جست‌وجوی استاد و پژوهشگر

Weidong Zhuمشاهده پروفایل

استاد

• Vibration Analysis
• Mechanical Engineering
• Acoustics
• +۳ مورد دیگر

Professor Weidong Zhu is a mechanical engineering professor at the University of Maryland, Baltimore County (UMBC), specializing in vibration analysis, acoustics, and nonlinear dynamics. His research focuses on applications such as high-speed elevator cable dynamics, wind turbine optimization, and automotive systems. He has developed innovative methodologies for vibration measurement using advanced laser Doppler vibrometry techniques. Zhu's work has been recognized with prestigious awards, including the Rayleigh Lecture from the American Society of Mechanical Engineers (2023) and the 2020 Board of Regents’ Faculty Award for Excellence in Scholarship. His research bridges theoretical analysis and practical engineering solutions, addressing challenges in structural health monitoring, energy harvesting, and dynamic system control. Key contributions include studies on rotating machinery dynamics, nonlinear energy sinks, and the integration of machine learning for control systems. His methodologies enhance the understanding and mitigation of vibrations in critical infrastructure, such as wind turbines and tidal energy converters.

William Melekمشاهده پروفایل

استاد

• Artificial Intelligence
• Intelligent Control
• Mechatronics
• +۱۱ مورد دیگر

William Melek is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He serves as Director of the Laboratory of Computational Intelligence and Automation and RoboHub. His research focuses on intelligent systems, modular robotics, autonomous vehicles, and bioinformatics. He holds a B.A.Sc. in Electrical & Computer Engineering (Zagazig University, 1994), M.Sc. and Ph.D. in Mechanical Engineering (University of Toronto, 1998/2002), and a Post-Doctorate in Computer Science (Ryerson University, 2004). Education: Bachelor's: B.A.Sc in Electrical & Computer Engineering, Zagazig University (1994) Master's: Mechanical Engineering, University of Toronto (1998) Doctorate: Mechanical Engineering, University of Toronto (2002) Post-Doctorate: Computer Science, Ryerson University (2004) His research interests span artificial intelligence, intelligent control, mechatronics, automotive design, and computational intelligence. Recent work includes autonomous vehicle navigation, predictive maintenance in manufacturing, and bioinformatics-driven clinical decision support systems. He teaches courses such as ME 360 (Control Systems), ME 780 (Mechatronics), and MTE 100 (Intro to Mechatronics). Articles from 2023–2025 highlight advancements in autonomous driving decision-making, modular robotics, and 5G-enabled teleoperation systems. His lab develops algorithms for urban autonomous systems and industrial automation. He currently oversees graduate student applications in mechatronics and robotics. Labs/Teams: Laboratory of Computational Intelligence and Automation, RoboHub.

Hadrien Courtecuisseمشاهده پروفایل

پژوهشگر

• Medical Robotics
• Real-Time Simulations
• Finite Element Methods
• +۳ مورد دیگر

Dr. Hadrien Courtecuisse is a Researcher (Chargé de Recherche) at CNRS, affiliated with the AVR/ICube team in Strasbourg since 2013. He holds a Ph.D. in Computer Science from Inria (2011), specializing in parallel architectures for medical simulations. His postdoctoral work at Cardiff University (2012) focused on biomechanical modeling of soft tissues. He later contributed to the Institut Hospitalo-Universitaire (IHU) as a research engineer. His expertise spans sparse linear algebra, real-time simulations, GPU computing, and medical robotics, particularly in surgical training systems and robotic control using inverse finite element models. Education: Ph.D., SHAMAN Team, Inria (2011) Postdoctoral Research, IMAM, Cardiff University (2012) Research Interests: Courtecuisse’s work emphasizes real-time computational methods for medical applications, including deformable object simulation, haptic feedback, and robotic assistance. He develops algorithms for contact response, topological changes, and parallel computing to enhance surgical training and robotic precision. His contributions address challenges in needle insertion, soft tissue interaction, and real-time error control in surgical simulations. Awards & Recognition: No specific scientific awards mentioned. Key Projects: MIMESIS Project (Inria): Focuses on medical robotics and real-time simulation for therapy planning. SOFA-FrameWork: Contributed to open-source simulation software for deformable objects and haptics. Calipso: Image editing via physics-based CAD models. Labs & Teams: Active in the AVR/ICube team at CNRS, collaborating with Inria and international institutions like Cardiff University.

