جست‌وجوی استاد و پژوهشگر

• Cognitive Psychology
• Hydration Science
• Child Development
• +۲ مورد دیگر

Professor Caroline Edmonds is affiliated with the Childhood & Social Care research institute at University of East London. Her extensive research examines how hydration affects cognitive functions across different populations, with special focus on children's cognitive performance, neonatal neurology outcomes, and hydration-related interventions. Research interests span cognitive psychology, hydration science, and paediatric neurology. Key investigations explore water intake effects on memory, attention, and motor skills; neurodevelopmental outcomes following neonatal hypoxic-ischaemic encephalopathy; and nature-based interventions for childhood development. Publication trends show consistent focus on hydration-cognition relationships (50% of recent articles), paediatric neurodevelopment (30%), and educational interventions (20%). Methodologies include controlled trials, systematic reviews, and cross-cultural studies in both laboratory and real-world settings.

Robert Whiteمشاهده پروفایل

دانشیار

• MEMS/NEMS
• Acoustic Microsystems
• Microfabrication
• +۵ مورد دیگر

Robert White is an Associate Professor in the Department of Mechanical Engineering at Tufts University's School of Engineering. He leads the Microscale Sensors and Systems Lab and advises the Tufts Micro and Nano Fabrication Facility. His expertise spans acoustic microsystems, MEMS/NEMS, microfabrication, and aerodynamic measurement technologies. White holds a PhD from the University of Michigan and MS/BS degrees from MIT. Education: Ph.D., University of Michigan, Mechanical Engineering (2005) M.S., Massachusetts Institute of Technology, Mechanical Engineering (1999) B.S., Massachusetts Institute of Technology, Mechanical Engineering (1999) Research focuses on acoustic sensors for planetary science (e.g., Mars missions), quench detection in superconductors, and high-altitude anemometry. Key contributions include fluid-filled MEMS hydrophones and sonic anemometers. He has over 120 publications and holds multiple patents in sensor design. Awards include AIAA Associate Fellow status and grants from NASA, DOE, and industry partners. Teaching responsibilities include courses in acoustics, mechanics, and MEMS systems. Current projects involve developing sensors for extreme environments and improving aerospace instrumentation. Labs/Teams: Microscale Sensors and Systems Lab Tufts Micro/Nano Fabrication Facility

Dusan Sarenacمشاهده پروفایل

استادیار

• Quantum Physics
• Neutron Optics
• Neutron Interferometry
• +۴ مورد دیگر

Dusan Sarenac is an Assistant Professor in the Department of Physics at the University at Buffalo's College of Arts and Sciences, where he leads innovative research at the intersection of quantum physics and biomedical optics. His work bridges neutron science for materials characterization and vision science for early ocular disease detection, leveraging structured light and quantum phenomena. PhD in Physics (Quantum Information), University of Waterloo, 2018 Dr. Sarenac's research centers on two transformative domains. In neutron science, he pioneers techniques using orbital angular momentum in neutron beams to probe magnetic structures like skyrmion lattices through 3D tomography, collaborating with Oak Ridge National Laboratory and NIST. In vision science, he develops structured light methods that detect pre-symptomatic eye conditions by enhancing entoptic phenomena, enabling early diagnosis of macular degeneration and pathological myopia through partnerships with Waterloo's School of Optometry and Hong Kong's Centre for Eye and Vision Research. His recent publications (2023-2025) reveal a dual trajectory: neutron optics advancements for quantum materials characterization and vision science breakthroughs in ocular diagnostics. The neutron work focuses on orbital angular momentum manipulation for magnetic imaging, while vision research emphasizes structured light perception metrics and macular pigment mapping. Both streams demonstrate interdisciplinary convergence of quantum information science, wave optics, and biological applications. As Principal Investigator for Advanced Optometric Technology at Hong Kong's Centre for Eye and Vision Research since 2020, Dr. Sarenac directs a collaborative team spanning the University of Waterloo, Oak Ridge National Laboratory, and NIST. His projects integrate quantum engineering with clinical optometry to develop non-invasive diagnostic protocols, securing funding for quantum-inspired vision technologies while mentoring emerging researchers in cross-disciplinary methodologies. His laboratory ecosystem involves neutron beamline development at major facilities and clinical vision testing platforms, with future work targeting orbital angular momentum integration for 3D magnetic reconstruction and structured light applications for pre-symptomatic ocular disease screening.

