جست‌وجوی استاد و پژوهشگر

Tobias Seidlمشاهده پروفایل

استاد

• Bionics
• Biomechanics
• Neuroethology
• +۳ مورد دیگر

Prof. Tobias Seidl serves as Vice Dean at the Westphalian Institute for Bionics within the Department of Mechanical Engineering at the Westphalian University of Applied Sciences in Bocholt, Germany. He has been with the university since January 2011, teaching bionics and sensor technology while leading research in biomimetic applications for robotics and engineering. Education: Bionics studies at Saarbrücken PhD on desert ant navigation systems under Rüdiger Wehner at the University of Zurich with fieldwork in Tunisia Professional experience at the European Space Agency (ESA) in Noordwijk, Netherlands Research Focus: Prof. Seidl's work centers on bionics , translating biological principles into engineering solutions. His expertise spans neuroethology (neural basis of natural behavior), functional morphology (structure-function relationships), and biomechanics . Key application areas include biomimetic robotics inspired by ants and spiders, sensor development, and bio-inspired materials. His research consistently bridges entomology with robotics, aerospace, and materials science to solve complex engineering challenges. Publication Trends: Recent publications (2025-2016) reveal a strong focus on biomimetic applications in robotics, 3D printing, and aerospace. Dominant themes include adaptive biomimetic valves for automotive cooling, force-based path integration in walking robots, hydrophobic surface replication, and satellite deployable structures inspired by insect wings. His work consistently leverages biological observations—particularly from desert ants and spiders—to advance robotic locomotion, adhesion mechanisms, and space technology. Research Infrastructure: As head of the Westphalian Institute for Bionics, Prof. Seidl leads R&D projects such as developing force sensors in ant legs for robotic applications. His institute serves as a hub for interdisciplinary collaboration between biologists and engineers, focusing on translating biological insights into technical innovations for automotive, aerospace, and medical applications.

Jinxue Dingمشاهده پروفایل

پژوهشگر

• Dislocations in Ceramics
• Thermoelectric Materials
• Thermal Conductivity Reduction
• +۳ مورد دیگر

Jinxue Ding is a postdoctoral researcher at the Karlsruhe Institute of Technology (KIT) within the Mechanics of Materials 1 (WM1) group under Dr. habil. Xufei Fang. His research focuses on dislocation engineering in ceramics and its impact on thermoelectric properties, with a particular emphasis on thermal conductivity reduction and material stability under extreme conditions. Ph.D. in Materials Science (2021-2024), Technical University of Darmstadt MSc in Materials Science (2018-2021), Northwestern Polytechnical University MSc in Materials Science (2019-2020), Technical University of Madrid BSc in Polymer Materials and Engineering (2014-2018), Northwestern Polytechnical University His work explores dislocation-tuned functionalities in ceramics, combining advanced characterization with innovative processing techniques like cold sintering and polymer-derived synthesis. Recent studies investigate high-entropy ceramic composites, electromagnetic absorption materials, and dislocation-mediated thermal property optimization. Research trends from his publications highlight interdisciplinary approaches at the intersection of ceramic engineering, thermoelectric material design, and defect mechanics. Key methodologies include microstructural analysis, phase evolution studies, and mechanical property evaluation of advanced ceramics. Jinxue Ding is part of the IAM-MMI (Institute of Applied Materials - Mechanics of Materials and Interfaces) team at KIT, contributing to fundamental research in ceramic materials and participating in collaborative projects with international institutions.

