جست‌وجوی استاد و پژوهشگر

Frank Schrödelمشاهده پروفایل

استاد

• Automation Technology
• Robotics
• Control Engineering
• +۳ مورد دیگر

Prof. Dr.-Ing. Frank Schrödel is a Professor of Drive, Automation, and Robotics Technology at Schmalkalden University of Applied Sciences' Faculty of Mechanical Engineering. His research focuses on control engineering, autonomous systems, Industry 4.0, and robotics applications such as social robots and autonomous driving. He leads training laboratories in Automation Technology, Drive Technology/Rapid Control Prototyping, and Robotics, as well as research labs in Industry 4.0 production systems and autonomous driving (in development). Prof. Schrödel holds a PhD in Control Engineering from RWTH Aachen University (2016) and a Diplom in System Technology from Otto-von-Guericke University Magdeburg (2010). His professional career includes roles as Team Leader at IAV GmbH (2016–2020) and Group Leader at RWTH Aachen's Institute of Automatic Control (2010–2016). His work bridges academic research and industry applications, emphasizing frugal innovations and model-based development. Research interests span robust control, model predictive control (MPC), and agile engineering processes. He actively develops educational infrastructure, including low-cost benchmark plants and open lab approaches for Industry 5.0 training. His publications address autonomous systems, collaborative robotics, and smart manufacturing, with a focus on practical implementation and interdisciplinary solutions. Current lab initiatives include nursing robotics (planned) and Industry 4.0 production systems. His work emphasizes human-centered technologies and digital transformation in mechanical engineering, reflecting a commitment to both academic rigor and real-world applicability.

Philip Tinnefeldمشاهده پروفایل

استاد

• Single-Molecule Biophysics
• Super-Resolution Microscopy
• DNA Nanotechnology
• +۶ مورد دیگر

Professor Philip Tinnefeld is a leading academic at Ludwig-Maximilians-Universität München (LMU Munich), serving as Dean of the Faculty of Chemistry and Pharmacy and head of the Tinnefeld Lab. His research integrates molecular biology, physical chemistry, biophysics, and nanophotonics to advance single-molecule detection, super-resolution microscopy, and DNA nanotechnology. Notable contributions include the development of dSTORM and DNA-PAINT techniques, graphene energy transfer (GET), and MXene-based biosensors. He coordinates the EU-funded BioHYBRITE doctoral program and leads interdisciplinary projects at the Center for NanoScience (CeNS). Research Focus: Single-molecule dynamics, DNA origami-based tools, graphene/MXene nanomaterials, and super-resolution microscopy innovations. Recent work includes studies on DNA nanoantennas, force spectroscopy, and MINFLUX-based imaging. Lab Activities: The lab actively publishes in top journals (e.g., Nature Methods, Nature Nanotechnology), hosts international collaborations, and trains PhD students in advanced techniques. Key students include Cindy (PhD 2025), Fiona (2025), and Renukka (2024). Awards include CeNS Publication Awards and funding from EU Marie Skłodowska-Curie Actions.

Jürgen Steimleمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Wearable Computing
• Haptic Interfaces
• +۶ مورد دیگر

Prof. Dr. Jürgen Steimle is a full professor at Saarland University's Department of Computer Science and director of the Human-Computer Interaction and Interactive Technologies Lab. He previously served as Dean of the Faculty of Mathematics and Computer Science (2022–2024), and held roles at MIT (Visiting Assistant Professor, 2012–2014) and the Max Planck Institute for Informatics. His research focuses on embodied and embedded interfaces, including wearable computing, haptic interaction, and novel materials for interactive systems. Education: PhD in Computer Science from TU Darmstadt. Research Interests: On-body interaction, wearable computing, flexible sensors/displays, digital fabrication, and human-robot interaction. His work emphasizes merging technology with the human body and environment to enhance natural interaction. ERC Starting Grant recipient Best Paper Awards at ACM UIST, CHI, and IEEE ICALT Best Dissertation Award 2009 (GI/SI/OCG) Advising & Grants: Supervised over 15 PhD students. Secured grants including an ERC Starting Grant and Google Faculty Award. Current students include Yu Jiang and Arata Jingu. Labs/Teams: Leads the Human-Computer Interaction Lab at Saarland Informatics Campus, focusing on epidermal computing, soft materials, and tangible interfaces.

