جستجوی استاد راهنمای دانشگاهی

• Cognitive Neuroscience
• Functional Neuroimaging
• Brain Mapping
• +۳ مورد دیگر

Sabrina Pitzalis is an Associate Professor at the University of Rome 'Foro Italico', Department of Human Motor Sciences and Health. She serves as Delegate for Gender Budget and Head of the SACS (Student Counselling and Help Desk). Her research focuses on cognitive neuroscience, functional neuroimaging, and brain mapping, with specializations in neural mechanisms of perception, sensorimotor functions, and brain plasticity induced by motor activity. She leads projects like the 2019 study on neuromuscular electrical stimulation effects. Her work integrates neuroimaging techniques to explore topics such as anticipatory brain activity and motion perception. Pitzalis teaches courses in sport psychology, neuroscience, and pedagogy, emphasizing the interplay between cognitive and motor systems. Her research highlights neural adaptations to sensory and motor interventions, including multifocal contact lenses and exoskeleton-assisted rehabilitation. Research Themes: Neural basis of perceptual and sensorimotor functions Brain plasticity and motor learning Anticipatory neural processing during action preparation Integration of visual and motor signals in spatial navigation Recent Contributions: Her articles (2022–2025) reveal insights into how brain circuits process self-motion, adapt to sensory interventions, and modulate during complex cognitive-motor tasks. These studies use advanced neuroimaging and electrophysiological methods to map functional brain dynamics. Ongoing work explores neurocognitive trade-offs in dual-task scenarios and the role of parietal cortex in visuomotor integration. Teaching and Leadership: Pitzalis contributes to degree programs in Sports Sciences (L22), Preventive Motor Activities (LM67), and Sports Technology (LM68). She promotes interdisciplinary approaches, combining neuroscience with sport pedagogy. Her leadership roles emphasize institutional quality assurance and student support initiatives. Labs/Teams: Collaborates within university labs specializing in motor neuroscience and neuroimaging, contributing to projects on neural adaptation mechanisms and clinical applications in rehabilitation.

Aline Normoyleمشاهده پروفایل

استادیار

• Digital Humans
• Character Animation
• Video Games
• +۴ مورد دیگر

Aline Normoyle is an Assistant Professor of Computer Science at Bryn Mawr College, where she leads the MOVR (Motion Capture and Virtual Reality) lab. Her research focuses on character animation, video game design, and analyzing human motion from video. She holds a B.Sc. from McGill University, and a M.Sc. and Ph.D. from the University of Pennsylvania. Prior to academia, she worked as a software engineer for 10 years, specializing in networking, graphics, and behavioral modeling. Her work bridges computational methods with experimental approaches to study non-player characters, avatars, and game mechanics. Normoyle’s contributions include open-source tools for sign language analysis and VR experiments, and she actively collaborates across disciplines including linguistics and psychology. She has been recognized with the Best Student Presentation Award at the 2013 Symposium on Applied Perception. Her teaching spans foundational computer science courses and specialized topics in game programming and animation. Education: B.Sc. in Computer Science, McGill University (1999) M.Sc./Ph.D. in Computer Science, University of Pennsylvania (2015) Research Interests: Procedural character animation and behavior Motion capture and analysis techniques Immersive VR/AR applications Game-based experimental platforms Accessibility in digital human modeling Recent Work Trends: Normoyle’s recent publications explore gesture-based user identification, controller effects in AR games, and the role of hand motions in virtual communication. Her work emphasizes interdisciplinary approaches, combining AI with traditional animation techniques to create more expressive and interactive virtual characters. Awards: Best Student Presentation Award, Symposium on Applied Perception (2013) Advising & Grants: Normoyle advises students in animation, VR, and game design, requiring foundational coursework in computer graphics and systems programming. She has received support for her research through collaborations with institutions like Clemson University and New York University. Labs & Teams: Director of the MOVR lab at Bryn Mawr, focusing on motion capture, VR experiments, and open-source tools for sign language analysis.

