جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Computer Vision
• Teleoperation
• +۳ مورد دیگر

Diego Fernandez Prado is a Researcher at the Chair of Media Technology, Technical University of Munich (TUM). He earned a B.Sc. in Physics from the University of Santiago de Compostela (2018) and an M.Sc. in Applied and Engineering Physics from TUM (2021). Since March 2021, he has pursued doctoral research in Robotics and Machine Intelligence. His research intersects Machine Learning , Computer Vision , and Teleoperation , with a focus on Reinforcement Learning for virtual fixture estimation Digital Twin environments Haptic data applications in bandwidth-limited systems Time-domain passivity control . Recent publications highlight his work in Robotics and Artificial Intelligence , particularly in teleoperation , virtual fixtures , and human-robot interaction . His articles analyze reinforcement learning integration, haptic codec optimization, and semantic segmentation for robotic tasks.

• Haptic Communication
• Teleoperation Systems
• Digital Twin Technology
• +۳ مورد دیگر

Siwen Liu is a Scientific Staff member and Ph.D. candidate at the Chair of Media Technology (Lehrstuhl für Medientechnik) within the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM). She joined TUM in December 2021 after completing her Master's degree in China. Her research focuses on Digital Twin based MMT control schemes, multi-dimensional parameters-based performance optimization of human-in-the-loop haptic teleoperation systems, and resource scheduling in teleoperation networks. Her work intersects robotics, haptics, and computer vision with applications in teleoperation systems. Dr. Liu's recent publications demonstrate her expertise in developing advanced teleoperation frameworks that leverage Digital Twin technology to overcome time-delay challenges. Her research shows a clear progression from foundational teleoperation concepts to sophisticated hybrid control strategies that incorporate human perception metrics. She actively supervises student theses, including research on DT-based Human-robot Teleoperation with Haptic Codecs Standard, indicating her role in mentoring the next generation of robotics researchers. Her work aligns with major research initiatives at TUM including the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and DFG: Teleoperation over 5G projects.

• Signal Processing
• Communications Engineering
• Radar Signal Processing
• +۷ مورد دیگر

Stefan Hägele is a researcher at the Chair of Media Technology, Technical University of Munich, affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI). He completed his B.Sc. and M.Sc. in Electrical and Computer Engineering at TUM, graduating with distinction in 2022. B.Sc. in Electrical and Computer Engineering, TUM (2019) M.Sc. in Electrical and Computer Engineering, TUM (2022) His research focuses on signal processing applications in communications, radar, and image processing, combined with applied machine learning. Key areas include mmWave radar analysis, WiFi-based indoor positioning, privacy-preserving rehabilitation systems, and complex-valued neural networks. Recent publications highlight his work in radar-based object classification (using MIMO architectures), material recognition (SMCNet), visible light positioning (VLP-KAN), and skeleton estimation for rehabilitation (PoinTS). His contributions also appear in projects like 6G-Life, DFG Teleoperation over 5G, and CeTI (Tactile Internet).

• Computer Vision
• Machine Learning
• Teleoperation
• +۳ مورد دیگر

Dong Yang is a Researcher and PhD candidate at the Chair of Media Technology, Technical University of Munich (TUM) , since October 2021. His work bridges Computer Vision, Machine Learning, and Robotics to advance haptic teleoperation systems. B.Eng in Electrical Engineering and Automation (Fuzhou University, China) B.Sc in Electrical Engineering and Information (Technical University of Kaiserslautern, Germany) M.Sc in Electrical Engineering and Information (TUM, Germany) Research focuses on haptic communication , teleoperation , and scene understanding for robots. Key contributions include: Developing SRI-Graph for scene-robot interaction Creating ISSC for semantic shared control Advancing depth estimation in adverse weather Designing HPF-SLAM for visual navigation His publications span top conferences like ICRA , IROS , and RO-MAN , addressing topics in haptic teleoperation , sensor fusion , and collaborative robotics . Supervises thesis projects including Diffusion Model-based Imitation Learning and Scene Graph-based Real-time Scene Understanding Collaborates on projects like Centre for Tactile Internet with Human-in-the-Loop (CeTI) and Teleoperation over 5G

Marsil Zakourمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Human-Object Interaction
• +۲ مورد دیگر