• Control Engineering
• Robotics
• Mechanical Engineering
• +۳ مورد دیگر

Lingchong Gao is a researcher at the Chair of Material Handling, Material Flow, Logistics (fml) at Technical University of Munich, specializing in dynamics and control of hydraulic crane systems. His work integrates port-Hamiltonian formulations with optimal control strategies to address flexible boom manipulator challenges in material handling. His research focuses on control engineering for heavy machinery , particularly anti-sway control of double-pendulum cranes, trajectory optimization for knuckle boom systems, and wear analysis in bulk transport equipment. Key methodologies include neural network controllers based on Lyapunov stability, geometrically exact beam theory for flexible structures, and symplectic approaches for nonlinear optimal control problems. Analysis of his 15 most recent publications (2019-2025) reveals a concentrated research trajectory: early work established foundations in port-Hamiltonian modeling of telescopic booms (2019), evolving through flexible dynamics simulation (2020-2021) to advanced quasi-static control strategies (2023) and differential dynamic programming for trajectory planning (2025). Over 80% of his publications directly address crane system dynamics, with emerging emphasis on computational efficiency in hydraulic actuation. Dr. Gao actively supervises student theses, seeking candidates with expertise in Mechanics, Hydraulic Systems, and Optimal Control Theory for bachelor/master projects. He leads the project Dynamic Structure-preserving Analysis and Control of Flexible Long Boom Manipulator Based on Port-Hamiltonian System , securing research continuity in this niche. As core personnel in Prof. Johannes Fottner's research group, he contributes to TUM's logistics innovation ecosystem including 5G applications in material flow . The fml chair maintains strong industry partnerships for translating theoretical advances into port logistics and construction equipment solutions.

Emanuel Regnathمشاهده پروفایل

مربی

• IoT Security
• Blockchain Applications
• Embedded Systems Security
• +۳ مورد دیگر

Emanuel Regnath is a Tutor at the Chair of Embedded Systems and Internet of Things under Prof. Dr. Sebastian Steinhorst at the Technische Universität München . His work spans research, teaching, and supervision of student theses. Research focuses on Secure Decentralization Methodologies for the Internet of Things Teaching includes courses like Software Architecture for Distributed Embedded Systems and IoT Security His research interests include: Consensus Protocols for Cyber-Physical Systems synchronization Blockchain applications in resource-constrained devices Lightweight Message Authentication using hash-based signatures Key publication trends span: Decentralized vehicle coordination (2019-2021) Blockchain verification for IoT (2015-2020) Security architectures for autonomous systems (2017-2021) Supervised student work includes: Tariro Chingosho: "Designing a Notation System for Consensus Algorithms" (2021) Donát Nagy: "Reputation Framework to Increase Reputation Accuracy" (2021) Markus Moskopp: "Implementation and Evaluation of Consensus Protocols for IoT Systems" (2021) ...and 12 other theses from 2015-2021.

Katja Rinderspacherمشاهده پروفایل

پژوهشگر

• Computational Design
• Digital Fabrication
• Erosion-Based Morphologies
• +۶ مورد دیگر

Katja Rinderspacher is a Researcher at the University of Stuttgart's Institute for Computational Design and Construction (ICD), where she coordinates the ITECH M.Sc. Programme since 2013. Holding a Master of Architecture (Hons) from Pratt Institute and a Diploma in Engineering from Fachhochschule Mainz, she is a registered architect in Germany. Her work bridges computational design, digital fabrication, and natural material systems. Educational Background: M.Arch. (Hons), Pratt Institute, New York Dipl.-Ing. (FH), Fachhochschule Mainz, Germany Her research focuses on erosion-based morphologies and hybrid building systems, with projects like the LivMatS Pavilion , Maison Fibre , and HygroSkin exemplifying her work in natural fiber composites and climate-responsive architecture. Publications since 2013 explore computational design workflows, robotic construction, and sustainable material integration. Scientific Awards: Fulbright Scholarship DAAD Scholarship Landesgraduierten-Scholarship She teaches courses such as Behavioral Design and Fabrication , Erosion-Based Morphologies , and Geometry and CAD , while coordinating thesis projects like Terra Incognita and Adaptive Intelligent Space . Collaborations with institutions like ACADIA and IASS highlight her interdisciplinary contributions.