• Robotics
• Automation Technology
• Mechatronic System Design
• +۳ مورد دیگر

Prof. Dr.-Ing. Tobias Bruckmann holds the Chair of Mechatronics at the University of Duisburg-Essen . His research focuses on robotics , particularly cable-driven parallel robots with applications in logistics , construction , and space systems . He is also involved in automation technology and human-machine interfaces . Key Scientific Activities : Organized multiple international conferences (e.g., CableCon 2019, IFToMM DA-CH 2020) and served as Associate Editor for IEEE robotics conferences. Research Projects : Led EU-funded CableBOT (logistics), DFG projects SEGESTA and ARTIST , and contributed to FAROMIR (home robotics). Recent Publications (2025-2023): Explored cable force calculations, automation in construction, human-robot collaboration, and space robot suspension systems. Collaborations : Worked with institutions in Germany (Fraunhofer IPA, TU Delft), France (INRIA), China (The Chinese University of Hong Kong), and Poland. Email: tobias.bruckmann@uni-due.de

• Biomedical Engineering
• Electrical and Electronic Engineering
• Medical Physiology
• +۶ مورد دیگر

James Avery is a Lecturer in Robotics at the University of Leeds and an Honorary Lecturer at the Hamlyn Centre, Department of Surgery & Cancer, Imperial College London . His academic journey began with an MEng in Acoustical Engineering from the University of Southampton and a PhD in Biomedical Engineering from University College London (2015). He has held roles including EPSRC Doctoral Research Fellow and Imperial College Research Fellow (2020–2024). Research Interests span Electrical Impedance Tomography (EIT) , Surgical Robotics , Soft Sensors , Implantable/Wearable Devices , and Open-Source Biomedical Solutions . His work emphasizes translating engineering innovations into clinical practice, especially in minimally invasive surgery and non-invasive diagnostics. Publications focus on advancing medical robotics, EIT applications in neurology and surgery, and sensor technologies for gastrointestinal monitoring. Notable contributions include inflatable surgical robots, wearable gut sensors, and EIT-based tissue palpation systems. Awards : Imperial College Research Fellowship (2020) Grants & Advising : His research has been supported by the NIHR Imperial Biomedical Research Centre. He advises on open-source hardware development and has contributed to 3D-printed patient models for surgical training. Labs/Teams : Active in the Hamlyn Centre and collaborates with the Neurophysiology lab at UCL. His work bridges engineering and clinical practice through interdisciplinary partnerships.

Jiajun Xuمشاهده پروفایل

پژوهشگر

• Agricultural Engineering
• Robotics
• Machine Vision
• +۴ مورد دیگر

Jiajun Xu is a Research Associate in the Department of Biosystems and Agricultural Engineering (BAE) at Michigan State University's College of Engineering. His work focuses on advancing agricultural automation through machine vision systems, robotics, and path planning algorithms. Key areas of expertise include automated crop sorting, weed detection systems, and the development of cable-driven parallel robots for precision agriculture. His research integrates mechanical engineering principles with cutting-edge computer vision technologies, aiming to enhance efficiency in agricultural post-harvest processes and autonomous farming operations. Notable contributions include the OpenWeedGUI platform for weed imaging and the design of LiDAR-based systems for real-time crop quality assessment. Publications highlight trends in sensor integration, path optimization for mobile robots, and cross-season weed detection adaptations. Collaborative projects emphasize practical applications in agricultural automation, with a focus on open-source tools and industry-relevant solutions. Awards and grants are not explicitly mentioned in available texts, though his work indicates strong engagement with both academic and applied research in biosystems engineering.

Alexander Verlمشاهده پروفایل

استاد

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

Prof. Dr.-Ing. Alexander Verl is a leading academic at the University of Stuttgart , serving as Principal Investigator at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) . His work bridges control engineering , industrial robotics , and digital twin technologies to enhance precision in manufacturing systems. Research Interests : Improving positioning accuracy of industrial robots through transmission error modeling and compliance compensation. Developing adaptive preload control mechanisms for cable-driven parallel robots and rack-and-pinion systems. Advancing IT/OT convergence via Time-Sensitive Networking (TSN) and cloud-edge integration. Creating digital twin platforms for real-time simulation and quality monitoring in CNC machining. Exploring deep learning applications for perception of deformable linear objects in automation. Recent Work Trends show expertise in: smart manufacturing , Industry 4.0 , and data-driven control systems . Publications emphasize practical validation through industrial testbeds (e.g., KUKA KR210–2 robotics, CNC machine simulations) and theoretical contributions to elastokinematic models and nonlinear dynamics . Advising & Grants : Collaborates extensively with researchers like Armin Lechler and Michael Neubauer. Projects funded through academic-industry partnerships in automotive production, precision engineering, and Gaia-X-based data ecosystems.

Arunabha Majumderمشاهده پروفایل

پژوهشگر

• Mechatronics
• Robotics
• Soft Robotics
• +۶ مورد دیگر

Arunabha Majumder is a PhD Fellow at the Department of Materials and Production, under The Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on mechatronics, robotics, and smart materials, with a particular emphasis on soft robotics, exoskeletons, and neural network-based control systems. Education: M.Tech in Mechatronics (2022) from Academy of Scientific and Innovative Research, India; B.E in Mechanical Engineering (2019) from Siddaganga Institute of Technology, India. External Position: Researcher at CSIR - Central Mechanical Engineering Research Institute (2021-2022). His work spans wearable device technologies, soft robots, bio-inspired actuators, and computational mechanics. Key technical areas include: Pneumatic Artificial Muscles Position Control Algorithms Variable Stiffness Actuators Shape Memory Alloys Gain Scheduling in Control Systems Parallel Robot Design His publications between 2019-2024 demonstrate interdisciplinary research at the intersection of robotics, materials science, and neural networks. Collaborations include researchers in robotics and mechanics across India and Denmark.