• Computer Vision
• Multimodal Learning
• Audio-Visual Perception
• +۴ مورد دیگر

Yapeng Tian is an Assistant Professor of Computer Science at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. His work focuses on advancing core computer vision and audition technologies with applications in AR/VR, healthcare, and human-computer interaction. He holds a PhD from the University of Rochester (2022) and dual engineering degrees from Tsinghua University (2017) and Xidian University (2013). Research Interests: Multisensory perception Audio-visual learning Diffusion models Medical imaging Accessibility technologies Awards: Amazon Research Award (2024) UIST Best Paper Award (2024) Cisco Faculty Research Award (2023) AAAI New Faculty Highlights (2023) Recent work emphasizes efficient multimodal systems, with publications in top venues like CVPR, ICCV, and ICLR. His research bridges theoretical advances with practical applications in healthcare, accessibility, and interactive systems.

Mark Whitesideمشاهده پروفایل

مدرس

• Animal Welfare
• Animal Behaviour
• Cognitive Ecology
• +۱ مورد دیگر

Dr. Mark Whiteside is a Lecturer in Animal Welfare at the University of Plymouth, School of Biological and Marine Sciences. His teaching contributions include courses on Methods in Biology (BIOL234) and Animal Behaviour and Welfare Field Course (BIOL224). His research focuses on animal welfare, behavior, cognitive ecology, and conservation biology, with specific interests in pheasant cognition, environmental adaptation, and the application of big-data approaches to understand animal movement patterns. Key investigations include spatial memory, learning abilities, and inhibitory control mechanisms in birds. Publications demonstrate a consistent focus on cognitive ecology and behavioral adaptations, employing field-based observations and experimental paradigms to explore wildlife management implications.

• Educational Technology
• Creativity Assessment
• Learning Analytics
• +۴ مورد دیگر

Dr. Rebecca Marrone is a Lecturer at the University of South Australia's UniSA Education Futures, affiliated with the Department of Learning Sciences and Development and the Centre for Change and Complexity in Learning. Her work focuses on creativity assessment, educational technology, learning analytics, and mathematics anxiety reduction. She has contributed to projects like the preschool policy review for 3-year-olds and a pragmatic trial on self-regulated learning in primary schools. Her research spans AI applications in education, decision-making systems, and cross-cultural studies on statistics anxiety. She co-authored studies on automated creativity scoring via neural networks and the impact of AI on human creativity. Education & Professional Background: While specific educational details are not provided, her academic role and publications indicate advanced qualifications in education, psychology, or related fields. Research Interests: Her interests include AI integration in education, experiential learning, and evidence-based policy for early childhood education. She explores how technology can enhance creativity assessment and reduce academic anxiety while advocating for scalable educational interventions. Articles Overview: Her recent work addresses holistic decision-making systems in schools, the psychological impacts of statistics education, and AI's role in creativity. These studies emphasize data-driven approaches to improve teaching methods and student outcomes. Grants & Collaborations: She has collaborated on projects funded by organizations like the Australian Mathematical Sciences Institute and the Royal Commission into Early Childhood Education. Her work often involves international teams, reflecting her global influence in education research. Labs/Teams: Part of the Centre for Change and Complexity in Learning, focusing on innovation in teaching and learning methodologies. She contributes to interdisciplinary teams addressing systemic educational challenges.

Pedro Delicadoمشاهده پروفایل

استاد

• Statistics
• Data Science
• Big Data
• +۷ مورد دیگر

Pedro Delicado is a Full Professor at the Department of Statistics and Operations Research, Universitat Politècnica de Catalunya (UPC), based in Barcelona. He holds a degree in Mathematics and a doctorate in Economics. His research focuses on advanced statistical methods, data science, functional data analysis, and machine learning applications. He leads the ADBD research group (Analysis of Complex Data for Business Decisions) and collaborates with the Institut de Matemàtiques de la UPC. His current project 'Advanced Statistics and Data Science 2: New data, new models, new challenges' (PID2023-148158OB-I00) addresses modern data challenges, including Big Data, wearable devices, EEG analysis, graph data, and nonlinear dimensionality reduction. He supervises PhD students and has expertise in predictive modeling, explainable AI, and interdisciplinary applications in health, environmental science, and education. Delicado has published extensively in top journals like Machine Learning, Test, and Environmental and Ecological Statistics. He teaches advanced statistics and data science courses, leveraging virtual platforms. His work bridges statistical theory with practical applications, emphasizing interpretability and real-world impact.