• Attosecond X-ray Science
• Extreme Photonics
• Quantum Dynamics

Jens Biegert is ICREA Professor at ICFO (The Institute of Photonic Sciences) leading research in Attosecond X-ray Science, Extreme Photonics, and Quantum Dynamics. His group develops advanced technologies to investigate electron and nuclear dynamics in atoms, molecules, and solids using attosecond soft-X-ray pulses and coincidence imaging techniques. Major research themes include: Attosecond spectroscopy of condensed matter systems Machine learning applications in laser-induced electron diffraction Valleytronics and quantum control in 2D materials He coordinates multiple EU projects including ERC Advanced Grant 'TRANSFORMER', FET-OPEN 'OPTOlogic', and MSCA 'Smart-X'. Recent publications demonstrate breakthroughs in quantum optical characterization of high-harmonic generation and material phase transitions.

• Rehabilitation Biomechanics
• Neuromuscular Fatigue
• Dysfunctional Breathing
• +۵ مورد دیگر

Dr. Samantha Winter is a Reader in Rehabilitation Biomechanics at Loughborough University's College of Engineering, Design and Physical Sciences, affiliated with the National Centre for Sport and Exercise Medicine (NCSEM). Her work bridges clinical rehabilitation, sports performance, and evolutionary biomechanics, with a focus on dysfunctional breathing and neuromuscular fatigue. Education: First Class BSc in Sport and Exercise Sciences (University of Birmingham), MSc Kinesiology, Master's in Applied Statistics, PhD Kinesiology (Penn State University), Post-graduate Certificate in Teaching in Higher Education, BSc Mathematics (Open University) Her research explores the application of opto-electronic plethysmography (OEP) for diagnosing breathing disorders, complexity analysis in neuromuscular fatigue, and evolutionary ergonomics of hominin hand evolution. She leads externally funded projects on real-time OEP feedback systems and fatigue mechanisms. Recent publications highlight trends in Breathing Analysis , Neuromuscular Fatigue , and Evolutionary Ergonomics , utilizing advanced methodologies like time-series modeling, EMG, and motion capture. Key collaborations include studies on chronic ankle instability and prehistoric tool use efficiency. Scientific Recognition: Senior Fellow of the Higher Education Academy (SFHEA), 2019 She has influenced curriculum design and student support systems nationwide, with grants focused on breathing retraining and sports injury prevention. Her work intersects the Lifestyle for Health and Wellbeing and Sport Performance research groups.

Marinko Sarunicمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

• Event Cognition
• Human-Robot Interaction
• Visual Working Memory
• +۴ مورد دیگر

Frank Papenmeier is a Professor in the Department of Psychology at the University of Tübingen, within the Faculty of Science. His research focuses on event cognition, human-robot interaction, visual working memory, and visual attention. He coordinates the 'Coordination Cognitive Psychology and Research Methods' research group. His work explores how people perceive and interact with dynamic environments, including studies on event segmentation, cognitive offloading, and aesthetic judgments. He has contributed to over 100 peer-reviewed articles, with recent work addressing topics like the impact of framing on art perception and the role of AI in education. Papenmeier's research integrates experimental methods with interdisciplinary approaches, including collaborations on teleoperation systems and AI-based tutoring. He has presented at major conferences such as the European Society for Cognitive Psychology and the Psychonomic Society. His lab emphasizes methodological rigor, evidenced by contributions to replication databases and open science initiatives. Education: Not explicitly stated in the text, but his titles include Dr. rer. nat. (Doctor of Natural Sciences) and Diplom-Psychologe (Psychology Diploma). Research Interests: His primary areas include event cognition, human-robot interaction (e.g., helping behavior toward robots), visual working memory (e.g., spatial configuration processing), and cognitive offloading (e.g., impact on memory and performance). He also investigates aesthetic judgments and narrative comprehension through eye-tracking and experimental paradigms. Articles Trends: Recent work addresses applied topics like cookie consent interfaces, AI in education (e.g., R programming tutors), and perceptual effects in 3D cinema. His studies often bridge cognitive theory with real-world applications, such as usability design and social robotics. Labs/Teams: Leads the research group 'Coordination Cognitive Psychology and Research Methods' at the University of Tübingen. Collaborates with interdisciplinary teams on projects involving robotics, AI, and human-computer interaction.

