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Kongfatt Wong-LinView profile

Professor

• Computational Neuroscience
• Machine Intelligence
• Cognitive Neuroscience
• +5 more

Professor Kongfatt Wong-Lin is a Professor of Computational Neuroscience and Machine Intelligence at the School of Computing, Engineering and Intelligent Systems, Ulster University. He is based at the Intelligent Systems Research Centre (ISRC) at the Magee Campus in Derry~Londonderry, where he conducts cutting-edge research at the intersection of computational modeling, neuroscience, and artificial intelligence. His research interests span computational modeling of neural systems, cognitive neuroscience, cognitive psychology, brain disorders, neural computation and engineering, artificial intelligence, and data science. Professor Wong-Lin is a member of the UK EPSRC Peer Review College and a Fellow of the Higher Education Academy, reflecting his significant contributions to both research and education. Professor Wong-Lin's research output reveals a consistent focus on computational neuroscience, particularly in understanding decision-making processes, neural circuits, and applications to dementia diagnosis. His work combines theoretical modeling approaches with practical healthcare applications, most notably developing AI and machine learning algorithms to streamline dementia diagnoses and improve patient care pathways. Scientific awards include: Ulster University's Distinguished Research Fellowship Award (2016) Ulster University Research Excellence Award (2019) International Joint Conference on Neural Networks (IJCNN) Best Paper Award (2011) 3rd Best Poster Award, IEEE-EMBS International Summer School (2015) Best Poster Award, Translational Medicine Conference (2015) Professor Wong-Lin leads multiple significant research projects, including ALCOME (focusing on acoustic and linguistic markers of cognitive decline in dementia), 'Uncovering the neural architecture underlying decisions abstracted from movements' (2021-2026), and developing a Brain-Computer Interface driven Mental Fatigue Monitoring System for stroke rehabilitation therapy. In 2021, he founded the international ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI School, establishing a platform for global collaboration in these fields. His academic journey includes a Ph.D. in Physics with focus on Computational Neuroscience from Brandeis University, postdoctoral work at Princeton University, and previous degrees from the National University of Singapore. Professor Wong-Lin maintains active collaborations with institutions worldwide, including visiting fellowships at the University of Galway and University of Oxford.

• Biomedical Engineering
• Neuroinformatics
• Neuroscience
• +3 more

Sławomir Kotyra, M.A., is a Lecturer at the Department of Neuroinformatics and Biomedical Engineering under the Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University (UMCS). His academic profile includes research in biomedical signal processing and neuroinformatics. Department: Neuroinformatics and Biomedical Engineering School: Mathematics, Physics and Computer Science Email: slawomir.kotyra@mail.umcs.pl Research interests focus on neurofeedback systems , EEG signal analysis , and SSVEP (Steady-State Visually Evoked Potentials) with applications in human-animal interaction and neural response measurement. His work spans hardware-software integration for Linux-based biomedical systems and data acquisition protocols. His publications address EEG in animal behavior studies , synchronized signal processing , and Linux-compatible neurophysiological software . Key themes include signal analysis, brain-computer interfaces (BCI), and comparative neurophysiology between trained/untrained dogs.

• Neuroinformatics
• Biomedical Engineering
• Cognitive Neuroscience
• +2 more

Bernadetta Bartosik serves as an Assistant Professor in the Department of Neuroinformatics and Biomedical Engineering at Maria Curie-Skłodowska University (UMCS) within the Faculty of Mathematics, Physics and Computer Science. Her academic affiliation places her at the intersection of computer science, neuroscience, and biomedical applications, with her office located in room 511 of the Institute of Computer Science. Dr. Bartosik's research interests span neuroinformatics and biomedical engineering with particular focus on EEG analysis, brain-computer interfaces, and cognitive processes. Her work investigates cortical activity patterns related to social cognition, trust assessment, attractiveness judgment, and cognitive impairments such as post-COVID brain fog. She employs advanced methodologies including ERP analysis, machine learning algorithms, and neural network approaches to decode brain activity and understand human cognitive processes. Analysis of her recent publications (2019-2023) reveals a strong research trajectory in cognitive neuroscience with applications to real-world problems. Her work demonstrates expertise in both theoretical computational approaches and clinical applications, particularly in understanding how brain activity correlates with social judgments and cognitive impairments. The research shows consistent methodological rigor with emphasis on EEG signal processing, classification algorithms, and neural decoding techniques. Dr. Bartosik maintains active academic engagement through regular consultations for students, currently scheduled for the 2024/2025 summer semester with stationary sessions on Mondays from 10:00-12:00 and individual Teams appointments. Her scholarly contributions are tracked through ORCID (0000-0002-7228-452X) and various academic databases including Google Scholar, Scopus, and Web of Science, with documented metrics including an h-index of 2 (Web of Science), Total Impact Factor of 6.673, and a Total ministerial score of 260.

