جستجوی استاد راهنمای دانشگاهی

Amadeus Gebauerمشاهده پروفایل

پژوهشگر

• Cardiac mechanics
• Cardiac growth and remodeling
• Computational mechanics
• +۳ مورد دیگر

Amadeus Gebauer is a Researcher at the Chair of Computational Mechanics within the Institute for Computational Mechanics at the Technical University of Munich (TUM), serving as a Research Associate since 2019. His work specializes in computational biomechanics with emphasis on cardiac mechanics modeling, growth and remodeling processes, and multi-physics simulation frameworks. Education: Master of Science (M.Sc.) in Mechanical Engineering, Technical University of Munich, 2019 Research Interests: Gebauer's research centers on cardiac mechanics modeling, including growth and remodeling of cardiac tissue, cardiac active tissue mechanics, and medical image processing. He develops advanced computational methods for parallel and high performance computing, particularly through the 4C multi-physics simulation framework. His work integrates constrained mixture models to simulate organ-scale biological processes, bridging computational mechanics with clinical cardiology applications and focusing on mechanobiological stability in cardiac systems. Publication Trends: Gebauer's publications (2018-2025) demonstrate consistent innovation in computational cardiology, primarily using constrained mixture models to address cardiac growth and remodeling. His recent work introduces adaptive integration techniques for history variables and homogenized modeling approaches, while expanding into software benchmarking for cardiac elastodynamics and gastric motility simulations. These contributions highlight his expertise in developing robust numerical methods for multi-physics biomedical problems, with increasing focus on patient-specific applications and high-performance computing solutions. Teaching and Advising: Gebauer teaches core computational mechanics courses including Finite Elemente and Numerische Festkörpermechanik across multiple semesters. He has supervised diverse student projects ranging from term papers to Master's theses, with notable collaborations including Maximilian Grill's shoulder biomechanics research (2020) and Janina Datz's artery geometry framework development (2021). His advising consistently focuses on cardiac mechanics, computational modeling, and medical device simulation. Research Environment: As part of Professor Wolfgang A. Wall's Institute for Computational Mechanics (LNM) at TUM, Gebauer contributes to a leading research group in computational solid/fluid mechanics. The LNM develops the 4C simulation framework for complex engineering and biomedical challenges, with current emphasis on cardiac growth modeling, multi-physics integration, and high-performance computing applications in personalized medicine.

Christoph Keplingerمشاهده پروفایل

استاد

• Soft Robotics
• Functional Polymers
• Energy Capture
• +۴ مورد دیگر

Christoph Keplinger serves as Managing Director of the Max Planck Institute for Intelligent Systems (MPI-IS) in Stuttgart, Germany, leading the Robotic Materials Department since 2020 and assuming overall institute leadership in 2023. He holds dual academic appointments as Honorary Professor at the University of Stuttgart and Eminent Visiting Professor of Soft Robotics at the University of Colorado Boulder, establishing him as a pivotal figure in bridging fundamental materials science with advanced robotics. His interdisciplinary approach integrates physics, chemistry, and engineering to pioneer breakthroughs in soft robotic systems. Keplinger's academic foundation includes a PhD in Soft Matter Physics from Johannes Kepler University Linz, Austria, followed by postdoctoral research at Harvard University focusing on mechanics and chemistry of soft materials. This unique background enabled his transition into robotics innovation, particularly in electrohydraulic actuation systems. His research program centers on three synergistic pillars: (I) soft robotics development through novel actuator technologies like HASEL artificial muscles; (II) energy capture mechanisms using soft materials; and (III) functional polymers engineered for robotic applications. This work produces transformative hardware that mimics biological functionality, with significant implications for human-robot interaction, medical devices, and sustainable robotics systems. His group employs cutting-edge materials synthesis and characterization techniques to create lifelike robotic components. Analysis of recent publications reveals dominant trends in wearable haptic interfaces, electrohydraulic actuation systems, and tremor-suppression technologies. The research consistently leverages HASEL (Hydraulically Amplified Self-healing Electrostatic) technology to achieve muscle-like performance in soft actuators, with applications spanning from fingertip haptic feedback to underwater manipulation systems. This trajectory demonstrates a clear progression from fundamental material properties toward practical implementations in medical rehabilitation and human augmentation. His exceptional contributions have earned prestigious recognition: 2017 Packard Fellowship for Science and Engineering, awarded for high-impact interdisciplinary research 2021 Alexander von Humboldt Professorship (declined to remain at MPI-IS), Germany's most valuable international research award 2013 EAPromising European Researcher Award from the European Scientific Network for Artificial Muscles As principal investigator, Keplinger leads a dynamic interdisciplinary research group while securing competitive funding for frontier projects. His entrepreneurial vision materialized in 2018 through co-founding Artimus Robotics, where he serves as Chief Science Officer to commercialize HASEL technology. This dual commitment to academic research and industry translation exemplifies his dedication to real-world impact, particularly in creating biodegradable and sustainable soft robotic solutions. The Robotic Materials Department operates state-of-the-art facilities for materials fabrication, robotic integration, and haptic interface development. The team maintains strong collaborations across MPI-IS departments and external institutions including the University of Colorado Boulder, fostering innovation in sustainable robotics through initiatives like biodegradable electrohydraulic actuators. Current projects focus on wearable tremor suppression systems, electrohydraulic locomotion platforms, and energy-autonomous soft robots that address critical challenges in medical rehabilitation and human augmentation.

