His grants and industry partnerships focus on automotive software , robotics , and self-healing systems .

• Automated Theorem Proving
• Machine Learning
• Formal Verification
• +۶ مورد دیگر

Konstantin Korovin is a Reader at the Department of Computer Science, The University of Manchester. He has held various academic roles including Senior Lecturer (2015-2023), Royal Society University Research Fellow (2007-2015), and Research Associate (2004-2007). Current research focuses on automated theorem proving , machine learning integration , and verification of hardware/software . His work includes developing systems like iProver , iProver-ML , and SMLP , which combine formal methods with ML techniques. Key contributions span non-linear constraint solving , quantified Boolean logic , and DNA computing . He has won over 20 international awards, including SMT-COMP and CASC categories. Scientific Awards : Ackermann Award, Best Thesis Prize, Best Paper at FroCoS'19, CASC and SMT-COMP prizes. He supervises PhD and postdoc researchers, with alumni working at Intel, Google, and MathWorks. His tools are applied in industry, notably by Intel for hardware optimization.

• Computational Engineering
• Model-Based Development
• Production Engineering
• +۳ مورد دیگر

Julia Kowalski serves as Professor and Chair of the Department of Methods of Model-Based Development in Computational Engineering at RWTH Aachen University's Faculty of Mechanical Engineering. She holds dual appointments on the Steering Committees for the university's Profile Areas in Production Engineering (ProdE) and Modeling & Simulation Sciences, operating from the Collective Building of Mechanical Engineering in Aachen, Germany. Her research integrates computational engineering with geohazard prediction and cryorobotics, developing advanced numerical methods for multiphysics problems including ice-penetration probes, landslide susceptibility mapping, and wind-energy systems. She pioneers machine learning applications that bridge physical models with engineering design while championing FAIR data principles across cryosphere and geohazard research domains. Current projects focus on model coupling techniques for environmental flows and space exploration technologies. Analysis of her 15 most recent publications reveals dominant trends in surrogate modeling for geotechnical stability, cryorobotic exploration systems, and FAIR data frameworks for environmental science. Her work consistently bridges machine learning with physical modeling across renewable energy, planetary science, and natural hazard mitigation through international collaborations like the TRIPLE project. Scientific awards are not documented in provided materials, though her leadership in DLR-funded space exploration initiatives and editorial roles in topical collections indicates significant recognition. As department chair, she oversees graduate advising and research direction within her computational engineering group, with active grant funding evidenced by German Space Agency collaborations and multi-institutional projects targeting geohazard prediction and cryosphere exploration. Her work demonstrates strong industry-academia-government partnerships. Kowalski leads the Methods of Model-Based Development research group, which operates as an integrated lab for numerical simulation, model coupling, and data-driven engineering solutions. Future work focuses on enhancing uncertainty quantification in geohazard models, advancing cryorobotic technologies for extraterrestrial environments, and developing robust frameworks for FAIR geoscientific data.

• Agent Technology
• Artificial Intelligence
• Autonomous Driving
• +۹ مورد دیگر

Prof. Dr.-Ing. habil. Dr. hc Sahin Albayrak is a distinguished academic and entrepreneur at the Technical University of Berlin , where he founded and directs the Distributed Artificial Intelligence Laboratory (DAI Laboratory) . He leads the Agent Technologies in Business Applications and Telecommunications research group and serves as founding member of Deutsche Telekom Laboratories (2004) and European Center for ICT (EICT) (2005). As initiator of Connected Living e.V. (2009) and managing director of German-Turkish Advanced Research Center for ICT (2012), he bridges international collaborations. He also founded IOLITE GmbH (2014) and other startups. Research Focus: Agent technology, autonomous driving, smart cities, cyber security, machine learning, and AI applications in energy systems Awards: Federal Cross of Merit (2014), multiple Best Paper Awards Leadership: Director of DAI Laboratory, head of research group at TU Berlin His 20+ recent publications (2022-2025) demonstrate expertise in agent-based architectures , smart mobility solutions , context-aware computing , and AI-driven security systems . Notable trends include integrating large language models into database interfaces, optimizing multi-agent coordination for logistics, and advancing explainable AI through feature attribution frameworks. Scientific Contributions: Recipient of Germany's Bundesverdienstkreuz for German-Turkish cooperation Best Paper Award at Smart Grid Architectures conference

• Networked Control
• Data-driven Control
• Human-centered Control
• +۷ مورد دیگر

Dandan Zhang is a PostDoc researcher at the Technical University of Munich (TUM), affiliated with the Chair of Information Technology for Control (ITR) under Prof. S. Hirche. Her work focuses on advanced control systems and robotics. University: Technical University of Munich Department: Chair of Information Technology for Control (ITR) Email: dandan.zhang@tum.de Research Interests: Networked Control and Cyber-Physical Systems Data-driven Control and Machine Learning Human-centered Control and Rehabilitation Robotics Bio-inspired Design and Cooperative Robotics Clinical decision-support and Motion Modeling Projects: Active involvement in international research initiatives including Horizon Europe: SeaClear2.0, DFG-funded projects, and collaborative efforts in 6G-Life and human-centered robotics.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۳ مورد دیگر