John Bush IdokoView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Signal Processing
• +2 more

John Bush Idoko is an Assistant Professor in the Computer Engineering Department at Near East University, North Cyprus. He earned his BSc in Computer Science from Benue State University, Nigeria (2010), followed by MSc (2017) and PhD (2020) in Computer Engineering at Near East University. His research focuses on machine learning , computer vision , and signal processing , with applications in IoT systems , healthcare devices , and smart infrastructure . He has contributed to 15 recent publications spanning topics such as UAV routing protocols, image encryption, and medical prosthetics. BSc: Computer Science, Benue State University (2010) MSc: Computer Engineering, Near East University (2017) PhD: Computer Engineering, Near East University (2020) His work emphasizes deep learning optimization , chaotic encryption , and intelligent sensor networks . Recent projects include IoT-based infant monitoring, sleep apnea detection, and voice-controlled prosthetics. He is affiliated with the Applied Artificial Intelligence Research Centre and leads the Cyber Security Engineering Department.

• Materials Engineering
• Nanotechnology
• Semiconductor Technology
• +5 more

Prof Francesca Iacopi is an Adjunct Professor at the Faculty of Engineering & Information Technology , University of Technology Sydney (UTS). She also holds an adjunct position at Purdue University, IN, USA, and serves as Imec Fellow & Director of the Indiana R&D Center for Imec USA. With a PhD in Electrical Engineering/Materials Science from Katholieke Universiteit Leuven (2004) and MSc in Physics (1996) from Sapienza University of Rome, she has 20+ years of leadership in semiconductor R&D and academic innovation. IEEE Fellow & Elected Board of Governors Member (2021-2026) Inaugural Editor-in-Chief, IEEE Transactions on Materials for Electron Devices Chief Investigator & Industry Liaison Chair, ARC Centre of Excellence for Transformative Meta-Optical Systems Research Focus spans graphene electronics , additive manufacturing for microwave components , and energy-efficient nanodevice design . Her work bridges semiconductor industry experience (GlobalFoundries, IMEC) with academic breakthroughs in epitaxial graphene integration , nanoscale thermal emitters , and brain-machine interface sensors . Key Trends in her recent publications: 3D-printed metasurfaces for wireless communication, Fermi level tuning in graphene devices, and high-temperature operando characterization of graphene growth mechanisms. These align with her broader vision of multi-functionality on silicon platforms. Scientific Recognition : Australian Research Council Future Fellowship (2012-2016) Gold Graduate Student Award (2003, Materials Research Society) Global Innovation Award (2014) IEEE Fellowship (2024) Leadership & Education : Founded UTS's Bachelor of Engineering (Hons) Major in Electronics. Serves on UTS Academic Board (2021) and leads the Integrated Nano Systems Lab . Her teaching spans semiconductor physics, nanofabrication, and IoT component design, emphasizing cross-domain integration of CMOS, photonics, and energy storage systems.

