جستجوی استاد راهنمای دانشگاهی

• Medical Robotics
• Surgical Robotics
• Continuum Robots
• +۴ مورد دیگر

Dr. Leo Wu is a Research Fellow at Queensland University of Technology (QUT), affiliated with the Faculty of Engineering, School of Mechanical, Medical and Process Engineering. His research focuses on medical robotics, particularly in the development of surgical robotic systems for minimally invasive procedures. Dr. Wu's research interests span Medical Robotics , Surgical Robotics , Continuum Robots , Image-Guided Surgery , and Robot Kinematics . His work bridges engineering principles with clinical applications, developing innovative robotic solutions for complex surgical procedures. He has made significant contributions to the field of flexible and continuum robotics, with applications in nasopharyngeal biopsy, knee arthroscopy, and other minimally invasive procedures. Analysis of Dr. Wu's publications reveals a strong focus on practical robotic solutions for surgical applications. His work consistently addresses challenges in medical robotics including dexterity, precision, and integration with imaging technologies. The research spans fundamental robotics theory (kinematics, calibration) to applied medical devices, demonstrating both theoretical depth and clinical relevance. Dr. Wu has collaborated extensively with researchers at QUT and internationally, particularly with Professor Hongliang Ren, Professor Jonathan Roberts, and Professor Ross Crawford. His collaborative approach has resulted in numerous high-impact publications in IEEE transactions and other leading robotics and medical engineering journals. His laboratory work focuses on developing novel robotic mechanisms, particularly continuum and concentric tube robots, for surgical applications. These systems are designed to navigate complex anatomical pathways while providing surgeons with enhanced precision and control during minimally invasive procedures.

• Cyber-physical Systems Security
• Attack and Fault Detection
• Robust Control
• +۴ مورد دیگر

Dr. Hunmin Kim serves as Assistant Professor in the Department of Electrical and Computer Engineering at Mercer University's School of Engineering, specializing in security and operational resilience of cyber-physical systems with applications in autonomous vehicles, UAVs, and smart grids. His educational background includes: PhD in Electrical Engineering from Pennsylvania State University (2018) BSE in Mechanical Engineering from Pusan National University (2012) Dr. Kim's research centers on developing attack/fault detection mechanisms, robust control frameworks, and path planning algorithms for cyber-physical systems operating in dynamic environments. His work addresses critical security vulnerabilities and coordination challenges in multi-agent systems, with emphasis on verifiable safety guarantees for autonomous operations. Analysis of his 2023-2025 publications reveals strong thematic convergence in resilient control under adversarial conditions, motion planning in complex environments, and assistive technology applications. His work consistently bridges theoretical control systems with practical implementations in autonomous vehicles and UAVs, featuring increasing integration of machine learning techniques for adaptive security. Professional recognition includes: Nomination for 2024 Clayton R. Paul Teaching Excellence Award Dr. Kim actively mentors undergraduate researchers through Mercer's Bear Day events and honors projects, guiding student teams in developing gesture-based drone controls, EMG signal processors, and assistive navigation devices for visually impaired individuals. He maintains extensive peer review commitments across 45+ journals/conferences annually including IEEE Transactions on Automatic Control and Automatica. He contributes to the Collaborative Center for Computing at Mercer University and serves on the IEEE CSS Technology Conferences Editorial Review Board.

Cristian Linteمشاهده پروفایل

استاد

• Medical Imaging
• Image-guided Interventions
• Cardiac Biomechanics
• +۷ مورد دیگر

Cristian Linte is a Professor in the Department of Biomedical Engineering at the Kate Gleason College of Engineering at Rochester Institute of Technology (RIT), with additional appointment as Program Faculty in the School of Mathematics and Statistics. His academic journey began with a BASc in Mechanical and Materials Engineering at the University of Windsor in Canada, followed by MESc and Ph.D. degrees in Biomedical Engineering from the University of Western Ontario. Prior to joining RIT, he completed a post-doctoral fellowship at the Biomedical Imaging Resource at Mayo Clinic in Rochester, MN, which transitioned into a research-track academic appointment as Assistant Professor of Biomedical Engineering in 2014. BS, University of Windsor (Canada) MESc, University of Western Ontario (Canada) Ph.D., University of Western Ontario (Canada) Dr. Linte's research focuses on medical imaging, image-guided interventions, and cardiac biomechanics, with particular emphasis on developing computational tools for cardiac function assessment, ablation therapy monitoring, and surgical navigation. His work integrates advanced imaging techniques with computational modeling to create novel diagnostic and therapeutic approaches in cardiovascular medicine. He has pioneered methods for cardiac wave dynamics reconstruction, myocardial active stress visualization, and AI-based segmentation of cardiac structures from medical images. His publication record demonstrates consistent contributions to cardiac biomechanics and medical imaging, with recent work emphasizing deep learning applications in cardiac MRI analysis, surgical instrument segmentation, and abdominal aortic aneurysm assessment. The research trends show a progression from foundational work in medical visualization and image registration toward increasingly sophisticated computational approaches for cardiac function assessment and intervention guidance. IEEE Region 1 Award for Outstanding Teacher/Scientist in Biomedical Engineering (2018) Best Student Paper Award at MICCAI 2017 Workshop on Augmented Environments Multiple NSF-funded research projects in cardiac imaging and ablation therapy Dr. Linte actively mentors graduate students and has developed several interactive didactic modules for biomedical engineering education. His laboratory focuses on creating virtual platforms for surgical planning, cardiac function assessment, and medical image visualization. Current projects include developing non-invasive technology to assess cardiac tissue response to thermal energy for ablation therapy monitoring, funded by the National Science Foundation.