Gloria Orchardمشاهده پروفایل

استادیار

• Radiation Science
• Medical Physics
• Biological Physics
• +۳ مورد دیگر

Gloria Orchard is an Assistant Professor in the Department of Physics and Astronomy at York University, Faculty of Science. Her research focuses on experimental physics in radiation science and medical physics, alongside pedagogical innovations in physics education. She emphasizes active learning strategies such as in-lecture activities, group discussions, and hands-on laboratory experiences to enhance student engagement and problem-solving skills. Her experimental work involves detector development in radiation science, microdosimetry, and neutron field characterization at facilities like CERN. She also explores applications of optoacoustic systems for subsurface imaging and medical diagnostics. Orchard is eligible to supervise graduate students in the Physics and Astronomy program. Gloria Orchard’s research areas include Biological Physics, Pedagogical Research, and Science Education. She has contributed to advancing detector technologies and radiation measurement techniques through collaborations with institutions like CERN. Her educational initiatives aim to refine laboratory curricula and improve teaching methodologies in physics education.

Jasper Mbachuمشاهده پروفایل

دانشیار

• Construction Management
• Productivity Improvement
• Digital Technologies in Construction
• +۷ مورد دیگر

Dr. Jasper Mbachu is an Associate Professor at Bond University's Faculty of Society & Design, affiliated with the Centre for Comparative Construction Research. His expertise focuses on construction productivity, digital technologies, and sustainable practices. He holds an MBA from Massey University and a PhD in Construction Economics from the University of Port Elizabeth. His research emphasizes BIM integration, prefabrication, AI applications, and cost management in construction projects globally. Education: MBA, Massey University (2006–2007) PhD in Construction Economics, University of Port Elizabeth (2000–2003) Research Interests: Dr. Mbachu explores productivity improvement in construction, digital transformation (e.g., BIM, GIS, AR/VR), sustainable practices, and cost modeling. He has led projects like the OPiC research incubator and FSD grant initiatives, focusing on systems thinking, risk management, and technology adoption in developing countries. Grants & Projects: OPiC: Bond University Optimizing Productivity in Construction Research Incubator (2018–2021) FSD Research Project Grant on Digital Transformation in Construction (2023) Labs/Teams: Active in the Centre for Comparative Construction Research and collaborates internationally on projects involving 3D printing, smart construction, and circular economy transitions.

Jason Raineمشاهده پروفایل

استاد مدعو

• Fish Physiology
• Aquatic Toxicology
• Environmental Contamination
• +۲ مورد دیگر

Dr. Jason Raine is an Adjunct Professor in Environmental Science and Operations Manager of the Quesnel River Research Centre. His research investigates physiological responses of fish to environmental contamination, with focus on oil sands impacts, PFAS toxicology, and stress biomarkers. Research utilizes fish models (sturgeon, trout, minnow) to examine contaminant effects across life stages. Key interests include endocrine disruption, transgenerational effects, and developing biomarkers like the kynurenine pathway indicator for organismal health. Methodological strengths include bioassay development, histopathology, and toxicokinetic studies. Field work assesses impacts of industrial activities like oil sands operations on aquatic ecosystems. Dr. Raine is not currently accepting graduate students but contributes to environmental monitoring through the Quesnel River Research Centre.

Jeffrey LaMondiaمشاهده پروفایل

دانشیار

• Travel Demand Modeling
• Active Transportation Safety
• Travel Behavior Analysis
• +۵ مورد دیگر

Jeffrey LaMondia is an Associate Professor in the Department of Civil and Environmental Engineering at Auburn University's Samuel Ginn College of Engineering. His research expertise includes travel demand modeling, active transportation safety, and discrete choice analysis, with a focus on equitable planning for vulnerable road users and long-distance travel behavior. Ph.D. in Transportation Engineering, University of Texas M.S. in Transportation Engineering, University of Texas B.S. in Civil Engineering, University of Connecticut Dr. LaMondia pioneers advanced methodologies for travel surveys and develops technologies like smartphone applications for cyclist route tracking, GIS-based tools for network prioritization, and longitudinal travel data collection systems. His work bridges transportation engineering with sustainability and social equity, particularly in rural and suburban contexts. Recent publications explore transportation resilience frameworks, climate-conscious travel behavior, GIS-enabled equitable route planning, and impacts of emerging mobility services. Awards include the Resilient Roads Roundtable’s Innovators and Influencers Award, National Academies' Fred Burggraf Best Paper Award, and Auburn University's Walker Teaching Award. He mentors graduate students and collaborates with agencies like the Centers for Disease Control and Prevention (CDC) on grants such as a $4.4 million initiative to improve active transportation in Alabama. His leadership also extends to Auburn University Transportation Research Institute (AUTRI).