• Auditory Working Memory
• Neural Mechanisms of Imagination
• Neuroscience of Music
• +5 more

David Ricardo Quiroga Martinez is a Postdoctoral Researcher in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences. His research focuses on the neural mechanisms underlying auditory working memory and musical imagination using intracranial EEG and MEG techniques. He investigates how the brain represents and manipulates sounds during perception and imagination, with applications for understanding psychiatric disorders and brain-computer interfaces. His research interests span Auditory Working Memory , Neural Mechanisms of Imagination , Neuroscience of Music , and Reward Coding . He employs invasive and non-invasive neuroimaging to study how musical sequences are processed in the brain, examining temporal hierarchies in predictive processing from pure tones to complex songs. His work bridges cognitive neuroscience, computational modeling, and clinical applications. Key publications reveal trends in neural representation of musical thoughts (2024), asymmetric reward prediction coding (2023), and temporal hierarchies in melody processing (2023). His research consistently explores how musical structure, predictability, and expertise shape neural responses, with implications for understanding disorders involving auditory imagery abnormalities. Reintegration Fellowship from the Carlsberg Foundation: The representation of musical thoughts in neurons of the human brain International Postdoc from DFF: The neural basis of musical imagination His collaborative network spans international institutions, with significant work on congenital amusia, atonal music processing, and neural gain modulation. Current projects involve decoding imagined musical sounds and investigating reward prediction errors in cortical networks, supported by major Danish research foundations.

T. Dorina PapageorgiouView profile

Assistant Professor

• Neuroimaging
• Brain-Computer Interface
• Neurorehabilitation
• +7 more

T. Dorina Papageorgiou is an Assistant Professor at Baylor College of Medicine , with cross-appointments in Psychiatry & Behavioral Sciences , Neuroscience , Physical Medicine & Rehabilitation , and the Graduate School of Biomedical Sciences (Quantitative & Computational Biosciences). She also holds an Adjunct Assistant Professor position in Electrical & Computer Engineering at Rice University . Education: PhD in Biomedical Engineering from University of Texas MD Anderson Cancer Center MHSc in Health Sciences from Johns Hopkins Bloomberg School of Public Health BA in Psychology from University of Georgia Internships at University of Maryland and Baylor College of Medicine Postdoctoral Fellowships at MD Anderson and Baylor College of Medicine Research Focus: Dr. Papageorgiou's work centers on neuroimaging and brain-computer interfaces (BCI) to study adaptive plasticity in neurological conditions. Her lab develops iRTfMRI nFb (individualized real-time fMRI neurofeedback) to bypass lesioned pathways in patients with cortical blindness , speech impairments , and chronic pain . This approach leverages machine learning and MR-compatible EEG to analyze spatiotemporal brain relationships. Publications: Her research spans functional MRI optimization , neurorehabilitation , and computational neuroscience , with key contributions to visual cortex plasticity , speech rate control , and pain matrix network analysis . She also edited the comprehensive volume Advanced Brain Neuroimaging Topics in Health and Disease - Methods and Applications (2014). Scientific Awards: Fellow of the American Academy of Nursing (FAAN) Aurelia Murphy Killian Endowment In Public Health Labs & Teams: She leads the Investigational Targeted Brain Neurotherapeutics Laboratory at Baylor, supported by the McNair Medical Institute . The lab focuses on neuroimaging and computational modeling to advance neurofeedback interventions for stroke and traumatic brain injury.

• Computational Neuroscience
• Biophysics
• Neural Networks
• +6 more

Professor Gaute T. Einevoll is affiliated with the Department of Physics at both the University of Oslo and the Norwegian University of Life Sciences (NMBU) . His research focuses on computational neuroscience , integrating methods from physics, mathematics, and computer science to understand neural mechanisms underlying biological intelligence. Key areas: Neural network modeling , brain signal analysis (EEG, MEG, LFP), computational psychiatry Leadership roles: Co-leader of Norwegian node of INCF since 2007; Partner in EU Human Brain Project since 2013 His recent work explores topological neural representations , GABAB receptor signaling , and ultra-high density electrode technology , as evidenced by publications in 2024-2025. He also develops open-source tools like LFPy and Uncertainpy for biophysical modeling. Active in science communication, he hosts the podcast "Vett og vitenskap med Gaute Einevoll" , discussing neuroscience and related disciplines.

