جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Neuroimaging
• Cerebrovascular Disease
• +۳ مورد دیگر

Dr. Joana Pinto is a Senior Research Associate at the University of Oxford's Department of Biomedical Engineering and a member of St Peter's College. She holds roles as Principal Investigator of the Maternal Brain Project and founder of the Women’s Health Book Club. Previously, she was a Postdoctoral Researcher in Professor Daniel Bulte’s group (2020–2023) and a Junior Research Fellow at Kellogg College (2021–2024). Education: PhD in Biomedical Engineering, University of Lisbon (2019) MSc and BSc (degrees unspecified) Research Interests: Non-invasive neuroimaging techniques for cerebrovascular disease biomarkers Maternal brain dynamics using advanced MRI Integration of cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) metrics Her work bridges clinical MRI applications and women’s health, particularly pregnancy’s neurological impacts. Key Projects: Maternal Brain Project (Funders: ARUK Thames Valley, Wellcome Centre, John Fell Fund) Eye-Brain Project (EPSRC-funded) Awards: Early Career Fellowship (ESMRMB, 2021) Junior Fellowship (ISMRM, 2023) Premio Príncipe da Beira (2023) Grants & Leadership: Lead researcher in multi-funder maternal health initiatives Collaborator on EPSRC neuroimaging projects Lab Affiliations: Biomedical Image Analysis Group Maternal Brain Project team

Kim Curbyمشاهده پروفایل

دانشیار

• Visual Cognition
• Face Perception
• Perceptual Expertise
• +۲ مورد دیگر

Dr. Kim Curby is Associate Professor in Macquarie University's School of Psychological Sciences, specializing in visual cognition and perceptual expertise. With PhD from Vanderbilt University and postdoctoral training at Yale, she directs research on face perception, visual learning, and expertise development through the Perception in Action Research Centre (PARC). Research Focus: Holistic face processing mechanisms; impact of anxiety on visual perception; expertise in medical/security domains (e.g., pathologists, lifeguards); emotion-attention interactions; and applied training solutions. Funding: Holds multiple ARC grants including a Discovery Project on attentional Gestalt framework and Linkage Project on VR training for lifeguards. Publications: Recent work examines other-race effect modulation, emotion-color interactions, VR training efficacy, and individual differences in perceptual tasks. Teaching: Cognition and perception courses across undergraduate and postgraduate programs.

• Evolutionary Biology
• Ecology
• Animal Behavior
• +۵ مورد دیگر

Jason M. Kamilar is a Professor of Anthropology at the University of Massachusetts Amherst, where he leads the Comparative Primatology Lab. His research focuses on understanding how ecology and evolutionary history shape primate diversity, employing quantitative techniques such as phylogenetic comparative methods, GIS, and molecular data analysis. He holds a BS & BA from Arizona State University (1999) and a PhD from Stony Brook University (2006). Key research areas include primate behavior, evolutionary biology, and ecological modeling. His work often involves interdisciplinary collaborations, such as studies on Kinda baboon social systems and the evolutionary ecology of primate hair coloration. Recent publications highlight topics like mammalian diel activity patterns and gene expression in primate visual cortices. Kamilar advises students including Dr. Anna Weyher (PhD 2023-2024), Laura Haynes, and Ally Schmidt. His lab supports diversity initiatives and adheres to UMass’s commitment to inclusion. He contributes to graduate programs in anthropology and organismic & evolutionary biology, shaping curricula and mentoring future scholars. Education: BS & BA, Arizona State University, 1999 PhD, Stony Brook University, 2006 Awards & Funding: Supports lab research through grants and fellowships, including REAL Fellowships and dissertation awards.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Benjamin Volmer is a Lecturer at the UniSA STEM division of the University of South Australia. His research focuses on cognitive load reduction in augmented reality (AR) and virtual reality (VR) environments through predictive cue design, human-computer interaction (HCI), and neural response analysis using electroencephalography (EEG). Current Lecturer at University of South Australia Research Degree Supervisor Member of Wearable Computer Lab Collaborator with international institutions Research Trends: Recent publications analyze incongruent information processing in AR systems, multi-level precueing for procedural tasks, and brain-computer interface (BCI) applications in immersive environments. His work demonstrates how EEG metrics and ERP components (e.g., N400, P600) can optimize AR/VR interfaces. Grants: Supported by Australian Research Council (ARC DP180100755) and TU Graz Open Access Publishing Fund. Collaborative efforts span institutions including Columbia University, University of Tokyo, and Keio University. Labs & Collaborations: Affiliated with the Wearable Computer Lab and Australian Research Centre for Interactive and Virtual Environments at the University of South Australia. International partnerships include Graz University of Technology, Columbia University, and Keio University.

