جستجوی استاد راهنمای دانشگاهی

Jelmer Borstمشاهده پروفایل

دانشیار

• Computational Cognitive Neuroscience
• Neuroimaging Analysis
• Cognitive Modeling
• +۵ مورد دیگر

Prof. Jelmer Borst is an Associate Professor in Computational Cognitive Neuroscience at the University of Groningen's Faculty of Science and Engineering, affiliated with the Artificial Intelligence department within the Bernoulli Institute. His research focuses on integrating computational models with neuroimaging data to understand cognitive processes like multitasking, working memory, and decision-making. He advises three PhD candidates and collaborates internationally on projects involving EEG/fMRI analysis and cognitive modeling frameworks such as ACT-R and Nengo. Research Interests: Neuroimaging analysis methods, cognitive bottlenecks in multitasking, memory retrieval localization, and adaptive learning systems. Key Projects: Developed the PREDICTOR tool for semi-automated driving response timing, and advanced models linking symbolic process stages to brain activity via MEG/EEG. Recent work includes large-scale evaluations of adaptive learning systems and interventions to mitigate mind-wandering in driving scenarios. He has received the Allen Newell Best Student-led Paper Award (2021) for contributions to cold-start adaptive learning research. His research group maintains active collaborations on datasets involving working memory, decision-making, and cognitive architecture validation through neuroimaging experiments. He also contributes to open-source tools for cognitive modeling and neuroimaging analysis.

• Computational Neuroscience
• Neuroimaging
• Signal Processing
• +۳ مورد دیگر

Silva Pereira, Silvana is affiliated with the Universitat Pompeu Fabra (UPF), currently part of the Speech Acquisition and Perception Group led by Prof. Nuria Sebastian-Galles. Previously, she worked as a professor for undergraduate engineering courses at UPF’s Department of Information and Communication Technologies (DTIC) from 2015 to 2018. Her research focuses on understanding brain processing and integration of sensory information, leveraging neuroimaging techniques (EEG, MEG, fMRI) and dynamical models. She collaborates on the ERC-funded project Under Control, exploring neural mechanisms underlying perception and behavior. She holds an MSc in mathematical modeling from Universitetet i Oslo (Norway) and a PhD in signal processing from the Universitat Politècnica de Catalunya. Her expertise includes developing mathematical neuro-dynamic models and analyzing brain signals to study cognition. Her work bridges computational neuroscience, signal processing, and cognitive science, aiming to unravel how neural dynamics shape human perception. She has contributed to the Computational Neuroscience Group (CNS) led by Prof. Gustavo Deco, furthering interdisciplinary research in brain modeling.

• Ethnomusicology
• Cognitive Science
• Neuroscience
• +۵ مورد دیگر

Alexander Khalil is a Senior Lecturer in Music at University College Cork (UCC) and Visiting Senior Lecturer of Research at King’s College London’s Social Genetic Developmental Psychiatry Centre. His work bridges ethnomusicology, cognitive science, and neuroscience, focusing on the intersubjective experience of time in music. He holds a PhD in Music from UC San Diego (2009) and has held roles including Executive Director of the Center for World Music (1999-2003) and Postdoctoral Scholar at UCSD’s Temporal Dynamics of Learning Center (2010-2014). His research explores Byzantine chant, Middle Eastern music, and Balinese gamelan, with a focus on cultural cognition and group-level neural dynamics. Major projects include the SoundMind initiative (funded by the Tianqiao Chen Institute) investigating Audio Augmented Reality for dementia, and the Lullaby Exchange, a global crowdsourced lullaby archive. He has secured over €2.5M in grants including Irish Research Council and NSF funding. Teaching includes undergraduate courses in Middle Eastern music and cognitive ethnomusicology, alongside postgraduate modules in music perception and ethnomusicological theory. He supervises 15+ graduate students and chairs UCC’s Film, Music & Theatre Doctoral School. Awards include the IEEE Brain Initiative First Place Award (2016) and San Diego State University’s Alumnus of the Year (2013).

