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David Golchinfar is a Researcher at the Department of Economics, Bonn-Rhein-Sieg University of Applied Sciences, based in Saint Augustine (space A 117). His work focuses on usability and user experience (UX) in digital technologies, particularly in human-robot interaction, conversational agents, and generative AI applications. Active research areas: Human-Robot Collaboration Generative AI in Education Conversational Agent Usability Virtual Reality UX Service Robotics He contributes to the Mittelstand 4.0 Usability Competence Center, supporting SMEs in optimizing digital product design for enhanced productivity and customer satisfaction. Key projects include the PosiBot initiative (grant 16SV8632) exploring service robotics integration in customer contact scenarios. Recent publications analyze: Large Language Model dataset adaptation RAG-enhanced VR avatars Impediments to conversational agent adoption AI-augmented higher education Human-robot collaboration dynamics His work emphasizes practical implementation of UUX methods for real-world impact. Contact: david.golchinfar@h-brs.de

• Usability
• User Experience (UX)
• Generative AI
• +7 more

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.

• Bionic Robotics
• Human-Robot Interaction
• Pneumatic Actuators
• +7 more

Prof. Dr. Kristian Hildebrand is a Professor of Computer Graphics and Interactive Systems at Berlin University of Applied Sciences and Technology since 2015, leading the Intelligent Interactive Systems research group. His work bridges computer graphics, VR/AR, computer vision, and machine learning. PhD in Computer Graphics (Technical University of Berlin, 2013) Diploma in Computer Science and Media (Bauhaus University Weimar) Academic experience: University of British Columbia, Max Planck Institute Saarbrücken Industry experience: ART+COM Studios Berlin, Disney Research Zurich, co-founder of kunstmatrix Research Interests span computer graphics , AR/VR systems , computer vision , and digital fabrication , with applications in: Medical therapy (AnorexiaVR, PAN-Assistant, VITALAB.mobile) Human-robot interaction (Digit gestures, Non-verbal communication) Machine learning (Domain adaptation, GAN-based medical image synthesis) Digital fabrication (Optimized 3D printing, crdbrd fabrication) Publications show trends in: Medical VR applications for mental health and geriatrics GAN-based medical image generation and segmentation Redirected walking and spatial navigation techniques Domain adaptation for industrial object classification Scientific Contributions : Principal investigator in multiple DFG-funded projects (tele.interaction, Manipulation of virtual self-perception) Recipient of Best Student Paper Award (ECML-PKDD 2023) Key role in BMBF projects: Vitalab.mobile, BewARe, SynthNet Academic Leadership includes: Supervision of PhD students (Christopher Kümmel, Tabea Kossen) Teaching: Computer Vision, Game Programming, Scientific Computing Founding director of Human.VR.Lab (interdisciplinary computer science/life science collaboration)

• Computer Graphics
• Interactive Systems
• Augmented Reality
• +7 more

Dr. Tristan Stöber is a researcher at the Institute of Neuroinformatics (INI), a joint research unit of the Faculties of Computer Science and Medicine at Ruhr University Bochum. His work focuses on understanding fundamental principles of behavior and cognition in biological systems and translating these insights into artificial cognitive solutions through interdisciplinary collaboration. His research spans Computational Neuroscience as the core discipline, integrated with Machine Learning, Artificial Intelligence, Computer Vision, Robotics, Neurophysiology, and Experimental Psychology. This cross-disciplinary approach bridges biological neural mechanisms with engineered systems to address complex information processing challenges. Contact details: Email: tristan.stoeber@rub.de Office: Building NB, Room NB 3/71, Universitätsstraße 150, 44801 Bochum, Germany

• Computational Neuroscience
• Machine Learning
• Artificial Intelligence
• +4 more

