جست‌وجوی استاد و پژوهشگر

Jen Smithمشاهده پروفایل

عضو هیئت علمی

• Illicit and emerging drugs
• Public Health
• Qualitative Research
• +۳ مورد دیگر

Jen Smith is a Senior Research Fellow at the University of Western Australia (UWA), serving as national coordinator and public health co-lead for the Emerging Drugs Network of Australia (EDNA). Her work focuses on illicit and emerging drug toxicosurveillance, combining clinical toxicology with public health strategy. She holds a PhD in adolescent sexual behavior and pregnancy intentions (2010) and prior roles at Curtin University's School of Public Health. Research & Collaboration : EDNA, a 5-year national collaboration, monitors illicit drug harm in emergency departments (EDs) across five states. Jen's expertise spans qualitative research, policy evaluation (e.g., WA's 'Target 120' initiative), and drug-related health system preparedness. She has published extensively on drug intoxication patterns, clinical predictors of exposure, and emergency medicine protocols. Awards & Recognition : Received the 2024 Vice-Chancellor’s Award for Research Impact and Innovation for contributions to toxicosurveillance. Her work aligns with UN SDGs addressing health and well-being. Key Projects : Includes datasets on ED drug use trends, evaluation of public health initiatives, and collaborations with forensic labs, emergency physicians, and policy bodies.

Paul Dickmanمشاهده پروفایل

استاد

• Cancer Epidemiology
• Biostatistics
• Survival Analysis
• +۳ مورد دیگر

Paul Dickman is a Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet in Stockholm. He has been employed there since 1999, serving as deputy head of department, head of the MEB Biostatistics group, and programme director for the Master's Programme in Biostatistics and Data Science. His research focuses on developing and applying statistical methods for population-based cancer survival analysis, particularly relative/net survival estimation and modeling. Education: PhD in Statistics (1997), University of Newcastle, Australia B.Math (Honours Class 1) (1992), University of Newcastle, Australia Research Interests: Cancer epidemiology Survival analysis Statistical methods for register-based studies Awards: Statistical Promoter of the Year 2023 Grants and Fundings: Swedish Cancer Society grants for developing statistical methods in cancer epidemiology Swedish Research Council grant for register-based research Advising and Mentorship: Supervised 8 doctoral students as primary supervisor and 18 as co-supervisor, covering topics like cancer survival, health technology assessment, and epidemiology. Labs/Teams: Leads the Statistical methods in epidemiology – Paul Dickman's research group , focusing on biostatistical methods for cancer survival analysis and policy applications.

Corentin Coulaisمشاهده پروفایل

استاد

• Mechanical Metamaterials
• Active Matter
• Topological Materials
• +۵ مورد دیگر

Dr. Corentin Coulais is a Professor in the Department of Physics at the University of Amsterdam's Faculty of Science. He leads the Machine Materials Laboratory, focusing on cutting-edge research at the intersection of physics, materials science, and engineering. His work explores the fundamental mechanics of structured materials and their applications in robotics, sensing, and programmable matter. Dr. Coulais's research interests center on mechanical metamaterials, active matter, and topological materials. His laboratory investigates how to design materials with unprecedented properties by leveraging mechanical instabilities, nonlinearity, and topology. His work spans from fundamental theoretical concepts to practical applications in soft robotics, shape-morphing structures, and energy absorption systems. The research combines experimental approaches with computational modeling and increasingly incorporates machine learning techniques for design optimization. His recent publications reveal a strong trend toward increasingly sophisticated control of material behavior through topological principles, active components, and learning algorithms. His work has evolved from basic mechanical metamaterials to systems incorporating non-reciprocity, active matter principles, and machine learning for design. The research spans fundamental physics of mechanical systems to practical applications in robotics and programmable matter. Dr. Coulais has established the Machine Materials Laboratory as a leading center for mechanical metamaterials research. His team develops innovative experimental setups and theoretical frameworks to explore the rich behavior of structured materials. The laboratory maintains strong connections with other research groups internationally and collaborates across disciplines including physics, engineering, and computer science.

