جست‌وجوی استاد و پژوهشگر

• Mathematics
• Analysis
• Mechanical Engineering
• +۲ مورد دیگر

Xiao Ma is a Donald J. Lewis Research Assistant Professor in the Department of Mathematics at the University of Michigan, located within the College of Literature, Science, and the Arts. His academic work bridges mathematics and interdisciplinary applications in mechanics, materials science, and soft matter. He holds a Ph.D. from Princeton University (2023) and a B.S. from the University of Science and Technology of China (2018). Dr. Ma’s research focuses on topological mechanics, metamaterials design, and geometric principles governing material behavior. His studies explore novel mechanical systems, such as origami-inspired structures, topological neural networks, and stress dynamics in colloidal gels. Recent work emphasizes wave control in auxetic media and fracture mechanics in topological lattices. His publications span topics including active matter dynamics, frustrated self-assembly, and mechanical metamaterials. Collaborative efforts involve interdisciplinary teams addressing challenges in structural engineering, biophysics, and computational mechanics. Despite no explicitly listed awards, his contributions reflect innovative approaches to complex mechanical systems. Advising and grants: While no specific grants or student advisees are mentioned, his role as a research professor suggests active involvement in mentoring graduate students and postdoctoral researchers. His laboratory likely focuses on experimental and theoretical studies of mechanical systems, though specific lab names are not provided in the text.

Samuel Prestonمشاهده پروفایل

استاد

• Demography
• Mortality Trends
• Public Health
• +۷ مورد دیگر

Samuel Preston, Ph.D., is a Professor of Sociology at the University of Pennsylvania, affiliated with the School of Arts & Sciences. He holds secondary roles in the Population Studies Center and has extensive academic credentials, including a Ph.D. in Economics (Princeton University, 1968) and a B.A. in Economics (Amherst College, 1965). His research focuses on population health dynamics, particularly mortality transitions, racial disparities in mortality, and the effects of behavioral risk factors like cigarette smoking and obesity. Recent work has emphasized regional inequalities in life expectancy and the epidemiological impact of the COVID-19 pandemic across U.S. counties and demographic groups. Dr. Preston is a co-author of the authoritative demography textbook with Michel Guillot and Patrick Heuveline. He has been honored as a member of both the National Academy of Sciences and the National Academy of Medicine. His collaborative efforts include projects with Irma Elo and Penn's graduate students to dissect the socioeconomic and geographic dimensions of health outcomes. Beyond his academic contributions, he has engaged in policy-relevant analyses of mortality patterns and healthcare disparities, reflecting his commitment to bridging demographic research with societal challenges. His advising narrative includes mentoring past and present graduate students in demography and public health, contributing to their studies on life expectancy disparities. Grants and funding details are not explicitly listed in the provided texts, but his involvement in major projects like the John Adams Institute Accelerator Design Project suggests sustained research support. The Population Studies Center serves as a key hub for his collaborative work, focusing on interdisciplinary approaches to demographic and health-related inquiries.

Samaneh Kouchakiمشاهده پروفایل

مدرس ارشد

• Biomedical signal processing
• Deep supervised/semi-supervised learning for healthcare data
• Graph learning and embedding for omics data
• +۵ مورد دیگر

Samaneh Kouchaki is a Senior Lecturer in Machine Learning for Healthcare at the University of Surrey, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. She leads research on machine learning applications in healthcare, particularly dementia care and antibiotic resistance. Her roles include teaching, supervision of 6 PhD students, and collaboration with the UK Dementia Research Institute. Education : PhD in Computer Science (University of Surrey, 2015), postdoctoral research at University of Oxford (TB genomics) and University of Manchester (bioinformatics). Research Interests : Focuses on healthcare AI, including biomedical signal processing, graph learning for omics data, and sensor-based remote monitoring. Develops machine learning tools for early disease detection and personalized care. Publications : Over 30 peer-reviewed articles in top journals like NPJ Digital Medicine and The Lancet Microbe , covering topics from antibiotic resistance prediction to dementia care technologies. Recent work emphasizes lightweight models for clinical NLP and unsupervised anomaly detection. Lab & Teams : Leads research in health AI at CVSSP, collaborating with UK DRI, Imperial College London, and NHS trusts. Develops TIHM platform for remote monitoring of dementia patients.

