جست‌وجوی استاد و پژوهشگر

• Cognitive Neuroscience
• Visual Perception
• Neurorehabilitation
• +۳ مورد دیگر

Monika Harvey is a Professor of Neuropsychology and Cognitive Neuroscience at the University of Glasgow's School of Psychology & Neuroscience. She holds a BSc in Psychology from the University of Bielefeld (Germany) and a PhD in Neuropsychology from the University of St Andrews (UK). Her career includes appointments at the University of Bristol and the University of Glasgow. Her research focuses on cognitive neuroscience, particularly visual perception, hemispatial neglect, and cognitive aging. She employs techniques like EEG, non-invasive brain stimulation, virtual reality, and AI to study brain age prediction and attention mechanisms. Her work spans neurorehabilitation, aging-related cognitive changes, and clinical applications of neurotechnology. She has contributed to studies on stroke recovery, attention deficits, and driver behavior in autonomous vehicles. Her research emphasizes interdisciplinary approaches, bridging psychology, neuroscience, and technology. Publications highlight her expertise in spatial attention, neglect rehabilitation, and the neural basis of perception-action systems. She collaborates on grants exploring post-stroke insomnia, driver interfaces for autonomous cars, and neuroimaging techniques. Her lab integrates experimental and computational methods to advance understanding of brain function and disorders.

• Neuroscience
• Respiratory Physiology
• Neural Control of Breathing
• +۳ مورد دیگر

Dr. Leanne McKay is a Senior Lecturer at the University of Glasgow’s School of Psychology & Neuroscience, focusing on neural mechanisms governing breathing and respiratory control. Her research explores respiratory rhythm generation, chemosensitivity, and sleep-related breathing disorders such as sleep apnea. Key contributions include studies on opioid (fentanyl) effects on postnatal breathing patterns, hypoxia responses in brainstem regions, and genetic models of Rett syndrome. She holds grants from organizations like the Medical Research Scotland and Wellcome Trust, and has received fellowships from the Human Frontiers Science Programme and Fondation pour la Recherche Medicale. Professional memberships include the Physiological Society (elected co-convener of the Respiratory Physiology Special Interest Group) and the Society for Neuroscience. Her invited international presentations include speaking at the Xth Oxford Conference on Modeling and Control of Breathing (2006) and presenting at the C.N.R.S. respiratory rhythm seminar in France (2006). Research interests span developmental neurobiology, respiratory pharmacology, and translational neuroscience.

Jennifer MacRitchieمشاهده پروفایل

عضو هیئت علمی

• Music Technology
• Health and Wellbeing
• Music Education for Older Adults
• +۳ مورد دیگر

Dr. Jennifer MacRitchie is a Senior Research Fellow at the University of Sheffield's Department of Music, affiliated with the School of Languages, Arts and Societies. She holds an M.Eng in Electronics with Music from the University of Glasgow and a PhD in Science and Music Research from the same institution. Previously, she held roles at the Conservatorio della Svizzera Italiana and Western Sydney University as a Research Lecturer and Senior Research Fellow. Her research focuses on the intersection of music, technology, and health, particularly designing assistive technologies for older adults with dementia and their carers. Key collaborations include work with Prof. Renee Timmers, Prof. Luc de Witte, and Prof. Andrew McPherson. She co-supervises PhD students exploring topics like dementia-friendly musical interfaces and notation systems. Research interests span music performance neuroscience, technology-enhanced music education, and interdisciplinary methods combining engineering, psychology, and healthcare. Notable projects include the UKRI Future Leaders Fellowship-funded initiative to develop new musical technologies for dementia care and the Active Minds Music Ensemble study. Grants include a £1.18M UKRI Fellowship and an Australian Research Council Discovery Project. Her work has appeared in journals like Alzheimer's & Dementia , Music & Science , and Frontiers in Psychology . Awards include prestigious fellowships and grants supporting her innovative research.

