جست‌وجوی استاد و پژوهشگر

• Machine Vision
• Computer Vision
• Deep Learning
• +۳ مورد دیگر

Melvyn L. Smith serves as Professor of Machine Vision and Director of the Centre for Machine Vision (CMV) at the University of the West of England (UWE), where he has held academic positions since completing his Ph.D. in 1997. His leadership extends to editorial roles for four international journals including Computers in Industry , and he contributes to national research strategy as a member of the EPSRC Peer Review College (since 2003) and NERC College (since 2020). His educational qualifications include: B.Eng. (Hons) in Mechanical Engineering from University of Bath (1987) M.Sc. in Robotics and Advanced Manufacturing Systems from Cranfield Institute of Technology (1988) Ph.D. from University of the West of England (1997) Professor Smith's research centers on machine vision and deep learning applications across diverse domains. He pioneers computer vision solutions for agricultural challenges including crop monitoring, plant phenotyping, and insect welfare assessment, while simultaneously advancing medical diagnostics through neuroimaging analysis for multiple sclerosis, diabetes prediction frameworks, and cardiac health studies. His work consistently bridges theoretical innovation with real-world deployment, evidenced by patents in photometric stereo imaging and optical devices for industrial applications. Analysis of his 15 most recent publications (2021-2025) reveals a strategic expansion into interdisciplinary problem-solving, with 60% focused on agricultural robotics and 30% on medical applications. Key methodological trends include convolutional neural networks for low-resolution image analysis, 3D reconstruction techniques for plant phenotyping, and machine learning frameworks for clinical diagnostics – all emphasizing robustness in uncontrolled environments. His scientific recognition includes: Fellow of the Institution of Engineering and Technology (FEIT) As Director of CMV, Professor Smith mentors early-career researchers and leads collaborations with InnovateUK and industry partners. His grant portfolio includes EPSRC-funded projects in machine vision for outdoor environments and NERC-supported environmental monitoring systems, with recent work securing patent protection for crop monitoring apparatus. He actively assesses research proposals for UKRI councils and advises government bodies on agricultural robotics strategy. The Centre for Machine Vision operates as a hub for cross-sector innovation, partnering with agri-tech firms on precision farming systems and healthcare providers on diagnostic imaging tools. Current initiatives include the EU-funded 'Agricultural Robotics' white paper implementation and development of contactless 3D biometric identification systems for transportation infrastructure.

• Socially Assistive Robotics
• Assistive Robotics
• Rehabilitation Robotics
• +۲ مورد دیگر

Marcela Munera is an Associate Professor in Assistive Robotics at the University of the West of England (UWE Bristol). Her research focuses on robotic devices for rehabilitation, human-robot interaction, biomechanics, and movement analysis, with a particular emphasis on user-centered design approaches. Bioengineer, Universidad de Antioquia (Colombia) MSc in Mechanics and Materials, Ecole Nationale de Metz (France) PhD in Mechanics and Biomechanics, Université de Reims Champagne Ardenne (France) Key research areas include socially assistive robotics, rehabilitation robotics, and biomechanical modeling. She has led projects involving exoskeletons, smart walkers, and wearable sensors, often integrating participatory design and multimodal feedback mechanisms. Her publications highlight interdisciplinary applications in neurological rehabilitation (e.g., stroke, Parkinson's disease), autism therapy, and occupational health. Recent work explores smart upper-limb exoskeletons for construction workers, stress classification via novel sensors, and adaptive control systems for mobility assistance. FEDER, Region Champagne Ardenne Doctoral Grant Her doctoral research focused on industrial biomechanical assessments for sports performance and injury prevention, later expanding to human-centered rehabilitation robotics. She has collaborated on projects involving brain-computer interfaces, serious games, and cloud robotics frameworks like PoundCloud.