• Human-Robot Interaction
• Explainable AI
• Medical Assistance Systems
• +۴ مورد دیگر

Dr. Birte Richter is a Research Associate in the Medical Assistance Systems Group at Bielefeld University's OWL Medical Faculty, with additional roles as Associate Member in TRR 318 subprojects (A03 and A05) and Board Member at the Center for Cognitive Interaction Technology (CITEC). She contributes to university governance as Deputy Member of the Research Commission. Her research integrates Human-Robot Interaction , Explainable AI , and Medical Assistance Systems , with particular focus on adaptive scaffolding in explanatory dialogues, attention modeling in therapeutic contexts, and emotion-aware explanation frameworks. She develops intelligent systems for ADHD therapy, smart home interactions, and healthcare knowledge transfer. Richter's publications demonstrate strong interdisciplinary trends across robotics, cognitive science, and digital health. Dominant themes include: Explainable AI frameworks for decision support systems Virtual agents for cognitive and attention training Neuro-cognitive measurements in HRI Teletherapy adoption during health crises Smart home interaction paradigms She leads significant research initiatives including: DFG-funded TRR 318 Subproject A05 on attention parameterization in explanatory dialogues TRR 318 Subproject A03 on emotionally-oriented AI explanations Cross-disciplinary Focus Area: Interactive integrative AI for cognitive impairments

• Machine Learning
• Natural Language Processing
• Cybersecurity
• +۵ مورد دیگر

Cécile Paris is a researcher at CSIRO , focusing on interdisciplinary applications at the intersection of Artificial Intelligence , Cybersecurity , and Human-AI Collaboration . Her work spans domains such as biomedical informatics, social media analysis, and robotics. Research Interests: Developing collaborative frameworks for human-AI teams Explainable AI in cybersecurity Trust modeling in social networks Fake news detection via temporal and graph-based networks Image captioning with multimodal learning Stance classification across domains Article Trends: Recent publications emphasize adaptive alert prioritization (2025), systematic reviews on cybersecurity challenges (2024), and foundational work in NLP for epidemic intelligence (2018-2020). Key methodologies include graph neural networks, transformer models, and adversarial training.

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.

• Supply Chain Management
• Logistics
• Risk Management
• +۳ مورد دیگر

Prof. Dr. Michael Huth is a full professor at Fulda University of Applied Sciences, where he has served in the Department of Business since 2006. He specializes in Logistics and Supply Chain Management, leading the master's program in Supply Chain Management since 2009. Previously, he held academic positions at institutions including the University of the Free State (South Africa), Tomas Bata University (Czech Republic), and California State University San Bernardino. His educational background includes a PhD from Goethe University Frankfurt (2003), where he researched risk management in dangerous goods transportation. He completed studies at Southampton University (UK) during his business administration degree at Goethe University (1990-1995). Huth's research focuses on supply chain resilience, digital transformation in logistics, risk management frameworks, and sustainable operations. He directs significant projects like Campus FreeCity (modular robotic fleets) and JOINOLOG (Jordan Innovation Center for Logistics). Current investigations examine ESG risks, pandemic-related disruptions, and technology adoption in supply chains. His work consistently addresses both theoretical models and practical industry applications. Publication analysis reveals three dominant themes: 1) Risk management evolution in global supply chains, especially post-pandemic resilience; 2) Digitalization strategies and technology implementation frameworks; 3) Sustainable logistics integration and ESG compliance. Methodologically, his work emphasizes empirical industry surveys, case studies, and applied solutions for logistics enterprises. Huth leads multiple externally funded projects including federal initiatives from the German Ministry of Transport and BMBF. He coordinates research teams investigating logistics infrastructure, automation, and international supply chain collaboration. Current projects include Campus FreeCity (2021-2024) and JOINOLOG implementation (2021-2024). He directs the 'HFD at HOLM' research initiative and supervises doctoral candidates through the Doctoral Center Mobility and Logistics. His team includes research associates working on projects like LogRegio and Campus FreeCity.