Samuel Norman-Haignereمشاهده پروفایل

استادیار

• Computational Neuroscience
• Auditory Processing
• Neural Coding
• +۴ مورد دیگر

Samuel Norman-Haignere is an Assistant Professor holding joint appointments in the Department of Biostatistics and Computational Biology, Department of Neuroscience, and Department of Biomedical Engineering at the University of Rochester's School of Medicine and Dentistry (SMD). His research focuses on the computational and experimental mechanisms underlying human auditory perception, particularly speech and music processing. He earned his PhD in Neuroscience from MIT (2015) and completed postdoctoral training at MIT, École Normale Supérieure, and Columbia University. Education: BA in Cognitive Science from Yale University (2010), PhD in Neuroscience from MIT (2015). Postdoctoral positions included work with Josh McDermott/Nancy Kanwisher (MIT, 2015-2017), Shihab Shamma (École Normale Supérieure, 2017-2018), and Nima Mesgarani (Columbia, 2018-2021). Research interests emphasize developing statistical methods to analyze high-dimensional neuroimaging data and modeling neural responses in auditory cortex. His lab uses fMRI, intracranial recordings, and computational approaches to study hierarchical auditory processing and cross-species comparisons. Key findings include identifying speech/music-selective neural populations and demonstrating music-sensitive cortex independent of musical training. Selected awards include the NSF Graduate Research Fellowship (2010-2015) and multiple poster awards. Collaborations span neurology, neurosurgery, and animal physiology labs to bridge computational models with experimental insights. Labs/Teams: Computational Neuroscience of Audition Lab, affiliated with the Del Monte Institute for Neuroscience and UR Medicine's CABIN imaging facility. Active in training students through UR's Neurobiology & Anatomy and Neuroscience PhD programs.

Paul Frankenمشاهده پروفایل

دانشیار

• Sleep Homeostasis
• Circadian Rhythms
• Genetics (QTL Analysis)
• +۵ مورد دیگر

Paul Franken is an Associate Professor at the Center for Integrative Genomics (CIG), University of Lausanne. His research focuses on the molecular mechanisms underlying sleep homeostasis and circadian rhythms, with emphasis on genetic and systems-level approaches. Franken received his PhD from the University of Groningen (1993) and conducted postdoctoral work at Stanford University and the University of Geneva. His lab investigates how sleep-wake states interact with circadian processes, using mouse models to study clock gene regulation, miRNA functions, and the genetic basis of EEG traits. Key projects include systems genetics of sleep deprivation and the role of NPAS2 in linking clock genes to metabolic state. Education: PhD in Neurobiology, University of Groningen (1993) Postdoctoral Training: Stanford University (1993–2000), University of Geneva (1996–2000) Affiliations: Member of the CIG since 2005; Group Leader with postdocs, PhD students, and technical staff Research Interests: The lab employs QTL mapping, molecular genetics, and in vivo imaging to unravel how sleep homeostasis and circadian rhythms are intertwined. Current projects explore: Genetic determinants of sleep traits using BXD and Collaborative Cross mouse populations Mechanisms linking clock gene expression (e.g., PER1/PER2) to wakefulness duration Role of miRNAs like miR-709 in sleep EEG regulation Systems biology approaches to integrate genomic, metabolomic, and behavioral data Grants & Collaborations: Supported by Swiss National Science Foundation and EU grants. Collaborates with neuroscientists, bioinformaticians, and clinicians to advance sleep medicine. Labs/Teams: Franken leads a multidisciplinary team at CIG, including studies on vestibular stimulation effects (rocking and sleep) and peripheral clock interactions.

• Robotics
• Control Systems
• Automation
• +۱۰ مورد دیگر

ABDERRAHIM FICHOUCHE, MOHAMED is an Associate Professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid (UC3M), where he also serves as Deputy Director of the Doctorate. He is affiliated with the Robotics Lab research group and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. His academic and research profile spans robotics, control systems, biomedical engineering, and power systems. His research interests include robotics , automation , control systems , biomedical signal processing , computer vision , and renewable energy integration . His work focuses on intelligent robotic systems, rehabilitation robotics, EEG-based brain-computer interfaces, fault detection in power systems, and advanced control strategies for industrial and autonomous systems. The recent publications reflect a strong trend in interdisciplinary research, combining machine learning with signal processing for applications in medical diagnostics , robotic control , and smart grid monitoring . His work increasingly integrates deep learning , wavelet analysis , and adaptive control across domains. He has led major research projects such as: HANDLE (EU and national funding): Focused on dexterous in-hand manipulation. SARAH: Enhancing robot autonomy with artificial hands. PAPREC: Automatic grasping of disordered parts. PROSAVE: Eco-efficient aircraft systems. GRAND-PA: Assistive technologies for the elderly. He currently participates in ongoing projects including: SEGVAUTO5G-CM (2025–2028): Future mobility innovation. RoboCity2030-DIH-CM (2019–2023): Madrid Robotics Digital Innovation Hub. HYPER: Neuroprosthetic and neurorobotic devices for rehabilitation. He has supervised several theses on topics such as transmission line fault detection , autonomous decision-making in robots , and 3D perception . His research is conducted primarily within the Robotics Lab at UC3M, a multidisciplinary team focusing on advanced robotic systems for industrial, medical, and service applications.