Ian Duncanمشاهده پروفایل

استاد

• Developmental Biology
• Genetics
• Molecular Biology
• +۳ مورد دیگر

Ian Duncan is a Professor of Biology at Washington University, affiliated with the Department of Biology. His research focuses on understanding segmental patterning in Drosophila, particularly the developmental mechanisms governing antennal segment identity and body segment differentiation. His work explores the genetic regulation of morphological diversity, with a strong emphasis on the spineless (ss) gene and its role in developmental processes. Research interests include the molecular basis of antennal specification, the evolution of gene functions across arthropods and vertebrates, and the regulation of patterning within abdominal segments. His lab integrates genetic, molecular, and evolutionary approaches to study developmental pathways such as Hox gene regulation and signaling interactions (e.g., Wingless, Dpp, EGFR). Recent publications highlight studies on mitochondrial function, metamorphosis control via steroid response genes, and the stochastic expression of spineless in retinal cells. His work bridges basic developmental biology with evolutionary insights, particularly in understanding conserved and divergent genetic mechanisms. He teaches courses such as Developmental Biology, covering topics like cell signaling in model organisms, vertebrate development, and stem cell biology. His lab is located in McDonnell Hall, and he can be reached via duncan@wustl.edu.

Simon Alfordمشاهده پروفایل

استاد

• Neuroscience
• Neurodevelopment
• Neurodegeneration
• +۴ مورد دیگر

Simon Alford is a Professor and Head of the Department of Anatomy and Cell Biology at the University of Illinois College of Medicine. His research focuses on synaptic function and signaling pathways in the nervous system, with particular emphasis on neurodegeneration, synaptic vesicle trafficking, and the blood brain barrier. He leads the Alford Lab, which employs advanced imaging and electrophysiological techniques to study mechanisms underlying neurotransmission and behavior. His work bridges cellular and molecular neuroscience with clinical applications, contributing to understanding disorders like Alzheimer's and Parkinson's. Key research areas include synaptic plasticity, G-protein signaling in presynaptic inhibition, and the role of SNARE proteins in exocytosis. His lab collaborates with interdisciplinary teams, utilizing cutting-edge technologies such as lattice light-sheet microscopy and incoherent holography for subcellular imaging. Dr. Alford's contributions have advanced methodologies in neuroimaging and elucidated fundamental aspects of neuronal communication.

• Electronics Technology
• Biomedical Engineering
• Human-Machine Interfaces
• +۳ مورد دیگر

José Luis Martín Sánchez is an Associate Professor at the University of Alcalá's Department of Electronics. He holds a Doctorate from the same institution with a thesis on EEG-based human-machine interface design (2017). His research focuses on intelligent systems integration in healthcare, robotics, and accessibility technologies. He leads the GEINTRA research group specializing in electronic engineering applications for smart spaces and transport. His work spans biomedical signal processing, assistive technologies, and telemedicine solutions. Education PhD in Electronics, Universidad de Alcalá (2017) Research Interests His primary areas include human-machine interfaces using EEG signals, robotic mobility solutions (e.g., BCI-controlled wheelchairs), and smart infrastructure design. He develops text-based telephony systems for the deaf community and machine learning models for language prediction in Portuguese and Spanish. His work bridges signal processing with practical applications in healthcare and accessibility. Publications Trends His articles emphasize interdisciplinary approaches combining electronics engineering with healthcare applications. Recent work focuses on balance assessment technologies for ADL monitoring (2023), glaucoma diagnostics via ERG analysis (2015), and BCI improvements for robotic navigation (2010-2005). Earlier contributions address text prediction systems, accessibility services, and multi-object tracking algorithms. Labs/Teams He directs the GEINTRA group, which develops smart space technologies and transport solutions. Collaborations include telemedicine systems and assistive robotics projects.

• Public Health
• Social Determinants of Health
• Health Disparities
• +۴ مورد دیگر

Marcus Andrews is a Professorial Lecturer (Part-Time) in the Department of Sociology at the Columbian College of Arts and Sciences , George Washington University. His research focuses on the intersection of social environments, health disparities, and cardiovascular disease risk. He teaches courses like SOC 2181 (Health, Illness, and Society) and has expertise in digital health interventions targeting underserved communities. Research Interests: His work examines Neighborhood perceptions and allostatic load Socioeconomic deprivation and health outcomes Racial/ethnic disparities in chronic diseases Geospatial analysis of health inequities Mobile health (mHealth) technologies for cardiovascular health promotion Key Findings: Recent studies highlight the role of neighborhood environments in cardiovascular risk, particularly among African American populations. His work with the Step It Up digital health intervention emphasizes tailored messaging to improve physical activity and reduce health disparities. Grants/Advising: No specific grants or advisee names are listed in the provided materials, though his research involves collaborations with the Jackson Heart Study, Dallas Heart Study, and Washington, DC Cardiovascular Health initiatives. Labs/Teams: Affiliated with interdisciplinary teams focusing on mHealth interventions and geospatial health analytics, though no specific lab names are mentioned.