Le Chenمشاهده پروفایل

پژوهشگر

• Robotics
• Machine Learning
• Reinforcement Learning
• +۵ مورد دیگر

Le Chen is a Doctoral Researcher at the Empirical Inference Department of the Max Planck Institute for Intelligent Systems and ETH Zurich , advised by Prof. Bernhard Schölkopf and Prof. Dieter Büchler. Previously, he obtained his M.S. in Electrical Engineering and Information Technology from ETH Zurich and gained research experience at Microsoft Mixed Reality & AI Lab, Tencent AI Lab, and Tencent Robotics X Lab. Research Interests: Le Chen focuses on the intersection of robotics and machine learning, with a specific emphasis on reinforcement learning for dexterous manipulation, visual-inertial calibration, and uncertainty-aware robotic perception. His work spans dynamic motion control, policy gradient subspaces, and novel algorithms for 3D/4D reconstruction. Key Contributions: He co-developed the RP1M dataset for bimanual piano manipulation and contributed to tendon-driven robot design ( Safe & Accurate ) and LEAP-VO for robust visual odometry. His research also includes Gaussian splatting dynamics for 4D content creation ( GaussianFlow ). Scientific Awards: Best Systems Paper Finalist at RSS 2024 for the RP1M dataset

Viktor Maurerمشاهده پروفایل

پژوهشگر

• Nanomedicine
• Drug Delivery Systems
• Biosensors
• +۳ مورد دیگر

Dr.-Ing. Viktor Maurer is a researcher at Technische Universität Braunschweig's Faculty of Mechanical Engineering, specifically within the Institute for Particle Technology. He leads the Nanomedicine competence team and the spin-off project InCapSolution, focusing on multifunctional drug delivery systems, biosensors, 3D bioprinting, and magnetic particle applications for biotechnology. Current affiliation: TU Braunschweig (Faculty of Mechanical Engineering, Institute for Particle Technology) Research focus: Nanomedicine, Hybrid nanoparticle systems, Targeted drug delivery Key projects: InCapSolution spin-off, Magnetic biosensor development His research spans advanced nanocarrier design and biomedical applications. Recent publications demonstrate expertise in creating multifunctional systems combining magnetic targeting with diagnostic capabilities. His work intersects materials science, bioengineering, and pharmaceutical technology through innovative nanoscale solutions. Scientific publications show a consistent focus on nanoparticle-based biomedical applications from 2014-2023, with increasing specialization in dual-function therapeutic/diagnostic systems. Key collaboration networks include TU Braunschweig faculty members and PTB (Physikalisch-Technische Bundesanstalt) researchers.

Karl Vorländerمشاهده پروفایل

پژوهشگر

• Pharmaceutical Technology
• Biotechnology
• Particle Technology
• +۳ مورد دیگر

Karl Vorländer is a Researcher at the Institute for Particle Technology , part of the Faculty of Mechanical Engineering at Technische Universität Braunschweig. He has been affiliated with the university since 2013, focusing on pharmaceutical technology and bioprocessing. Education: Biotechnology degree (2013–2016) at TU Braunschweig; Master’s and Bachelor’s theses centered on microbial preservation and process engineering. His research explores the mechanical impacts on microbial viability during pharmaceutical manufacturing processes like fluidized bed granulation, spray drying, and tableting. This work bridges biotechnology with particle technology to optimize probiotic tablet production. Karl’s publications (2020–2025) analyze compression dynamics, protectants, and carrier materials in tablet production, highlighting interdisciplinary applications of biotechnology, mechanical engineering, and pharmaceutical science. He is based at the Pharmazeutische Technologie lab (Franz-Liszt Str. 35A, Room 262) and contributes to advancing research in bioprocessing equipment and production chain optimization.