Marsil Zakour is a Ph.D. Candidate and Researcher at the Chair of Media Technology (Technical University of Munich). He holds a Master of Science in Computer Science from TUM (2021) and a Bachelor of Science in Software Engineering from Al-Baath University (2016). His work focuses on 3D reconstruction, understanding, and synthesis of hand-object interactions. Research Interests 3D Hand-Object Interaction Modeling Human Activity Understanding Computer Vision Machine Learning Key Projects Centre for Tactile Internet with Human-in-the-Loop (CeTI) 5G Testbed Bayern (eHealth focus) KMU-Innovativ: KIMaps IEEE P1918.1.1 Haptic Codecs Publications His research spans action segmentation, embodied AI, and 3D object feature modeling, with recent works on procedural mistake detection (ICCV 2025), vision-language models (CVPR 2025), and domain adaptation (IROS 2024). Supervision Zakour mentors students in projects like Hand Pose Estimation Using Multi-View RGB-D Sequences , requiring expertise in computer vision and deep learning frameworks.

• Signal Processing
• Machine Learning
• Haptic Communication
• +۳ مورد دیگر

Lars Nockenberg is a PhD candidate and Scientific Staff member at the Chair of Media Technology of the Technical University of Munich . He works on vibrotactile codecs and machine learning applications in haptic communication. B.Sc. Electrical Engineering (2019) M.Sc. Electrical Engineering (2022) His research focuses on signal processing and machine learning for haptic communication , including vibrotactile compression and multimodal tactile signal modeling. His publications (2023–2025) address topics like perceptual clustering, autoencoder-based compression, and standards for tactile internet applications. Lars contributes to projects such as the Centre for Tactile Internet with Human-in-the-Loop (CeTI) , 5G Testbed Bayern , and KMU-Innovativ: KIMaps . His work is published in venues including IEEE Transactions on Haptics , ICASSP , and World Haptics Conference .

• Haptic Communication
• Video Communication
• Indoor Mapping, Localization and Navigation
• +۳ مورد دیگر

Dr.-Ing. M.Sc. Markus Hofbauer is a Lecturer at the Department of Media Technology, Technical University of Munich. He is affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI) and works within the Chair of Media Technology under Prof. Eckehard Steinbach. Research Focus: Haptic Communication, Video Communication, and Human Activity Understanding Key Projects: Centre for Tactile Internet (CeTI), 5G Testbed Bayern, IEEE P1918.1.1 Haptic Codecs His recent publications (2020) focus on tactile internet frameworks, real-time telepresence systems, and vibrotactile actuator optimization. Research integrates machine learning with haptic feedback design for immersive technologies.

Evelyn Muschterمشاهده پروفایل

پژوهشگر

• Neuroscience
• Human Perception
• Multisensory Integration
• +۵ مورد دیگر

Dr. Evelyn Muschter is a postdoctoral researcher at the Chair of Lifespan Developmental Neuroscience at Technische Universität Dresden, part of the Centre for Tactile Internet with Human-in-the-loop (CeTI) . Her work focuses on integrating human perception science with technological advancements in the Tactile Internet, particularly addressing tactile and multisensory systems, attention mechanisms, and lifespan developmental aspects of perception. She employs experimental techniques like psychophysics and neurophysiological measurements to bridge neuroscience and technology. Dr. Muschter holds a PhD in Brain and Cognitive Science from the University of Trento, Italy, and a Master’s in Cognitive Science from the same institution, alongside a Bachelor’s in Psychology from Cleveland State University, USA. Her current research emphasizes human-in-the-loop technology development, including haptic codecs, human-guided machine learning, and evaluation of TaHiL devices. Key projects involve creating large-scale kinematic datasets (e.g., CeTI-Age) to study aging-related changes in human motion and perception. She collaborates across disciplines to address challenges in tactile signal compression, wearable device design, and inclusive technology standards (e.g., IEEE 1918.1.1-2024). Her work underscores the importance of human-centered design for diverse populations. Dr. Muschter values CeTI’s interdisciplinary environment, which enables methodological innovation and cross-field collaboration. Future research priorities include exploring how societal adoption of the Tactile Internet evolves over time and across generations.