• Electron Microscopy
• Connectomics
• Cell Biology
• +۳ مورد دیگر

Song Pang is a researcher at Yale School of Medicine , directing the FIB-SEM Collaboration Core (F-SCC) . Her work focuses on advancing enhanced Focused Ion Beam Scanning Electron Microscopy (eFIB-SEM) technology for high-resolution imaging in translational and clinical research. Research Interests Pang specializes in: Subcellular Architecture: Mapping organelle organization and interactions in health and disease states Connectomics: Developing 3D atlases for neuronal circuits and sensory systems Biomedical Imaging: Innovating volume electron microscopy techniques for cellular and tissue analysis Metabolic Disease: Investigating hepatic ER-mitochondria dynamics in obesity and fasting Scientific Contributions Her research has produced landmark publications in Nature , Cell , and Science , including: The first open-access 3D atlas using eFIB-SEM Breakthroughs in mechanosensory receptor architecture Novel insights into cilia-mediated neural signaling Advancements in photomask inspection and semiconductor integration

Yang Zhangمشاهده پروفایل

استاد مدعو

• Biophysics
• Nanotechnology
• Fluorescence Spectroscopy
• +۳ مورد دیگر

Yang Zhang is an Adjunct Professor at Northeastern University's Department of Marine, Earth, and Atmospheric Sciences, part of the College of Sciences. He is affiliated with NC State University (Raleigh, NC) as indicated by his contact address at Jordan Hall. His research focuses on advanced microscopy techniques, fluorescent probe development, and their applications in cellular and biomedical imaging. Key interests include single-molecule localization microscopy (SMLM), spectroscopic imaging, and nanotechnology-driven solutions for biological systems. Research highlights include the design of photoactivatable fluorophores (e.g., BODIPYs), optimization of super-resolution imaging protocols, and the integration of machine learning into microscopy workflows. His work spans disciplines such as biophysics, materials chemistry, and cellular biology, with applications in studying mitochondrial dysfunction, corneal damage, and live-cell dynamics. Recent efforts also emphasize educational initiatives, such as developing STEM curricula that bridge machine learning and chemistry for high-school problem-solving. Publications since 2011 showcase contributions to fluorophore chemistry, imaging instrumentation, and data analysis tools like the RainbowSTORM plugin. While no awards are explicitly listed, his work reflects sustained innovation in imaging technologies. Advising and grant details are not provided here. Yang Zhang’s research lab or team affiliations remain unspecified in the available data.

Bijaya Shresthaمشاهده پروفایل

عضو هیئت علمی

• Medical Applications
• Image Processing
• Signal Processing
• +۷ مورد دیگر

Dr. Bijaya Shrestha is an Associate Teaching Professor in the Department of Electrical and Computer Engineering at the Missouri University of Science and Technology. He specializes in algorithm development for medical imaging applications, particularly in early-stage skin cancer diagnosis through image analysis of skin lesions. His research also encompasses particle transport, statistical physics, and Monte Carlo techniques. He holds a Ph.D. from the University of Missouri-Rolla (1995), an M.Sc. and B.Sc. from Tribhuvan University (Nepal). Notable achievements include a U.S. patent for melanoma detection algorithms and the 2010 Outstanding Professor Award. Education: Ph.D. in Nuclear Engineering, Missouri University of Science and Technology (1995) M.Sc. in Physics, Tribhuvan University (1978) B.Sc. in Physics, Tribhuvan University (1974) Research Interests: Algorithm development for medical diagnostics Signal and image processing Monte Carlo techniques Particle transport and radiation shielding Optimization techniques His work focuses on applying computational methods to medical challenges, such as melanoma detection through dermoscopy image analysis. He has contributed to over 200 citations across peer-reviewed publications and holds senior IEEE membership. His current projects include developing an inference engine for lesion image analysis.