Susanne Gerberمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Systems Biology
• +۲ مورد دیگر

Susanne Gerber is a Professor at iDNA and Adjunct Director at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz (JGU), affiliated with the Faculty of Biology's Bioinformatics department. Her academic journey includes an Assistant Professorship in Bioinformatics at JGU (2015-2020) and postdoctoral research at Università della Svizzera italiana. Her educational background comprises a PhD in Biophysics from Humboldt University of Berlin (2011), an M.Sc. in Bioinformatics from Free University of Berlin and Konrad Zuse Institute (2007), and a B.Sc. in Bioinformatics from Free University of Berlin and Max Planck Institute (2004). Dr. Gerber's research spans Bioinformatics, Computational Genomics, Systems Biology, Molecular Evolution, and Neuroinformatics , focusing on developing computational frameworks for genomic analysis, neurodegenerative disease modeling, and microbiome interactions. Her work integrates machine learning with multi-omics data to address complex biological questions in molecular evolution and neural systems. Analysis of her 15 most recent publications (2024-2025) reveals a strong emphasis on nanopore sequencing applications for RNA modification detection, deep learning frameworks for genomic data enhancement, and neurobehavioral modeling using AI-driven approaches. Key thematic clusters include epitranscriptomics, chromatin dynamics, and computational psychiatry with ethical AI considerations. Her methodological innovations include tools like COMET for network analysis, CCUT for chromatin data enhancement, and ModiDeC for RNA modification classification, demonstrating translational impact across genomics and neuroscience. Dr. Gerber leads research groups at IMB and iDNA focusing on computational genomics, advising students in bioinformatics and securing grants for AI-driven genomic analysis. Her labs develop open-source tools for nanopore data processing and neuroimaging analysis, fostering collaboration between computational and experimental biologists.

Kevin Frankowskiمشاهده پروفایل

استادیار

• Medicinal Chemistry
• Synthetic Chemistry
• Cancer Biology
• +۷ مورد دیگر

Kevin Frankowski, PhD, is an American Assistant Professor at the UNC School of Medicine and member of the UNC Lineberger Comprehensive Cancer Center . His research spans Medicinal Chemistry , Cancer Biology , and Neurotransmitter Signaling , focusing on developing small molecule tools for unmet medical needs. University : University of North Carolina at Chapel Hill Academic Rank : Assistant Professor Department : Molecular Therapeutics Area of Interest Research emphasizes metastatic cancer and CNS signaling , with key projects including: Antimetastatic agent metarrestin (in phase I trials for solid tumors) Dopamine/sigma receptor modulators for neurological disorders Natural product-inspired chemical synthesis for novel scaffolds Electrochemical oxidation methods for drug discovery Scientific awards include IBM/RJ Reynolds Faculty Development Award and multiple national poster prizes. Lab team members include Christiana Nnabuife, Feijun Wang, and Amber Kelley (now Assistant Professor at North Park University). Recent publications focus on dopamine receptor modulation and electrochemical synthesis in journals like JMC and Advanced Synthesis & Catalysis .

Changchun Zengمشاهده پروفایل

استاد

• Polymeric Materials
• Nanomaterials
• Composite Materials
• +۳ مورد دیگر

Changchun Zeng serves as Chair and Professor of Industrial and Manufacturing Engineering at the FAMU-FSU College of Engineering, a joint institution between Florida A&M University and Florida State University. His leadership spans academic administration and cutting-edge research in advanced materials science. He earned his Ph.D. from Ohio State University in 2004, establishing a foundation for his interdisciplinary work bridging polymer engineering and biomedical applications. His educational background underpins his innovative approach to materials design and manufacturing. Dr. Zeng's research centers on Polymeric Materials, Nanomaterials, and Composite Materials with pronounced emphasis on biomaterials for tissue engineering. His lab pioneers organoid-based models and extracellular vesicle technologies, developing auxetic scaffolds that regulate stem cell differentiation through mechanical and viscoelastic cues. Recent work integrates piezoresistive sensor design with neural and vascular applications, demonstrating translational potential for neuropathy treatments. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Extracellular vesicle engineering from blood vessel and brain organoids for anti-senescence and neuropathy applications; (2) Development of auxetic foams and scaffolds with precisely controlled mechanical properties for tissue regeneration; (3) Advanced piezoelectret sensors leveraging cyclic olefin copolymers for flexible electronics. These intersect biomaterials, stem cell biology, and polymer physics to address unmet needs in regenerative medicine. Dr. Zeng actively mentors graduate students in the Industrial and Manufacturing Engineering program, supervising research in bioreactor design, stem cell-material interactions, and advanced manufacturing processes. His laboratory secures continuous funding for projects spanning NSF and NIH domains, particularly in biomaterials development and organoid-based disease modeling. The research group operates state-of-the-art facilities for polymer processing, nanomaterial characterization, and 3D bioprinting. Current team efforts focus on vertical wheel bioreactors for extracellular vesicle production, surface-engineered scaffolds for spinal cord regeneration, and piezoresistive sensor arrays for neural monitoring.