• Sensory Reweighting
• Vestibular Rehabilitation
• Balance Training
• +۳ مورد دیگر

Dr. Kwadwo Appiah-Kubi is an Assistant Professor in the Department of Physical Therapy at Clarkson University's Lewis School of Health & Life Sciences. His research investigates sensory reweighting mechanisms in postural control and develops VR-based vestibular rehabilitation protocols. Current NIH-funded projects examine how concurrent vestibular activation and postural training using virtual reality recalibrate sensory integration in neurological populations. Additional work develops low-cost balance assessment tools for stroke patients in resource-limited settings. Teaches graduate courses in Neuromuscular Physical Therapy and Research Methods. Recipient of NIH Loan Repayment Award (2022-2024) and Restore Center Pilot Project Award (2023-2024). Holds PhD in Neuromotor Science from Temple University and clinical degrees from Cardiff University and University of Ghana.

• Deep Learning
• Data Mining
• Medical Image Analysis
• +۷ مورد دیگر

Dr. Daqing Chen is a Senior Lecturer in Data Science at London South Bank University (LSBU), serving as Deputy Head of the Division of Computer Science and Informatics and Course Director for the MSc Data Science program. His expertise spans deep learning algorithms, data mining, and AI applications in fields like medical diagnostics, lip-reading systems, and business intelligence. He holds a PhD in Automatic Control Engineering (1990-1993) and has held academic and research roles at institutions including Xidian University and the University of Nantes. His work addresses challenges in high-dimensional data embedding, UAV target tracking, and healthcare technology. Research Interests: Deep learning for lip-reading and silent speech recognition Data visualization and manifold learning techniques Medical image analysis and healthcare analytics AI-driven business intelligence solutions Autonomous systems and UAV motion planning Recent Projects: Smart Technology for Fighting Zika-Virus Epidemics (UK-Brazil collaboration) Big Data analytics for the London Borough of Lambeth Consumer-centric business intelligence for online retailers Teaching Responsibilities include Data Mining and Big Data Analytics modules. His research contributes to UN Sustainable Development Goals related to quality education and innovation in healthcare.

Charlotte Fowlerمشاهده پروفایل

استادیار

• Biostatistics
• Missing Data
• Causal Inference
• +۴ مورد دیگر

Charlotte Fowler is an Assistant Professor in the Department of Mathematical Sciences at Worcester Polytechnic Institute, with an affiliation in Data Science. She completed her Ph.D. in Biostatistics from Columbia University Mailman School of Public Health in 2024, with an MPhil in Biostatistics from Columbia University in 2022, and a B.A. in Applied Mathematics and Statistics from Macalester College in 2019. Her research focuses on causal inference methods for complex health data , particularly addressing issues of missingness, non-stationarity, and latent variables in mobile health studies. Dr. Fowler's work is motivated by applications to improve understanding of mental health and health disparities among individuals with severe mental illness, including bipolar disorder and schizophrenia. Biostatistics and causal inference methodology development Mobile health (mHealth) data analysis using wearable devices and smartphones Missing data techniques for longitudinal studies Time series analysis for N-of-1 studies Health disparities research Dr. Fowler has presented her research at numerous conferences including the New England Statistical Society, Eastern North American Region (ENAR), and Joint Statistical Meetings. Her publications span biostatistics, causal inference, psychiatry, and public health journals. She is passionate about increasing accessibility and diversity in the field of statistics. Her recent work includes methodological developments for causal inference with mobile health data, comparative analyses of software for causal diagrams, and applications to heart failure and mental health research.

• Vision Science
• Visual Perception
• Color Constancy
• +۳ مورد دیگر

Marina Bloj is a Professor of Health Research at the University of Bradford's Faculty of Health Studies. Her research focuses on understanding human visual perception, particularly how eyes and the brain collaborate to process visual information. Her work integrates physics principles with experimental techniques like eye-tracking and reaction-time measurements to explore topics such as color constancy, binocular motion-in-depth perception, and visual memory. Current projects include collaborations with Professors Julie Harris (University of St Andrews) and Alex Wade (University of York) on neural processing of binocular motion, and work with Prof Karl Gegenfurtner in Germany on color memory of real objects. She has secured sustained EPSRC funding through interdisciplinary collaborations and leads projects addressing applied vision challenges. Her lab develops computational models of vision that predict human performance in tasks like camouflage detection and object recognition. Research interests span fundamental visual processes (e.g., light interaction with surfaces, depth perception) and applied areas such as clinical vision screening and public health interventions. She investigates how visual abilities develop over time, including aging effects and literacy impacts of vision correction. Her interdisciplinary approach bridges physics, neuroscience, and computer science, with outputs ranging from fMRI studies to psychophysical experiments. Notable collaborations include EPSRC-funded projects on lightness constancy and BBSRC-supported work on binocular motion pathways. Her work emphasizes real-world relevance, linking laboratory findings to everyday visual tasks such as driving, reading, and object recognition in dynamic environments. She actively publishes in high-impact vision science journals and mentors early-career researchers in her field.