جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Ir. Herman van der Kooij is a leading academic in Biomechatronics and Rehabilitation Technology , affiliated with the University of Twente (0.8 FTE) and Delft University of Technology (0.2 FTE). He chairs the Biomechatronics group at UT and has made groundbreaking contributions to wearable robotics for medical and industrial applications. His research focuses on human balance control , neuromechanical modeling , and exoskeleton-assisted mobility . He develops technologies like the LOPES gait rehabilitation robot and the Mindwalker exoskeleton , combining experimental and computational approaches to advance wearable robotics. His work spans soft robotics , real-time EMG-driven control , and low-cost sensor integration . Van der Kooij has published over 170 peer-reviewed works and received prestigious Dutch VIDI and VICI grants . He leads national programs in Wearable Robotics and 4TU Soft Robotics , and serves as associate editor for IEEE journals. He founded two specialized labs: the Rehabilitation Robotics Laboratory (with Roessingh Research and Development) and the Virtual Reality Human Performance Lab , which integrates robotics, motion capture, and VR for testing. He emphasizes active learning in courses like Biorobotics and Biomechatronics , encouraging students to learn through hands-on projects and mistakes. His work also explores non-medical applications of exoskeletons, including industrial ergonomics and entertainment technology .

• Human balance
• Human motor control
• Adaptation and learning
• +۸ مورد دیگر

Chevaleyre Yann is a Professor of Computer Science at LAMSADE, Paris-Dauphine PSL University, where he has been working since 2017. Previously, he served as Professor of Computer Science at Paris-Nord University from 2009 to 2017 and as Director of the "data science" team at the LIPN laboratory. His academic journey includes a Lecturer position at LAMSADE, Paris-Dauphine University from 2002 to 2009, a Habilitation thesis at Paris-Dauphine University in 2009, and a Doctorate at Pierre and Marie Curie University under the supervision of Jean-Daniel Zucker from 1998 to 2001. Professor Chevaleyre's research spans multiple areas within artificial intelligence and computer science, with particular expertise in multi-agent systems, computational social choice, and machine learning. His work on preference modeling, voting theory, and resource allocation has significantly contributed to the field of computational social choice. More recently, his research has expanded into adversarial machine learning, robust classification, and generative models, reflecting the evolving landscape of AI research. His publication record demonstrates consistent contributions across multiple domains, with recent work focusing on precision-recall optimization in generative models, the role of randomization in adversarial robustness, and novel approaches to graphical bilinear bandits. His research shows a clear trajectory from foundational work in multi-agent systems toward more contemporary challenges in machine learning security and evaluation. Professor Chevaleyre has maintained active collaborations with researchers across France and internationally, evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in areas ranging from robotics to bioinformatics.

• Artificial Intelligence
• Multi-Agent Systems
• Computational Social Choice
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Vinicius Silva is an Assistant Professor with dual appointments at the University of Minho (Department of Industrial Electronics, School of Engineering) and the Polytechnic Institute of Cávado and Ave (Department of Technologies, School of Technology). He also serves as a Research Engineer at the International Iberian Nanotechnology Laboratory since January 2024, bringing his expertise in robotics and educational technology to this prominent research institution. Dr. Silva's research focuses on the intersection of robotics, human-computer interaction, and special education. His primary areas of investigation include: Human-robot interaction for autism therapy Emotion recognition systems for children with special needs Development of assistive technologies and educational applications Gesture recognition and action recognition systems Playware technology for emotional learning Engineering education methodologies His publication trends over the past decade show a strong emphasis on robotics applications for children with Autism Spectrum Disorder, with numerous studies examining how humanoid robots can facilitate social communication and emotional recognition. His 2023-2024 output includes significant work on customizable robotic exoskeletons, machine learning for educational prediction, and the effectiveness of educational technology in engineering contexts. Dr. Silva has established recognition in his field through peer review activities for journals including Computers in Biology and Medicine, Information Processing and Management, and Research in Autism Spectrum Disorders, demonstrating his standing within the academic community. His research is conducted through the Robotica-Autismo Research Group, which develops and tests innovative technologies to support children with autism in educational and therapeutic settings. The group's work spans web applications for emotion learning, serious games for emotional recognition, robotic systems for social interaction, and engineering education tools, reflecting a comprehensive approach to assistive technology development.

