جست‌وجوی استاد و پژوهشگر

Marinella Cappellettiمشاهده پروفایل

مدرس ارشد

• Cognitive Neuroscience
• Numerical Cognition
• Memory
• +۵ مورد دیگر

Marinella Cappelletti is a Senior Lecturer in Psychology at Goldsmiths, University of London, specializing in cognitive neuroscience and the study of brain function across the lifespan. Her research focuses on numerical cognition, memory, executive functions, and aging, employing techniques like EEG and non-invasive brain stimulation. She has secured significant grants from organizations including the Wellcome Trust and Royal Society. Key contributions include exploring cognitive reserve's role in mental health, alpha and gamma oscillations in working memory, and the neurophysiology of middle-age cognition. Education & Research: PhD supported by Wellcome Trust Postdoctoral training via Royal Society Fellowships Research Interests: Her work spans numerical cognition, aging brain dynamics, and the interplay between brain stimulation and cognitive enhancement. She emphasizes translational science while promoting gender equality in academia through initiatives like Athena Swan. Publications: Recent articles highlight innovations in understanding working memory mechanisms via oscillatory patterns (alpha/gamma bands), cognitive reserve’s mental health benefits, and middle-age neurophysiological markers. These contributions underscore her expertise in bridging basic neuroscience with applied cognitive interventions.

• Cognitive Neuroscience
• Music Cognition
• Neuroimaging
• +۵ مورد دیگر

Isabelle Peretz is a Full Professor in the Department of Psychology at the University of Montreal and a leading researcher in the neurocognition of music. She co-directs the BRAMS laboratory (International Laboratory for Brain, Music, and Sound Research), a world-renowned center studying the biological foundations of music processing. Her work focuses on understanding how the brain processes music, including studies on congenital amusia (tone deafness), emotional responses to music, and the neural mechanisms underlying musical perception and production. Education: Ph.D. in Experimental Psychology, Université Libre de Bruxelles (1984) Research Interests: Her research spans cognitive neuropsychology, musical cognition, and neuroimaging. Key areas include: Neural correlates of musical disorders (e.g., amusia) Emotional processing through music and voice Music's role in memory, language, and rehabilitation Genetic and developmental factors in musical ability Recent Article Trends: Recent work emphasizes interdisciplinary approaches, combining behavioral experiments with neuroimaging (fMRI, EEG), and explores music's impact on health (e.g., pain reduction, aphasia rehabilitation) and social integration (e.g., immigrant choir studies). Awards: 2022: Lifetime Achievement Award, Society for Music Perception and Cognition 2020: Prix du Québec and Woman of Distinction Award 2018: Officer of the National Order of Quebec 2011: Neuronal Plasticity Prize (IPSEN Foundation) Advising & Grants: Peretz has supervised over 100 students and secured funding from major agencies (NSERC, CIHR, FRQNT). Her projects include studies on beat deafness, genetic influences on musicality, and music's role in aging populations. Labs & Teams: Co-founder of BRAMS and affiliated with CRBLM (Centre for Research on Brain, Language, and Music). Her work bridges psychology, neuroscience, and clinical practice.

• Cognitive Neuroscience
• Voluntary Action
• Neurodegenerative Disorders
• +۳ مورد دیگر

Dr. Marina Kilintari is a Senior Lecturer in Psychology at Bournemouth University, specializing in cognitive neuroscience of voluntary action. Her work bridges perception, cognition, and motor function, with a focus on neurodegenerative and mental health disorders. She holds a PhD from the University of Crete and contributes to UN SDGs addressing health and education. Research themes: Action-perception interactions, intentionality, and motor cognition Methodologies: Behavioral tasks, EEG/fMRI/MEG neuroimaging Key contributions: Insights into ADHD-technology addiction links, pain neuroscience, and motor cognition disorders Teaching responsibilities include Biological Psychology, Neuroimaging, and research supervision. Her grants include studies on agency in learning and neural underpinnings of motivation.

