جستجوی استاد راهنمای دانشگاهی

• Biomechanical Engineering
• Human Motion Prediction
• Dynamic Analysis
• +۱۴ مورد دیگر

Rosa Pamies Vila is a researcher affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Department of Mechanical Engineering at the Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB). She is actively involved in the BIOMEC - Biomechanical Engineering Lab and the TecSalut - Research Group in Health Technologies, contributing to interdisciplinary research at the intersection of engineering and healthcare. Her expertise lies in biomechanical engineering, dynamic analysis, human motion prediction, and simulation, with a strong emphasis on clinical applications such as neuromuscular disease assessment and robotic rehabilitation. She also conducts significant work in engineering education, focusing on innovative pedagogical methods like augmented reality, gamification, service learning, and AI integration in teaching. The recent publications highlight a dual research focus: (1) advancing clinical tools through wearable sensors (IMUs), digital biomarkers, and novel electrode designs (e.g., aCUP-E) for neonatal and pediatric neurology; and (2) transforming mechanical engineering education with technology-enhanced learning strategies. Her work consistently bridges theoretical dynamics with practical medical and educational applications. Scientific Awards: 5è Premi UPC al Compromís Social: Canvia el món amb la UPC Premios Fenin-SEIB 2024 XI Reunión del Capítulo Español de la Sociedad Europea de Biomecánica PREMIOS FENIN-SEIB 2022 Mejor investigación presentada en la XII Reunión del Capítulo Español de la Sociedad Europea de Biomecánica Rosa Pamies Vila has been involved in advising and mentoring students, particularly in educational innovation projects and research in biomechanics. She has participated in multiple competitive R&D+i projects, including those funded by RIS3CAT and the State Research Program, often in collaboration with multidisciplinary teams. Her work in educational grants focuses on sustainable engineering, digital tools, and societal impact learning. She is a member of key research labs including BIOMEC - Biomechanical Engineering Lab and TecSalut, where she contributes to projects involving human motion analysis, sensor development, and health technology innovation. Her collaborative network spans across UPC and external institutions, particularly in biomedical engineering, rehabilitation robotics, and educational technology.

• Robotics
• IoT Security
• Brain-Computer Interfaces
• +۳ مورد دیگر

Dr. Usman Ghafoor is a researcher specializing in robotics, IoT security, and neuroengineering. His work bridges machine learning with biomedical systems, focusing on brain-computer interfaces (BCIs), neuromodulation, and robotic control mechanisms. Key Research Areas: Robotics, IoT Malware Detection, Hybrid EEG-fNIRS Systems, Deep Learning Applications His recent publications highlight interdisciplinary approaches to multibody robot control, neurorehabilitation, and real-time BCI optimization. Collaborative work with experts like Keum-Shik Hong demonstrates his integration into cutting-edge neuroscience and robotics projects. While specific institutional affiliations are not detailed in the provided text, his contributions to journals such as Robotics , Scientific Reports , and Frontiers in Neurorobotics indicate significant academic engagement.

Johannes Funkenمشاهده پروفایل

پژوهشگر

• Sports Prosthetics
• Sports Biomechanics
• Clinical Biomechanics
• +۵ مورد دیگر

Johannes Funken is a Researcher at the Institute of Biomechanics and Orthopaedics at German Sport University Cologne . He holds a PhD in Sports Science (2019) and M.Sc./B.Sc. in Sports Technology and Sport & Performance. Active in biomechanical research, he serves as Secretary-General of the International Society of Biomechanics in Sports and collaborates with researchers like Wolfgang Potthast (55 joint publications), Ralf Müller (27), and Steffen Willwacher (22). Education: PhD in Sports Science, German Sport University Cologne (2019) M.Sc. Sports Technology, German Sport University Cologne (2015) B.Sc. Sport and Performance, German Sport University Cologne (2012) Key Research Areas: Sports prosthetics and amputee mechanics Para athletics performance and injury prevention Musculoskeletal modeling and multibody systems Brain-behavior interactions in head acceleration Adaptive sports for short stature and achondroplasia Clinical biomechanics in knee/leg injuries Collaborations: Working with clinicians (Semler), engineers (Krämer), and sport scientists International partners in Japan (media interest in 2017) and Australia (van de Vliet) Funding: Grants for prosthesis ergonomics and long jump load analysis Internal and third-party funded projects since 2011 Scientific Recognition: 5+ awards including research fellowships and best master's thesis Media features on prosthetic sprinting (2015-2017)