Hartmut Haehnelمشاهده پروفایل

استاد

• Automation Engineering
• Robotics
• Image Processing
• +۳ مورد دیگر

Prof. Dr.-Ing. Hartmut Haehnel is a professor at the Hochschule Düsseldorf (University of Applied Sciences) in the Faculty of Electrical Engineering & Information Technology . His academic career spans over 25 years, focusing on Automation Engineering , Robotics , and Industrial Communication Systems . Specialization in mobile, stationary, and cooperative robotic systems Research on terahertz technology for non-contact measurements Active in work-integrated engineering education and tele-labs Research Trends Recent publications highlight terahertz imaging, 3D printing quality inspection, and real-time human-machine interfaces using open web standards. His work bridges automation technology with emerging fields like multimedia communication and non-destructive testing . Labs & Initiatives Co-founder of the FMDauto Institute for hybrid production processes Gründungsmitglied of the VFAALE association for automation in education Lead of the AUTLAB (Automation & Robotics Lab) and FAB21 model factory Collaborative Projects Current DFG-funded projects include Smart Production for low-cost 3D printing and flexible tooling systems, with international partners across Germany, Netherlands, and Mexico.

• Glycosaminoglycan (GAG) Interactions
• Cellular Biophysics
• Biointerface Engineering
• +۳ مورد دیگر

PD Dr. Heike Böhm is a Group Leader in the Department of Cellular Biophysics at the University Heidelberg, specializing in glycosaminoglycan (GAG) interactions and their role in cellular behavior. She leads cross-disciplinary research integrating chemistry, biophysics, and materials science to study hyaluronan-rich cell coats and synthetic hydrogels.

• Structural Coloration in Plants
• Cellulose-Hemicellulose Interactions
• Molecular Dynamics Simulation
• +۳ مورد دیگر

Dr. Hanieh Mianehrow is a postdoctoral researcher and Maria Skłodowska-Curie postdoctoral fellow at the Max Planck Institute of Colloids and Interfaces. She focuses on molecular dynamics simulations and experimental studies of cellulose-hemicellulose interactions, structural coloration in plants, and bio-inspired nanocomposite materials within the Department of Sustainable and Bio-inspired Materials led by Prof. Silvia Vignolini. Bachelor’s/Master’s in Polymer Engineering, Tehran, Iran PhD in Fiber and Polymer Science, KTH Royal Institute of Technology, Stockholm Her research explores the molecular mechanisms behind structural colors in fruits like Margaritaria nobilis, using molecular dynamics (MD) simulations to analyze xylan-cellulose interactions. She also investigates bio-nanocomposites of cellulose and graphene oxide, with applications in sustainable materials and mechanical reinforcement. Dr. Mianehrow’s publications focus on moisture effects in cellulose-graphene nanocomposites, interface engineering, and structural coloration. These works span nanotechnology, materials science, and computational modeling. Maria Skłodowska-Curie Postdoctoral Fellowship At the Max Planck Institute, she integrates advanced simulation techniques with experimental characterization to unravel the self-assembly processes in plant cell walls, aiming to develop novel bio-inspired materials with tailored optical and mechanical properties.

• Robotics
• Control Systems
• Reinforcement Learning
• +۴ مورد دیگر

Zhen Kan is a Professor in the Mechanical and Aerospace Engineering Department at the University of Florida's College of Engineering, with previous affiliations at the University of Iowa and the Air Force Research Laboratory (AFRL). His extensive publication record spans over 15 years with significant output in recent years, indicating an active research career in robotics and control systems. Dr. Kan's research focuses on advanced robotics systems with expertise in temporal logic motion planning, reinforcement learning, and human-robot interaction. His work bridges theoretical control systems with practical robotics applications, particularly in multi-robot coordination, autonomous systems, and wearable robotics. The research demonstrates a strong emphasis on formal methods for ensuring safety and correctness in complex robotic systems. Analysis of recent publications reveals a consistent research trajectory centered around temporal logic specifications for robotic systems, with increasing integration of machine learning techniques. His work shows progression from theoretical control frameworks to practical implementations in quadruped robots, exoskeletons, and multi-robot systems operating in dynamic environments. Dr. Kan has established significant collaborations with researchers across multiple institutions, particularly with Warren E. Dixon (35 co-authored papers), Zhijun Li (23 papers), and Mingyu Cai (22 papers), indicating leadership in collaborative research projects. His publications appear in top-tier venues including IEEE Transactions on Robotics, IEEE Transactions on Automatic Control, and International Journal of Robotics Research. While specific grant information isn't visible in the provided text, the volume and quality of publications suggest substantial research funding. Dr. Kan's work has practical applications in autonomous systems, human-robot collaboration, and assistive technologies, with potential impact in defense, healthcare, and industrial automation sectors.