Kim Dremstrupمشاهده پروفایل

استاد

• Biomedical Engineering
• Brain-Computer Interfaces
• EEG Analysis
• +۷ مورد دیگر

Kim Dremstrup is Head of Department at the Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Denmark. He is a leading researcher in biomedical engineering with a focus on brain-computer interfaces (BCI), EEG analysis, sleep research, and rehabilitation technology. He has played a pivotal role in establishing BCI and sleep research at AAU and leads the Aalborg BCI group, recognized internationally for early applications in stroke, spinal cord injury, and ALS rehabilitation. PhD in Computerized Sleep Analysis (1993) MSc in Biomedical Engineering (1984) His research centers on decoding brain signals for clinical applications, with major contributions including the invention of the Nightingale Automatic Sleep Analyzer and co-invention of the EDF bio-signal format used globally. His work enables assistive technologies for severely disabled individuals, particularly through hybrid control systems integrating brain and tongue signals. He is also involved in telerehabilitation and neonatal care technologies. Recent publications highlight advancements in error-related potential detection in stroke and motor disabilities, hybrid BCI-tongue control for ALS, and assistive robotics. His work spans neuroscience, biomedical engineering, robotics, and clinical medicine, with a strong translational focus. Inventor of the Nightingale Sleep Analyzer Co-inventor of EDF bio-signal format President, Danish MedTech Society (DMTS) Danish representative in IFMBE Chairman, Den Nordjyske Trivselsfond He actively supervises PhD students and participates in multiple research projects, including assistive robotics and multimodal control systems. He is also engaged in public discourse through media contributions on digital health and personalized medicine. He leads the Center for Rehabilitation Robotics and contributes to UN Sustainable Development Goals in health and well-being.

Ana Antonic-Bakerمشاهده پروفایل

دانشگاهی

• Stem Cell Biology
• Neuroscience
• Epilepsy
• +۳ مورد دیگر

Ana Antonic-Baker is a Senior Research Fellow at the Department of Neuroscience, Monash University, focusing on stem cell biology, neuroscience, and epilepsy research. She holds past positions including Research Fellow at the University of Melbourne (2016–2018), Research Officer at the Florey Institute (2013–2015), and earlier roles at Genesis Research & Development and the Liggins Institute. Her work contributes to UN Sustainable Development Goals related to health and well-being. Her research expertise includes developing in vitro disease models for neurological disorders (e.g., stroke), systematic reviews of human and animal studies, and multidisciplinary approaches to epilepsy mechanisms. She leads and collaborates on projects such as drug-resistant epilepsy treatments and Homer1 gene mutation studies. She is an editorial board member for Systematic Reviews and BMJ Open Science , and actively participates in conferences on systematic reviews and epilepsy. Key awards include the 2022 Dept Collaborative Seed Grant and recognition as an ASSCR delegate at Science & Technology Australia’s 2025 Science Meets Parliament event. Her work emphasizes evidence integration, precision medicine, and translational neuroscience.

Nao Tsuchiyaمشاهده پروفایل

استاد

• Consciousness
• Neuroscience
• Attention
• +۶ مورد دیگر

Professor Nao Tsuchiya is a neuroscientist at Monash University's Turner Institute for Brain & Mental Health, specializing in consciousness studies. He holds a PhD in Computation and Neural Systems from Caltech and a Bachelor's in Science from Kyoto University. His research explores the neural basis of consciousness, attention, and qualia, employing methods like neuroimaging (EEG/MEG/fMRI), psychophysical experiments, and mathematical frameworks (category theory, quantum cognition). Current projects include the Dreamscape Project (neurophysiology of dreams), analyzing multi-channel neurophysiological data, and testing quantitative theories of consciousness. He also leads the 'Lifting the Veil' project on visual perception disorders and serves as an editorial board member for Neuroscience of Consciousness . His work addresses fundamental questions about consciousness in animals, machines, and humans, contributing to UN Sustainable Development Goals. Education PhD in Computation and Neural Systems, California Institute of Technology (2000-2005) Bachelor in Science, Kyoto University (1996-2000) Research Interests His lab investigates: Neuronal correlates of conscious/non-conscious processing Consciousness vs attention mechanisms Quantitative theories of consciousness (e.g., Integrated Information Theory) Qualia structure mapping via mathematical models Cross-modal perception and emotion Grants & Projects Leads/co-leads 15+ research projects including: Australian Research Council-funded Dreamscape Project (2024-2027) NHMRC Equipment Grant for neural stimulation technology (2023-2024) Adversarial testing of consciousness theories (2021) Awards & Recognition While no explicit awards are listed, his work has been referenced in multiple Wikipedia pages and news outlets, indicating academic impact. Labs & Teams Runs the Tsuchiya Lab at Monash with active collaborations across disciplines (psychology, physics, computer science), focusing on experimental and theoretical approaches to consciousness.