• Human-Robot Interaction
• Autism Spectrum Disorder Therapy
• Emotion Recognition Systems
• +۳ مورد دیگر

Nicolas Vignais is a Professor at the University of Rennes 2's Laboratory for Movement, Sport, and Health (M2S) and holds a concurrent position as an Associate Professor at the University of Paris-Saclay's Faculty of Sport Sciences (CIAMS Laboratory). His academic trajectory includes prior roles as an Assistant Professor at the University of Technology of Belfort-Montbéliard and a PostDoc at McMaster University. He earned his doctorate in Biomechanics from the University of Rennes 2. His research integrates biomechanics , physical ergonomics , and sports science , with emphases on: Human motion analysis using inertial sensors and VR Musculoskeletal modeling for exoskeleton control Ergonomic interventions in healthcare/industrial settings Sports performance quantification via instrumented wearables Recent publications demonstrate prolific output in human-robot interaction (15+ exoskeleton studies), biomechanical sensing (novel force/EMG methods), and applied ergonomics (hospital/industrial validation). Work consistently intersects engineering, physiology, and computational modeling. He leads the M2S Laboratory, focusing on movement innovation across sports, rehabilitation, and occupational domains. No awards or student supervision details are documented in available sources.

• Biomechanics
• Physical Ergonomics
• Human Motion Analysis
• +۵ مورد دیگر

Jorge Isaac Chairez-Oria is an Associate Professor in the Department of Biomedical Engineering at Tecnológico de Monterrey's School of Engineering, Campus Guadalajara. He maintains an active research program bridging biomedical engineering, neural networks, and robotic control systems with significant contributions to rehabilitation technology and sustainable manufacturing. His research focuses on neural network applications for system identification and control , particularly in constrained dynamical systems. His work spans medical rehabilitation robotics (including exoskeletons and orthotic devices), bioprinting and tissue engineering , and sustainable environmental technologies utilizing neural network approaches. Recent publications demonstrate strong interdisciplinary work connecting engineering principles with biological and medical applications. Analysis of his 2024-2025 publications reveals consistent focus on barrier Lyapunov functions, constrained state systems, and neural network identification methods applied across diverse domains from wastewater treatment to surgical robotics. His work shows particular strength in translating theoretical control concepts into practical biomedical applications. Scientific Recognition: Mexican Researcher Certification - Level 2 Dr. Chairez-Oria teaches courses in Biofluid Mechanics, Clinical Engineering, and Bioinstrumentation Systems design, integrating his research expertise into the classroom. His work aligns with multiple UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation, and Clean Water and Sanitation.

• Biomedical Engineering
• Neural Networks
• Robotic Control Systems
• +۴ مورد دیگر

Rita Quetziquel Fuentes Aguilar is a Researcher at the National School of Sciences and Engineering of Tecnológico de Monterrey, where she leads the Institute of Advanced Materials for Sustainable Manufacturing. She specializes in biomedical engineering applications, from the design of new medical devices to control implementation. Her work spans multiple disciplines including artificial intelligence, robotics, and biomedical engineering. Dr. Fuentes-Aguilar's educational background includes: Bio-medical engineer from Instituto Politécnico Nacional, Ciudad de México Master of Science from Centro De Investigación Y De Estudios Avanzados Del IPN PhD in Automatic Control from Centro De Investigación Y De Estudios Avanzados Del IPN Her research focuses on mathematical model identification and control of objects deformation, machine learning for prediagnosis, and the development of solutions in the medical area. She has made significant contributions to rehabilitation robotics, medical device design, and AI-assisted biomedical engineering. Her work often bridges theoretical control systems with practical medical applications, resulting in numerous patents and publications. Dr. Fuentes-Aguilar's recent publications demonstrate a clear interdisciplinary trend combining control theory, artificial intelligence, and biomedical applications. Many focus on rehabilitation technologies, medical imaging, and adaptive control systems for medical devices, with increasing emphasis on sustainable manufacturing approaches. Her notable scientific achievements include: Mejor Cartel award from Encuentro de Ingeniería Biomédica (2011) Premio a la Excelencia Académica from Instituto Politécnico Nacional (2007) Mexican Researcher Certification - Level 1 Dr. Fuentes-Aguilar has secured research funding through projects sponsored by the National Council of Science and Technology and is a member of the National System of Researchers. She has one granted patent, seven national patent applications, three PCT applications, and three public copyright registries, reflecting her commitment to translating research into practical applications. She leads the Institute of Advanced Materials for Sustainable Manufacturing and is part of the Strategic Research Group "Enabling technologies for the development of advanced materials" in Guadalajara. Her work contributes to UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation and Infrastructure, and Life on Land.