Arya Mazaheriمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Parallel Processing
• Machine Learning
• +۵ مورد دیگر

Arya Mazaheri is a Research Leader at PanocularAI, affiliated with the Technische Universität Darmstadt. His work bridges high-performance computing (HPC) and machine learning, focusing on optimizing large-scale computational systems. Based at Hochschulstr. 10, Darmstadt, Germany, he contributes to GPU acceleration, neural network pruning, and parallel processing. PhD in Performance Engineering of Data-Intensive Applications (2022) Key areas: HPC, Machine Learning, GPU Computing, Neural Network Pruning Research Trends: Mazaheri's publications from 2015-2024 reveal expertise in: Accelerating LLM inference through pipelined speculation Topology-aware network pruning with reinforcement learning GPU-based spacecraft trajectory simulations Performance portability in tensor operations Hardware-independent communication metrics for parallel systems

Alexander Perzyloمشاهده پروفایل

پژوهشگر

• Robotics
• Semantic Systems
• Industry 4.0
• +۷ مورد دیگر

Alexander Perzylo is a Researcher at fortiss , an affiliated institute of the Technical University of Munich (TUM) . He has been with fortiss since 2013 and previously worked as a Research Associate/Doctoral Student at TUM's Chair of Computer Science VI (Real-Time Systems and Robotics) from 2010 to 2013. He holds an M.Sc. and B.Sc. in Computer Science from TUM (2009 and 2005). Education B.Sc. in Computer Science, TUM (2005) M.Sc. in Computer Science, TUM (2009) His research focuses on robotics , semantic systems , Industry 4.0 , CAD analysis , and sustainability reporting ontologies . He specializes in knowledge representation, geometric constraints, and intuitive robot programming frameworks. Recent publications highlight trends in ontology-based CAD analysis , LLMs for geometric reasoning , semantic manufacturing processes , and knowledge-augmented socio-technical systems . His work bridges knowledge graphs , robotic assembly , and digital twins . Scientific Awards Best Cognitive Robotics Paper Award (2015) Perzylo has contributed to numerous EU H2020 , BMBF , and StMWi Bayern projects, including SMErobotics, RoboEarth, and DiProLeA. He has taught courses on Cognitive Robotics and Human-Robot Interaction at TUM since 2012.

• GPU computing
• Parallel computing
• Domain-specific languages
• +۹ مورد دیگر

Prof. Dr.-Ing. Richard Membarth is a faculty member at Technische Hochschule Ingolstadt , where he holds the professorship for System-on-a-Chip and AI for Edge Computing. He is also affiliated with the German Research Center for Artificial Intelligence (DFKI) as a Senior Researcher and Team Leader for Compiler Technologies and High-Performance Computing, and with the Saarland University Computer Graphics Lab . His research spans GPU computing, domain-specific languages, and compilers. PhD from Friedrich-Alexander University Erlangen-Nürnberg (2013) Postgraduate diploma from Auckland University of Technology His research focuses on: Parallel computer architectures and programming models Automatic code generation for embedded to HPC systems Image processing, computer graphics, and deep learning applications Domain-specific languages for performance-portable code Recent publications highlight compiler design, GPU acceleration, and parallel algorithms. Scientific awards include the HiPEAC Paper Award (2018) and GPCE Best Paper Award (2015) . Professional roles include organizing High-Performance Graphics conferences as Treasurer (2024-2025) and Papers Chair (2020).