Li Liمشاهده پروفایل

استاد

• Visual perception
• Visuomotor control
• Eye-hand coordination
• +۴ مورد دیگر

Li Li is a Professor of Neural Science and Psychology at NYU Shanghai and a Global Network Professor at NYU. Her research focuses on visual perception, visuomotor control, eye-hand coordination, and virtual reality applications. Dr. Li earned her educational degrees from prestigious institutions: 1999 Ph.D. in Cognitive Science from Brown University 1995 M.A. in Cognitive Psychology from Stony Brook University 1992 B.S. in Psychology from Peking University Dr. Li's research program investigates fundamental processes of visual perception and motor control. Her lab employs interdisciplinary approaches that integrate psychophysics, neuroscience, computer science, and engineering to examine how humans perceive visual information, control self-motion, and integrate perception with motor actions. A significant portion of her work explores how visual information guides navigation and goal-directed movements, with applications to understanding visuomotor control in both healthy individuals and those with neuromotor disorders. Her research demonstrates consistent innovation in experimental paradigms for studying heading perception, optic flow processing, and the integration of motion and form cues for self-motion perception. Dr. Li's publication record shows a clear trajectory of research advancing our understanding of visual-motor integration across multiple contexts including natural navigation, virtual environments, and sports performance. Her work bridges basic science with practical applications in rehabilitation, human-computer interaction, and virtual reality technologies. Dr. Li actively collaborates with researchers across multiple disciplines as evidenced by her co-authorship patterns. Her laboratory at NYU Shanghai provides a dynamic environment for investigating the neural and cognitive mechanisms underlying visual perception and motor control, with recent work extending into 2025.

George Dankoمشاهده پروفایل

استاد

• Mining Engineering
• Thermal Engineering
• Robotics in Mining
• +۴ مورد دیگر

George Danko is a Professor in the Department of Mining and Metallurgical Engineering at the University of Nevada, Reno (UNR), part of the Mackay School of Earth Sciences and Engineering. He holds a DSc from the Hungarian Academy of Sciences (2010) and has held academic positions since 1978, including roles at the University of Technology, Budapest and the University of Minnesota. His research focuses on thermal systems, robotics in mining, mine ventilation, and geothermal/nuclear waste management. Education: DSc (2010, Hungarian Academy of Sciences), Ph.D. (1985), Dr. Tech. (1976), and dual M.S. degrees in Applied Mathematics and Mechanical Engineering from Eotvos University and Budapest University of Technology. Research interests include robotics automation in mining, thermal-hydrologic modeling for nuclear waste repositories (e.g., Yucca Mountain), multiphase transport modeling, and mine ventilation systems. His work integrates advanced computational tools like MULTIFLUX and TOUGH2 for simulating subsurface processes. Publications highlight contributions to mine climate simulation, robotic sensor networks, and nuclear waste thermal management. His 34 peer-reviewed papers and 10 patents (e.g., coordinated joint motion control systems, multiphase transport models) reflect interdisciplinary innovation. Grants totaling $7M+ support his research in DOE-funded projects and industry collaborations like Newmont Mining. Honors include Fulbright Visiting Professorship (2008) and Sabbatical Awards (UNR). He teaches advanced mining equipment design, robotics, and subsurface transport modeling courses.