• Adapted Physical Education
• Inclusive Physical Education
• Physical Education for Students with Disabilities
• +۴ مورد دیگر

Wesley Jay Wilson serves as Assistant Professor in the Department of Kinesiology and Community Health within the College of Applied Health Sciences at the University of Illinois Urbana-Champaign, with an affiliate appointment at the Siebel Center for Design. His research examines critical equity issues in physical education systems across educational settings. His primary research domains include Adapted Physical Education, Inclusive Physical Education for Students with Disabilities, and Physical Education Policy analysis. Wilson investigates systemic barriers in physical education access through multi-state U.S. studies and international collaborations (notably in Chile), focusing on geographic/grade-level disparities and inclusion practices for students with Down syndrome. His work extends to doctoral socialization processes in adapted physical activity and secondary educator training in strength conditioning. Recent publication trends reveal concentrated scholarship on structural inequities in school-based physical activity access (2024-2025), with methodological emphasis on multi-region U.S. analyses and cross-cultural comparisons. His collaborative projects consistently address teacher perspectives, policy implementation gaps, and evidence-based interventions to improve physical education equity. Wilson actively contributes to adapted physical activity scholarship through empirical studies examining teacher preparation, student inclusion frameworks, and systemic access barriers, positioning him as a contemporary researcher addressing urgent challenges in physical education equity and practice.

Yun-Hee Choiمشاهده پروفایل

استاد

• Biostatistics
• Statistical Genetics
• Survival Analysis
• +۳ مورد دیگر

Yun-Hee Choi is a Professor at the Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University. Her research focuses on advanced statistical methodologies for complex biomedical data, particularly in genetic and cancer epidemiology contexts. BSc in Statistics MA in Statistics PhD in Biostatistics She specializes in joint modeling , dynamic prediction , correlated survival data analysis , and statistical genetics , with applications to Lynch syndrome and familial colorectal cancer . Her methodological work includes copula models , frailty models , and multistate models for analyzing competing risks and recurrent events. Recent publications demonstrate expertise in genetic risk estimation , cancer progression modeling , and family-based survival analysis . She develops computational tools like the FamEvent R package for time-to-event data in genetic studies. NSERC: Statistical methods for joint modeling (2019-2024) CIHR: Risk prediction models for HBOC (2019-2023, Co-PI) CANSSI: Genetic data analysis (2019-2022, Co-I) NSERC: Competing risks modeling (2014-2019) CIHR: Multistate models for Lynch syndrome (2013-2016) CBCF-Ontario: BRCA1/2 family screening (2014-2017) NSERC: Correlated survival data (2009-2014) Her work bridges biostatistical theory with cancer prevention applications , particularly in hereditary cancer syndromes.

• HIV/AIDS
• Cancer
• Implementation Science
• +۵ مورد دیگر

Raul U. Hernandez-Ramirez is a Research Scientist in Biostatistics at the Center for Methods in Implementation and Prevention Science (CMIPS) at the Yale School of Public Health. He serves as Director of the Dissemination and Implementation Science Methods (DISM) Core at the Center for Interdisciplinary Research on AIDS (CIRA) and is an Affiliated Faculty member at the Yale Institute for Global Health. His work bridges biostatistics, implementation science, and global health research with a focus on practical applications for public health improvement. Dr. Hernandez-Ramirez earned his PhD in Public Health (Chronic Disease Epidemiology) from Yale University in 2018, following an MPhil in the same field in 2016. During his doctoral studies, he conducted research as a predoctoral visiting fellow at the National Cancer Institute (NCI). He further enhanced his expertise through specialized training programs including the Training Institute for Dissemination and Implementation Research in Cancer (TIDIRC) and the Multilevel Intervention Training Institute (MLTI) from NCI, as well as training in optimization of multicomponent interventions using the Multiphase Optimization Strategy (MOST). His research primarily focuses on HIV/AIDS, cancer, and implementation science. He develops and applies causal inference methods for evaluating HIV prevention interventions and methods to account for exposure uncertainty in environmental health studies. His work spans multiple settings including New Haven, other locations in the United States, and low- and middle-income countries, particularly Mexico. He is particularly interested in adapting and developing interventions to increase the uptake of evidence-based practices for HIV and cancer prevention and care, including follow-up care for abnormal cervical cancer screens. He is a member of the Yale Cancer Center (YCC) and the Yale Institute for Global Health (YIGH). Analysis of Dr. Hernandez-Ramirez's recent publications reveals a strong focus on gastric cancer epidemiology through the Stomach cancer Pooling (StoP) Project, examining dietary factors and their relationship to cancer risk. His work prominently features implementation science methodologies applied to HIV prevention and cancer screening programs, particularly in Mexican and other international settings. His research combines rigorous biostatistical methods with practical applications in global health contexts, with significant contributions to causal inference methods and network-randomized trial analysis. Provides expertise, consultations, and technical assistance on implementation science through CIRA's DISM core Contributes to projects in Ending the HIV Epidemic (EHE) priority areas through the CIRA-affiliated IS hub R3EDI Collaborates on research projects in New Haven, other US settings, and low- and middle-income countries including Mexico Offers seminars and trainings on research methods, design, and analysis to CIRA affiliates Dr. Hernandez-Ramirez previously gained substantial research experience in nutrition, environmental health, and cancer at the National Institute of Public Health of Mexico, where he worked as a researcher and instructor and served as project coordinator, data manager, and main statistician for a multistate study. He holds an MSc in Epidemiology and a BSc in Nutrition, establishing a strong foundation for his current work at the intersection of nutritional epidemiology and implementation science.

