جستجوی استاد راهنمای دانشگاهی

Frederic Fol Leymarieمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Robotics
• +۶ مورد دیگر

Prof. Frederic Fol Leymarie is a Professor in the Department of Computing at Goldsmiths, University of London. He specializes in AI, robotics, and computer graphics, with a focus on creative systems and their applications in art and biosciences. His work includes developing robots capable of artistic skills, interactive platforms like FoldSynth for molecular visualization, and projects like Mutator VR. He co-leads the MSc in Computer Games & Entertainment and teaches advanced topics in graphics and game design. His research spans shape understanding, AI-driven art, and interdisciplinary collaborations with bioscience specialists. Education: PhD in Computer Science from Brown University (2003) Key Projects: Mutator VR (2016–2020): An artistic VR project FoldSynth: Interactive tool for visualizing molecular structures Bioblox: Educational game for protein docking Research Interests: AI creativity, human-robot interaction, computer vision, and art-technology interfaces Prof. Leymarie leads London Geometry , a consulting group applying geometric algorithms to solve complex problems. His work bridges computational methods with artistic and scientific domains, emphasizing interdisciplinary innovation.

• Autonomous Underwater Vehicles
• Machine Learning
• Marine Robotics
• +۲ مورد دیگر

Vibhav Bharti serves as a Research Fellow in Computer Science at Heriot-Watt University's School of Mathematical & Computer Sciences. His work focuses on bridging theoretical machine learning with practical marine robotics applications, contributing to UN Sustainable Development Goals through technological innovation. Research interests span Autonomous Underwater Vehicles , Machine Learning reliability , and Marine Robotics systems . Key contributions include developing deep reinforcement learning frameworks for AUV docking, creating the Stonefish platform for marine ML research, and advancing multi-beam echo-sounder object detection. His fingerprint reveals expertise in underwater vehicle pipelines, sensor data processing, and learning-based assessment systems. Recent publications demonstrate a clear trajectory toward real-world implementation of simulation-trained AI systems, with strong emphasis on safety-critical applications. Work spans 2017-2025 with consistent output in top robotics conferences including OCEANS and TAROS. Collaborations show extensive international network in marine technology, particularly with researchers in underwater perception and machine learning validation. Current projects focus on enhancing reliability of ML components in autonomous systems and improving image quality assessment through edge detection techniques.

• Surgical Robotics
• Minimal Access Surgical Technology
• Cyber-physical Systems
• +۱۰ مورد دیگر

George Mylonas is an Associate Professor in Robotics and Technology in Cancer at the Department of Surgery & Cancer, Faculty of Medicine, Imperial College London. He directs the HARMS Lab (Human-centred Automation, Robotics and Monitoring for Surgery) and is affiliated with the Hamlyn Centre, Artificial Intelligence Network, Cancer Technology Network, Human Behaviour and Experience Network, Institute of Global Health Innovation, and Robotics Forum. He holds a BEng in Mechatronics from the University of Sussex, and an MSc in Computing Science and a PhD in Medical Imaging and Surgical Robotics from Imperial College London. His research focuses on surgical robotics, minimal access surgical technology, cyber-physical systems, human-robot interfaces, eye-tracking, perceptual docking, and frugal innovation. He emphasizes human-centered approaches in automation and medical technology. George's work integrates clinical sciences, biomedical engineering, and artificial intelligence, with applications in surgical monitoring and innovation. His lab explores interdisciplinary solutions for healthcare challenges.