Long Wen is a Lecturer at the Technical University of Munich within the Department of Computer Science, affiliated with the Chair for Robotics, Artificial Intelligence and Real-time Systems led by Prof. Alois Knoll. He teaches the Masterseminar on Human-Robot Interaction (IN2107, IN4718) for the Winter semester 2024/25 and maintains an active research profile in robotics and AI. Office: 5607.03.054, Boltzmannstr. 3(5607)/III, 85748 Garching bei München Contact: long.wen@tum.de | +49 (89) 289 - 18112 His research concentrates on Robotics, Artificial Intelligence, and Real-time Systems with specific expertise in safety-critical control for mobile robots, autonomous driving architectures, and virtualization for software-defined vehicles. Wen investigates human-robot interaction paradigms, cloud/fog computing for robotics applications, and anomaly detection in industrial processes, emphasizing real-time performance and adaptive control in dynamic environments. Analysis of Wen's 10 publications (2023-2025) reveals a cohesive research trajectory focused on deploying AI-driven solutions in safety-critical robotics systems. Key trends include meta-learning for obstacle navigation, containerized microservice architectures for autonomous vehicles, and Gaussian process applications in uncertain control models. His work bridges theoretical control theory with practical implementations in ROS 2 frameworks and automotive virtualization. Scientific awards: No awards or fellowships were documented in the source material. Wen collaborates extensively with Prof. Alois Knoll's research group on grant-funded projects related to autonomous systems, though specific funding sources and student supervision details remain undisclosed in the provided text. He contributes to the Robotics, AI and Real-time Systems laboratory at TUM, where his team develops containerized architectures for autonomous driving software and evaluates virtualization technologies for software-defined vehicles, with recent work presented at ICRA, IROS, and IEEE conferences.

Alireza Abbasimoshaeiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Haptics
• Rehabilitation Engineering
• +۵ مورد دیگر

Dr.-Ing. Alireza Abbasimoshaei is a postdoctoral researcher at the Hamburg University of Technology (TUHH), affiliated with the Institute of Mechatronics in Mechanical Engineering (M-4) . His work focuses on robotics, haptics, and rehabilitation engineering. Current role: Research Fellow at TUHH Past roles: Visiting scientist at TU Braunschweig; Doctoral student at Tarbiat Modares University Education: Master's in Mechanical Engineering (University of Tehran); Bachelor's in Mechanical Engineering (Mazandaran University) Research Interests : Specializing in robotics , haptics , and rehabilitation engineering , his work bridges advanced robotic systems with practical applications in telerehabilitation, telemedicine, and assistive technologies. Key areas include: Wearable robotic devices Cloud-based control systems Immersive virtual rehabilitation environments Intelligent control strategies DevOps/Cloud development Publications & Research Trends : With over 30 peer-reviewed publications, his work spans tactile interaction optimization, sensor integration, and control system development. Recurring themes include haptic feedback mechanisms, AI-driven rehabilitation systems, and wearable PCB implementations. Scientific Awards : First place in Iranian World Robot Olympiad Elite Awards from National Elite Foundation of Iran Secured BMBF and DFG funding Social Innovation Award (Hamburg Maker Challenge) Hamburg Teaching Award for hybrid lectures Teaching & Mentorship : Lecturer in courses like Applied Mechatronic Design Methodology and Haptic Technologies , he has supervised over 40 students in projects ranging from Ultrasound haptic devices Eye-tracking control systems Whisker sensor development Exoskeleton design Labs & Projects : Co-developer of TUHH's Haptics Lab and the VRobotia educational robotics platform.

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +۵ مورد دیگر

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing

Ivo Boblanمشاهده پروفایل

استاد

• Bionic Robotics
• Human-Robot Interaction
• Pneumatic Actuators
• +۷ مورد دیگر

Prof. Dr.-Ing. Ivo Boblan holds a professorship at the Berlin University of Technology within the Department of Electrical Engineering . He leads the Compliant Robotics Lab (CoRoLab) and teaches modules in Cognitive Robotics , Pneumatic Robotics , Soft Robotics , and Bionics . His research focuses on biologically inspired robotics, human-robot interaction, and compliant actuator systems. Key research themes include: Development of bionic robotic systems like ZAR5 and BROMMI-TAK Integration of pneumatic muscles and fluidic actuators Biologically motivated control systems for compliant robotics Applications in rehabilitation devices and exoskeletons Human-robot interface design with variable stiffness Exploration of anthropomorphism and ethics in robotics His work emphasizes interdisciplinary collaboration across robotics, bionics, and human factors, with significant third-party funding exceeding €8.9 million. He actively contributes to international conferences and standardization efforts in bionic robotics.