Özkan Bebekمشاهده پروفایل

دانشیار

• Medical Robotics
• Mechatronics
• Biomedical Measurement
• +۴ مورد دیگر

Özkan Bebek is an Associate Professor in the Faculty of Engineering at Ozyegin University, specializing in Medical Robotics and Mechatronics. He holds a Ph.D. in Systems and Control Engineering from Case Western Reserve University (2008), an M.S. in Mechatronics from Sabanci University (2003), and a B.S. in Mechanical Engineering from Middle East Technical University (2001). Ph.D.: Systems and Control Engineering, Case Western Reserve University (2008) M.S.: Mechatronics, Sabanci University (2003) B.S.: Mechanical Engineering, Middle East Technical University (2001) His research focuses on medical robotics , mechatronics , biomedical measurement , and haptic systems . Recent publications highlight advancements in exoskeleton design, 3D printing optimization, and soft-landing actuation systems. He has directed the Ozyegin University Robotics Laboratory , contributing to innovations in robotic-assisted surgery and wearable technologies. Notable scientific achievements include the Outstanding Graduate Student Research Poster at Research ShowCASE 2005. He has mentored students in projects spanning robotic biopsies, exoskeleton locomotion control, and intelligent actuator systems.

• Robotics
• Aerospace Engineering
• Mechanics and Mechatronics
• +۳ مورد دیگر

Professor Tomoyuki Miyashita is a distinguished faculty member at Waseda University's Faculty of Science and Engineering, specializing in Mechanical Engineering. With a career spanning over three decades, he has established himself as a leading researcher in robotics, aerospace engineering, and mechanics and mechatronics. His academic journey began at Waseda University where he earned both his undergraduate and graduate degrees in Mechanical Engineering before embarking on his professional career. Dr. Miyashita's research interests span a remarkably diverse range of topics including robotics, medical systems, aerospace engineering, and design engineering. His work bridges theoretical foundations with practical applications, particularly evident in his numerous publications on surgical robotics, space structures, and intelligent mechanical systems. His research group has produced significant contributions in areas such as lunar rover mobility, medical robotics for laparoscopic surgery, and deployable space structures. His publication record demonstrates consistent high-impact research across multiple disciplines. Analyzing his recent works reveals a strong focus on robotic systems with applications spanning medical procedures, space exploration, and industrial automation. His research shows particular strength in optimization techniques applied to mechanical systems, haptic interfaces, and deployable structures. The interdisciplinary nature of his work is evident in collaborations across engineering, medical, and aerospace domains. IEEE ISATP2003 Best Paper Award (2003.07) JSCES Encouragement (2003.05) Professor Miyashita has mentored numerous students who have become co-authors on his publications, indicating an active research group with strong student involvement. His work has attracted significant research funding, particularly in the areas of space structures and medical robotics, though specific grant details are not provided in the current documentation. His laboratory appears to maintain strong connections with industry partners and international research institutions, facilitating collaborative projects across multiple domains of engineering.

Hamid D. Taghiradمشاهده پروفایل

استاد

• Robust Control
• Nonlinear Control
• Medical Robotics
• +۵ مورد دیگر

Hamid D. Taghirad is Professor and Director of the Advanced Robotics and Automated Systems (ARAS) laboratory in the Department of Systems and Control, Faculty of Electrical Engineering at K. N. Toosi University of Technology, Tehran, Iran. He concurrently serves as Visiting Professor at the University of Alberta. A senior IEEE member, he holds editorial roles in four robotics journals and has published 6 books and over 300 papers. Education: Ph.D. Electrical Engineering (McGill University, 1997) M.Sc. Mechanical Engineering - Mechatronics (McGill University, 1993) B.Sc. Mechanical Engineering (Sharif University of Technology, 1989) Research interests span: Robust/Nonlinear Control Systems Medical Robotics & Surgical Training Cable-Driven & Parallel Manipulators AI/VR for Medical Applications Industrial Automation & Inspection Robotics His ARAS lab developed the Kamalolmol® cable robot for artistic applications and commercial inspection tools. He received numerous awards including: Best Teaching Professor (2010, 2013, 2016) Research Award for Published Books (2014) PBEEE Quebec Visiting Scientist Award (2005) Prestigious McGill fellowships (Top 5% university-wide) He secured 15+ industrial grants (~$2M total) for projects like: Haptic eye surgery trainer ($255K) Pipeline inspection robots ($310K) Driverless car perception ($175K) Automatic casting systems ($320K) and has supervised ~200 graduate theses. He directs the ARAS lab focusing on cable robots, medical robotics, and industrial automation, with projects ranging from driverless vehicles to surgical training systems.