جستجوی استاد راهنمای دانشگاهی

Michael Rietzlerمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Virtual Reality
• Interaction Design
• +۴ مورد دیگر

Dr. Michael Rietzler is a Researcher at Ulm University's Department of Informatics, specializing in Human-Computer Interaction (HCI), Virtual Reality (VR), and tracking systems. He earned his PhD in 2019 with a thesis on cross-reality interaction and has been actively involved in research since 2015. His work focuses on VR navigation, haptic feedback, and open-source tracking tools like FusionKit. Education - Bachelor's and Master's in Media Informatics (Ulm University, completed 2015) - PhD in Informatics (Ulm University, 2019) Research Interests His research spans VR/AR interaction, motion tracking, user experience evaluation, and ubiquitous computing. Notable projects include Telewalk (endless VR walking) and INTERACT (factory automation tools). Publications Recent work addresses VR presence perception, energy-saving appliance adoption, and voice assistant design. His studies often bridge hardware innovation with user-centric design. Teaching Lectured on HCI and media informatics topics, including courses like 'Research Trends in Media Informatics.' Labs/Teams Part of the Human-Computer Interaction research group at Ulm, contributing to projects like FusionKit and VRSpinning rotation platform.

• Networking
• Edge Computing
• 5G/6G Technologies
• +۵ مورد دیگر

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

• Human-Robot Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Doris Aschenbrenner is a researcher specializing in human-robot interaction and augmented reality applications for industrial maintenance systems at Julius Maximilians University Würzburg. Her work bridges computer science, engineering, and human factors disciplines to develop practical solutions for Industry 4.0 environments. Her research focuses on Human-Robot Interaction , Augmented and Virtual Reality for industrial applications , Human-in-Command systems , and Industry 4.0 technologies . She has conducted extensive work on AR-assisted maintenance operations, digital twins for production environments, and human factors considerations in collaborative robotics systems. Her research demonstrates how immersive technologies can enhance manufacturing processes while maintaining appropriate human oversight and control. Her publication record shows significant contributions to conferences like ISMAR, VR, and Frontiers in Robotics and AI, with a consistent output from 2013 through 2024. Her recent work has focused on regulatory aspects of AI implementation in manufacturing, particularly regarding the EU AI Act, and developing platforms for digital remote maintenance services. Her research has practical implications for manufacturing industries seeking to implement advanced human-machine collaboration systems while addressing regulatory requirements and human factors considerations.

Carsten Behnمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Control Systems
• +۳ مورد دیگر

Carsten Behn is a Professor at Hochschule Schmalkalden, specializing in Engineering Mathematics within the Faculty of Mechanical Engineering. He holds a habilitation from TU Ilmenau in biologically inspired motion systems and has served as a lecturer at Hochschule Merseburg and TU Ilmenau. Education: Diplom-Mathematiker (2001), Dr.-Ing. (2005), Dr.-Ing. habil. (2013) His research focuses on tactile sensors for surface texture and object contour detection, adaptive control in compliant robotics, and mathematical modeling of biomimetic systems. Publications emphasize sensor dynamics, mechatronic design, and applications of vibrissae-inspired engineering. Recent articles explore tactile sensor signal tuning, flow detection using artificial vibrissae, and adaptive control in snake-like locomotion systems. His work bridges mechanical modeling, control theory, and bioinspired robotics. Behn has served on technical program committees for conferences like ICINCO 2018 and IEEE IRC 2019. He supervises PhD students Moritz Scharff and Lukas Merker in Mechanical Engineering at TU Ilmenau.

• Robotics
• Human-Robot Interaction
• Autonomous Systems
• +۳ مورد دیگر

Dirk Wollherr is a Senior Researcher and Lecturer (Privatdozent) at the Institute of Automatic Control Engineering, Faculty of Electrical Engineering and Information Technology, Technical University of Munich (TUM). He received his Dipl.-Ing. (2000), Dr.-Ing. (2005), and Habilitation (2013) from TUM. His career includes research at TU Berlin and a JSPS Fellowship at the University of Tokyo. He led the Cluster of Excellence 'Cognition for Technical Systems' (2006-2008) and is a TUM Carl-von-Linde Junior Fellow (2010-2013). Research Interests: Autonomous mobile robots, human-robot interaction, SLAM, real-time trajectory planning, stochastic model predictive control, and robotic manipulation under uncertainty. His work bridges control theory and practical applications in urban robotics, agriculture automation, and autonomous vehicles. Publication Trends: Recent articles (2021-2025) focus on robust control under uncertainty, human-robot collaboration, agricultural automation, and probabilistic motion planning. Key themes include constraint violation minimization, data-driven control, and ethical human-robot interaction. Awards & Recognition: Japanese Society for the Promotion of Science (JSPS) Research Fellowship (2004) TUM Carl-von-Linde Junior Fellowship (2010-2013) Projects & Leadership: Principal investigator in EU projects (Robot@CWE, IURO), General Chair of Robotik 2008, and Co-Chair of ARSO 2013. Leads research on the Autonomous City Explorer and human-robot interaction frameworks.