Yuranny Cabral-Calderinمشاهده پروفایل

پژوهشگر

• Neural oscillations
• Neural entrainment
• Noninvasive brain stimulation
• +۳ مورد دیگر

Dr. Yuranny Cabral-Calderin is a Researcher at the Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany. She holds a PhD in Systems Neurosciences from the University of Göttingen (2016), an MSc in Cognitive and Systems Neuroscience from the Cuban Center for Neuroscience (2011), and a Diploma in Psychology from Havana University (2007). Her research focuses on neural oscillations, noninvasive brain stimulation, and auditory/visual perception, with a particular interest in neural entrainment mechanisms and brain imaging techniques like EEG-fMRI and tACS. She has contributed to understanding how rhythmic auditory stimulation and transcranial stimulation modulate brain activity and perception. Her work spans both human and animal models (e.g., bats), exploring cortical networks and oscillatory coherence. Awards include the Merit Abstract Award (OHBM, 2015) and FENS-IBRO stipend (2014). She has held postdoctoral positions at the Max Planck Institute, Goethe University’s Brain Imaging Center, and the German Resilience Center, contributing to interdisciplinary research on neural circuits, consciousness, and cognition.

• Motor Control
• Cognitive Psychology
• Action Planning
• +۳ مورد دیگر

Dr. Seegelke Christian is a researcher at the Department of Psychology, University of Salzburg, affiliated with the Reach & Touch Lab. His work focuses on motor planning, action selection, and spatial-cognitive interactions. He explores how bodily experiences and sensorimotor processes shape perception and decision-making, with studies on handedness effects, spatial compatibility, and neural coding of motor actions. His research integrates cognitive psychology, neuroscience, and experimental methods to understand how humans plan and execute movements. Recent work highlights the role of anatomical and external spatial coding in reaching tasks, post-hoc construction of tactile localization, and repetition effects in motor planning. His articles emphasize interdisciplinary approaches to model integration across disciplines. Dr. Seegelke has contributed to over 50 peer-reviewed publications since 2011, with a focus on motor control mechanisms, perceptual-motor interactions, and decision-making processes. He is part of the Abt. Kognition und Entwicklung division and collaborates across faculties including Natural and Life Sciences.

Megan Detloffمشاهده پروفایل

دانشیار

• Neuropathic Pain
• Spinal Cord Injury
• Neuroimmune Interactions
• +۶ مورد دیگر

Megan Detloff, PhD, is an Associate Professor in the Department of Neurobiology & Anatomy at Drexel University College of Medicine. She completed her PhD in Neuroscience at The Ohio State University (2009) and a BS in Chemical Engineering at the University of Michigan (2002). Her research focuses on understanding how injury and rehabilitative exercise influence pain and sensorimotor function post-spinal cord injury (SCI). Her lab employs multidisciplinary approaches, including behavioral assessments, electrophysiology, and molecular analyses to study neuroimmune interactions, nociceptor dysfunction in cerebral palsy, and exercise-mediated neural plasticity. Key research areas include spinal cord injury-induced neuroinflammation, chronic pain mechanisms, and translational models of cerebral palsy. She leads NIH-funded projects investigating exercise as a therapeutic for neuropathic pain and macrophage-targeted nanotherapies for SCI pain. Collaborators span Drexel and external institutions, including Clemson University and George Washington University. Dr. Detloff emphasizes DEI in STEM, fostering an inclusive lab environment for diverse trainees. She mentors students in techniques like spinal surgery, behavioral testing, molecular biology, and electrophysiology. Her lab has trained numerous PhD and MS students, including notable alumni like Dr. Jonathan Richards and Daniel Freeman. Active grants include NIH NINDS and Craig H. Neilsen Foundation funding. Recent lab milestones include student awards and successful defenses, such as Jason Wheeler’s fellowship and Jonathan Richards’ dissertation defense. Her work bridges basic science and clinical applications, aiming to improve outcomes for SCI and chronic pain patients.