Yongho BaeView profile

Associate Professor

• Cell Mechanics
• Mechanotransduction
• Cardiovascular Biology
• +12 more

Yongho Bae, PhD, is an Associate Professor in the Department of Pathology and Anatomical Sciences at the Jacobs School of Medicine & Biomedical Sciences, University at Buffalo. He is also an Affiliated Associate Professor in the Department of Biomedical Engineering and an affiliate of the NSF Science and Technology Center for Engineering MechanoBiology. His research bridges cell biology, bioengineering, and mechanomedicine, with a focus on how mechanical forces regulate cellular function in health and disease. Department: Pathology and Anatomical Sciences School: Jacobs School of Medicine & Biomedical Sciences University: University at Buffalo Affiliation: Biomedical Engineering (Affiliated Associate Professor) NSF Science and Technology Center for Engineering MechanoBiology (Affiliate Faculty) Education: PhD, Bioengineering, University of Pittsburgh (2010) MS, Chemical and Biochemical Engineering, Rutgers University (2005) BS, Biotechnology, Ajou University (1998) Dr. Bae's research centers on cell mechanics and mechanotransduction , particularly in cardiovascular biology and stem cell regulation. His work investigates how extracellular matrix stiffness influences vascular smooth muscle cell (VSMC) behavior in diseases like atherosclerosis and arterial stiffness. He employs advanced techniques including atomic force microscopy, traction force microscopy, optogenetics, and machine learning to study cellular responses. His lab also develops nanophotonic platforms to control stem cell differentiation using light, offering non-invasive strategies for regenerative medicine. His recent publications reveal a strong trend in understanding Survivin (BIRC5) as a central mediator of stiffness-induced cell proliferation, motility, and ECM remodeling in VSMCs. He also explores lamellipodin , FAK , and Rac signaling in mechanosensitive pathways. His work integrates transcriptomics, computational modeling, and high-resolution imaging to decode mechanobiological networks. Scientific Awards: Excellence in Mentoring Award for Research (2025) Louis Sklarow Award (2025) Professional Development Award (2023) LeapRx Drug Discovery Incubator Program Award (2022) Buffalo Blue Sky Silver Coin (2019) American Heart Association Career Development Award (2018) Eugene Mindell & Harold Brody Clinical Translational Research Award (2017) Cell and Molecular Bioengineering Meeting: Fellow Travel Award (2015) American Heart Association Postdoctoral Fellowship (2013) Dr. Bae actively mentors students and has served as a faculty mentor for undergraduate research programs. He has been the Principal Investigator on multiple NIH, NSF, and industry-funded grants, including projects on corneal endothelium, vascular matrix, and drug discovery for arterial stiffening. He is also a co-PI on NSF-funded collaborative research in neuronal network programming. His lab, the Bae Mechanobiology and Mechanomedicine Laboratory, focuses on translating mechanistic insights into therapeutic strategies. He serves on editorial boards and as a peer reviewer for journals such as APL Bioengineering , Scientific Reports , and Cellular and Molecular Bioengineering , and is involved in faculty governance and admissions committees.

• Neuroscience
• Neurorehabilitation
• Movement Disorders
• +3 more

Lisa Graham is a researcher at Northumbria University's Department of Sport Exercise and Rehabilitation , focusing on neuroscience and neurorehabilitation. Her work bridges biomedical engineering with clinical applications in movement disorders. Research Areas: Parkinson's Disease, Gait Analysis, Eye Movement, Wearable Technology, Neurological Biomarkers Collaborators: Stuart, Morris, Godfrey, Vitório, Walker Her recent publications highlight digital biomarkers for neurological conditions and wearable sensor barriers . She contributes to neurorehabilitation through clinical trials and systematic reviews. Notable trends include eye-tracking innovations and personalized gait interventions using blazepose technology. She co-authored works on cognitive-motor interactions in Parkinson's, with implications for fall prevention and freezing of gait.