Corentin Coulaisمشاهده پروفایل

استاد

• Mechanical Metamaterials
• Active Matter
• Topological Materials
• +۵ مورد دیگر

Dr. Corentin Coulais is a Professor in the Department of Physics at the University of Amsterdam's Faculty of Science. He leads the Machine Materials Laboratory, focusing on cutting-edge research at the intersection of physics, materials science, and engineering. His work explores the fundamental mechanics of structured materials and their applications in robotics, sensing, and programmable matter. Dr. Coulais's research interests center on mechanical metamaterials, active matter, and topological materials. His laboratory investigates how to design materials with unprecedented properties by leveraging mechanical instabilities, nonlinearity, and topology. His work spans from fundamental theoretical concepts to practical applications in soft robotics, shape-morphing structures, and energy absorption systems. The research combines experimental approaches with computational modeling and increasingly incorporates machine learning techniques for design optimization. His recent publications reveal a strong trend toward increasingly sophisticated control of material behavior through topological principles, active components, and learning algorithms. His work has evolved from basic mechanical metamaterials to systems incorporating non-reciprocity, active matter principles, and machine learning for design. The research spans fundamental physics of mechanical systems to practical applications in robotics and programmable matter. Dr. Coulais has established the Machine Materials Laboratory as a leading center for mechanical metamaterials research. His team develops innovative experimental setups and theoretical frameworks to explore the rich behavior of structured materials. The laboratory maintains strong connections with other research groups internationally and collaborates across disciplines including physics, engineering, and computer science.

• Medical Robotics
• Image-guided Surgery
• Teleoperation Systems
• +۳ مورد دیگر

Tim Salcudean is a Professor in the Department of Electrical & Computer Engineering and School of Biomedical Engineering at the University of British Columbia, holding the Charles A. Laszlo Chair in Biomedical Engineering. His research focuses on medical robotics, teleoperation systems, and image-guided interventions, with notable contributions to ultrasound technology, needle steering, and surgical robotics. He collaborates with clinicians to advance diagnostic and therapeutic methods, particularly in prostate cancer imaging and robot-assisted surgery. Key research themes include haptic interfaces, control systems for teleoperation, and biomedical device development. His work combines robotics, control theory, and medical imaging to enhance precision and safety in surgical procedures. Notable projects involve robotic systems for medical ultrasound and adaptive control strategies for stable teleoperation under time delays. Publications span over three decades, emphasizing medical robotics, image-guided interventions, and control systems. His research has been widely cited, reflecting significant impact in both engineering and healthcare fields. Current efforts aim to integrate artificial intelligence with medical imaging to improve cancer diagnosis and treatment planning.

Jun Morimotoمشاهده پروفایل

استاد

• Reinforcement Learning
• Humanoid Robotics
• Exoskeleton Robotics
• +۳ مورد دیگر

Jun Morimoto is a Professor and Head of the Department of Brain Robot Interface at ATR Computational Neuroscience Laboratories. He holds a Ph.D. in Information Science from the Nara Institute of Science and Technology (NAIST) and has held positions at Carnegie Mellon University and the Japan Science and Technology Agency (JST). His research focuses on reinforcement learning, humanoid robotics, exoskeleton systems, and brain-robot interfaces. He has led teams at RIKEN and contributed to projects such as the ICORP initiative. His work integrates neuroscience principles with robotics, emphasizing applications in assistive technologies and neurorehabilitation. Key contributions include developing exoskeleton control strategies, brain-computer interfaces, and adaptive humanoid robot systems. He has authored over 100 peer-reviewed papers, with recent work addressing EEG-based motor intent decoding and multi-site neuroimaging databases. His academic service includes organizing international conferences (e.g., Humanoid Robots, ICRA) and serving on program committees. He has also delivered invited talks on topics such as brain-controlled exoskeletons and stochastic optimal control in robotics.