Amir Ghalamzanمشاهده پروفایل

دانشیار

• Robot Learning
• Robot Grasping and Manipulation
• Teleoperation
• +۳ مورد دیگر

Amir Ghalamzan is an Associate Professor at the University of Surrey's School of Computer Science and Electronic Engineering, leading the Intelligent Manipulation Lab. His research focuses on robot learning, robotic grasping, teleoperation, and agri-food robotics. Previously, he held roles at the University of Lincoln and University of Birmingham. Education: PhD in Robot Learning (Politecnico di Milano, 2015), M.Sc. in Mechanical Engineering (Iran University of Science and Technology, 2009). Research Interests: He addresses real-world challenges like labor shortages in agriculture through robots for extreme conditions, such as strawberry picking. His work integrates advanced perception, AI, and control systems. Notable projects include developing autonomous strawberry-picking robots and haptic-guided teleoperation systems. Key Projects: Led the £310K CERES Agtech project (2020-2021) for autonomous strawberry robots, and contributed to the £1.5M Agri Open-Core project (2023-2027) for open-source harvesting software. Collaborated with institutions like Imperial College London and companies like Saga Robotics. Labs/Teams: Directs the Intelligent Manipulation Lab, focusing on tactile sensors (e.g., AST Skin) and soft robotics innovations.

• Electric Machines
• Finite Element Analysis
• Open Source Software
• +۳ مورد دیگر

Simone Ferrari is a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and affiliated with the College of Electrical and Energy Engineering and College of Mechanical, Aerospace and Automotive Engineering as an invited member. His research focuses on electric machines, finite element analysis, and open-source software development for electromagnetic systems. He has supervised multiple PhD students in electrical engineering and has contributed to commercial consulting projects such as the design of electric motors for lifting applications and supervision of high-power motor development. Teaching responsibilities include courses on Propulsion of Hybrid and Electric Vehicles, Applied Electromagnetism, and Electrical Machines across multiple academic years. His work emphasizes multiphysics simulation, data-driven modeling, and the development of efficient traction motors for electric vehicles. Key research outputs include advancements in flux-map-based modeling, fault-tolerant motor designs, and thermal/structural scaling techniques for synchronous machines. Dr. Ferrari holds a patent for a method to identify spatial harmonic flux and torque maps without torque transducers. His recent publications (2024-2025) address challenges in electric motor efficiency, fault performance, and NVH mitigation, reflecting his commitment to advancing sustainable power electronics and clean energy technologies aligned with SDGs 7 and 9.

Ruggero Carliمشاهده پروفایل

دانشیار

• Control Systems
• Robotics
• Machine Learning
• +۶ مورد دیگر

Ruggero Carli is an Associate Professor at the Department of Information Engineering, University of Padova. His research focuses on control systems, robotics, and optimization, with emphasis on model-based reinforcement learning, distributed optimization algorithms, and energy systems. His work bridges theoretical advancements with real-world applications, including autonomous robotics, smart grids, and nonlinear control. Key contributions include physics-informed machine learning frameworks, ADMM-based distributed optimization methods, and MPC-driven control solutions for underactuated systems. Research interests include: Model-Based Reinforcement Learning for Robotics Nonlinear Model Predictive Control (NMPC) Distributed Optimization and ADMM Variants Energy Networks and Smart Grids Robot Dynamics and System Identification Recent publications emphasize: Continual learning for driver behavior analysis Physics-informed control for underactuated systems Robust optimization in unreliable networks Autonomous robotic manipulation with large language models His research integrates control theory with modern machine learning techniques, addressing challenges in edge computing, distributed systems, and real-time implementation.