Felix Bottمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Meshfree Methods
• Peridynamics
• +۳ مورد دیگر

Felix Bott is a Researcher at Technische Universität München (TUM), currently affiliated with PainLabMunich at Rechts der Isar Hospital since September 2020. Previously, he served as a Research Associate and Teaching Assistant in the Mechanics & High Performance Computing Group at TUM from April 2018 to March 2020. His academic credentials include a Master of Science in Mechanical Engineering (TUM, 2018) and a Master de Sciences, Technologies, Santé specializing in multi-scale mechanics modeling (2019). Research Focus Bott's research specializes in computational mechanics, emphasizing mesh-free discretization techniques like Moving Kriging Collocation and Peridynamics. He develops probabilistic numerical methods for uncertainty quantification and inverse analyses, with applications in solid mechanics and engineering simulations. His work bridges theoretical computational frameworks with practical engineering challenges. Teaching & Advising As a teaching assistant, he led courses in Engineering Mechanics I (WS 2018/19) and Engineering Mechanics II (SS 2018, SS 2019). He supervised multiple student projects including Master's theses on peridynamics-based continuum modeling, Bachelor's theses on medical device mechanics, and research internships in dynamical systems visualization and impact phenomena simulation. Laboratory Affiliations Currently conducts research at PainLabMunich (Rechts der Isar Hospital), focusing on computational approaches for medical-mechanical problems. Previously contributed to the Mechanics & High Performance Computing Group at TUM, developing advanced numerical methods for engineering applications.

Vasilis Ntziachristosمشاهده پروفایل

استاد

• Biomedical Imaging
• Optoacoustic Imaging
• Medical Diagnostics
• +۳ مورد دیگر

Prof. Vasilis Ntziachristos is a Professor and Chair of Biological Imaging at the Technical University of Munich (TUM), leading the Institute of Biological and Medical Imaging at the Helmholtz Centre Munich. His research focuses on developing novel optical and optoacoustic imaging techniques for early disease detection, diagnostics, and theranostics. He holds a PhD in Bioengineering from the University of Pennsylvania and previously served as an Assistant Professor at Harvard University and Massachusetts General Hospital. Affiliations: TUM School of Medicine and Health, Helmholtz Munich, Institute of Biological and Medical Imaging. Key Research Themes: Non-invasive imaging methods, molecular imaging, optoacoustic technology, and clinical translation. His work bridges theoretical developments with clinical applications, including advancements in glucose monitoring, cancer imaging, and drug delivery systems. Notable awards include the Leibniz Prize (2013) and the World Molecular Imaging Society Gold Medal (2015). Labs/Teams: Imaging to Sensing I2S, Optoacoustic Mesoscopy, Fluorescence Imaging, and AI in Optoacoustics. Grants/Projects: Involvement in Horizon Europe initiatives and collaborations with TranslaTUM and Helmholtz Munich. Prof. Ntziachristos actively contributes to education via courses like 'Biological Imaging' and 'Introduction to Bioengineering', fostering the next generation of imaging scientists.