• Robotics
• Virtual Reality
• Haptics
• +۱۰ مورد دیگر

Shin'ichi Warisawa is a prominent researcher at the University of Tokyo's School of Engineering, Department of Computer Science, specializing in robotics, virtual reality (VR), and multisensory feedback systems. His work bridges human perception and technological innovation, with recent projects focusing on haptic and thermal feedback in VR, stress monitoring, and robotic systems for surgical and agricultural applications. Over his career, he has collaborated extensively with colleagues like Yuki Ban, Rui Fukui, and Juro Hosoi. His research interests span robotics, virtual reality, haptics, human-computer interaction, and biomedical engineering. Key contributions include developing novel VR haptic devices (FurAir, VWind), stress detection systems using physiological signals, and modular rail structures for hazardous environments (Rail DRAGON). He has also explored pseudo-haptic weight perception, vocal agency in VR, and olfactory simulation techniques. Recent publications highlight advancements in cross-modal sensory integration, with 16 articles in 2024 and 16 in 2025. These works emphasize VR applications for emotional and physiological user experiences, including wind sensation replication, paranormal visual phenomena, and vocal stress reduction systems. His 2023-2025 studies on WearSway and volumetric fur stroking showcase cutting-edge wearable haptics and visuo-haptic modeling. Warisawa's collaborative projects span surgical robotics (remote ultrasound systems), agricultural automation (tomato volume estimation robots), and neurosurgical tools. While no explicit awards are listed, his prolific output in top venues like IEEE Robotics and Automation Letters, Frontiers in Virtual Reality, and SIGGRAPH Asia Emerging Technologies underscores sustained impact. His work with institutions across Japan and internationally demonstrates multidisciplinary engagement in teleoperation, sensory engineering, and affective computing.

• Haptics
• Tactile Technology
• Robotics
• +۳ مورد دیگر

Vincent Hayward is a researcher specializing in haptics , tactile technology , and human-computer interaction . His work bridges robotics , biomechanics , and sensory feedback systems , focusing on advanced tactile interfaces, texture synthesis, and multimodal communication devices. Collaborations span institutions studying deafblind communication and microscale interactions .

• Smart Materials
• Dielectric Elastomer Actuators
• Shape Memory Alloys
• +۷ مورد دیگر

Gianluca Rizzello is a Junior Professor (equivalent to Assistant Professor) at Saarland University, where he leads the Adaptive Polymer Systems (APS) research group. He is affiliated with the Department of Mechatronics and Smart Systems within the College of Engineering and Informatics. His research focuses on smart materials, particularly dielectric elastomer actuators and shape memory alloys, with applications in soft robotics, energy harvesting, and intelligent mechatronic systems. His research interests include the mathematical modeling, simulation, and control of complex smart material systems. He specializes in self-sensing algorithms, hysteresis modeling, and energy-efficient actuation strategies. His work bridges the gap between theoretical models and practical implementation, enabling next-generation intelligent devices. Key research themes include soft robotics , multifunctional actuators , sensorless control , and energy-based modeling . The trend in his recent publications shows a strong emphasis on self-sensing and model-based control of dielectric elastomer systems, with increasing integration into soft robotic platforms. His work spans from fundamental material modeling to system-level design and experimental validation. He frequently publishes in top-tier journals such as IEEE Transactions on Robotics , Smart Materials and Structures , and Mechatronics . He actively supervises students and collaborates with researchers including Prof. Stefan Seelecke and Dr. Paolo Motzki. His team has developed novel actuator concepts, control strategies, and applications in audio-tactile interfaces and biomedical devices. He has contributed to book chapters on smart materials and holds a patent for an audio-tactile transducer device based on dielectric elastomers. His editorial contributions include works on shape memory alloys and smart materials for mini-actuators.