Matthew F. Glasserمشاهده پروفایل

استادیار

• Neuroanatomy
• Connectomics
• Medical Image Analysis
• +۵ مورد دیگر

Matthew F. Glasser, MD, PhD is an Assistant Professor of Radiology at Washington University School of Medicine in St. Louis, affiliated with the Mallinckrodt Institute of Radiology (MIR) and the Computational Imaging Research Center (CIRC). He co-directs a brain imaging laboratory with David Van Essen, PhD, and serves as co-leader of the Adult Aging Brain Connectome (AABC) project's Informatics, Data Analysis, and Statistics Core (IDASC). Education: Undergraduate: Emory University Doctorate: Washington University School of Medicine in St. Louis Medical Degree: Washington University School of Medicine in St. Louis Residency: Diagnostic Radiology, Mallinckrodt Institute of Radiology Fellowship: Neuroradiology, Mallinckrodt Institute of Radiology Dr. Glasser's research focuses on neuroanatomy, connectomics, and medical image analysis. He is best known for his work mapping 180 areas of each human cerebral cortical hemisphere using multiple MRI modalities as part of the Human Connectome Project (HCP). His work involves developing techniques for cortical myelin mapping to identify brain areas and align maps across individuals. He continues this research through the Adult Aging Brain Connectome (AABC) project, which aims to uncover factors underlying vulnerability and resilience to late-life dementia. Dr. Glasser's publication record demonstrates a consistent focus on advancing brain imaging techniques and understanding brain connectivity. His work spans from foundational methods in the Human Connectome Project to applications in aging and neurological disorders. Recent publications show an expansion into clinical applications like speech neuroprosthetics and depression treatment, indicating how his fundamental research in brain mapping is translating into therapeutic innovations. Scientific Awards: 2021–2022 Highly Cited Researcher, Clarivate 2022 Roentgen Resident/Fellow Research Award, Radiological Society of North America 2022 Alpha Omega Alpha, Washington University School of Medicine 2018-2021 Highly Cited Researcher, Clarivate 2017 Hugh M. Wilson Award in Radiology, Mallinckrodt Institute 2016 Dennis Hallahan Fellowship for Outstanding Research 2016 Olin Medical Scientist Fellowship 2009 Pittsburgh Brain Connectivity Competition Winner 2008 Distinguished Young Scholar Award Dr. Glasser has been instrumental in securing significant research funding, most notably as a key contributor to the $30 million Human Connectome Project funded by the NIH. He currently co-leads the AABC's Informatics, Data Analysis, and Statistics Core. While the text doesn't specify his current advisees, his position as Assistant Professor and research leadership suggests he mentors graduate students and postdoctoral researchers in neuroimaging and connectomics. Dr. Glasser co-directs a brain imaging laboratory with David Van Essen that is now part of the Computational Imaging Research Center (CIRC). This laboratory has been central to the Human Connectome Project and its successor, the Adult Aging Brain Connectome project. The lab brings together expertise in neuroscience, radiology, computer science, and statistics to advance brain imaging methodologies and applications.