Oliver Müllerمشاهده پروفایل

استاد

• Philosophical Anthropology
• Philosophy of Technology
• Ethics
• +۳ مورد دیگر

Prof. Dr. Oliver Müller is a Professor at the Department of Philosophy, University of Freiburg, and serves as Vice Dean of the Faculty of Philosophy. His academic journey includes a doctorate from Humboldt University Berlin (2005) and a habilitation in Philosophy (2012). Müller leads research on Philosophical Anthropology, Philosophy of Technology, and Ethics, with a focus on human-machine interactions and Anthropocene ethics. He supervises doctoral and postdoctoral researchers across projects like livMatS and BrainLinks-BrainTools. Research interests span neuroethics, transhumanism, and socio-technological systems, emphasizing ethical frameworks for emerging technologies. Publications explore AI ethics, drone warfare, and phenomenological embodiment, reflecting interdisciplinary engagement with neuroscience and environmental philosophy. Honors include the MTZ Bioethics Award and Heisenberg Fellowship. Müller directs participatory discourse initiatives bridging art and science, fostering public engagement with technological ethics. His work advances critical dialogues on human enhancement and ecological responsibility in the digital age.

• Embedded Security
• Cryptography
• Hardware Security
• +۵ مورد دیگر

Christof Paar is a Professor of Embedded Security at Ruhr University Bochum's Faculty of Computer Science. His work focuses on hardware security, cryptography, and embedded systems security. He leads the Embedded Security Group within the CASE Cluster of Excellence (Cyber Security in the Age of Large-Scale Attacks), addressing cutting-edge challenges in hardware Trojans, side-channel attacks, and cryptographic engineering. His research spans FPGA and IoT security, with contributions to physical-layer security, wireless jamming defenses, and tamper-resistant systems. Research Interests: Paar's expertise lies in hardware-software co-design for security, with a focus on embedded systems. His work includes analyzing vulnerabilities in FPGAs, developing countermeasures against side-channel attacks, and exploring physical-layer security mechanisms. He also investigates the human factors in hardware reverse engineering and the implications of adversarial machine learning on security systems. Notable Work: Recent publications highlight breakthroughs in detecting hardware Trojans across CMOS generations, breaking industry-standard IP protection mechanisms (IEEE 1735), and proposing novel defenses like IRShield against adversarial wireless sensing. His group actively contributes to standards for secure embedded systems and IoT devices, emphasizing practical implementations.

• Secure Decentralized Systems
• Blockchain Technology
• Systems Security
• +۳ مورد دیگر

Prof. Bryan Ford leads the Decentralized/Distributed Systems (DEDIS) lab at EPFL. He focuses on secure decentralized systems, including blockchain technology, privacy, and systems security. He earned his Ph.D. from MIT and held faculty positions at Yale University and EPFL. His work spans distributed consensus protocols, peer-to-peer networking, and privacy-preserving systems. Key projects include QuePaxa (timeout-free consensus), UIA (global connectivity for mobile devices), and MedCo (secure healthcare data sharing). He advises numerous PhD students and contributes to open-source projects like Bitcoin collective signing and privacy networks like Riffle. Education: Ph.D., MIT; Postdoctoral work at Yale Research interests include blockchain scalability, consensus algorithms, and cryptographic privacy. His lab develops systems like TRIP for coercion-resistant voting and F3B to mitigate blockchain front-running. His work on NAT traversal and peer-to-peer protocols (e.g., STUN/ICE) remains foundational in network architecture. He emphasizes practical, auditable security solutions such as CertiKOS and atomic cross-chain transactions (Atom). Notable contributions: CoSi (collective signing), OmniLedger (sharded blockchain), and privacy-preserving protocols like PURBs (Protected Unsealable Recursive Boxes). His lab collaborates with Swiss Post to audit e-voting systems and designs democratic cryptocurrencies like PoPCoin.

• Product Development Methodology
• Lightweight Structures
• Systems Engineering
• +۵ مورد دیگر

Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts

• Optimization for Machine Learning
• Collaborative Learning
• Distributed Learning
• +۷ مورد دیگر