Robert BurdukView profile

Professor

• Artificial Intelligence
• Machine Learning
• Supervised Classification
• +3 more

Prof. Robert Burduk is a full-time professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , specializing in artificial intelligence and machine learning. His research focuses on supervised classification, ensemble learning, and decision support systems with applications in photovoltaic energy forecasting, insect rearing monitoring, and software bug assignment. Key research areas: Artificial Intelligence, Machine Learning, Business Intelligence Department: Systems and Computer Networks Recent Publications (2024-2023): Burduk's work addresses classifier fusion, photovoltaic power optimization, and agricultural monitoring using advanced AI techniques like convolutional neural networks and domain shift detection. Notable themes include ensemble learning strategies, energy system modeling, and interdisciplinary applications.

Jamie PaikView profile

Professor

• Soft Robotics
• Origami Robotics
• Wearable Technologies
• +4 more

Prof. Jamie Paik is a Full Professor at the Swiss Federal Institute of Technology (EPFL), where she serves as Director of the Reconfigurable Robotics Lab (RRL) and is a core member of the Swiss NCCR robotics group. She holds multiple academic appointments across EPFL's School of Engineering, including positions in the Institute of Mechanical Engineering (IGM), STI-SMT SMT-ENS, and STI-SGM SGM-ENS. Additionally, she serves as a PhD program committee member for the Doctoral Program in Robotics, Control and Intelligent Systems. Her research focuses primarily on soft robotics , origami-inspired robotics , and wearable technologies . Prof. Paik's work leverages multi-material fabrication and smart material actuation to develop novel robotic designs that push the physical limits of materials and mechanisms. Her current research includes self-morphing Robogami (robotic origami) that transforms from planar shapes to 2D or 3D structures through predefined folding patterns, similar to traditional paper origami. Prof. Paik has published extensively on robotic origami, haptic feedback systems, and soft actuators, with her most recent work (2024-2025) focusing on vibration of soft twisted beams for locomotion, semi-autonomous surgical assistance, plug-and-play pneumatic systems, and data-driven kinematic modeling. Her research demonstrates a clear trajectory toward more adaptive, reconfigurable robotic systems with applications in surgery, human-robot interaction, and wearable technologies. Among her notable achievements, she developed a 7-DoF humanoid arm during her PhD at Seoul National University (sponsored by Samsung Electronics), which was the lightest in literature at that time (3.7kg including the 8-DoF hand). During postdoctoral work at Pierre Marie Curie University, she developed the internationally patented JAiMY laparoscopic tools now commercialized by Endocontrol-medical.com. PhD: Seoul National University (Humanoid Arm and Hand Design) Postdoc: Institut des Systems Intelligents et de Robotic, Université Pierre Marie Curie Postdoc: Harvard University's Microrobotics Laboratory Prof. Paik has supervised numerous PhD students, both current and past, including Bakir Alihan, Demirtas Serhat, Jiang Shaopeng, Kanno Ryo, Schüssler Alexander Michael, and Wang Ziqiao. Her teaching includes Topics in Autonomous Robotics, Mechanical Product Design and Development, and Advanced Design for Sustainable Future.

Ronan BoulicView profile

Researcher

• Virtual Reality
• Human-Computer Interaction
• Computer Graphics
• +10 more

Ronan Boulic is a Senior Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Computer and Communication Sciences. He leads the Immersive Interaction (IIG) research group and serves as a Senior Scientist in multiple departments including IC-SIN, IC-SSC, and GR-SCI-IC. His work focuses on motion synthesis for virtual humans and robots, human movement modeling, inverse kinematics, and immersive 3D interactions in virtual environments, with applications in virtual prototyping, gaming, ergonomics, and biomedical simulations. PhD in Computer Science (1986) from University of Rennes, France Habilitation (1995) from University of Grenoble, France Research interests include: Embodiment in Virtual Reality Human Movement Modeling and Optimization Motion Capture and Real-Time 3D Interaction Avatar Emotion Expression and Synchronization Cybersickness Detection and Mitigation Collision Detection and Inverse Kinematics His recent publications (2023-2025) emphasize cybersickness frameworks, avatar embodiment, and real-time motion control. He has supervised over 15 PhD candidates, including Nana Tian (2023) and Thibault Porssut (2021), and collaborates with the EPFL Cognitive Neuroscience Laboratory (LNCO). Teaching includes foundational Computer Science (ICC), Programming, and Software Engineering to first-year students. He is also a member of the PhD program committee for Robotics, Control, and Intelligent Systems at EPFL.