John Rinzelمشاهده پروفایل

استاد

• Computational Neuroscience
• Biophysical Mechanisms
• Neural Computations
• +۳ مورد دیگر

John Rinzel is a Professor of Neural Science and Mathematics at New York University, affiliated with the Center for Neural Science and the Courant Institute. He holds academic positions within the College of Arts and Science and the Graduate School of Arts and Science. His research focuses on computational neuroscience, integrating biophysical mechanisms with mathematical modeling to understand neural computations at cellular and network levels. Education: Ph.D. in Mathematics (1973) and M.S. in Mathematics (1968) from NYU’s Courant Institute, and a B.S. in Engineering from the University of Florida (1967). Ph.D. in Mathematics, NYU Courant Institute (1973) M.S. in Mathematics, NYU Courant Institute (1968) B.S. in Engineering, University of Florida (1967) Research Interests: Rinzel studies biophysical mechanisms underlying neural computations, including dendritic computation, neuronal excitability, auditory pathway modeling, perceptual bistability, and rhythmic timing. His work combines theoretical models with experimental collaborations, emphasizing reduced biophysical models for cellular and network-level dynamics. Recent research trends include auditory streaming, perceptual dynamics, and rhythmic beat generation in music. His models explore gamma oscillations, thalamic spindle rhythms, and sleep-related neural excitability. Publications highlight applications in sensory processing, neural network oscillations, and cognitive functions like attention and memory coordination. No scientific awards explicitly listed. Rinzel leads a research group focusing on computational neuroscience, collaborating on projects involving auditory neuroscience, mathematical biology, and theoretical neurophysiology. His lab is part of NYU’s Center for Neural Science, fostering interdisciplinary approaches to brain function.

Richard Saveryمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Richard Savery is an Honorary Research Fellow at Macquarie University's Faculty of Arts, affiliated with the Performance and Expertise Research Centre and the Centre for Applied Artificial Intelligence. His work bridges artificial intelligence, robotics, and music, focusing on creative interactions and trust-building through robotic musicianship. He holds a PhD in Music Technology from Georgia Institute of Technology (2021) and a Master's from UC Irvine. Key roles include developing the NSF-funded Keirzo rapping/drumming robot and publishing the edited book Sound and Robotics (2023). Research interests include emotional musical prosody, human-robot collaboration, and robotic performance. Notable projects include Shimon the singing robot and IVF sonification. Awards include a GANG Award (2015) for game audio. Active in interdisciplinary collaborations, he has composed music for films, ads, and video games, including Gunman Taco Truck and Gathering Sky . His work spans academic grants ($800k NSF-NRI grant), industry partnerships, and public installations like the Un[contained] Arts Festival's beehive exhibit. Over 50 publications highlight his contributions to robotics, music tech, and AI ethics.

Gareth Milesمشاهده پروفایل

استاد

• Neuroscience
• Motor Systems
• Neurodegenerative Diseases
• +۴ مورد دیگر

Prof Gareth Brian Miles is a Professor of Neuroscience at the University of St Andrews, affiliated with the School of Psychology and Neuroscience. His research focuses on understanding the neural control of movement, particularly motor systems of the brainstem and spinal cord, with applications to neurodegenerative diseases like Motor Neuron Disease (MND). His lab studies ion channels, neuronal networks, and synaptic physiology in both healthy and diseased states. Research Interests: His work spans from molecular mechanisms to network dynamics, emphasizing the role of astrocytes, cholinergic pathways, and synaptic dysfunction in motor disorders. Key areas include ALS, dystonia, and the modulation of spinal circuits by glial-derived signaling molecules like adenosine. Selected Achievements: Miles has received the 7th International Paulo Gontijo Award in Medicine (2015) and a teaching award for dissertation supervision (2010). His lab has pioneered techniques like super-resolution microscopy and biointegrated microlasers for studying neural networks and contractility in live tissues. Lab & Collaborations: The lab collaborates on projects involving human iPSC-derived models of ALS, spinal cholinergic interneurons, and optogenetic tools. Current PhD students include Jui-Yi Chen, Alyssa Corbett, Ahmad Jibai, and Struan Nisbet. Miles directs the Institute of Behavioural and Neural Sciences and holds roles in interdisciplinary research centers.