John Rinzelمشاهده پروفایل

استاد

• Computational Neuroscience
• Biophysical Mechanisms
• Neural Computations
• +۳ مورد دیگر

John Rinzel is a Professor of Neural Science and Mathematics at New York University, affiliated with the Center for Neural Science and the Courant Institute. He holds academic positions within the College of Arts and Science and the Graduate School of Arts and Science. His research focuses on computational neuroscience, integrating biophysical mechanisms with mathematical modeling to understand neural computations at cellular and network levels. Education: Ph.D. in Mathematics (1973) and M.S. in Mathematics (1968) from NYU’s Courant Institute, and a B.S. in Engineering from the University of Florida (1967). Ph.D. in Mathematics, NYU Courant Institute (1973) M.S. in Mathematics, NYU Courant Institute (1968) B.S. in Engineering, University of Florida (1967) Research Interests: Rinzel studies biophysical mechanisms underlying neural computations, including dendritic computation, neuronal excitability, auditory pathway modeling, perceptual bistability, and rhythmic timing. His work combines theoretical models with experimental collaborations, emphasizing reduced biophysical models for cellular and network-level dynamics. Recent research trends include auditory streaming, perceptual dynamics, and rhythmic beat generation in music. His models explore gamma oscillations, thalamic spindle rhythms, and sleep-related neural excitability. Publications highlight applications in sensory processing, neural network oscillations, and cognitive functions like attention and memory coordination. No scientific awards explicitly listed. Rinzel leads a research group focusing on computational neuroscience, collaborating on projects involving auditory neuroscience, mathematical biology, and theoretical neurophysiology. His lab is part of NYU’s Center for Neural Science, fostering interdisciplinary approaches to brain function.

Sangita Kulathinalمشاهده پروفایل

استاد

• Statistics
• Public health, environmental and occupational health
• Sociology
• +۳ مورد دیگر

Sangita Kulathinal is a Professor in the Department of Mathematics and Statistics at the University of Helsinki and holds an Associate Professor position at Tampere University since 2008. Her research integrates statistics, public health, and sociology, focusing on survival analysis, multistate models, and health outcomes. Statistics Public health, environmental and occupational health Sociology Bayesian methods Health informatics Recent publications highlight her work on: Medical statistics for age-related macular degeneration Gestational weight trajectories in Indian populations Longitudinal studies of marital stability and well-being Colorectal cancer modeling with misclassified data Statistics communication in postgraduate education She has received the Excellence in Doctoral Supervision Award (2024) and leads two major projects: Mathematical and statistical modeling of communicable/noncommunicable diseases (2025-2027) Algebraic statistics and multistate models (2025)

• Visual Perception
• Eye Movement Control
• Sensorimotor Integration
• +۳ مورد دیگر

Prof. Dr. Alexander Schütz is a faculty member at the Faculty of Psychology, Philipps-Universität Marburg , leading the Sensorimotor Learning research group. His work explores the interplay between eye movements and visual perception , focusing on trans-saccadic integration, dynamic signal integration, and perceptual stability. Academic Affiliation: Department of General and Biological Psychology Key Collaborators: Karl Gegenfurtner, David Souto, Miriam Spering Research Interests Integration of bottom-up salience and top-down value signals in eye movement control Trans-saccadic information calibration and perceptual adaptation Individual differences in multistable perception and motor learning His 2024-2025 publications reveal trends in: Visual processing in rod vision and occlusion Optical flow models for eye movement prediction Neural mechanisms of cost-benefit trade-offs in visual search Perceptual biases in autism-psychosis spectra Visuotactile integration during spatial judgments Grants ERC Starting Grant PERFORM (2015-2020): Calibration of peripheral and foveal vision ERC Consolidator Grant SENCES (2021-2025): Processing of inferred vs. sensory visual information Laboratory Equipment : EyeLink 1000+ eye trackers, ViewPixx stereoscope, ProPixx projector, and Vizard VR platform for behavioral studies.