Shrey Pareekمشاهده پروفایل

مدرس

• Computer Vision
• Robotics
• Reinforcement Learning
• +۸ مورد دیگر

Shrey Pareek is a Lecturer in Software Engineering and Data Science at the University of St. Thomas. He holds a PhD in medical robotics and AI from the University of Illinois at Urbana-Champaign, an MS in Mechanical Engineering from the State University of New York at Buffalo, and a BE in Mechanical Engineering from Manipal University. Currently, he also serves as a Computer Vision Scientist at Cargill, focusing on large-scale computer vision and machine learning applications. His research interests include real-time systems, human-robot interaction, robotic rehabilitation, reinforcement learning, and biomechanical signal processing (EMG/EEG). He emphasizes practical applications of AI in manufacturing and healthcare, blending theoretical foundations with industry-relevant solutions. In Fall 2025, he teaches SEIS 763-02 (Machine Learning) and ETLS 699-02 (AI for Smart Manufacturing I). The Machine Learning course covers both theoretical principles and hands-on implementation of supervised/unsupervised algorithms, while AI for Smart Manufacturing focuses on foundational concepts and real-world data integration from industry partners. No specific scientific awards or grants are listed in the provided text. His work prioritizes interdisciplinary collaboration between engineering, medicine, and manufacturing.

• Artificial Intelligence
• Brain-Computer Interfaces
• Neural Networks
• +۲ مورد دیگر

Manuel Eder is a researcher affiliated with the Faculty of Computer Science's Research Group Neuroinformatics. He holds a Diplom-Ingenieur (Dipl.-Ing.) engineering degree and a Bachelor of Science (BSc), indicating strong technical foundations in computational neuroscience and engineering disciplines. His research centers on the critical intersection of artificial intelligence and neural systems, with primary expertise in Brain-Computer Interfaces (BCIs), neural network architectures, and neuroprosthetic applications. He investigates how AI can decode neural signals to create assistive technologies, particularly focusing on cognitive psychology aspects of human-machine interaction and addressing communication impairments through innovative BCI solutions. Analysis of his 2024 publications reveals a cohesive research trajectory advancing practical BCI implementations. His work demonstrates methodological rigor in benchmarking algorithmic approaches while maintaining strong clinical relevance, particularly in developing EMG-integrated systems for patient populations and conversational interfaces that bridge neural activity with natural language processing. This dual focus on theoretical algorithm development and real-world medical applications represents a significant contribution to the neurotechnology field. Eder operates within the Neuroinformatics research group, which specializes in computational modeling of neural systems and developing AI-driven tools for neuroscience research. While specific laboratory infrastructure details aren't provided, his publication patterns indicate active collaboration with both computational researchers and clinical specialists in neuroscience and rehabilitation medicine.

• Cognitive Neuroscience
• Decision Making
• Attention & Cognitive Control
• +۴ مورد دیگر

Professor Nick Yeung is a Professor of Cognitive Neuroscience at the University of Oxford and Tutorial Fellow at University College, Oxford. His primary affiliation is with the Department of Experimental Psychology. His research focuses on the cognitive and neural mechanisms underlying human learning, memory, attention, and decision-making. He explores how subjective confidence in choices influences information-seeking behavior and error detection, with applications in mental health (e.g., depression) and human-machine collaboration. Yeung holds a BA (Hons) and PhD in Psychology. His work integrates computational modeling, neuroimaging (EEG/fMRI), and experimental psychology to study metacognition, task switching, and attentional control. Recent studies investigate domain-general error signals, advice utilization dynamics, and neural correlates of confidence. Research highlights include EEG-based attention monitoring for safety-critical tasks (e.g., driving) and exploring how confidence biases affect decision-making in healthcare and collaborative systems. His lab also develops practical applications of cognitive neuroscience findings, such as attention-stabilizing neurostimulation devices. Key contributions span over 80 publications, including high-impact work on decision confidence, error monitoring, and cognitive control. His 2024 perspective paper outlines foundational advancements in cognitive control research, while 2025 studies reveal shared neural error signals across sensory modalities.