Emma Perezمشاهده پروفایل

پژوهشگر

• Decolonial Studies
• Chicana/o History
• Queer Theory
• +۳ مورد دیگر

Dr. Emma Perez is a Research Social Scientist at the Southwest Center and teaches in the Gender and Women's Studies department at the University of Arizona. She holds a PhD in History from UCLA and has held leadership roles as Chair in the Department of History at the University of Texas, El Paso (1990–2003), and Chair in the Department of Ethnic Studies at the University of Colorado, Boulder (2003–2017). Her work focuses on decolonial theory, Chicana/o studies, queer studies, and borderlands narratives. She has authored influential books including The Decolonial Imaginary: Writing Chicanas into History (1999) and novels like Electra's Complex (2015), which explore intersectional identities and colonial legacies. Her research spans decolonial methods, queer epistemologies, and the coloniality of feelings. Recent projects include The Will to Feel: Decolonial Methods, Queer and Otherwise and the dystopian novel I, Ben Espinoza , critiquing global inequities. Perez has received awards such as the Christopher Isherwood Writing Grant (2009) and the National Association for Chicana/Chicano Studies Book Award (2011). Her academic contributions bridge literary and social science disciplines, emphasizing critical race theory, feminist historiography, and border studies. Perez’s work interrogates colonial histories, gender performativity, and the intersections of identity in marginalized communities.

Richard Romanoمشاهده پروفایل

استاد مهمان

• Driving Simulation
• Autonomous Vehicles
• Human-Machine Interaction
• +۱ مورد دیگر

Richard Romano is Visiting Professor at the University of Leeds' Institute for Transport Studies and Staff Researcher at General Motors. His interdisciplinary work bridges engineering and behavioral science to optimize human-automation interaction. Research develops simulation frameworks for testing autonomous vehicle systems, with focus on pedestrian interaction models and motion cueing algorithms. Current projects analyze how drivers evaluate automated driving styles and manage control transitions. Over 143 publications advance real-time simulation methodologies for vehicle dynamics. He directs projects on human-centered AV design funded by EPSRC and leads doctoral training in human factors engineering.

Palanichamy Naveenمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Dr. Palanichamy Naveen is an Assistant Professor in the Department of Electronics and Communication Engineering at Dr. N.G.P. Institute of Technology, India. His research lies at the intersection of computer vision, machine learning, and signal processing, with applications in healthcare, control systems, and academic policy. He actively collaborates with researchers globally, including institutions in the Czech Republic, and has contributed over 60 publications to academic literature. His research interests span Computer Vision , Deep Learning , Image and Video Processing , Signal Processing , and Optimization Algorithms . He also explores interdisciplinary topics such as academic performance appraisal and sports analytics. His work reflects a strong commitment to both technical innovation and institutional improvement in engineering education. The recent trend in his publications demonstrates a dual focus: applying AI to solve real-world problems in medical imaging and industrial control, while also contributing to academic governance through models for faculty evaluation and research incentivization. This blend of technical and administrative research highlights his broad impact in engineering academia. Scientific Contributions: Developed lightweight transformer models for retinal disease detection from OCT scans Proposed novel bio-inspired optimization algorithms for PID controller tuning Designed frameworks for faculty performance appraisal and research contribution assessment Created a relative grading system for ODI cricket player rankings Dr. Naveen is actively involved in academic discourse and knowledge dissemination through preprint platforms and peer-reviewed journals. While no formal advising or grant information is available in the text, his extensive publication record and international collaborations suggest active mentorship and research leadership. He is also engaged with academic networks like SciProfiles and Multidisciplinary Digital Publishing Institute, contributing to the broader scholarly ecosystem.