Jiandi Wanمشاهده پروفایل

استادیار

• Microfluidics
• Biomedical Engineering
• Tissue Engineering
• +۷ مورد دیگر

Jiandi Wan is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on micro-scale multi-phase flow dynamics with applications in vascular circulation, tissue engineering, and material synthesis. He leads the Wan Research Lab, which investigates cerebral microcirculation using microfluidics and microscopy, develops 3D printing and Organ-on-a-Chip technologies for in vivo system replication, and explores functional materials for biomedical and energy applications. Key research themes include neurovascular coupling, stem cell biology, and advanced material fabrication. Dr. Wan's work bridges chemical engineering with biomedical and materials science, aiming to advance fundamental understanding of fluid dynamics in biological and synthetic systems. His lab’s innovations include novel microfluidic approaches for disease modeling and energy storage solutions. Collaborative projects often involve interdisciplinary partnerships to address challenges in healthcare and sustainability. His research has produced technologies such as nanoporous separators for lithium-ion batteries and microfluidic platforms for studying red blood cell mechanics. The Wan Lab’s methodologies emphasize precision engineering and real-world applicability, contributing to both academic and industrial advancements. Current projects include developing brain-on-a-chip systems and exploring oxygen-regulated microcirculation mechanisms. Advising and grants are central to his academic role, though specific details are not provided in the text. The Wan Research Lab serves as a hub for graduate and postdoctoral training, fostering innovation in microfluidics, material science, and biomedical engineering.

• Neuroscience
• Neurobiology
• Exercise Physiology
• +۳ مورد دیگر

Dr. Natalie Doody is a Research Fellow at the University of St Andrews, affiliated with the School of Psychology and Neuroscience. Her work focuses on interdisciplinary research at the intersection of neuroscience, neurobiology, and exercise physiology, with a particular emphasis on molecular mechanisms underpinning neural plasticity and vascular adaptations. Her research interests include understanding the effects of exercise on central nervous system modulators, gene expression in neurobiological pathways, and the biomechanical analysis of muscle function. She also investigates immunological and inflammatory processes in chronic diseases like type 2 diabetes mellitus, leveraging population-based studies to explore disease development in specific demographics. Recent publications highlight her exploration of RhoA/ROCK pathway dynamics in brain regions subjected to hypoxia and exercise, spinal cord injury's microvascular consequences, and the biomechanics of insect flight muscles. This body of work reflects a progression from epidemiological studies in diabetes to more mechanistic investigations in neurophysiology and muscle biology. Dr. Doody's research narrative encompasses grants and collaborations within the School of Psychology and Neuroscience, though specific grant details are not provided in the text. She advises no listed students but contributes to academic mentorship through her faculty role. Her involvement in research teams and labs is implied by her position but not explicitly stated here.

Orlin Velevمشاهده پروفایل

استاد

• Soft Colloidal Engineering
• Sustainable Materials Science
• Energy Storage Technologies
• +۳ مورد دیگر

Orlin Velev is a Culberson Distinguished Professor in the Department of Materials Science and Engineering at NC State University's College of Engineering. His research focuses on soft colloids, sustainable materials, and wearable biomedical technologies. He leads a research group exploring the applications of these materials in energy storage, environmental remediation, and advanced healthcare devices. His work often integrates concepts from chemical engineering, physics, and biology to solve interdisciplinary challenges. Velev's research interests include the design and behavior of soft colloidal systems, such as dendritic microcleaners for microplastic capture, biodegradable polymers for electronics and packaging, and magnetic particles for autonomous propulsion. He also develops innovative microfluidic platforms for non-invasive biomarker sensing and wearable health monitoring. His contributions span advanced battery materials, stimuli-responsive materials, and scalable nanofabrication techniques. His articles from 2024-2025 highlight breakthroughs in sustainable polymer substitutes, advanced battery separators, and osmotic-capillary principles for fluid management in wearables. These studies emphasize interdisciplinary approaches, with frequent collaboration between materials science, nanotechnology, and biomedical engineering. No scientific awards are explicitly listed in the text. However, his endowed chair title reflects recognition of his contributions. He holds no recorded advisees or grants in the provided information, though his research likely involves graduate students and postdocs. His lab focuses on colloidal assembly, soft matter engineering, and biomaterials development, accessible via his website here .