Nesma HOUMANIمشاهده پروفایل

مدرس

• Biomedical Engineering
• Signal Processing
• Neuroscience
• +۵ مورد دیگر

Nesma HOUMANI is a Lecturer at Telecom SudParis, part of the SAMOVAR research team. Her work focuses on biomedical signal processing, neuroimaging, and biometric authentication systems. She has contributed to Alzheimer’s disease detection via EEG analysis, gait quality measurement for neurological disorders, and neurofeedback applications for cognitive enhancement. Education: PhD in Biomedical Signal Processing (2011) from National Institute of Telecommunications (Institut National de Télécommunications) Research Interests: EEG-based diagnostics for neurological disorders Biometric systems (online signatures, gait analysis) Neurofeedback and neuromodulation Machine learning for medical signal analysis Recent Article Trends: Her recent work (2020-2025) emphasizes clinical applications of signal processing in Alzheimer’s detection, gait deviation measurement for hemiparesis patients, and neurofeedback for cognitive reserve enhancement in the elderly. Collaborations span interdisciplinary teams in neuroscience, engineering, and medicine. Patents: "Method for generating information about the production of a handwritten, hand-affixed or printed trace" (US 11989979B2, 2024) "Identity verification method using handwritten signatures on digital sensors" (EP3942442, 2022) Grants & Labs: Active in SAMOVAR’s projects on biomedical signal analysis and neurotechnology. Involved in multidisciplinary initiatives like the BV2 wellbeing project for chronic disease patients.

Mohamad Eidمشاهده پروفایل

دانشیار

• Haptics
• Multi-modal Human-Computer Interaction
• Affective Haptics
• +۷ مورد دیگر

Mohamad Eid is an Associate Professor of Electrical and Computer Engineering at New York University Abu Dhabi (NYUAD), with a Global Network Associate Professor appointment at NYU Tandon School of Engineering. He leads the Applied Interactive Multimedia Laboratory (AIMLab), focusing on cutting-edge research in haptics and multimodal interaction. His research interests include haptics, affective haptics, EEG-based neurohaptics, soft haptics, biofeedback technologies, and human-computer interaction. He explores how tactile feedback can enhance virtual and augmented reality, assistive technologies, and medical simulation. His recent publications demonstrate strong activity in IEEE Transactions on Haptics, ACM TOMM, and other top venues, with work spanning vibrotactile alarms, mid-air haptics, emotion communication via touch, and haptic dental simulation. His research integrates engineering, neuroscience, and multimedia to create immersive and affective user experiences. Best Paper Award, ICBAE 2016 Best Paper Award, DS-RT 2008 ACM Multimedia 2009 Grand Challenge Most Entertaining Award Mohamad Eid advises students through capstone projects in computer science and biology and has contributed to educational initiatives such as robotic handwriting assistance for Arabic script. He holds multiple patents in haptic feedback systems and is an active editor for IEEE Transactions on Haptics. His work is supported by grants and has been featured in media outlets like Wired and The National. He leads the Applied Interactive Multimedia Laboratory (AIMLab), a multidisciplinary research group developing innovative haptic and interactive systems for healthcare, education, and entertainment.

• Consciousness Studies
• Cognitive Neuroscience
• Sleep Deprivation Effects
• +۳ مورد دیگر

Anikó Kusztor is a Postdoctoral Research Fellow at Monash University, Australia, specializing in consciousness studies. She holds a PhD from Monash University and prior degrees from Eötvös Loránd University and the University of Oslo. Her research focuses on understanding how subjective experience transforms under conditions like sleep deprivation, dissociation, and dreaming, employing EEG and neuroimaging techniques. She is affiliated with Tlab (Qualia Structure Research) and M3CS (Monash Mind Modelling and Computational Systems), contributing to interdisciplinary projects on consciousness and open science. Education: BSc Psychology (Eötvös Loránd University), MSc Cognitive Neuroscience (University of Oslo), PhD (Monash University) Her work bridges cognitive neuroscience, clinical research, and computational modelling. Recent studies include investigations into color perception, arousal mechanisms, and the neural basis of dissociative disorders. She actively participates in journal clubs and conferences, promoting collaborative research in consciousness science. Articles highlight her contributions to understanding color qualia structures, the role of cardiac activity in age-related neural signals, and the neurobiology of grief. Her work emphasizes interdisciplinary approaches, integrating experimental and computational methods.