• Biomedical Engineering
• Medical Robotics
• Neural Engineering
• +۳ مورد دیگر

Giacomo Severini is a Lecturer in Biomedical Engineering at University College Dublin, Ireland. He holds a MSc in Electronic Engineering (2008) and a PhD in Biomedical Engineering (2012) from Roma Tre University. His postdoctoral research included roles at Harvard Medical School and Spaulding Rehabilitation Hospital in the USA. His work focuses on applying robotics to upper/lower limb rehabilitation, with contributions to muscle synergy analysis and tremor suppression systems. He participated in the EU-FP7 'TREMOR' project (2008–2011). Key research areas include EMG signal processing, cortico-muscular coherence, and rehabilitation technology. His projects emphasize clinical applications such as functional electrical stimulation and real-time movement intent detection. He has published widely in journals like IEEE Transactions on Neural Systems and Rehabilitation Engineering, and conferences including the International Society of Electrophysiology and Kinesiology (ISEK). His work also extends to bio-inspired neural models for tremor control and wearable robotic systems for mobility assistance. Lab affiliations include BioLab³ at Roma Tre University and the Motion Analysis Laboratory at Spaulding Hospital. His research integrates robotics, neuroscience, and biomechanics to enhance rehabilitation outcomes. Current efforts center on synergy-based approaches to movement analysis and robotic-assisted therapies.

Scott Beardsleyمشاهده پروفایل

دانشیار

• Neuroengineering
• Neuroplasticity
• Human Visuo-Motor Processing
• +۳ مورد دیگر

Dr. Scott Beardsley is an Associate Professor and Director of Undergraduate Studies in the Joint Department of Biomedical Engineering at Marquette University and the Medical College of Wisconsin (MCW). His research focuses on neuroengineering, neuroplasticity, and sensorimotor control, with applications in stroke rehabilitation, multiple sclerosis, and epilepsy. He holds a B.S. in Physics and Mathematics from the University of Wisconsin-Whitewater, a Ph.D. in Biomedical Engineering from Boston University, and completed a postdoctoral fellowship there. His research integrates experimental and computational approaches to study neural coding, functional neuroimaging, and clinical neuroscience. Key areas include EEG-fMRI coupling, cortical activity in movement disorders, and neuroprosthetic design. He leads the Integrative Neural Systems Laboratory (INSL) and teaches courses like Biomedical Instrumentation Design and Neural Engineering. Recent work involves predicting seizure onset zones via machine learning and exploring visual-motor deficits in neurological disorders. He collaborates on grants focusing on sensorimotor error correction and clinical neurology research. His contributions advance translational neuroscience, bridging engineering and clinical practice.

Joshua Barriosمشاهده پروفایل

استادیار

• Machine Learning in Healthcare
• Cardiology
• Clinical Medicine
• +۳ مورد دیگر

Dr. Joshua Barrios is an Assistant Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. He holds a Ph.D. in Neuroscience from the University of Utah (2019), focusing on dopaminergic modulation of sensorimotor behavior. His research integrates computational neuroscience, systems neuroscience, and advanced machine learning to develop clinical tools for disease detection and diagnostic enhancement. He collaborates closely with Dr. Geoff Tison in the Tison Lab, focusing on deep learning systems for cardiovascular applications, such as automated disease detection from ECGs, echocardiograms, and other clinical data. Key research interests include improving early disease detection for conditions like mitral valve prolapse, hypertrophic cardiomyopathy, and pulmonary hypertension. Dr. Barrios mentors students and fellows in UCSF’s collaborative environment, leveraging access to clinical data and computational resources. His work emphasizes enhancing healthcare sensitivity and preventative care efficacy through AI-driven innovations. Recent publications highlight advancements in automated ECG analysis, cardiac imaging interpretation, and AI applications for arrhythmia monitoring. Despite no listed awards, his contributions to AI in cardiology have been widely discussed in medical and tech communities, with collaborations across institutions like UCSF, University of Utah, and international teams. His lab’s work aims to bridge engineering and clinical practice, addressing unmet needs in diagnostics and patient care.