• Mathematical Statistics
• Biostatistics
• Medical Research
• +۳ مورد دیگر

Lu Ting is a Professor at the Department of Mathematics within the Courant Institute of Mathematical Sciences, New York University. Their research integrates mathematical statistics and biostatistics with applications in oncology, environmental health, and precision medicine. Key focuses include molecular pathway analysis in glioma, biomarker development for drug resistance, and statistical methods in translational research. Research interests span mathematical modeling of cancer therapies, environmental exposure impacts on human health, and optimization algorithms. Notable projects include longitudinal studies on World Trade Center (WTC) exposure effects and sphericity testing in high-dimensional covariance matrices. Publications from 2015–2024 reflect interdisciplinary work combining mathematical rigor with biomedical challenges, particularly in cancer treatment optimization and environmental health surveillance. No scientific awards or grants are explicitly documented in the provided text.

• Biomedical Natural Language Processing
• Large Language Models in Healthcare
• Ophthalmology AI Applications
• +۳ مورد دیگر

Xuguang Ai, MS, is a researcher at Yale School of Medicine specializing in biomedical natural language processing and large language models for healthcare applications. Their work focuses on applying AI to medical domains, particularly ophthalmology, with numerous publications in 2024-2025. Research interests center on biomedical natural language processing , large language model evaluation in clinical contexts , and specialty-specific AI applications . Their work bridges the gap between artificial intelligence and practical healthcare needs, developing systems that can understand and process medical text with clinical accuracy. Their publication record shows a strong emphasis on benchmarking methodologies for medical AI systems, with multiple studies evaluating LLM performance across thousands of clinical questions. Recent work includes developing ophthalmology-specific language models and improving medical information extraction systems. Award recognition has not been specified in available materials, but their high-impact publications in venues like Nature Communications demonstrate significant scholarly contribution to the field. Research activities include leading projects on medical question answering systems, clinical decision support tools, and specialized language models for healthcare domains. The work integrates systems immunology, engineering, and AI to monitor, predict, and improve human health as part of Yale's broader research initiatives.

• Biomedical Sciences
• Microbiology
• Immunology
• +۳ مورد دیگر

Katri Korpela is an Assistant Professor at the University of Helsinki's Department of Bacteriology and Immunology within the Faculty of Medicine. Her research focuses on gut microbiota development across lifespans, with emphasis on pediatric health, environmental influences, and microbial interactions. She leads the Doctoral Programmes in Microbiology and Biotechnology, and Biomedicine, supervising research on microbiota dynamics. Korpela is also involved in EU-funded projects like the ERC StG MICROECO (€1.48M), investigating microbial ecology in infant gut health. Her work integrates longitudinal cohort studies, meta-analyses, and intervention strategies to address allergy risks, cardiometabolic health, and microbiota modulation. Awards include prestigious grants, though no explicit personal honors are listed. Korpela collaborates internationally, with interests spanning microbiome-host interactions, antibiotic impacts, and public health applications. Education: Not explicitly stated in text; inferred via academic position. Grants: ERC StG MICROECO (2023-2027), Finnish Academy grants (e.g., Yliopiston profilointirahoitus 7 InterEarth RESET). Labs/Teams: Leads microbial ecology research teams, including projects on infant microbiota restoration and pandemic effects on gut health. Key research areas include microbiota development, antibiotic resistance dynamics, and translational health interventions. Recent studies analyze pandemic-era microbiota shifts, probiotic efficacy, and predictive health indices for infants.

Nélio Jorge Veigaمشاهده پروفایل

دانشیار

• Health Behavior
• Dental Caries
• Adolescence
• +۵ مورد دیگر

Nélio Jorge Veiga is an Associate Professor at the Faculty of Dental Medicine of the Catholic University of Portugal. He holds an active research role at the Center for Interdisciplinary Research in Health (CIIS). His work focuses on public health topics including oral health, health literacy, and preventive dental care. Veiga has supervised over 50 academic works, with current projects addressing oral cancer early diagnosis, digital health technologies in social isolation contexts, and the impact of health literacy interventions in institutional care settings. Education: PhD in related field (exact discipline unspecified). Research Interests: Prevalence studies in oral health Health behavior analysis Adolescent dental health Quality of life assessments Cross-sectional study methodologies Key Projects (2020–2026): OralTherm: Investigating thermal water effects on oral health InDig: Digital teaching technologies in dental education SPRINT: Saliva-based precision diagnosis Awards: None explicitly mentioned in available texts. Grants: Active funding from Portugal2020 and Fundación 'la Caixa' for current research projects. Recent collaborations include studies on aligner material toxicity, white spot lesion masking techniques, and dentist training for oral cancer diagnosis. Labs/Teams: Part of the CIIS research group and collaborates with multidisciplinary teams in dental education innovation and biomaterials research.