• Human-Computer Interaction
• Wearable Computing
• Tactile Interfaces
• +۴ مورد دیگر

Denys J.C. Matthies is an Associate Professor at Technical University of Applied Sciences Lübeck and affiliated with Fraunhofer IMTE Lübeck . He specializes in Human-Computer Interaction , particularly focusing on Wearable Computing , Tactile Feedback Systems , and Activity Recognition through smart footwear and body-worn sensors. Key Collaborations: Augmented Human Lab (NUS), Fraunhofer IGD, City University of Hong Kong Research Themes: Smart wearables, haptic interfaces, physiological sensing, assistive technologies His recent work explores: PhantomFolds (2025) - Spatial tactile feedback via fingernail-mounted LRAs PAVES (2025) - Pneumatic terrain simulation in VR Cyber-Placebo (2024) - Ethical implications of fake-AI in CPHS He has contributed to smart footwear systems like ShoeTect2.0 (2024) and SurfSole (2024), integrating capacitive sensing with neural networks for real-time activity and surface recognition. His work spans medical applications (e.g., 2025 study on hepatic encephalopathy screening) and novel interaction paradigms (e.g., Kavy conversational AI 2024).

Narjes Pourjafarianمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Ubiquitous Computing
• Embedded Sensing Systems
• +۴ مورد دیگر

Narjes Pourjafarian is a postdoctoral researcher at Cornell University's Hybrid Body Lab, collaborating with Dr. Cindy Kao. She holds a Ph.D. in Human-Computer Interaction from Saarland University (2023) and two M.Sc. degrees: one in Electrical Engineering from Shiraz University (Iran) and another in Computer Science from Saarland University. Her research focuses on embedded sensing systems, wearable technologies, and customizable interactive interfaces. She has pioneered novel fabrication techniques for on-skin and everyday surfaces, such as BodyStylus and Multi-Touch Skin. Education: Ph.D., Human-Computer Interaction, Saarland University, 2023 M.Sc., Computer Science, Saarland University, 201? M.Sc., Control System Engineering, Shiraz University, 201? B.Sc., Electrical Engineering, Shiraz University of Technology, 201? Research interests span digital fabrication, ubiquitous computing, and AI-driven interaction design. Her work bridges physical and digital realms through tools like Print-A-Sketch (handheld circuit printers) and RoboSketch (robotic sketching systems). She also contributed to optimization algorithms and drought prediction models early in her career. Labs/Teams: Hybrid Body Lab (Cornell), Human-Computer Interaction Lab (Saarland). Her projects emphasize democratizing fabrication and enhancing human-computer interaction through tactile and wearable systems.

Martin Weigelمشاهده پروفایل

استاد

• Human-Computer Interaction
• Virtual Reality
• Wearable Computing
• +۳ مورد دیگر

Prof. Dr. Martin Weigel leads the Interactive Novel Technologies Lab at Technische Hochschule Mittelhessen in Gießen, focusing on Human-Computer Interaction (HCI) with specializations in Virtual Reality (VR), wearable computing, and haptic interfaces. His work explores novel interaction techniques, motion guidance systems, and on-body interfaces. Research interests span VR/AR applications, wearable devices, and tactile feedback systems. Key contributions include VRSketchPen (haptic sketching), Tactile Vectors (arm guidance), and DeformWear (wearable deformation input). Recent projects address telepresence robotics in caregiving and drone-human body interaction. Publications highlight advancements in haptic feedback design, user studies on motion guidance, and multimodal interaction systems. Awards include a Best Paper Award for iSkin (2015), a flexible on-body sensor system. Current lab members include researchers like Kevin Linne and student assistants. Patents include EP4147830B1 (2025) for tele-robotic systems and EP4120223B1 (2024) for drone landing mechanisms. Advised PhD student Dr. Hesham Elsayed (2023) and oversees a team engaged in cutting-edge HCI research.