Sebastian U. Stich is a tenured faculty member at the CISPA Helmholtz Center for Information Security , where he has been since December 2021. He is also a member of the European Lab for Learning and Intelligent Systems (ELLIS) since June 2020. His research focuses on optimization methods for machine learning, collaborative learning algorithms, privacy and security in distributed systems, and theoretical foundations of deep learning. Stich received his PhD in Theoretical Computer Science from ETH Zurich (2014), following a Master's in Mathematics at the same institution (2010-2014). Prior to CISPA, he worked as a research scientist at EPFL (2016-2021) and held positions at ETH Zurich and ICTEAM/CORE. He has been awarded the ERC Consolidator Grant 2024 , Google Research Scholar Award (2023), and Meta Privacy-Enhancing Technologies Research Award (2022). His team includes Dr. Anton Rodomanov (since 2023), Dr. Rotem Mulayoff (since 2024), Xiaowen Jiang (2023), Yuan Gao (2023), and notable alumni like Anastasia Koloskova (defended 2023). Stich actively organizes workshops (e.g., NeurIPS OPT 2024) and serves on editorial boards ( Journal of Optimization Theory and Applications , Transactions on Machine Learning Research ). He teaches advanced courses in optimization at Saarland University and has held visiting positions at MIT. Key scientific contributions include: Developing ProgFed for progressive federated learning (2021) Creating ProxSkip to accelerate communication in federated settings (2022) Formalizing SCAFFOLD with control variates for FL (2020) Introducing RelaySum mechanism for decentralized learning (2021) Proposing Lookahead-Minmax for GAN training (2021) His work addresses fundamental challenges in: Decentralized optimization theory Communication-efficient algorithms Privacy-preserving model training Handling heterogeneous data distributions Stochastic gradient dynamics Second-order optimization methods

• Virtual Reality
• Human-Computer Interaction
• Augmented Reality
• +۴ مورد دیگر

Marc Erich Latoschik is a Professor in the Department of Human-Computer Interaction at the University of Würzburg, Germany. He previously held roles at Bayreuth University, Bielefeld University, and FHTW Berlin. His research focuses on virtual and augmented reality, embodiment, human-computer interaction, and applications in health, education, and social systems. Education: Completed his PhD in 2001 at Bielefeld University with a thesis on multimodal interaction in virtual reality. Research Interests: Embodied interaction, virtual embodiment, presence and plausibility in VR/AR, avatar design, social virtual reality, health applications (e.g., VR therapy for body image issues), and XR security/privacy. Active in developing frameworks like Reality Stack I/O and MAIL for VR/AR research. Key Projects: ViTraS study on body image exercises in VR, avatars for mass use via smartphone reconstruction, and motion-based biometrics in XR. Collaborates with medical teams on cybersickness detection and emergency training simulations. Labs/Teams: Leads research groups on immersive technologies and social VR applications. Involved in interdisciplinary projects combining HCI, AI, and healthcare.

Stefan Lutherمشاهده پروفایل

استاد

• Biomedical Engineering
• Cardiac Physiology
• Nonlinear Dynamics
• +۳ مورد دیگر

Prof. Dr. Stefan Luther is a Max Planck Research Group leader (W2, tenured since 2013) at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, and an Honorarprofessor at the Faculty of Physics, University of Göttingen. He holds adjunct roles as Adjunct Associate Professor at Cornell University (2009–2012) and Northeastern University (2016–2018), and serves as DZHK-Professor at the Institute of Pharmacology and Toxicology, University Medical Center Göttingen. His research focuses on nonlinear spatiotemporal dynamics in excitable biological media, particularly cardiac arrhythmias. He pioneered 4D imaging of heart function and developed algorithms for optogenetic and electrical control of arrhythmias. Translational efforts span basic research to preclinical and clinical studies. Education includes a Diplom in Physics (1997) and PhD (2000) from Georg-August-University, Göttingen. Postdoctoral training followed at the University of Twente (2001–2004) and Cornell University’s LASSP (2004–2006). His lab, the Biomedical Physics group, explores electromechanical coupling in cardiac systems and develops novel therapeutic approaches. Collaborations include work on computational modeling, uncertainty quantification in dynamical systems, and fluid dynamics of multiphase flows.

• Neuroelectronics
• Biomedical Engineering
• Microfabrication
• +۵ مورد دیگر

Lukas Hiendlmeier is a Researcher at the Technical University of Munich, affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Associate Professorship of Neuroelectronics led by Prof. Bernhard Wolfrum. He holds a Master of Science in Mechanical Engineering from TUM. His research focuses on advanced fabrication technologies such as 3D printing, laser micromachining, and polymer material science, with applications in neuroelectronics and biomedical devices. Hiendlmeier’s work emphasizes developing self-folding bioelectronic interfaces, flexible electrodes, and implantable neural devices for peripheral nerve interfacing. His contributions include innovations in 4D printing techniques, thermoformed materials, and origami-inspired electrode designs. He collaborates on projects involving cell manipulation, microfluidic lab-on-a-chip systems, and closed-loop neural stimulation systems. Publications span topics like self-folding bioelectronics, flexible sensor arrays, and nanorobotics, showcasing expertise in materials science and biomedical engineering. His research bridges fundamental science and translational applications, addressing challenges in neural prosthetics, wearable diagnostics, and tissue engineering. Hiendlmeier is actively involved in the neuroTUM initiative and contributes to interdisciplinary teams at TUM, focusing on advancing neurotechnology through innovative fabrication methods and biomaterials.