• Aquaculture Nutrition
• Sustainable Feed Development
• Biorefinery Technology
• +۱۲ مورد دیگر

Margareth Øverland is a Professor at the Norwegian University of Life Sciences (NMBU), affiliated with the Faculty of Biosciences and the Department of Animal and Aquacultural Sciences. She serves as the Center Director of the Center for Research-based Innovation (CRI) Foods of Norway , a leading initiative in sustainable aquafeed development. Her work integrates advanced biotechnology and biorefinery approaches to create novel, renewable feed ingredients for aquaculture and livestock. Her research focuses on utilizing alternative resources such as tree biomass, marine macroalgae, insect meals, and microbial proteins (e.g., Paecilomyces variotii , yeast) to replace traditional feed components. She investigates their effects on animal growth, gut health, immune function, and product quality, with a strong emphasis on sustainability and circular economy principles. Her recent publications (2022–2025) reveal a clear trend toward high-impact, interdisciplinary studies involving meta-analyses, controlled field trials, and multi-omics approaches (proteomics, microbiome analysis). These works span aquaculture (Atlantic salmon, rainbow trout) and terrestrial livestock (pigs, poultry, dairy cows), demonstrating the broad applicability of her research. Keywords across her articles include sustainable feed, alternative proteins, immunonutrition, gut microbiota, and biorefinery technology. While no specific scientific awards are listed in the provided text, her leadership of a major CRI indicates national and likely international recognition. She is actively involved in advising through her research center and supervising projects, though individual student names are not provided. Her laboratory and team operate under the Foods of Norway CRI, which brings together interdisciplinary researchers to develop innovative feed solutions. The center likely includes expertise in bioprocessing, nutrition trials, microbiology, and environmental assessment, supporting large-scale, real-world applications of sustainable feed technologies.

Ben Hawkinsمشاهده پروفایل

دانشیار

• Microfluidics
• Bioengineering
• Electrokinetics
• +۷ مورد دیگر

Ben Hawkins is an Associate Professor in the Department of Biomedical Engineering at the California Polytechnic State University (Cal Poly), College of Engineering. His research lies at the intersection of biomedical, electrical, and mechanical engineering with a strong focus on microfluidic systems and bio-sensing technologies. His educational background includes a BS in Electrical Engineering from California State University, Fresno, and a Ph.D. in Biomedical Engineering from Cornell University. His doctoral work under Prof. Brian Kirby explored dielectrophoresis for mycobacteria analysis in microfluidic environments. BS in Electrical Engineering – CSU, Fresno (2005) Ph.D. in Biomedical Engineering – Cornell University (2011) His research interests include microfluidics, electrokinetics, dielectrophoresis, biosensors, microfabrication, and electromagnetics, with applications in studying bacterial biofilms and evaluating antibiotic treatments. These interdisciplinary interests bridge engineering principles with clinical microbiology. Throughout his career, he has maintained a consistent focus on developing microscale tools for biological analysis, beginning with inductive power transfer during undergrad, advancing to electrokinetic manipulation in graduate school, and continuing with biofilm growth studies at NIST and San Jose State University. Professor Hawkins served as a faculty member at San Jose State University from 2012 to 2016 in the Biomedical, Chemical, and Materials Engineering Department before joining Cal Poly. He previously held a Research Fellow position at the National Institute of Standards and Technology (NIST), supported by the National Academy of Sciences. There are no scientific awards listed in the available text. He advises graduate students as the Graduate Coordinator (implied by his grad email), and his work involves interdisciplinary projects integrating electrical, mechanical, and biomedical engineering. While specific grants are not mentioned, his research trajectory suggests sustained funding in microfluidic bioengineering. His lab work centers on microfluidic platforms for bacterial biofilm studies and antibiotic testing, likely involving student-led senior projects and graduate research within Cal Poly's Biomedical Engineering facilities.