Kathleen Adelgaisمشاهده پروفایل

استاد

• Pediatric Emergency Medicine
• Emergency Medical Services (EMS) for Children
• Child Abuse and Neglect
• +۴ مورد دیگر

Kathleen Adelgais, MD, MPH, is a Professor at the University of Colorado Anschutz Medical Campus School of Medicine in the Department of Pediatrics-Emergency Medicine. She serves as Project Director for the Colorado EMS for Children Program and holds board certifications in Pediatrics (1998), Pediatric Emergency Medicine (2004), and Emergency Medical Services (2022). Her research focuses on pediatric emergency care , EMS for children , simulation training , and child abuse recognition . Recent work explores AI-powered speech recognition in emergency settings, sepsis management, trauma triage protocols, and health equity in pain medication administration. Notable contributions include: Co-developer of the PECARN cervical spine imaging prediction rule Advocate for standardized pediatric disaster triage simulations Research on smart glasses in EMS workflows Leadership in statewide EMS guideline implementation Awards include Fellow status at the American Academy of Pediatrics and National Association of EMS Physicians. She collaborates extensively with organizations like PECARN and NAEMSP, and her work appears in journals such as Lancet Child & Adolescent Health and Academic Emergency Medicine .

Rob Anexمشاهده پروفایل

استاد

• Biological systems analysis
• Life cycle assessment
• Techno-economic analysis
• +۳ مورد دیگر

Rob Anex is a Professor at the University of Wisconsin-Madison, affiliated with the Biological Systems Engineering Department in the College of Agricultural and Life Sciences. He holds program affiliations in Energy Analysis & Policy and the Graduate Certificate in Environment & Resources. His research focuses on systems for producing energy, fuels, and biorenewable products, emphasizing life cycle assessment (LCA) and techno-economic analysis (TEA). Dr. Anex earned his B.S. (1981) and M.S. (1983) in Mechanical Engineering from the University of California, Davis, followed by a Ph.D. (1995) in Environmental Engineering from the same institution. His work integrates laboratory process development with large-scale system modeling to address food, water, and energy security challenges. Research Interests: Biorenewable chemicals and fuels production Nutrient recovery and cycling in biofuel systems Environmental impacts of biomass production Climate change mitigation via carbon capture and utilization Agrisolar co-location and land-use efficiency Key Awards: Federal Biomass Research & Development Technical Advisory Committee (2019–present) USDA Partnership Award for Multistate Efforts (2016) U.S. EPA Board of Scientific Counselors (2008–2009) Grants & Advising: Dr. Anex has led projects on biorefinery systems, sustainable agriculture, and carbon-negative materials. His advising focuses on interdisciplinary challenges in bioenergy and environmental engineering. He is affiliated with the Wisconsin Energy Institute and collaborates across engineering, agricultural, and environmental disciplines. Labs & Teams: Active in the Engineering Research Center for Biorenewable Chemicals (CBiRC) and the Wisconsin Energy Institute , advancing technologies for sustainable energy production and resource management.

• Environmental Economics
• Public Economics
• Data Analysis
• +۱۲ مورد دیگر

Kathleen Bell is a Professor of Resource Economics and Policy at the University of Maine, affiliated with the School of Economics within the College of Natural Sciences, Forestry and Agriculture. She is also supported by the Maine Agricultural and Forest Experiment Station and leads the Hatch Multistate project ME031802. Her work integrates economics with environmental and public health issues, focusing on sustainable land and water management, rural development, and climate resilience. Education: Ph.D. in Economics, University of Maryland A.B. in Economics & Environmental Studies, Bowdoin College Her research spans environmental economics, public economics, and data analysis, with a strong emphasis on interdisciplinary approaches. Key interests include rural economic development, natural resource management, outdoor recreation, public policy, and risk communication. She studies how individuals, organizations, and markets interact with environmental systems, using spatial analysis and decision-making models to inform private and public policies. Dr. Bell's publications appear in top journals such as Proceedings of the National Academy of Sciences , Land Economics , and Marine Resource Economics . Her work reflects a trend toward integrated, evidence-based solutions that bridge economic, social, and environmental systems, with increasing focus on climate adaptation, stakeholder engagement, and valuation of ecosystem services. Scientific Awards: University of Maine’s Excellence in Faculty Mentoring Award (2018) Dr. Bell advises undergraduate and graduate students in Economics and Ecology & Environmental Science. She has led large interdisciplinary research projects funded through the Experiment Station and federal programs. Her leadership extends to service on editorial boards and as a reviewer for major journals and federal grant panels. She is committed to workforce development and mentoring future leaders in data-driven environmental policy. She is actively involved in research programs that connect science with decision-making, particularly through the School of Economics and the Maine Agricultural and Forest Experiment Station. Her lab and research team focus on economic valuation, risk communication, and modeling human-environment interactions in rural and coastal communities.