Artur Luczakمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Coding
• Cortical Dynamics
• +۲ مورد دیگر

Artur Luczak is a Professor of Neuroscience at the University of Lethbridge, where he has been a faculty member since 2009 and is affiliated with the Canadian Centre for Behavioural Neuroscience (CCBN). His research integrates experimental and theoretical approaches to study cortical dynamics and neural computation. PhD from Jagiellonian University, Poland MSc from Wroclaw University of Technology Dr. Luczak's research focuses on how neuronal populations process information through spontaneous and sensory-evoked activity. Key interests include metabolic constraints on neural coding, predictive processing in cortical networks, and the role of neural sequences in brain function. His work bridges computational modeling with electrophysiological data to uncover fundamental principles of neural organization. His publications from 2007-2022 reveal consistent exploration of spontaneous cortical activity patterns, with increasing emphasis on energy efficiency and machine learning-inspired neural algorithms. The 2022 Nature Machine Intelligence paper demonstrating how neurons optimize metabolic energy through activity prediction represents a paradigm shift in understanding neural learning mechanisms. Scientific Awards: Fellowship in the Netherlands Fellowship in France Fellowship in Italy Dr. Luczak has trained graduate students and postdoctoral fellows through CCBN's neuroscience programs, with research supported by national and international grants. His teaching portfolio includes computational neuroscience workshops, MATLAB programming courses, and core neuroscience curriculum. He leads a research group at the CCBN utilizing multidisciplinary approaches including in vivo electrophysiology, computational modeling, and behavioral analysis to investigate neural dynamics across multiple scales.

• Structural Biology
• Chemical Biology
• Cancer Therapeutics
• +۵ مورد دیگر

Alex Bullock is Professor of Structural and Chemical Biology at the University of Oxford, where he leads the Growth Factor Signalling and Ubiquitination research group. His multidisciplinary work bridges structural biology, chemical biology, and therapeutic development for cancer and rare diseases. He holds a PhD from the University of Cambridge and completed postdoctoral work at the University of Washington and Oxford, supported by a Wellcome Fellowship. His research focuses on: Disease-causing mutations in kinases (e.g., ALK2 in fibrodysplasia ossificans progressiva and brain tumors) E3 ubiquitin ligase neofunction (e.g., KBTBD4 in medulloblastoma) Development of PROTACs for targeted protein degradation Small-molecule inhibitors for undruggable targets He leads a phase 2 clinical trial for the ALK2 inhibitor saracatinib and collaborates globally with institutions including Stanford, Harvard, and the University of Edinburgh. His publications emphasize kinase inhibition, ubiquitin pathways, and structure-guided drug design, with recent work on KEAP1-Nrf2 inhibitors, E3 ligases, and chemical probes for kinases like CDKL5/GSK3. Awards include the Wellcome Fellowship . He engages with disease foundations (FOP Friends, Brain Tumour Charity) and public outreach.

Carsten Finkeمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroimmunology
• Memory Consolidation
• +۳ مورد دیگر

Prof. Dr. med. Carsten Finke is a professor specializing in cognitive neuroscience and neuroimmunology, with a focus on memory consolidation, spatial navigation, and autoimmune neurological disorders. His research employs neuroimaging and behavioral methods to investigate conditions like encephalitis, multiple sclerosis, and post-COVID cognitive deficits. Research Focus: His work spans three core areas: Memory Systems: Examining consolidation mechanisms (e.g., pharmacological modulation via propofol) and developmental trajectories of spatial/navigational memory. Neuroimmune Disorders: Characterizing cognitive outcomes and brain network reorganization in autoimmune encephalitis (anti-NMDA, anti-LGI1) and multiple sclerosis. Post-COVID Neurology: Identifying neural correlates of fatigue/cognitive impairment and contributing to large cohorts (NAPKON) for phenotyping acute/chronic morbidity. Publication Trends: Recent articles (2023–2025) emphasize: Dynamic brain network analysis in neuroinflammatory conditions Long-term cognitive sequelae of COVID-19 Multisensory influences on spatial memory Pediatric neuroimmunology (MOG-ADEM)

Blake Johnsonمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Motor Control
• Neuroimaging
• +۳ مورد دیگر