Makoto Iwasakiمشاهده پروفایل

استاد

• Mechatronics
• Control Engineering
• Industrial Electronics
• +۵ مورد دیگر

Makoto Iwasaki is a Professor at the Nagoya Institute of Technology , Department of Electrical and Mechanical Engineering. He holds prestigious fellowships including IEEE Fellow (2015) and IEEJ Fellow (2021), and serves as Vice President (International and Global Activities) since 2024. Ph.D. in Electrical and Computer Engineering (Nagoya Institute of Technology, 1991) Professional memberships: IEEE Fellow, IEEJ Fellow, Science Council of Japan Member His research interests focus on intelligent motion control systems, with key contributions to: High-speed, high-precision positioning methodologies Nonlinear friction compensation Equivalent-input-disturbance approaches Robust control for mechatronic devices Soft computing applications in motion control Modeling and control of harmonic drive systems Recent publications emphasize advanced control strategies for industrial robots, autonomous vehicles, and collaborative systems, particularly addressing environmental adaptability, disturbance rejection, and nonlinear dynamics. His work integrates mechatronics with AI techniques for precision applications. Scientific awards include: 2025 IEEE Japan Best Paper Award 2024 IEEJ Technical Achievement Award 2022 AAIA Fellowship 2022 IEEE/IES Senior AdCom Honor He has secured significant grants from the Japan Society for the Promotion of Science (JSPS) for projects on: High-speed industrial robot control (Grant-in-Aid for Scientific Research A) Collaborative robot safety/precision (Grant-in-Aid for Scientific Research B) Harmonic drive positioning systems (JSPS C Grant) As an educator, he teaches Advanced Motion Control and Electrical Circuit Fundamentals , and leads the NIT Iwasaki Laboratory in mechatronics research.

• Mechanical Engineering
• Biomechatronics
• Multibody Dynamics
• +۳ مورد دیگر

Prof. Dr.-Ing. Rolf Naumann serves as a faculty member in the Faculty of Engineering at Bielefeld University. He holds the academic rank of Professor and maintains an active teaching and administrative role within the institution. His primary academic responsibilities include serving as a lecturer for the Faculty of Engineering and acting as Personal Deputy for Prof. Dr.-Ing. Joachim Waßmuth on the Examination Boards for the Biomechatronics (Master) program. His technical expertise is demonstrated through his module responsibility for FH-MKS-2011 Multibody Simulation , which indicates specialization in advanced mechanical systems modeling. Professor Naumann's research interests focus on mechanical engineering systems, particularly in the areas of biomechatronics, multibody dynamics, and computational mechanics. His work bridges theoretical engineering principles with practical applications in robotic and biomechanical systems. He maintains office HSBI D-306 and can be reached at +49 521 106-7483, reflecting his active engagement with the university community.

Henrik Ebelمشاهده پروفایل

استادیار

• Robotics
• Cooperative Robotics
• Model Predictive Control
• +۶ مورد دیگر

Henrik Ebel is an Assistant Professor (Tenure Track) in Mechanical Engineering at Lappeenranta-Lahti University of Technology (LUT), specifically within the LUT School of Energy Systems. He joined LUT in 2024 after previously working at the University of Stuttgart's Institute of Engineering and Computational Mechanics from 2016 to 2024. Dr. Ebel's research focuses on the intersection of artificial intelligence, machine learning, and mechanical engineering, with particular emphasis on: Distributed cooperative robotics Model predictive control systems Non-holonomic robot control Data-driven approaches to mechanical engineering problems Automation systems development His research aims to bring cooperative robotics from laboratory settings to real-world applications in Finland, focusing on using multiple simple and cost-efficient robots that collaborate to solve problems rather than relying on single complex machines. He believes automation promotes sustainability through better energy conservation, generation, and storage compared to manual processes. His recent publications demonstrate consistent advancement in cooperative robotics, control systems, and machine learning applications in mechanical engineering. As an educator, Dr. Ebel supervises doctoral students and finds fulfillment in seeing them grow and succeed in their research. He values the human aspect of academia and enjoys teaching as a complement to his research work, noting that honing teaching skills helps him explain research better and pass on important future-oriented knowledge.