• Distribution Theory
• Run and Pattern Analysis
• Statistical Quality Control
• +۵ مورد دیگر

Demetrios Antzoulakos is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus. He holds leadership roles as Head of the Department since January 2014 and Director of the MSc in Applied Statistics program. He has been affiliated with the University of Piraeus since 1998, progressing through Lecturer (1998-2000) to Assistant Professor (2000-2006) before his current role. His research focuses on distribution theory, run and pattern analysis, statistical quality control, and actuarial science applications. Education: Ph.D. in Mathematics, University of Patras (1990) Diploma in Mathematics, University of Patras (1986) Teaching: Undergraduate courses include Probability I/II and Life Insurance II. Postgraduate courses cover Data Analysis, Statistical Quality Control, Survival Analysis, and Life Contingencies. Research Interests: Span distribution theory of runs, control charts, start-up demonstration tests, and Fibonacci polynomials. His work bridges theoretical probability with practical applications in risk theory and quality assurance. Refereeing: Serves as a referee for journals like Journal of Applied Probability , Annals of the Institute of Statistical Mathematics , and IEEE Transactions on Reliability .

Katia Bertoldiمشاهده پروفایل

استاد

• Mechanical Engineering
• Materials Science
• Applied Mathematics
• +۷ مورد دیگر

Katia Bertoldi is the William and Ami Kuan Danoff Professor of Applied Mechanics at Harvard University's John A. Paulson School of Engineering and Applied Sciences . She leads the Bertoldi Group: Solid Mechanics , focusing on mechanical metamaterials, multistable systems, and soft robotics. Her work integrates applied mathematics, materials science, and nonlinear dynamics to design architected materials with programmable properties. Research interests include: Mechanical metamaterials with tunable properties Multistable structures for energy absorption and reprogrammability Soft robotics leveraging origami/kirigami principles Machine learning-driven design of complex materials Recent work emphasizes reprogrammable systems (e.g., magnetic and thermal actuation) and textile-based metamaterials for wearable applications. Her team collaborates across disciplines, addressing challenges in biomedical devices, robotics, and sustainable manufacturing. Key contributions include: Developing metafluids with programmable shell instabilities Designing inflatable origami actuators for meter-scale reconfigurable structures Creating knitted fabrics with tunable mechanical responses Her lab explores energy-efficient actuators, adaptive fluid networks, and AI-driven material discovery, aiming to bridge theory and real-world applications.

• Molecular Electronics
• Organometallic Chemistry
• Inorganic Chemistry
• +۵ مورد دیگر

George Koutsantonis is a Professor in the School of Molecular Sciences at the University of Western Australia. His research focuses on synthetic chemistry, organometallic and inorganic materials, molecular electronics, and supramolecular systems. He holds a BSc(Hons) and PhD from the University of Adelaide. Previously, he conducted postdoctoral research at the University of Kentucky and Griffith University, and has been at UWA since 1995. He serves as Co-Editor-in-Chief of the Australian Journal of Chemistry . Education: BSc(Hons), University of Adelaide PhD, University of Adelaide Research Interests: Molecular electronics and nanoscale materials Metallomicelles and redox-active complexes Host-guest supramolecular systems Transition metal organometallic chemistry Awards: Leighton Memorial Medal (2022) RACI Organometallic Chemistry Prize (2004) Grants and Projects: Over 50 grants, including leadership in Building a CO2 Foundry and Nickel Catalysed Electrochemical C-H Activation . Active in molecular electronics and sustainable materials research. Collaborates internationally on crystallography, catalysis, and materials design. Labs & Teams: Leads teams in molecular rectification, metallomicelle systems, and supramolecular host-guest interactions. Engages in collaborative projects with institutions globally.