Blake Johnson is an Associate Professor and Honorary Professor at the School of Psychological Sciences, Macquarie University, affiliated with the Hearing CRC. His research focuses on brain mechanisms underlying perception, cognition, motor control, and mental imagery, utilizing advanced neuroimaging techniques like MEG and EEG. He leads projects investigating speech motor control in children with developmental disorders, such as Childhood Apraxia of Speech (CAS), and has pioneered methodologies combining MEG with speech tracking systems. Research Interests: Johnson's work spans cognitive neuroscience, neuroimaging, and developmental psychology. Key areas include speech production mechanisms, neural correlates of motor control, auditory processing abnormalities in disorders like stuttering and autism, and the application of MEG/EEG for understanding brain dynamics. His studies often integrate multimodal data to explore how neural activity coordinates with behavioral outcomes. Recent Projects: Active projects include investigating the neural origins of motor disorders in CAS (2022–2023) and developing MEG-articulography techniques for speech research (2016–2020). He collaborates internationally, focusing on brain mechanisms in speech motor control and developmental neuroplasticity. Articles Trends: His publications emphasize MEG/EEG applications in speech and motor systems, with recent work on beta-band rhythms in speech production, emotional distractor suppression, and lateralized linguistic processing. These studies highlight innovative methods for linking neural activity to behavioral and developmental outcomes. Grants & Collaborations: Leads 29 projects since 2008, including the Bio-semi EEG system (ongoing) and collaborations on childhood apraxia. His lab is part of the Hearing CRC, fostering translational research in auditory and speech neuroscience. Labs/Teams: Based at Macquarie’s School of Psychological Sciences, his team specializes in neuroimaging and developmental neuroscience, contributing to both fundamental and applied research in hearing and speech disorders.

Brendan S. Gillonمشاهده پروفایل

استاد

• Semantics
• Pragmatics
• Formal Methods in Linguistics
• +۴ مورد دیگر

Brendan S. Gillon is a Professor in the Department of Linguistics at McGill University, Montreal. His research focuses on semantics, pragmatics, and formal methods in linguistics, with notable contributions to the study of classical Indian logic and Sanskrit grammar. He holds a PhD in Philosophy from MIT (1984) and has taught at MIT, University of Alberta, University of Toronto, and McGill since 1991. His work bridges linguistics and philosophy, addressing topics like the semantics of noun phrases, context sensitivity, and cross-cultural language studies. Education: PhD in Philosophy (MIT, 1984), MA in East Asian Studies (University of Michigan, 1975), MA in Sanskrit/Indian Studies (University of Toronto, 1979) Fellowships: Senior Research Fellow at American Institute of Indian Studies (1986-1987), Numata Fellow at Ryokoku University (2006) Research interests include the semantics-pragmatics distinction, mass-count noun distinctions, and formal methods applied to syntax and semantics. Collaborations include projects on lexical semantics and brain-language interactions. He has advised numerous PhD students on topics ranging from comparative linguistics to historical theories of language. Publications span over 50 articles and edited volumes, including Semantics: A Reader (Oxford UP, 2004) and works on Dharmakīrti’s logic and classical Sanskrit grammar. His lectures have been delivered globally, emphasizing interdisciplinary connections between linguistics, philosophy, and cognitive science.

Pierre Rainvilleمشاهده پروفایل

استاد

• Pain Research
• Neuropsychology
• Hypnosis
• +۴ مورد دیگر

Pierre Rainville is a Full Professor in the Department of Stomatology at the Faculty of Dentistry, Université de Montréal, and a researcher at the Centre de Recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM). His research focuses on the neuropsychology of pain, particularly mechanisms involving hypnosis, neuroimaging, and psychological factors. He holds a PhD in Experimental Neuropsychology from Université de Montréal and a postdoctoral fellowship in Cognitive Neuroscience from the University of Iowa. Education: PhD (1998, Université de Montréal), Postdoc (2000, University of Iowa), Master’s and Bachelor’s degrees in Psychology and Biology from Université de Montréal. Research interests include pain modulation, neurophysiological mechanisms, and the role of hypnosis and artificial intelligence in pain management. He leads projects on pain communication, stress effects on pain, and personalized non-pharmacological interventions. Awards: Ernest R. Hilgard Award (2018), Prix Adrien-Pinard (2020), and multiple FRQS fellowships. Involved in networks like UNIQUE (Neuroscience & AI) and RSBO (Oral Health Research). Grants and collaborations include funding from CIHR, FRQNT, and NIH, focusing on pain biomarkers, AI-driven brain signatures, and interdisciplinary pain management. Supervised over 30 graduate students in pain research and related fields. Labs/Teams: CERNEC (Neuropsychology), CRIUGM, and UNIQUE network. Co-leads projects on hypnosis and VR for pain reduction in clinical settings.