Wilsaan Joinerمشاهده پروفایل

استاد

• Neuroscience
• Motor Control
• Sensory Integration
• +۴ مورد دیگر

Wilsaan Joiner is a Professor in the Department of Neurobiology, Physiology, and Behavior at the University of California, Davis. He holds affiliations with the Center for Neuroscience and the Neuroscience Graduate Group. His research focuses on sensory integration, motor control, and neural mechanisms underlying behavior in healthy and impaired populations, including studies on prosthetic embodiment, motor adaptation in children with congenital limb deficiencies, and time perception influenced by motor activity. Education: B.S. in Biomedical Engineering, Saint Louis University (2001) Ph.D. in Biomedical Engineering, Johns Hopkins School of Medicine (2007) Research interests include prosthetic design, neural rehabilitation, and multisensory integration. Key work explores how sensory information guides movement planning and perception, with applications in clinical populations such as amputees and individuals with schizophrenia. Joiner’s lab develops technologies like sonomyography for prosthetic control and investigates haptic interfaces for space robotics. Publications highlight advancements in prosthetic embodiment, pediatric motor control, and the neural underpinnings of motor learning. His work emphasizes translational research, advocating for standardized testing protocols in prosthetics and collaborative data-sharing frameworks in spinal cord injury studies.

Ivana Konvalinkaمشاهده پروفایل

دانشیار

• Social Neuroscience
• Physiological Coupling
• Hyperscanning EEG
• +۷ مورد دیگر

Ivana Konvalinka is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark, researching social neuroscience with a focus on intra- and inter-personal mechanisms of social interaction. Her work develops joint action paradigms and multivariate methods to quantify two-person processes at behavioral, neural, and physiological levels. Research interests include: Real-time action coordination Neurophysiological mechanisms of mutual interaction using dual EEG Physiological signal coupling during coordination and observation Her publications predominantly explore hyperscanning EEG methodologies, interpersonal synchronization dynamics, and neural mechanisms of social cognition. Recent work demonstrates a focus on developing novel analytical frameworks for two-brain interactions and clinical applications of synchronization metrics. Current projects: Interpersonal synchronization as a marker of listening engagement Group interaction temporal dynamics Social network effects on neural/behavioral dynamics Transdiagnostic symptom clusters in PTSD EEG biomarkers in trauma disorders

• Robotics
• Artificial Intelligence
• Reinforcement Learning
• +۵ مورد دیگر

Abdeslam Boularias is an Associate Professor in the Department of Computer Science at Rutgers, The State University of New Jersey. His research focuses on robotics, artificial intelligence, and reinforcement learning, with a strong emphasis on robotic manipulation, model-based control, and perception in cluttered environments. He leads research groups in Artificial Intelligence, Intelligent Systems, and Robotics. Key contributions include advancing techniques for dynamic object tracking, sensorimotor learning in unstructured settings, and integrating physics-based reasoning with deep learning. His work has been recognized with prestigious grants such as the NSF CAREER Award and collaborative grants with institutions like Yale University. Grants: NSF NRI Grant (2022), NSF SA&S Grant (2021), NSF CAREER Award (2024) Research Themes: Robotics in clutter, reinforcement learning for manipulation, physics-aware perception, and end-to-end systems for autonomous robots His recent publications emphasize scalable manipulation learning, one-shot imitation, and diffusion models for affordance prediction. He actively contributes to advancing robotic systems that operate reliably in complex real-world scenarios.