Professor Martin Egelhaaf is a faculty member at Bielefeld University's Faculty of Biology, leading the Department of Neurobiology. He also serves as the Rectorate Representative for Research Networking in Medicine and as a Principal Investigator at the Center for Cognitive Interaction Technology (CITEC). Education: Universität Tübingen (undergraduate), University of Sussex (Diploma Thesis), Max Planck Institute for Biological Cybernetics (Doctoral Thesis), University of Tübingen (Habilitation) His research focuses on neuronal mechanisms underlying visually guided behavior in insects, spatial learning, sensory information processing, population coding, virtual reality techniques, active vision strategies, neuromodelling, and bio-inspired robotics. These themes are reflected in his leadership of interdisciplinary initiatives like the DFG Graduate Research Programme and the BMBF Network MONIST. Scientific Awards & Honors: Fellowship from Studienstiftung des Deutschen Volkes (1976–1981) Otto-Hahn Prize of the Max-Planck-Society (1985) External member of the ARC Centre of Excellence in Vision Science (since 2005) He has held administrative roles including Dean of the Faculty of Biology (2002–2004) and Vice-Rector for Research (2006–2021), and currently represents the Rectorate in medical research networking.

• Neurobiology
• Visually guided behavior in insects
• Spatial learning and navigation
• +6 more

Irene Krahn is a researcher at the Faculty of Biology , Bielefeld University , affiliated with the Genetics of Prokaryotes department. She is part of the university’s interdisciplinary research ecosystem, which spans strategic areas like the Material World (physics, chemistry, biology, bioinformatics) and Socio-Technical World (AI, robotics, human-machine interaction). Bielefeld University emphasizes Transcending Boundaries in its research, fostering collaboration across disciplines such as computer science, biology, psychology, and economics through institutes like the Center for Cognitive Interaction Technology (CITEC) and Centre for Biotechnology (CeBiTec) . Key research projects include CRC TRR 318 Constructing Explainability (DFG), PREDICT (ERC Advanced Grant), and Smart Water Futures (ERC Synergy Grant).

• Molecular Biology
• Microbiology
• Genetics
• +3 more

Dr. Carlos Gonzalez Diaz is a scientific assistant at the Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science at the University of Augsburg. His work focuses on integrating emotional, social, and cognitive aspects into AI systems. Institute of Computer Science, University of Augsburg Human-Centered Artificial Intelligence research group His research interests include: Human-Computer Interaction Affective Computing Social Robotics User Experience Design Key projects associated with his team include: FORSocialRobots THERAPAI CEEds ARIA-Valuspa Kristina ILHAIRE Contact: Email: carlos.gonzalez.diaz@uni-a.de Phone: +49 821 598 2341 Office: Universitätsstraße 6a, Augsburg

• Human-Centered Artificial Intelligence
• Human-Computer Interaction
• Affective Computing
• +3 more

Dr. Michael Dietz is a Researcher at the Chair of Human-Centered Artificial Intelligence ( University of Augsburg , Faculty of Applied Informatics, Institute of Informatics). His work focuses on Human-Computer Interaction , Mobile Assistive Systems , and Signal Processing with Machine Learning applications. Key research trends include: Development of mobile frameworks for real-time affective feedback (SSJ Framework, SenseEmotion) Augmented reality applications for public spaces and ambient media Privacy-preserving machine learning on mobile devices Physiological signal analysis for stress detection in older adults Eye-tracking innovations for visual search detection Explainable AI techniques in facial expression recognition Projects: EmmA (Emotional mobile Avatar) Glassistant (Smart Glasses for MCI patients) SenseEmotion (Multisensorial emotion recognition) SSJ Framework (Social Signal Processing)

• Human Computer Interaction
• Mobile Assistive Systems
• Signal Processing
• +3 more

Izabela Maria Sztuka is a Visiting Researcher and Postdoctoral Researcher at the Center for Environmental Neuroscience, Max Planck Institute for Human Development in Berlin, a position held since March 2024 following her Predoctoral Research Fellowship there from 2019 to 2024. Her academic credentials include: MSc in Computational Neuroscience & Cognitive Robotics from the University of Birmingham (2018-2019) MSc in Psychology of Mental Health from the University of Edinburgh (2017-2018) BA in Psychology from Dublin City University (2016-2017) BA in Archaeology from the University of Warsaw (2005-2011) Dr. Sztuka's research integrates environmental neuroscience, human-environment interactions, and neuroecology of migration through computational modeling and neuroimaging techniques like fNIRS and DOT. Her work examines neural mechanisms underlying human adaptation to environmental contexts and migratory patterns, bridging cognitive robotics with ecological frameworks to analyze bidirectional human-environment relationships. Affiliated with the Center for Environmental Neuroscience, she contributes to interdisciplinary collaborations between neuroscientists, environmental scientists, and roboticists. No scientific awards or grant details are documented in available sources, and information regarding student mentorship remains unspecified.