Judith Paridaenمشاهده پروفایل

پژوهشگر

• Cell Biology
• Developmental Biology
• Neurosciences
• +۳ مورد دیگر

Dr. Judith Paridaen is a Scientific Coordinator at the CogniGron initiative within the Faculty of Science and Engineering at the University of Groningen. She holds a PhD from Utrecht University (2009) and completed postdoctoral research at the Max Planck Institute for Molecular Cell Biology and Genetics in Dresden. Her work focuses on neural stem cell biology , investigating how stem cells make division and fate decisions during brain development using zebrafish and mouse models. Research interests include: Asymmetric cell division mechanisms Role of subcellular structures (centrosomes, cilia) in neurogenesis Stem cell fate decisions in developing and adult tissues Single-cell genomics and lineage tracing techniques Key achievements include: Rosalind Franklin Fellowship (2016) NWO-Vidi Grant (2017) Member of Young Academy Groningen (2019) Teaching responsibilities include coordinating the Current Themes in Healthy Ageing course and supervising research projects in M.Sc. programs. Her lab actively seeks motivated students for collaborative research projects.

Grace J. Leeمشاهده پروفایل

دانشیار

• Clinical neuropsychology
• Cognitive aging
• Neurodegenerative disorders
• +۳ مورد دیگر

Grace J. Lee is an Associate Professor in the Department of Psychology at Loma Linda University. Her academic background includes a PhD in Clinical Psychology (Fuller Graduate School of Psychology, 2009) and a MA in Theology (Fuller Theological Seminary, 2009). She specializes in clinical neuropsychology, cognitive aging, neurodegenerative disorders, and neuroimaging correlates of cognition and behavior. Her research focuses on the intersection of nutrition, cognitive function, and aging, with notable contributions on omega-3 fatty acids, egg consumption, and vegetarian dietary patterns in elderly populations. Dr. Lee is a licensed clinical psychologist in California and a member of the International Neuropsychological Society (INS). Her recent work examines how dietary interventions (e.g., omega-3s, walnuts) influence brain structure and cognitive performance in healthy aging. Collaborative studies with the Adventist Health Study-2 highlight her interest in lifestyle factors impacting aging populations. Presentations at conferences like the International Neuropsychological Society and the American Psychological Association showcase her active involvement in advancing neuropsychological research. Key themes in her publications include neuroimaging biomarkers, blood-brain barrier integrity, and the protective effects of dietary components against cognitive decline. Her interdisciplinary approach bridges clinical psychology, neuroscience, and nutritional science to address aging-related cognitive challenges.

Lin Fangمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Affective Science
• Neuroscience
• +۳ مورد دیگر

Lin Fang is an Associate Professor in the Department of Psychological Science at Northern Michigan University, co-director of the Cognitive x Affective Behavior & Integrative Neuroscience (CABIN) Lab, and holds a Ph.D. from Ghent University (Belgium). Her research integrates behavioral measurement, eye-tracking, EEG/ERP, and neuroimaging to investigate cognitive and affective vulnerabilities to depression/anxiety, interactions between cognitive control and emotion regulation, and user experience (UX) research. She frequently collaborates with Joshua M Carlson and other experts in psychology and neuroscience. Her recent work in 2025-2024 emphasizes climate change attention, neural correlates of climate anxiety, and pro-environmentalism. Earlier studies (2022-2023) explore attentional bias variability, neuroplasticity, and the relationship between gray matter structure and anxiety-related cognitive processes. Her methodologies span multimodal neuroscience (fMRI, EEG) and experimental psychology (dot-probe task, eye-tracking). The CABIN Lab, where she co-leads, actively shares updates via Facebook and Instagram pages. Her personal interests include playing Animal Crossing, Euchre, crocheting, and listening to podcasts.