• Robotics
• Mechanism Design
• Machine Dynamics
• +۴ مورد دیگر

Prof. Burkhard Corves serves as Director of the Institute of Mechanism Technology, Machine Dynamics and Robotics within the Faculty of Mechanical Engineering at RWTH Aachen University. His academic leadership spans robotics, mechanism theory, and dynamic systems engineering, with significant contributions to industrial automation and sustainable manufacturing applications. His research concentrates on Robotics, Mechanism Design, Machine Dynamics, and Multibody Simulation, with recent emphasis on compliant gripper development for surgical applications, energy-efficient cam mechanisms, and human-robot collaboration systems for inclusive workplaces. Key investigations address data-driven trajectory optimization, sustainable ship recycling processes, and real-time simulation techniques for bicycle and vehicle dynamics. Analysis of his 15 most recent publications (2024-2026) reveals dominant themes in industrial robotics (particularly delta robots and pick-and-place systems), compliant mechanism design for medical applications, and sustainable manufacturing processes. Significant focus appears on real-time multibody simulation for transportation systems, control strategies for vibration suppression, and recycling automation aligned with circular economy principles. Emerging work explores human-robot collaboration for disability inclusion and bioprocessing optimization. Scientific Awards No awards were documented in the provided materials. Advising and Grants Specific student supervision details and grant funding information were not included in the source documentation. Laboratories and Teams Prof. Corves leads the Institute of Mechanism Technology, Machine Dynamics and Robotics (IGMR), directing research in robotic systems for manufacturing, sustainable ship recycling, and bicycle dynamics simulation. The institute actively participates in interdisciplinary projects including Bots2ReC (semi-autonomous asbestos removal) and sustainable EV battery recycling initiatives, with strong emphasis on practical engineering solutions for industrial challenges.

Shravan Veerapaneniمشاهده پروفایل

استاد

• Scientific computing
• Fast algorithms
• Potential theory
• +۱۰ مورد دیگر

Shravan Veerapaneni is a Professor in the Department of Mathematics at the University of Michigan, within the College of Literature, Science, and the Arts. His research focuses on developing large-scale computational tools for solving differential and integral equations on complex moving geometries that arise in engineering and biophysics. His work spans multiple interdisciplinary areas connecting mathematics, computational science, and applied physics. Education: B.S. from Indian Institute of Technology (2003), Ph.D. from University of Pennsylvania (2008) Previous Position: Research Scientist at Courant Institute of Mathematical Sciences (NYU), 2008-2011 Teaching: Courses include Math 671, Math 371 (Numerical Methods for Engineers), and Math 156 (Applied Honors Calculus II) Professor Veerapaneni's research interests encompass scientific computing, fast algorithms, potential theory, complex fluids, microfluidics, soft-matter, and biomechanics. His core application areas include biomembrane mechanics, blood flow modeling, cilia-driven flows, and microfluidic-chip design. More recently, he has expanded his research to include scalable solvers and machine learning techniques for autonomous vehicle mobility in off-road settings. His work demonstrates a strong emphasis on developing high-order accurate numerical methods with practical applications in biomedical engineering and fluid dynamics. His publications reveal a consistent focus on boundary integral methods, Stokes flow simulations, and optimization problems in complex geometries. The research shows progression from fundamental mathematical methods to increasingly complex applications in biophysics and engineering. His work on vesicle dynamics, microswimmers, and particulate suspensions demonstrates expertise in computational fluid dynamics at microscales. NSF CAREER Award (2015) for project 'Fast Algorithms for Particulate Flows' Professor Veerapaneni has developed computational frameworks for simulating complex fluid-structure interactions, with applications ranging from biological systems (vesicles, cilia) to engineering problems (microfluidic chips, autonomous vehicles). His group has produced significant software contributions including visualization tools for fluid dynamics simulations, as evidenced by the animations of vesicle flows on his website. His collaborative work spans mathematics, engineering, and computer science departments, reflecting the interdisciplinary nature of his research.

• Applied Mechanics
• Robotics
• Vehicle Dynamics
• +۳ مورد دیگر

Giacomo Mantriota is a Full Professor at the Department of Mechanics, Mathematics & Management (DMMM) within Politecnico di Bari, Italy. His research spans multiple domains in applied mechanics, focusing on robotics and vehicle dynamics. Key research themes include tracked robot mobility, vacuum grasping mechanisms, and energy-efficient vehicle systems. Academic rank: Full Professor Department: Mechanics, Mathematics & Management Primary research areas: Robotics, Vehicle Dynamics, Energy Recovery Systems Email: giacomo.mantriota@poliba.it Current research initiatives involve obstacle negotiation for tracked robots, deformable tyre dynamics, and nonlinear control systems for electric vehicles. His work on vacuum grippers explores underactuation and partial contact loss in industrial automation contexts. Scientific publications demonstrate consistent output across 2022-2025, with recent emphasis on: Stair-climbing robotics Multi-actuator vehicle control Energy recovery in prosthetic joints Compound transmission efficiency