Konstantinos Michmizosمشاهده پروفایل

دانشیار

• Neuromorphic Computing
• Artificial Intelligence
• Computational Neuroscience
• +۴ مورد دیگر

Konstantinos Michmizos is an Associate Professor in the Department of Computer Science at Rutgers University, with affiliations to the Rutgers Center for Cognitive Science, Brain Health Institute, and Center for Computational Biomedicine Imaging and Informatics. His research focuses on neuromorphic computing, neuro-AI integration, and brain-inspired robotics, emphasizing systems that interact with brain activity across neural and behavioral scales. He leads the Michmizos Lab and ComBra Lab, pioneering projects like robotic nurses powered by neuromorphic chips and astrocyte-driven computational models. Key research interests include neuromorphic hardware-software co-design, spiking neural networks, and applications in neurorehabilitation. Notable achievements include securing grants from NIH, Intel, and VCRI, along with awards for best papers on Neuro-AI and computational astrocyence. His work bridges artificial intelligence with biological systems, aiming to translate neural mechanisms into advanced robotic and biomedical technologies. Michmizos teaches graduate courses like Brain-Inspired Computing and has advised students such as Ioannis Polykretis. His research spans neuromorphic SLAM systems, EEG decoding frameworks, and biohybrid robotic systems, with recent breakthroughs in calcium wave modeling for astrocyte-neuron interactions. Collaborations emphasize multi-scale computational biology and clinical applications in neurology.

Jerzy Samochowiecمشاهده پروفایل

استاد

• Psychiatry
• Genetics of Dependence
• Neurotransmission in Mental Disorders
• +۷ مورد دیگر

Jerzy Samochowiec is a Professor at the Department of Psychiatry, Faculty of Health Sciences, Pomeranian Medical University in Szczecin. His research focuses on psychiatric genetics, neuropharmacology, and innovative treatments for mental disorders such as schizophrenia, alcohol dependence, and depression. Key areas include neurotransmitter systems (dopaminergic, serotonergic), gut microbiota’s role in mental health, and virtual reality applications in addiction therapy. He holds leadership roles in academic and clinical psychiatry, with career milestones including becoming a Professor in 2004, Assistant Professor in 1999, and completing his doctorate in 1993. Research interests span schizophrenia biomarkers (e.g., stem cells, DTI), cognitive rehabilitation, and the impact of diet/physical activity on mental health. He has authored over 550 publications, supervised 20 promoted theses, and contributed to national guidelines on addiction and psychiatric care. His work bridges clinical practice and neuroscience, emphasizing translational research to improve patient outcomes. Scientific contributions include studies on inflammatory markers in schizophrenia, microbiota alterations linked to psychosis, and the role of childhood trauma in psychopathology. He collaborates internationally on projects like the COH-FIT study analyzing pandemic mental health impacts. His lab focuses on neuropsychological assessments, immune-inflammatory pathways, and digital mental health solutions.

• Workplace Ergonomics
• Musculoskeletal Rehabilitation
• Occupational Health
• +۳ مورد دیگر

Professor Venerina Johnston is a leading academic in workplace health and rehabilitation at the University of Southern Queensland's School of Health and Medical Sciences. Her research focuses on musculoskeletal disorders, occupational health, and return-to-work interventions within the Centre for Health Research. BPhty, Queensland University (1981) BPhtyHons, Queensland University (1982) GCertMgt, University of Southern Queensland (1999) GDWDP, Sherbrooke University (2012) PhD, Queensland University (2007) Her primary research investigates neck pain management in office workers, ergonomic interventions, and vocational rehabilitation following injuries. Johnston pioneers digital solutions like the Sit-Stand e-Guide and examines economic impacts of workplace interventions through cost-benefit analyses. Current projects address musculoskeletal self-management tools and wellbeing of workers post-compensation claims. Johnston's publication trends reveal strong focus on workplace ergonomics (45% of 2023-2025 articles), injury rehabilitation (30%), and methodological innovations in measurement tools (25%). Recent work emphasizes digital health solutions and longitudinal economic evaluations of interventions. As principal investigator for the NEXpro Collaboration Group, she leads multinational studies on neck pain interventions in Swiss office workers. Her research directly informs clinical frameworks for healthcare providers managing work-related injuries. ORCID: 0000-0003-0911-0866 2,565 total research output views 1,085 total research output downloads