Uri Maozمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroethics
• Volition and Decision-Making
• +۶ مورد دیگر

Dr. Uri Maoz is an Associate Professor at Chapman University, affiliated with the Crean College of Health and Behavioral Sciences, Schmid College of Science and Technology, and Fowler School of Engineering. His research bridges computational neuroscience, decision-making, and moral philosophy, focusing on volition and the neural underpinnings of conscious action. He holds visiting roles at UCLA (Department of Anesthesiology) and Caltech (Biology and Bioengineering). Educations: Bachelor of Science in Computer Science and General Humanistic Studies, The Hebrew University of Jerusalem Ph.D. in Neural Computation, The Hebrew University of Jerusalem Research Interests: Dr. Maoz investigates how consciousness influences voluntary actions through empirical methods (EEG, intracranial recordings) and theoretical models. He explores ethical and legal implications of neuroscience, particularly regarding free will and decision-making. His work integrates machine learning for real-time neural data analysis. Key Projects: Leading the COVID-Dynamic longitudinal study on pandemic-related behavioral and emotional changes. Developing computational models of volition and neural correlates of intention. Collaborating across disciplines to address neuroethical questions. Visiting Roles: Visiting Assistant Professor at UCLA’s Department of Anesthesiology Visiting Associate in Biology and Bioengineering at Caltech Labs/Teams: Active in Chapman’s Institute for Interdisciplinary Brain and Behavioral Sciences and collaborates with the Anderson School of Management at UCLA.

Mauricio de Campos Porathمشاهده پروفایل

استاد

• Coordinate Measuring Technology
• Quality Management
• Production Engineering
• +۷ مورد دیگر

Prof. Mauricio de Campos Porath is a Professor of Production Engineering and Measuring Technology at the Hamburg University of Applied Sciences (HAW Hamburg), Department of Mechanical Engineering and Production. He holds a Dr.-Ing. from RWTH Aachen University (2009), M.Sc. in Production Engineering from RWTH Aachen (2004), and B.Sc. in Mechanical Engineering from Universidade Federal de Santa Catarina (UFSC), Brazil (2002). His research focuses on precision metrology, including coordinate measuring technology, industrial computed tomography, and uncertainty analysis in manufacturing processes. Key roles include serving as Deputy Study Program Coordinator for the B.Eng. in Mechanical Engineering (Production Technology) at the Shanghai-Hamburg College (since 2024), Member of the Faculty Council (TI Faculty), and Reviewer for journals like Precision Engineering and Measurement Science and Technology. He has extensive industry experience, including roles at Carl Zeiss IMT GmbH and as a Measurement Engineer at CERTI Brazil. Research interests span advanced measurement techniques for industrial applications, robot calibration, and quality management. His work emphasizes bridging theoretical metrology with practical manufacturing challenges, particularly in additive manufacturing and shipbuilding assembly processes. Publications highlight contributions to calibration methodologies, uncertainty quantification, and precision measurement systems. He actively participates in international conferences and academic reform initiatives, reflecting his commitment to advancing technical education and industrial metrology standards.

• Control Engineering
• Automation
• Model Predictive Control
• +۵ مورد دیگر

Martin Steinberger is an Associate Professor at the Institute of Control and Automation (IRT) at Graz University of Technology (TU Graz). His work focuses on advanced control systems, networked control, model predictive control (MPC), and automation in manufacturing and autonomous systems. He leads research into real-time optimization, fault diagnosis, and safety-critical applications in industries like pharmaceuticals and automotive. Research interests include: Networked Control Systems Model-Based Control Autonomous Vehicle Trajectory Planning Process Automation Robotics and Industrial Automation His work bridges theoretical control engineering with practical applications in manufacturing lines, chemical processes, and autonomous driving. Recent studies emphasize digital real-time release testing for pharmaceuticals, universal control concepts for manufacturing systems, and safety-aware trajectory optimization for automated vehicles. His publications frequently address challenges in time-varying delays, packet loss mitigation, and robust observer design for nonlinear systems. Steinberger collaborates on EU-funded projects and regularly contributes to conferences like the International Workshop on Variable Structure Systems. His research often involves experimental validation, as seen in work with compact pharmaceutical manufacturing setups and small-scale autonomous vehicle testing platforms.