William Edward Hahnمشاهده پروفایل

دانشیار

• Compressed Sensing
• Sparse Modeling
• Deep Learning
• +۳ مورد دیگر

William Edward Hahn is an Associate Professor in the Department of Mathematics and Statistics at Florida Atlantic University (FAU), where he co-directs the Machine Perception and Cognitive Robotics Laboratory (MPCR) and the FAU AI Sandbox. His research bridges mathematical theory with practical AI applications across diverse domains including finance, healthcare, and robotics. Dr. Hahn's academic foundation: Ph.D. in Complex Systems, Florida Atlantic University (2016) B.S. in Physics and Mathematics, Guilford College (2008) His core research integrates: Compressed Sensing & Sparse Modeling : Developing efficient signal reconstruction algorithms with applications in medical imaging and data analysis. Deep Learning & Machine Learning : Creating neural network architectures for financial forecasting, drug discovery, and autonomous systems. Computer Vision & Computational Neuroscience : Modeling human perception through gait analysis and biomimetic systems. Analysis of his 2018-2022 publications reveals a strategic evolution from theoretical sparse coding to applied deep learning. Key trends include bio-inspired modular architectures for general learning, transformer networks for molecular binding prediction, and GANs for robotic telesurgery. His work consistently addresses real-world challenges in substance abuse monitoring, financial markets, and medical robotics through interdisciplinary approaches. As co-director of the MPCR Lab and FAU AI Sandbox, Dr. Hahn leads initiatives that merge cognitive science with machine perception, providing critical infrastructure for AI experimentation and education while advancing the frontiers of human-robot interaction and computational neuroscience.

François Bérardمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Real-Time Computer Vision
• 3D Interaction
• +۵ مورد دیگر

François Bérard is an Associate Professor at Grenoble INP - Ensimag , part of the LIG laboratory 's Computer-Human Interaction group. His research focuses on real-time computer vision for human-computer interaction, 3D interaction, and touch interaction latency. He holds a PhD from Joseph Fourier University and has held visiting roles at MIT Media Lab and Xerox PARC. Education: PhD in Computer Science (1995-1999), Joseph Fourier University DEA in Computer Science (1993-1994), Joseph Fourier University MST ESI (1991-1993), Joseph Fourier University Research Interests: His work spans interactive surfaces, augmented reality, and the sensory-motor basis of natural interaction. Notable projects include the 'Magic Table' and contributions to the SmartSpaces SIGGRAPH demo. Publications: Over 20 peer-reviewed articles since 1996, with recent focus on latency effects in touch interaction and handheld perspective-corrected displays. Key contributions address user performance under latency, 3D interaction techniques, and AR/VR applications. Awards: Honorable Mention at ACM CHI 2017, Best Demonstration at IEEE ISMAR 2018, and recognition for early work on facial tracking (PR00). Labs/Teams: Active in LIG's IIHM group and collaborates with teams at MIT and Grenoble INP on perceptual interfaces and interactive systems.

• Biomedical Engineering
• Gastroenterology
• Psychology
• +۱۰ مورد دیگر

Dr. Malik A is a Professor at King Saud University's College of Medicine, Department of Medicine. With an exceptionally diverse research portfolio spanning multiple medical and scientific disciplines, Dr. Malik maintains an active research program with numerous 2025 publications across biomedical engineering, gastroenterology, psychology, psychiatry, and other fields. Dr. Malik's research interests encompass a remarkably broad spectrum of medical and scientific inquiry, including Biomedical Engineering, Gastroenterology, Psychology, Psychiatry, Endocrinology, Hepatology, Genetics, Organ Transplantation, Visual Perception, Pharmacology, Nutrition Science, Biochemistry, and Pediatrics. This interdisciplinary approach reflects a commitment to addressing complex medical challenges through multiple lenses and collaborative efforts. Analysis of Dr. Malik's 2025 publications reveals a strong focus on both clinical applications and fundamental scientific inquiry. The research spans from molecular-level investigations of protein interactions and material science to large-scale clinical studies examining treatment efficacy, patient outcomes, and health disparities. Notably, several publications address critical issues in gastrointestinal disorders, trauma recovery models, and innovative diagnostic techniques in hepatology. Dr. Malik's collaborative research network appears extensive, with publications involving multiple institutions and international co-authors across diverse medical specialties. The publication record demonstrates consistent scholarly productivity with a particular emphasis on translational research that bridges laboratory findings with clinical applications.