• Environmental Neuroscience
• Human-Environment Interactions
• Neuroecology of Human Migration
• +3 more

Rachael L'Orsa serves as a Research Scientist in the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems, where she advances robotic systems through human-centered interaction research. Her academic foundation includes: Bachelor of Applied Science in Mechanical Engineering, University of British Columbia (2010) Bachelor of Arts in French and Spanish with Computer Science minor, University of British Columbia (2011) Master of Science in Electrical Engineering, University of Calgary (2016) Doctor of Philosophy in Electrical Engineering, University of Calgary (2024) Dr. L'Orsa's research program centers on time-delayed teleoperation and haptic feedback systems , with critical applications in surgical robotics. Her doctoral work pioneered lightweight algorithms for automated puncture detection in needle-insertion surgery, while her Master's research employed neural networks to compensate for elastic joint flexibility in teleoperated robots. Current investigations integrate biological signal processing and cognitive workload assessment to develop adaptive human-robot interfaces that maintain performance under time constraints. Her work bridges mechanical design, algorithm development, and human factors analysis to create responsive surgical assistance systems. The Haptic Intelligence Department provides the infrastructure for developing next-generation tactile interaction technologies where precise force feedback and real-time operator-robot coordination are essential for medical applications.

• Human-Robot Interaction
• Haptic Feedback
• Time-Delayed Teleoperation
• +4 more

Prof. Floris Ernst serves as Professor of Medical Robotics at the Institute for Robotics and Cognitive Systems, University of Lübeck, where he has been faculty since 2017 after joining as a research associate in 2013. He holds significant leadership roles including membership on the Steering Committee of the Graduate School 'Computing in Medicine and Life Sciences' and editorial positions with IEEE Robotics and Automation Letters and Frontiers in Robotics and AI. His research spans medical robotics , signal processing for biomedical applications , sensors for robotics , and augmented reality in surgery . Key projects include SonoBox (robotic ultrasound for pediatric fracture diagnosis), TWIN-WIN (digital supertwin technology), and robotics applications in rescue medicine. His work consistently bridges theoretical algorithm development with clinical implementation, focusing on real-world medical challenges. Prof. Ernst's recent publications (2023-2025) demonstrate strong activity across medical imaging, rescue robotics, and navigation systems. Trends show increasing focus on deep learning applications in medical imaging, real-time motion tracking for radiosurgery, and autonomous systems for emergency response. His work frequently appears in top robotics and medical imaging venues including IEEE conferences and journals. IEEE Senior Member Associate Editor, IEEE Robotics and Automation Letters (Medical Robotics) Associate Editor, Frontiers in Robotics and AI (Biomedical Robotics) As an active supervisor, Prof. Ernst guides students through courses like Medical Robotics (CS4270) and Bachelor/Master projects, with numerous publications co-authored with students. His lab maintains strong industry and clinical collaborations, particularly in medical device development and clinical robotics applications. The Robotics Laboratory (RobLab) serves as the primary research environment for his team's work on medical and rescue robotics systems.

• Signal processing and analysis for biomedical applications
• Sensors for robotics
• Motion tracking and recognition in medical technology
• +4 more