Samuel MugoView profile

Professor

• Analytical Chemistry
• Nanotechnology
• Responsive Polymer Hydrogels
• +4 more

Dr. Samuel Mugo is a Professor in the Department of Physical Sciences at MacEwan University. Holding a PhD in Analytical Chemistry from Memorial University and a B.Sc. from Jomo Kenyatta University of Agriculture and Technology (Kenya), he has been at MacEwan since 2008. His roles include teaching analytical chemistry, industrial chemistry, and independent research courses, alongside serving as Associate Dean, Development. Research focuses on smart polymer nanomaterials for frugal point-of-need (PON) chemical sensing, integrating data analytics apps into mobile sensors for agri-food/environmental monitoring and non-invasive mental health wearables. He emphasizes technology translation from lab to industry and community impact, actively engaging undergraduates as knowledge co-creators. NSERC Discovery Development Grant (2022-2024) Alberta Newcomers Recognition Award (2022) Alberta Innovates Smart Agriculture Grant (2020-2022) MacEwan Distinguished Research Award (2021) NSERC-Discovery Grant (2016-2021) MacEwan Distinguished Teaching Award (2020) His 15 most recent publications highlight advancements in microneedle sensors for metabolite detection, wearable sweat diagnostics, and hybrid polymer systems. Keywords span Analytical Chemistry , Wearable Technology , Environmental Monitoring , and Biomedical Engineering , with subfields including Molecular Imprinting , Smart Hydrogels , Neurochemical Sensing , Green Chemistry , Mobile Health Apps , and Agri-food Analytics . As Vice Chair of the Canadian Society of Chemistry-Analytical Division and a grant adjudicator for the New York Carnegie African Diaspora Fellowship Program, Dr. Mugo bridges academia with global initiatives. His work emphasizes knowledge translation ecosystems to address societal challenges through citizen science and industry partnerships.

• Systems Neuroscience
• Neurophysiology
• Sensory Systems
• +9 more

Brice Bathellier is a Research Director and team leader at the Institut Pasteur in Paris, where he heads the Neural Code in the Auditory System group within the Hearing Institute – Pasteur Institute Center . His research integrates advanced experimental and computational approaches to investigate auditory perception and neural coding in the mammalian brain. He is also a co-organizer of the international Pasteur Course Hearing: from mechanisms to restoration technologies (HeaR) , aimed at Master’s and PhD students, clinicians, and hearing professionals. His research interests lie at the intersection of systems neuroscience , neurophysiology , and sensory systems , with a primary focus on the auditory system. His team uses two-photon calcium imaging , multichannel electrophysiology , optogenetics , and behavioral analysis to study how sound representations are formed, manipulated, and integrated with other sensory modalities in the brain. Key projects include decoding nonlinear operations in auditory perception, generating artificial auditory percepts via optogenetic stimulation, modeling reinforcement learning in sensory discrimination, and exploring multisensory interactions between auditory, visual, tactile, and olfactory systems. The team's recent publications reveal a strong interdisciplinary trend, combining in vivo neuroscience , computational modeling , and behavioral neuroscience . Themes include neural coding of sensory identity, cortical dynamics during learning and memory, cross-modal integration, and the impact of network architecture on perception. The work spans molecular, cellular, and systems levels, with applications in understanding brain function and potential neuroprosthetic technologies. Brice Bathellier supervises several PhD students and postdoctoral researchers, indicating an active mentoring role. His team is part of broader institutional initiatives on brain connectivity and neurodegenerative diseases, suggesting involvement in collaborative, cross-functional research projects. While specific grant details are not mentioned, the scope and technical sophistication of the work imply significant research funding. The team is embedded within the Hearing Institute, a multidisciplinary center focused on progressive sensory deficits, pathophysiology, and therapy.