Ann Sychterzمشاهده پروفایل

استادیار

• Structural Engineering
• Sustainable and Resilient Infrastructure Systems
• Adaptive Structures
• +۳ مورد دیگر

Ann Sychterz is an Assistant Professor at the University of Illinois Urbana-Champaign in the Civil and Environmental Engineering department. She leads the SMARTI Lab, focusing on adaptive structures, tensegrity systems, and machine learning for civil infrastructure. Her research integrates computational design with experimental validation to create deployable systems for climate resilience. PhD, Swiss Federal Institute of Technology Lausanne (2018) M.A.Sc, University of Waterloo (2014) B.A.Sc, University of Waterloo (2012) Her research interests span structural dynamics, form-finding, machine learning, and adaptive infrastructure. Recent work involves MLRAM materials for tensegrity structures, origami-based coastal anchors, and sensor-actuator optimization. 2024-2025 highlights include a Visiting Professorship at University of Stuttgart and SEAOI Outstanding Young Engineer Award . Key trends across her 2023-2025 publications include: Advancements in tensegrity and origami structural modeling Integration of machine learning for damage detection Functionally graded materials for geotechnical applications Experimental validation of full-scale deployable systems Scientific recognition includes: ASCE SEI Future Leaders Award (2024) Best Paper/Poster Awards (2021-2025) NSERC and Ontario Graduate Scholarships Leadership roles in ASCE Technical Committees She advises PhD students in structural control, oversees the SMARTI Lab, and collaborates with the Beckman Institute and National Center for Supercomputing Applications. Her work addresses climate-driven infrastructure challenges through deployable, biomimetic designs.

Laura Balangéمشاهده پروفایل

پژوهشگر

• Computational Design
• Quality Assurance in Construction
• Sustainable Architecture
• +۳ مورد دیگر

Laura Balangé is a doctoral researcher at the University of Stuttgart's Institute of Engineering Geodesy (IIGS), Faculty 6: Aerospace Engineering and Geodesy. She contributes to the Cluster of Excellence IntCDC through computational design and quality assurance research. Her work focuses on: Holistic Quality Modeling for sustainable construction Terrestrial Laser Scanning applications Coreless Filament Winding fabrication Modular Timber Shell structures Graded Concrete component monitoring Multi-Domain Co-Design frameworks Notable contributions include: 2025: Point cloud datasets for Biomimetic Shell construction 2024: Extended interrelation analysis in quality modeling 2023: Data normalization methods for co-design 2022: Production monitoring for fibrous structures 2021: Graded concrete component verification 2020: Foundational technical quality concepts She supervises academic works in: Geometric quality control Fiber cross-section analysis BIM modeling Neural network object detection Concrete positioning systems Timber fabrication quality Active in the IntCDC cluster, she collaborates with teams across architecture, engineering, and computational design domains.

Rebeca Duque Estradaمشاهده پروفایل

پژوهشگر

• Digital Fabrication
• Computational Design
• Fiber Composite Materials
• +۳ مورد دیگر

Rebeca Duque Estrada is a Doctoral Researcher at the Institute of Computational Design and Construction (ICD) at the University of Stuttgart, affiliated with the Cluster of Excellence IntCDC. Her work focuses on digital fabrication , computational design , and fiber composite materials for architectural applications. She holds a Master of Science in Architecture through the Integrative Technologies and Architectural Design Research (ITECH) program at the University of Stuttgart and a Master of Arts in Open Design from the Humboldt University of Berlin and Universidad de Buenos Aires. Her research involves high-performance lightweight structures and robotic fabrication systems , including projects like Hybrid FRP-Timber Building System and Tailored Clay . Her publications highlight innovations in multi-robot fabrication (e.g., Spatial Winding, Spatial Lacing), visualization for AEC industries, and monitoring fibrous structures using laser scanning. Awards include the DAAD scholarship and Science Without Borders Scholarship . Scientific Awards: DAAD scholarship Science Without Borders Scholarship Key Projects: RP 12-1 – Computational Design for Fibre Composite Building Systems RP 11-2 – Hybrid FRP-Timber Building System AP 37/41/57 – HNFVBauSys, Tailored Clay