Prof. Achim Schweikard is a Full Professor at the University of Lübeck's Institute for Robotics and Cognitive Systems, where he has led pioneering research since 2002. His academic journey spans Stanford University's neurosurgery and computer science departments and Technical University of Munich, establishing him as a leading figure in medical technology translation. His research focuses on Medical Robotics and Artificial Intelligence with transformative clinical applications. Key achievements include inventing correlation-based tracking for cancer radiosurgery (now global standard of care) and developing stereotactic arrhythmia radioablation (STAR) protocols. Current projects address critical challenges in cardiac radioablation through the RAVENTA multicenter trial, MATRIX-VT imaging fusion study, and SonoBox robotic ultrasound system for pediatric diagnostics. His publication record shows sustained high impact with 15+ articles in 2023-2025 in top journals including Radiotherapy and Oncology and Heart Rhythm. These works demonstrate progression from foundational robotics to clinical implementation, with recent focus on cardiac motion estimation, target transfer automation, and S-ICD patient treatment solutions. As Academic Director of UNI Luebeck's Grad School (2025), he oversees doctoral training while leading the Robotics Laboratory (RobLab). The lab maintains active grants supporting: RAVENTA trial: German multicenter feasibility study for ventricular tachycardia radioablation DYNAMIC phantom development for end-to-end treatment validation ECG-gated 4D CT motion modeling for precision targeting Landmark-based ultrasound-CT fusion techniques Students gain comprehensive experience across the medical technology pipeline - from hardware prototyping to clinical trial participation - within an internationally collaborative environment spanning the STOPSTORM.eu consortium and multiple EU research networks.

• Medical Robotics
• Artificial Intelligence
• Radiosurgery
• +3 more

Claire Lelarge is a Professor of Economics at Paris-Saclay University and a Research Fellow at the Centre for Economic Policy Research (CEPR). Prior professional roles include: French Statistical Institute French Ministry for Industry Organisation for Economic Co-operation and Development (OECD) CREST (Insee) French Central Bank Her research specializes in firms' dynamics and organizational strategies, with core focus areas: Labour Economics (wage setting, minimum wage effects) Organizational Economics (internal firm structure, communication costs) Industrial Organization (technology adoption, firm responses) International Trade (input sourcing, productivity implications) Analysis of her 2015-2023 publications reveals consistent examination of how technological change, trade policies, and infrastructure investments reshape firm organization. Key themes include minimum wage impacts on productivity, robotics-driven labor market shifts, and communication technology effects on multi-plant firms, all analyzed through microeconomic frameworks and large-scale firm-level datasets to derive policy-relevant insights.

• Firms' Dynamics
• Organizational Strategies
• Labour Economics
• +2 more

Dennis Mund is a Research Fellow at the Institute of Flight Systems, Bundeswehr University Munich, where he has been a faculty member since May 2015 under the Professorship for Flight Mechanics and Flight Guidance (Prof. Schulte). His work focuses on advancing human-automation interaction within aviation systems. His academic background includes: Master of Science in Robotics, Cognition, and Intelligence from the Technical University of Munich Dr. Mund's research centers on operator/pilot assistance systems, adaptive automation frameworks, and seamless human-automation integration. He investigates how intelligent systems can dynamically adjust to pilots' cognitive states and operational contexts to enhance flight safety and efficiency. This work addresses critical challenges in modern aviation automation, particularly in developing responsive flight guidance technologies that maintain pilot situational awareness during high-workload scenarios. Based in Building 150, Room 150/0000, he contributes to the Institute of Flight Systems' mission of innovating aerospace engineering solutions through rigorous interdisciplinary research in flight mechanics and control systems.

• Operator/Pilot Assistance
• Adaptive Automation and Autonomy
• Human-Automation Integration
• +1 more

Björn Döschl is a Researcher and doctoral student at the Institute of Flight Systems, Bundeswehr University Munich, working under the Professorship for Flight Mechanics and Flight Guidance (Prof. Schulte) since December 2023. His role involves developing intelligent systems for unmanned aircraft within both simulated and real-world environments. His educational background includes: Bachelor of Science in Engineering Informatics, University of Augsburg (2020) Master of Science in Robotics, Cognition, and Intelligence, Technical University of Munich (2023) Dr. Döschl's research centers on applying artificial intelligence to UAV operations, with emphasis on creating holistic planning and execution frameworks for autonomous systems. His work specifically investigates swarm intelligence architectures—implementing both centralized and decentralized decision-making models—and integrates cybersecurity principles derived from his Japan-based research. Key challenges addressed include situation awareness in multi-agent coordination and real-time environmental adaptation for UAV fleets. He actively contributes to projects such as MENTHON and EMUE while developing the open-source AUSPEX framework for AI planning validation. Prospective students seeking working student positions, internships, or thesis collaborations in UAV intelligence are encouraged to contact him directly.

• Autonomous Systems
• Unmanned Aerial Vehicles (UAVs)
• Swarm Intelligence
• +3 more