• Physics Education
• Didactics of Physics
• Science Teaching and Learning
• +۷ مورد دیگر

Bianca Watzka is a Professor of Physics and Technology Education at RWTH Aachen University, affiliated with the Department of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences. She conducts research and teaching in the didactics of physics, focusing on innovative pedagogical methods and technology integration. Her research interests include: Physics Education and Didactics Context-Based and Phenomenon-Based Learning Cognitive Load Theory in Instruction Educational Technology and Multimedia Learning Teacher Education and Diagnostic Competence Use of Sensors and Digital Tools (Arduino, H5P) in Science Classrooms Eye-Tracking in Learning Environments Her recent publications (2023–2025) reflect a strong focus on enhancing physics instruction through multimedia cues, cognitive load optimization, interactive tasks, context-rich problems, and teacher training. She investigates how auditory and visual supports, VR annotations, force diagrams, and real-world contexts like wind and thermodynamics improve learning outcomes. Her work increasingly integrates technology for formative assessment and reflective teaching. Scientific contributions include: Development of context-oriented physics modules Application of eye-tracking in educational diagnostics Promotion of inquiry-based methods like the Mystery method Integration of Cornell Notes and H5P in teacher education Use of authentic contexts such as CO2 sensors, LEDs, and bionics in teaching She advises pre-service physics teachers and contributes to improving teaching quality through student feedback and structured learning tools. Her work bridges theoretical research with practical classroom applications, particularly in secondary and higher education settings. While no formal lab or team is mentioned, her research implies collaboration in educational technology and teacher training projects.

Alexander Achbergerمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Virtual Reality
• Haptics
• +۳ مورد دیگر

Dr. Alexander Achberger is a Research Associate at the Visualization Institute of the University of Stuttgart (VISUS) , affiliated with the Sedlmair Working Group . His research focuses on Human-Computer Interaction , Virtual Reality , and Haptics , particularly in Automotive Engineering contexts. He has published extensively on haptic feedback devices and immersive visualization tools since 2018. Current position: Research Associate at VISUS Affiliation: Sedlmair Working Group Location: Allmandring 19, Stuttgart, Germany (Room: 01.031) His work explores force feedback systems like PropellerHand , STROE , and STRIVE for automotive VR applications. He also investigates sitting posture recognition and motion guidance memorability in extended reality environments. Recent publications examine multi-type haptic feedback and upper limb representations in VR.

Timo Klein-Soetebierمشاهده پروفایل

پژوهشگر

• Table Tennis
• Motor Control
• Sports Cognition
• +۵ مورد دیگر

Timo Klein-Soetebier is a researcher at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne, specializing in Cognition in Team Sports. With 66 publications and 11 research projects to his name, he focuses primarily on table tennis, motor control, and perception training in sports contexts. His research interests span across several key areas including table tennis technique analysis, motor learning, sports cognition, and perception training. Klein-Soetebier has made significant contributions to understanding gender differences in table tennis techniques, perception training methods, and the application of table tennis in therapeutic contexts such as Parkinson's disease rehabilitation. The 15 most recent publications reveal a consistent focus on practical applications of sports science, particularly in table tennis pedagogy, sports informatics, and motor learning principles. His work bridges theoretical sports science with practical applications in training, education, and health contexts, demonstrating a strong commitment to translating research into real-world impact. Klein-Soetebier actively collaborates with colleagues across multiple departments at the German Sport University Cologne, particularly with researchers in sports informatics, cognition, and sports games research. His work has generated significant media attention, particularly regarding the therapeutic applications of table tennis for Parkinson's disease patients. His current research projects include investigations into learning curves in table tennis skill acquisition, XR-based training methods in golf, and perception training in table tennis, demonstrating both depth in his primary area of expertise and breadth across different sports contexts. He maintains an active presence in both academic and public spheres, with 8 media appearances discussing the benefits of table tennis for health and performance, particularly highlighting its applications for neurological rehabilitation.

• Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Prof. Dr. Berthold Bäuml serves as a full Professor at the Technical University of Munich (TUM) within the TUM School of Computation, Information and Technology, holding the Chair for Learning AI for Dextrous Robots. His research bridges artificial intelligence and robotics to develop advanced manipulation capabilities in humanoid systems, with particular emphasis on tactile sensing and learning-based control architectures. His core research interests span Robotics, Artificial Intelligence, Machine Learning, Dextrous Manipulation, Tactile Sensing, and Reinforcement Learning. Bäuml investigates how robots can autonomously learn complex manipulation skills through tactile feedback, focusing on in-hand manipulation, grasping of unknown objects, and sim-to-real transfer for multi-fingered hands. His work integrates state estimation with reinforcement learning to achieve robust performance in unstructured environments. Analysis of his 2022-2025 publications reveals a concentrated research trajectory in tactile dexterous manipulation, characterized by modular reinforcement learning architectures, shape-conditioned agents, and torque prediction systems. Key trends include the development of time-optimal controllers, self-contained calibration methods, and collision-aware motion planning, all leveraging deep learning for real-time performance in humanoid platforms like Agile Justin.