• Quantum Physics
• Solid State Physics
• Quantum Sensing
• +۵ مورد دیگر

Prof. Dr. Nabeel Aslam is a Full (W3) Professor in Physics at the Felix Bloch Institute for Solid State Physics , Leipzig University, Germany, since September 2023. He previously held a Tenure Track W1 Juniorprofessor position at TU Braunschweig (2022–23) and was a Feodor Lynen Fellow at Harvard University (2018–22). His research focuses on quantum sensing, spin qubits, and nanoscale nuclear magnetic resonance (NMR). Education: Dr. rer. nat. in Physics (2018), University of Stuttgart Diplom in Physics (2012), Johannes Gutenberg University Mainz Bachelor of Science in Economics (2012), Johannes Gutenberg University Mainz Research Interests span quantum information, solid-state physics, and nanotechnology. His work leverages nitrogen-vacancy (NV) centers in diamond for high-resolution quantum sensing, probing spin dynamics in 2D materials, and developing programmable quantum processors with mechanically mediated interactions. Recent efforts include biomedical applications of quantum sensors and enhancing NMR capabilities at the nanoscale. Publication Trends highlight advancements in quantum sensing technologies, spin-mechanical systems, and nanoscale spectroscopy. Key themes include NV center optimization, 2D material analysis, and quantum memory engineering for biomedical and quantum computing applications. Scientific Awards Quantum Futur group funding (2022) Bruker Thesis Prize (2020) Finalist in Quantum Futur Award (2019) Feodor Lynen Fellowship (2019) Exchange Program Fellowship by SFB/TRR 21 (2017) Advising & Grants include mentorship under Prof. Mikhail Lukin and Prof. Hongkun Park during his postdoc at Harvard. His current lab at Leipzig University investigates quantum information processing and biomedical sensing, supported by the Quantum Futur grant. Labs & Teams involve the Quantum Information Group at Leipzig University, focusing on quantum sensors, spin qubits, and related technologies.

• Intensive Care Medicine
• Critical Care
• Sepsis
• +۹ مورد دیگر

Stefan Kluge is a Professor at the Department of Intensive Care within the University Medical Center Hamburg-Eppendorf . With over 150 publications in 2025-2024 alone, his work focuses on critical care medicine, sepsis, ARDS, and cardiogenic shock. His recent research explores ARDS impact on liver cirrhosis outcomes Hyperoxia effects in traumatic brain injury Biomarkers for cardiogenic shock prognosis Novel retrograde limb perfusion techniques during ECPR Dual-energy CT for body composition analysis He contributes extensively to German national guidelines for nosocomial pneumonia and participates in multi-center critical care trials. Stefan Kluge's collaborations span neuro-intensive care , cardiovascular research , and infection/immunity domains. His work integrates machine learning applications and medical informatics to improve ICU decision-making.

Thomas Hermannمشاهده پروفایل

پژوهشگر

• Auditory Data Science
• Interactive Sonification
• Smart Environments
• +۵ مورد دیگر

Dr. rer. nat. Thomas Hermann is a faculty member at Bielefeld University's Faculty of Engineering, leading the Ambient Intelligence Group and coordinating the Computer Science program. He specializes in sonification, auditory data science, and smart environments. Head of Ambient Intelligence Working Group Computer Science Program Coordinator Member of multiple academic advisory boards His research focuses on interactive sonification for biomedical applications, quantum systems, and smart environments. Key projects include ECG sonification for cardiac diagnosis, real-time auditory feedback in swimming, and sonic interfaces for AR cooperation. Recent publications span 2025 with Python-based sonification tools ( pya AGen ), quantum system sonification, and ST-elevation myocardial infarction monitoring. He contributes to open-access supplementary materials and interdisciplinary workshops. As a researcher , Hermann develops practical sonification frameworks like Panson for facial behavior analysis, CardioScope for portable ECG monitoring, and Base Cube One for smart environments. His work bridges academic research with industry applications.