Maximilian Nistlerمشاهده پروفایل

پژوهشگر

• Additive Manufacturing in Construction
• Process Automation
• PLC Programming
• +۳ مورد دیگر

Maximilian Nistler is a Doctoral Researcher and Group Leader for "Mechatronic Systems and Processes" at the University of Stuttgart's Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW). He actively contributes to the Cluster of Excellence IntCDC and specializes in additive manufacturing applications for construction. Focus areas: Process automation, PLC programming, and lightweight concrete structures Key projects: Zero-Waste Sand Formworks, modular machine tool platforms (MoNA) His research integrates computational design with advanced manufacturing technologies. Publications demonstrate expertise in: Camera-based process monitoring systems Water-soluble sand formwork techniques Multi-axis 3D printing applications Modular manufacturing platforms Nistler's work bridges traditional construction methods with digital fabrication innovations, particularly emphasizing sustainability and automated processes.

• Artificial Intelligence
• Robotics
• Deep Reinforcement Learning
• +۳ مورد دیگر

Prof. Dr. Malte Schilling works at the University of Münster within the Department of Mathematics and Computer Science . His research focuses on the intersection of Artificial Intelligence , Robotics , and Neuroinformatics , with particular emphasis on Deep Reinforcement Learning and Modular AI Systems . He leads projects like Tutor.AI , a science-based learning assistant, and develops Predictive AI models for e-mobility in trucking . His recent publications highlight innovative approaches in biomimetic robotics , including decentralized controllers for hexapod locomotion and neuroWalknet architecture for context-dependent behavior. He also contributes to graph-based learning models for traffic prediction and explainable AI through counterfactual generation. Collaborative work spans institutions and disciplines, reflecting his interdisciplinary focus. Malte Schilling's research integrates principles from neuroscience and computational biology to enhance AI adaptivity. He applies these insights to robotic systems and real-world challenges like urban mobility prediction. His work demonstrates strong connections between theoretical computer science and practical AI implementations .

• Light and Lighting Technology
• Smart Home Systems
• Semiconductor Technology
• +۳ مورد دیگر

Dr. Nils Habich is a researcher at the Institute of Technology within the Faculty 4: Mathematics, Natural Sciences, Economics and Computer Science at the University of Hildesheim. His work focuses on lighting technology, smart home systems, and semiconductor technology , with significant contributions to educational technology and teacher training . Develops digitalization projects for classroom implementation Organizes continuing education for non-specialist teachers Coordinates university examination systems and maintains eCampus infrastructure Participates in study regulation development and IdeenExpo events Current research emphasizes adaptive lighting systems and technology integration in education , with recent publications on display blue light control and digital classroom tools. He also contributes to engineering pedagogy through robotics projects and technical workshops. His projects span practical applications like weather balloon experiments , quadcopter development , and smart home technologies , reflecting interdisciplinary approaches across physics, computer science, and engineering education.

Peter Urbanمشاهده پروفایل

استاد

• Automotive Engineering
• Vehicle Acoustics
• Electric Vehicles
• +۴ مورد دیگر

Prof. Dr.-Ing. Peter Urban is a Professor and Deputy Director at the Institute of Automotive Engineering, RWTH Aachen University in Germany. His research encompasses automotive engineering with focus areas including vehicle acoustics, electric vehicles, autonomous systems, and safety engineering. He leads initiatives in vehicle design and traffic psychology research. Research Focus: Vehicle acoustics and noise reduction technologies Electric vehicle architecture and battery integration Autonomous delivery systems and urban mobility solutions Crash safety and occupant protection systems Sustainable transportation design His recent publications demonstrate strong emphasis on electric vehicle component integration (battery housings, lightweight structures), traffic noise reduction methodologies, and safety assessments for autonomous systems. Work frequently addresses European standards and certification requirements.

• 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.