• Pain Management
• Neuroscience
• Mindfulness Meditation
• +۳ مورد دیگر

Joshua Grant is a Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. As part of his role, he serves as a Scientific Editor and Advisor for Grant Applications, specializing in research coordination and postdoctoral affairs. His work bridges neuroscientific research with clinical applications, particularly in pain management, mindfulness, and psychosocial stress mechanisms. His research focuses on interdisciplinary topics such as the biopsychosocial model of disease, meditation’s effects on pain perception, and the physiological correlates of stress. He has contributed to studies on chronic conditions like fibromyalgia and schizophrenia, emphasizing neuroimaging and clinical trial methodologies. Education: PhD (specific discipline unspecified but implied from research focus) Grant’s publications (2005–2020) consistently highlight neuroplasticity, mindfulness-based interventions, and the integration of psychological and physiological data in clinical contexts. He has collaborated on groundbreaking work linking meditation to cortical thickness changes and stress reduction via thermal imaging. No scientific awards are explicitly mentioned in the provided texts. As a researcher, he advises on grant applications and oversees postdoctoral programs, contributing to institutional research governance. Labs/Teams: His research is embedded within the Institute’s cognitive neuroscience and clinical research teams, though specific lab names are not specified.

Cameron Aubinمشاهده پروفایل

استادیار

• Robotics
• Materials Science
• Energy Systems
• +۵ مورد دیگر

Cameron Aubin is an Assistant Professor in the Department of Robotics at the University of Michigan's College of Engineering. He leads the Zoetic Robotics Laboratory, which focuses on bio-inspired robotics, materials science, and energy systems. His work emphasizes closing the performance gap between robots and living organisms by integrating multifunctional materials and energy systems into robotic designs. Research interests include soft robots, microrobots, autonomous materials, and additive manufacturing. The lab explores insect-scale robotics, embodied energy systems, and materials inspired by biological structures like bone microarchitectures. Key projects involve developing combustion actuators, valveless fluid systems, and energy-dense robotic components. Recent publications (2021–2025) highlight advancements in soft actuators, microscale combustion, and fatigue-resistant materials. The lab’s interdisciplinary approach bridges robotics, materials science, and biomedical engineering. No scientific awards are explicitly listed, but ongoing work includes collaborations on 3D-printed medical devices and energy-efficient robotic systems. Advising and grants are not detailed in the provided text, but the lab actively pursues cutting-edge research in autonomous robotics and bio-inspired design.

• Natural Language Processing
• Cross-modal Learning
• Generative AI
• +۷ مورد دیگر

Dr. Yan Gong is a Lecturer in Computer Science at Bournemouth University, Faculty of Science and Technology, Department of Computing and Informatics. He holds a PhD in Computer Science from Loughborough University (2023) and a Master’s degree in Communications and Signal Processing with distinction from Newcastle University (2012). Before academia, he worked over six years as a lead AI engineer in industry. Research Interests: Dr. Gong specializes in cutting-edge areas of artificial intelligence, including Natural Language Processing (NLP), Cross-modal Learning, Generative AI, and AI Agents. His work bridges theoretical advances with real-world applications, particularly in multimodal information retrieval and neural search systems. He is passionate about solving practical problems through AI and actively collaborates with industry partners. Publication Trends: His recent publications (2021–2024) focus on improving cross-modal information retrieval using deep learning, especially Vision Transformers and semantic embedding techniques. Key themes include hard negative mining, relation-focused learning, and neural search engines for artwork and general domains, published in high-impact journals like Pattern Recognition and ACM Transactions on Knowledge Discovery from Data . Scientific Service: Reviewer, Pattern Recognition (Elsevier) Reviewer, ACM MM 2023 Conference Guest Editor, IEEE Journal of Biomedical and Health Informatics Reviewer, Neural Networks , Knowledge and Information Systems , AI Communications Teaching and Advising: Dr. Gong is the unit leader for COMP7076 (Industrial Skills and Professional Issues) in the MSc Human-Centred Artificial Intelligence program. He supervises postgraduate students and welcomes PhD applicants interested in NLP, Generative AI, and multimodal AI. While no specific students are listed, he emphasizes mentorship and real-world research translation. Labs and Research Groups: Though not explicitly named, Dr. Gong is affiliated with AI and computing research activities at Bournemouth University, contributing to the university's research in human-centred AI and intelligent systems. His collaborations with Dr. Georgios Cosma and others suggest active participation in a research team focused on multimodal learning and information retrieval.