Eckehard Steinbachمشاهده پروفایل

استاد

• Haptic Communication
• Tactile Internet
• Multimedia Systems
• +۴ مورد دیگر

Prof. Dr.-Ing. Eckehard Steinbach is a Full Professor of Media Technology at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. His research focuses on haptic communication, the Tactile Internet, multimedia systems, and machine learning-driven analysis of sensory data. He holds an IEEE Fellowship (2015) for contributions to visual and haptic communications and has led projects like the Centre for Tactile Internet with Human-in-the-Loop (CeTI). Education: Studied Electrical Engineering at the University of Karlsruhe, University of Essex, and ESIEE Paris. Earned a Ph.D. from Friedrich-Alexander University of Erlangen-Nuremberg (1999). Postdoc at Stanford University (2000–2002). Research Interests: Haptic data compression, teleoperation, networked multimedia systems, and applications of machine learning in sensory data analysis. Key projects include the IEEE 1918.1.1-2024 standard for haptic codecs and 5G-based teleoperation systems. Awards: ERC Starting Grant (2011–2015), Alcatel-Lucent Research Award (2011), VDE-ITG Publication Award (2009). Grants and Projects: Led initiatives in tactile internet, 5G testbeds for eHealth, and radar-based human activity monitoring. Collaborates on robotics and remote collaboration systems via platforms like the Munich 5G Research Hub. Labs/Teams: Chair of Media Technology at TUM, contributing to TUM-IAS and the Munich Institute of Robotics and Machine Intelligence (MIRMI).

• Haptic Communications
• Teleoperation
• Robotics
• +۳ مورد دیگر

Basak Gülecyüz is a Ph.D. researcher at the Chair of Media Technology (Lehrstuhl für Medientechnik) at the Technical University of Munich (TUM), affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI). She holds a B.Sc. in Electrical and Electronics Engineering from Middle East Technical University (2016) and an M.Sc. in Communications Engineering from TUM (2019). Research Interests: Haptic communication systems Learning-oriented haptic codecs Teleoperated robot teaching Skill transfer via network-aware teleoperation Vibrotactile signal processing Publications Analysis: Her work focuses on optimizing haptic data transmission for teleoperation under network constraints, developing adaptive sampling strategies, deadband techniques, and perceptual compression algorithms. Key projects include applications in the Tactile Internet and 5G teleoperation systems. Teaching Roles: She served as a MATLAB tutor for Digital Signal Processing in 2022 and supervises student theses on topics like: Network-aware shared control Learning-based human-robot autonomy

• Machine Learning
• Computer Vision
• Haptic Communication
• +۳ مورد دیگر

Furkan Kaynar is a researcher at the Chair of Media Technology, Technical University of Munich, affiliated with the Munich School of Robotics and Machine Intelligence (MSRM) and the Munich Institute of Robotics and Machine Intelligence (MIRMI). He holds a B.Sc. in Electrical and Electronics Engineering (2016) from Bogazici University and an M.Sc. in Electrical Engineering and Information Technology (2019) from TUM. His research focuses on Machine learning for task-oriented robotic grasping Computer vision and interactive segmentation Haptic communication systems Human-robot interfaces for teleassistance Recent work includes few-shot learning methods for grasp area segmentation via remote demonstrations. Project involvement includes Centre for Tactile Internet with Human-in-the-Loop (CeTI) , Teleoperation over 5G , and IEEE P1918.1.1 Haptic Codecs . Collaborative efforts appear in publications at international conferences. Teaching activities include: Organizing the Seminar on Topics in Signal Processing (WS19/20) Conducting tutorials for Image and Video Compression (SS20)

• Haptic Communication
• Haptic Codecs
• Data Compression
• +۴ مورد دیگر

Daniel Rodriguez Guevara is a researcher at the Chair of Media Technology (TUM) within the Munich Institute of Robotics and Machine Intelligence (MIRMI). His work focuses on haptic communication, haptic codecs, and control systems. Education: Mechatronics Engineering (B.Sc., 2018), Predictive Control (M.Sc.) at Tecnologico de Monterrey His research explores haptic communication and data compression for tactile internet applications, with a specialization in predictive control for industrial systems. Recent work involves haptic codecs and vibrotactile actuator calibration . The three publications from 2020 demonstrate expertise spanning haptic feedback systems , deep learning for telepresence , and adaptive filtering in tactile displays. This reflects interdisciplinary work at the intersection of robotics , machine learning , and human-computer interaction . Labs: Works in the Chair of Media Technology under Prof. Eckehard Steinbach

• Tactile Communication
• Multimodal Signal Processing
• Tactile Codecs
• +۳ مورد دیگر

Wenxuan Wei is a Researcher at the Chair of Media Technology (LMT) at the Technical University of Munich (TUM), joining in November 2023. She holds a B.Sc. and M.Sc. in Mechanical Engineering from Beihang University (2020, 2023). Her work focuses on tactile communication, particularly developing multimodal tactile codecs for the Tactile Internet. Research areas: Tactile codecs, multimodal data compression, shared-private representation learning. Projects: Contributions to initiatives like the Centre for Tactile Internet (CeTI) and IEEE P1918.1.1 Haptic Codecs.