• Automotive Engineering
• Mechanical Engineering
• Finite Element Analysis
• +۳ مورد دیگر

Angel Luis Martin Lopez is a Part-Time Lecturer in Mechanical Engineering at the Technical University of Madrid (UPM), affiliated with the University Institute of Automotive Research (INSIA). His career spans over 15 years of teaching and professional experience in vehicle and transport engineering, with active involvement in research groups like GIVET since 2005. His research focuses on simulation techniques and tools for vehicle design, including finite element method (FEM) for passive safety, multibody simulation (CARSIM, TRUCKSIM, ADAMS-CAR), dynamic system modeling in MATLAB/SIMULINK, and CFD analysis validated through OpenFOAM and experimental tests. He specializes in defining test procedures, instrumentation, and certification processes for vehicles. While he has published five articles and presented at 25 conferences, most of his work emphasizes technology transfer through contracts with over 40 companies and vehicle certification for the Ministry of Industry. His roles at INSIA include Secretary of the Institute (since 2023) and leadership in the Industrial and Special Vehicle Engineering Unit.

• Mechanical Engineering
• Mechatronics
• System Identification
• +۷ مورد دیگر

Bart Blockmans is a Research Fellow at KU Leuven, affiliated with the Mecha(tro)nic System Dynamics (LMSD) research unit. His work focuses on system identification, digital twins, and nonlinear dynamics in mechanical systems. Co-promoter in projects like SAFOS_sbo (smart fiber optic sensors) and wind turbine gearbox analysis Expertise in drivetrain modeling, vibro-acoustic behavior, and condition monitoring Collaborates with iSi Health, KU Leuven's Institute for Physics-based Modeling for In Silico Health

• Artificial Intelligence
• Robotics
• Materials Science
• +۳ مورد دیگر

Dengpeng Huang is an Assistant Professor specializing in Artificial Intelligence and Robotics within the field of Elastomer Technology and Engineering . His work bridges computational modeling with advanced materials, focusing on applications in smart materials and mechanical systems. Research Interests: Development of AI-driven models for predicting elastomer properties Multiscale analysis of rubber composites Electromechanical coupling in dielectric elastomer actuators Meshfree methods for metal cutting and chip formation Ultra-precision polishing of optical surfaces Recent Trends: His 2024–2025 publications emphasize data-driven modeling of rubber's viscoelastic behavior, multiscale analysis of composites, and CNN-based approaches for material characterization. Earlier work (2014–2022) explores tool path optimization, beam modeling, and computational machining. Scientific Recognition: Holds an h-index of 5 according to Scopus citations, with recognition as an AI and robotics expert in the service industry. Advising & Collaboration: Collaborates with researchers like Anna Blume, Evgeny Karaseva, and Tim Bor on elastomer composites. Supervised at least one academic work, though specific students are not named in the provided data. Labs & Teams: Affiliated with simulation and robotics teams in the smart materials sector, likely within an advanced materials or mechanical engineering research group.

Philip Voglewedeمشاهده پروفایل

استاد

• Dynamics and Controls
• Robotics
• Prosthetics Design
• +۴ مورد دیگر

Philip Voglewede is a Professor and Associate Department Chair in the Department of Mechanical Engineering at Marquette University's College of Engineering. He directs the WEDE Lab (Dynamics and Controls Laboratory), where his research focuses on engineered motion systems and their applications in robotics, prosthetics, and industrial automation. Ph.D. in Mechanical Engineering from Georgia Institute of Technology (2004) M.S. in Mechanical Engineering from University of Michigan (1996) B.S. in Mechanical Engineering from University of Notre Dame (1994) Dr. Voglewede's research spans dynamics and controls, robotics, active lower limb prostheses, industrial automation, and mechanism analysis and synthesis. His work has significant applications in rehabilitation engineering, particularly in developing advanced prosthetic devices that mimic natural human gait. The WEDE Lab investigates motion systems including robotic manipulators and custom-designed mechanisms for various applications. His recent publications demonstrate a strong trend toward predictive modeling of human gait, sensitivity analysis of mechanical systems, and advanced control systems for prosthetics. His research increasingly integrates uncertainty quantification methods like polynomial chaos theory with biomechanical modeling to create more robust and adaptive systems. The interdisciplinary nature of his work bridges mechanical engineering, robotics, and rehabilitation science. Dr. Voglewede has secured substantial research funding from diverse sources including DOD, NIH, NSF, and industry partners like Eaton and Joy Global. His grants focus on areas such as intelligent monitoring systems, prosthetic device development, and advanced robotics for industrial applications. He has advised numerous graduate students through their MS and PhD programs, with many going on to careers at major companies including GE Healthcare, Medtronic, and Komatsu Mining. His lab maintains several engineered motion systems including industrial robots and custom-designed mechanisms for research in motion control and prosthetics development.