• Biomedical Engineering
• Control Systems
• Artificial Intelligence
• +۶ مورد دیگر

Soumya Manna is a Principal Lecturer (Associate Professor) in Design Engineering at Canterbury Christ Church University (CCCU), serving as Course Director for Biomedical Engineering and School Lead for Teaching and Learning in the School of ETD. She joined CCCU in 2019 after three years as an Assistant Professor in overseas higher education institutions. Her educational background includes: Postgraduate Certificate in Academic Practice, Canterbury Christ Church University, United Kingdom PhD in Medical Robotics, Bournemouth University, United Kingdom Master of Technology in Mechatronics, Indian Institute of Engineering Science & Technology, India Bachelor of Technology in Electronics and Instrumentation, West Bengal University of Technology, India Dr. Manna's research centers on innovative medical device design, with a focus on wearable exoskeletons for rehabilitation, sensor-based gait analysis, telehealth solutions, and IoT applications in biomedicine. Her interdisciplinary work has led to collaborations on exoskeleton development, tele-neurorehabilitation portals, and electrotherapy tools, contributing significantly to the field of biomedical engineering. She has been recognized with the Senior Fellowship of the Higher Education Academy (UK) for her contributions to engineering education and pedagogical research. Senior Fellow of the Higher Education Academy (UK) As a Research Supervisor, Dr. Manna has mentored students and contributed to over 40 research publications. She actively serves the academic community as a guest editor, reviewer, and in quality assurance roles including course assessor and validation expert for UK and international higher education institutions. Additionally, she is a STEM ambassador, having participated in over 50 STEM activities to promote engineering education.

• Biomedical Engineering
• Medical Robotics
• Rehabilitation Engineering
• +۵ مورد دیگر

Erkan Kaplanoglu is a Professor in the Engineering Management and Technology Department at the College of Engineering and Computer Science, University of Tennessee at Chattanooga (UTC). He serves as an Associate Editor for the IEEE Transactions on Neural Systems & Rehabilitation Engineering and founded the Biomechatronics & Assistive Technology Lab (BioAstLab) in 2019. His educational background includes: Bachelor's degree from Marmara University Electric Edu Department (1996) M.Sc. from Marmara University, Institute for Graduate Studies in Pure and Applied Sciences, Computer-Control Department (2000) Ph.D. from Marmara University, Institute for Graduate Studies in Pure and Applied Sciences, Computer-Control Department (2006) Visiting Research Assistant Professor at Vanderbilt University Department of Mechanical Engineering (2011-2012) Research focuses on Biomechatronics Systems with specialization in EMG and EEG controlled Prosthesis/Orthosis and Wearable Rehabilitation Robotics . BioAstLab facilitates cross-institutional collaborations with biomedical departments for developing assistive rehabilitation technologies. Recent publications (2020-2024) demonstrate consistent innovation in rehabilitation robotics, featuring data-driven predictive control methods for hand/finger rehabilitation devices and orthotic systems. Key trends include EMG/EEG signal integration, adaptive compliance control, and subspace identification techniques applied to continuum robots and pneumatic actuators. BioAstLab drives collaborative research with medical departments at partner institutions, focusing on translating biomechatronic systems into clinical rehabilitation applications through wearable robotics and neural control interfaces.

• Biomechatronics
• Rehabilitation Robotics
• Prosthetics
• +۳ مورد دیگر