Manjira Ghosh Kumarمشاهده پروفایل

دانشیار

• Microbiology
• Environmental Science
• Molecular Biology
• +۳ مورد دیگر

Dr. Manjira Ghosh Kumar serves as an Associate Professor of Biology and Chemistry at Cottey College. She holds a B.Sc. from the University of Calcutta, M.Sc. from Kalyani University, and a Ph.D. from The Catholic University of America. Her research focuses on the biochemical and molecular responses of cyanobacteria to environmental pollutants and chemical toxins, including antibiotics and anti-inflammatory drugs. She also investigates bacteriophage T4 DNA packaging mechanisms, contributing to virology and enzymology. Dr. Kumar is a member of the American Society for Microbiology (ASM). Education: Bachelor of Science, University of Calcutta (India) Master of Science, Kalyani University (India) Ph.D., The Catholic University of America (Washington, D.C.) Her research lab examines the impact of environmental toxins on aquatic microorganisms, specifically cyanobacteria, and explores bacteriophage biology. Key themes include antimicrobial finishes on textiles, DNA packaging nuclease regulation, and enzyme interactions in viral systems. Publications span journals such as Nucleic Acids Research and Molecular Microbiology .

John Krakauerمشاهده پروفایل

استاد

• Neuroscience
• Neurology
• Physical Medicine & Rehabilitation
• +۱۲ مورد دیگر

John Krakauer is the John C. Malone Professor of Neurology, Neuroscience, and Physical Medicine & Rehabilitation at the Johns Hopkins University School of Medicine. He is affiliated with the Department of Neurology and holds joint appointments in Neuroscience and Physical Medicine & Rehabilitation. His research is supported by multiple graduate programs including the Biomedical Engineering Program and the Neuroscience Training Program. Dr. Krakauer's research focuses on human sensorimotor learning and motor recovery after brain injury. His work emphasizes the modular architecture of motor control, combining psychophysics, computational modeling, functional brain imaging, non-invasive brain stimulation, and studies of neurological patients. A major focus of his lab is understanding motor impairment after stroke—the leading cause of disability in the United States—using quantitative motion analysis, structural and functional imaging, robotics, and novel neurorehabilitation approaches. The recent publications highlight key trends in systems and cognitive neuroscience, with a strong emphasis on motor learning, neural circuits, and behavioral neuroscience. His work bridges fundamental neuroscience with clinical rehabilitation, particularly in stroke and cerebellar disorders. Articles explore computational models of learning, neural representations in premotor cortex, and the role of habits in reaction times, reflecting a multidisciplinary approach that integrates theory, experimentation, and clinical application. Dr. Krakauer leads a dynamic research team comprising graduate students, postdoctoral fellows, research fellows, and technical staff. His lab fosters interdisciplinary collaboration across neuroscience, engineering, and clinical rehabilitation.

• Control Systems
• Energy Management
• Functional Electrical Stimulation
• +۱۲ مورد دیگر

William Holderbaum is a Professor at the Department of Electrical Engineering, School of Engineering, University of Reading. His research spans control systems, energy management, functional electrical stimulation, robotics, and wireless power transfer, with over 95 publications since 2002. Research Interests: His work integrates theoretical control theory with practical applications in renewable energy, biomedical engineering, and smart systems. He has made significant contributions to microgrid protection, energy storage control, optimal power management for electric cranes, and FES for paraplegia rehabilitation. His recent work explores soft robotics using electroactive polymers and intelligent sensing for environmental and health monitoring. Publication Trends: His recent articles (2021–2025) reflect a multidisciplinary focus, combining engineering, materials science, and healthcare. Key themes include sustainable energy systems, intelligent control, wearable sensors, and novel computing paradigms using smart materials. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He has collaborated extensively with researchers such as F. Alasali, T. Yunusov, M. Alkowatly, and V. Becerra, suggesting a strong mentoring role. His work on energy storage, smart grids, and FES implies involvement in funded research projects, though specific grants are not listed. Labs and Teams: He is part of research teams focused on control systems and energy at the University of Reading, collaborating with the group led by B. Potter and V. Becerra. His work with biomedical applications suggests ties to interdisciplinary health-tech initiatives.