Carsten Schulzمشاهده پروفایل

استاد

• Mechatronic Product Development
• Multibody Simulation
• Machine Dynamics
• +۴ مورد دیگر

Carsten Schulz serves as Professor for Mechatronic Product Development at the Faculty of Mechanical Engineering, Regensburg University of Applied Sciences (OTH Regensburg). He also acts as study advisor for the Bachelor's program in Digital Engineering in Mechanical Engineering, maintaining office hours on Thursdays from 3:00 PM to 4:00 PM. His academic work integrates mechanical engineering principles with digital technologies for advanced product development and system analysis. Professor Schulz's research focuses on Multibody Simulation , Mechatronic Drive Systems , and Fatigue Strength Analysis , bridging theoretical modeling with practical industrial applications. His work demonstrates particular expertise in: Modeling and simulation of complex mechanical systems Development of methodologies for holistic system analysis Application of digital technologies to enhance product lifecycle management Integration of additive manufacturing processes with traditional mechanical design Predictive maintenance through digital twin technology Analysis of Professor Schulz's publication record reveals a consistent research trajectory focused on digital transformation in mechanical engineering. His recent work demonstrates increasing integration of digital twin technology across mechanical systems, showing how virtual models enhance physical system performance and longevity. A notable trend is the convergence of multibody dynamics with fatigue analysis and predictive maintenance strategies, particularly in conveyor systems and drive train applications. His research also shows growing emphasis on additive manufacturing applications and their impact on mechanical component design and performance. Professor Schulz actively supervises student research, offering thesis topics in holistic design of mechatronic drive systems, product development using CAx processes, model reduction techniques, and fatigue strength analysis. His laboratory, LaboRe (Laboratory multi-body simulation), provides students with hands-on experience in advanced simulation techniques. Through his teaching in courses like Modeling and Simulation of Multibody Systems and Finite Element Method, he bridges theoretical knowledge with practical engineering applications, preparing students for challenges in modern mechanical engineering.

• Biomechanics
• Virtual Reality
• Motion Capture
• +۴ مورد دیگر

Georges Dumont is a Professor at École Normale Supérieure de Rennes, where he serves as Scientific Director of the Immersia virtual reality platform and Project Manager of Immerstar. He previously held leadership positions as Scientific Manager of the MEDIA and INTERACTION department at IRISA-UMR6074 (2010-2016) and Director of the Mechatronics Department at ENS Rennes (2012-2016). Professor Dumont's research spans biomechanics, virtual reality, motion capture technologies, and human-computer interaction. His work bridges theoretical developments with practical applications in ergonomics, sports science, and virtual training environments. He has developed significant expertise in motion analysis, force estimation, and biomechanical modeling, with applications ranging from workplace design to athletic performance optimization. Analysis of his recent publications reveals a strong focus on applying virtual reality and motion capture technologies to solve real-world problems in ergonomics and sports biomechanics. His research demonstrates consistent productivity across multiple disciplines, with particular emphasis on developing computational methods for analyzing human movement and interactions with virtual environments. Professor Dumont's scientific contributions include: Development of methods for motion-based force and moment prediction Advancements in virtual reality applications for ergonomic assessment Biomechanical analysis of sports movements, particularly in diving Innovative approaches to muscle path modeling and biomechanical simulation His research program demonstrates strong continuity in applying computational methods to biomechanical problems, with recent work increasingly incorporating machine learning techniques. Professor Dumont maintains active collaborations across disciplines and institutions, contributing to the advancement of both theoretical understanding and practical applications in his fields of expertise. Professor Dumont leads the Immersia virtual reality platform, which provides state-of-the-art infrastructure for conducting research in human movement analysis and virtual environment interactions. His work with students and collaborators focuses on developing methods that translate biomechanical research into practical tools for workplace design, sports performance analysis, and rehabilitation engineering.