• Plant Biochemistry
• Chemical Biology
• Synthetic Chemistry
• +۳ مورد دیگر

Amelia Fuller is Professor of Chemistry & Biochemistry at Santa Clara University, based at the Sobrato Campus for Discovery and Innovation (Room 2117B). Her research bridges plant evolutionary biochemistry and synthetic polymer design. Research focuses on two interconnected domains: Floral Biochemistry : Mechanisms of color polymorphisms in Lysimachia species, including anthocyanin pathway evolution and pollinator-driven selection Peptoid Engineering : Design of sequence-specific N-substituted glycine oligomers for molecular recognition in aqueous environments, with applications in drug delivery and environmental sensing Recent publications (2019-2025) demonstrate dual expertise: biochemical studies of flower color transitions using multiscale approaches, and peptoid development for nanoparticle stabilization, membrane interactions, and contaminant detection through fluorescence and X-ray techniques. Key awards: Ralph F. Hirschmann Award in Peptide Chemistry (2012) NSF CAREER Award (2011) Secured multiple NSF grants including RUI awards (2019, 2023) supporting undergraduate research integration. Developed course-based research experiences (CUREs) that replace traditional organic chemistry labs with combinatorial synthesis modules. Mentors students in multidisciplinary projects spanning biochemistry, nanotechnology, and chemical ecology. Leads a collaborative research group utilizing fluorescence spectroscopy, surface X-ray scattering, and computational modeling. Partners with institutions across the US and Cuba on antimicrobial discovery and chemistry education initiatives.

Fiete Winterمشاهده پروفایل

پژوهشگر

• Acoustic Engineering
• Signal Processing
• Spatial Audio
• +۳ مورد دیگر

Dr.-Ing. Fiete Winter is a Researcher at the Institut für Nachrichtentechnik under the Fakultät für Informatik und Elektrotechnik at Universität Rostock. His work focuses on Spatial Audio , Wave Field Synthesis , and Binaural Synthesis , with contributions to acoustic modeling, array design, and open-source tool development. He is a key contributor to the Two!Ears project, which emphasizes reproducible research and acoustic database creation. His research interests include sound field reconstruction , spatial aliasing analysis , and time-domain rendering techniques . He has developed open-source tools for sound field synthesis and contributed to the Two!Ears Database of binaural room impulse responses. His work often bridges theoretical models (e.g., geometric analysis, modal beamforming) with practical implementations in real-time systems. Recent publications highlight advancements in loudspeaker array design, spatial bandwidth limitation, and psychoacoustic evaluation of synthesized sound fields. His interdisciplinary approach integrates signal processing, psychoacoustics, and acoustic engineering to address challenges in immersive audio systems.

Leo J. Fleishmanمشاهده پروفایل

استاد

• Animal Communication
• Sensory Systems
• Evolutionary Biology
• +۳ مورد دیگر

Leo J. Fleishman is the William D. Williams Professor of Biological Sciences at Union College , affiliated with the Biology Department. His research focuses on sensory systems, environmental influences on animal communication, and visual ecology in anoline lizards. He teaches courses in biology, including Diversity of Life , Topics in Physiology , and Animal Behavior . Education: B.A., Tufts University; Ph.D., Cornell University. Research Interests: Fleishman investigates how color and motion perception interact with the physical properties of visual displays in lizards. His work emphasizes evolutionary adaptations in signal perception and ecological factors shaping communication. Recent studies explore chromatic contrast, light intensity effects, and dewlap signaling in Anolis species. Publications: His research spans visual ecology, behavioral ecology, and evolutionary biology, with notable contributions to Animal Behaviour , Journal of Herpetology , and Journal of Experimental Biology . Themes include sensory processing, signal visibility, and visual acuity in lizard communication. Grants & Support: Fleishman’s work benefits from NSF-funded equipment like micro-CT and 3D motion tracking systems, enhancing STEM research at Union College. Student Mentorship: He has advised Union College students, including C.S. Wadman, K.J. Maximov, A.I. Yeo, and C.W. Perez, on collaborative research projects.

• Computer Arithmetic
• Algorithms
• Graph Theory
• +۳ مورد دیگر

David W. Matula is a Professor affiliated with Southern Methodist University. His research focuses on computer arithmetic, algorithm design, graph theory, and network optimization. He has contributed extensively to hardware design for arithmetic operations, stochastic network analysis, and distributed systems. Key areas include floating-point arithmetic precision, graph partitioning algorithms, and sensor network optimization. His work spans over five decades, with notable contributions to concurrent flow problems, bipartite graph applications, and efficient arithmetic circuits. Matula has collaborated with institutions globally, publishing in top conferences like ARITH, ISMVL, and ICCCN. His research bridges theoretical computer science with practical engineering solutions, emphasizing both algorithmic innovation and hardware implementation.