جستجوی استاد راهنمای دانشگاهی

Özlem İlk Dağمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Multilevel Modeling
• Interactive Graphics
• +۵ مورد دیگر

Prof. Dr. Özlem İlk Dağ is a Professor of Statistics at the Middle East Technical University (METU), Ankara, Turkey. She holds the position of Department Head of Statistics and serves on advisory boards for TUBITAK and the Journal of Biostatistics. Her academic journey includes roles from Research Assistant (1997) to Professor (2018), with affiliations in Actuarial Sciences and Biostatistics. Education: Ph.D. in Statistics (Iowa State University, 2004), M.S. and B.S. from METU. Research focuses on longitudinal data analysis, multilevel modeling, Bayesian methods, and biostatistics. She authored three editions of R Yazilimina Giris and a foundational book on multivariate longitudinal data analysis. Key contributions include developing marginalized transition random effects models (MTREM) and R packages like 'mmm'. Awards include METU's 20-year service recognition and teaching excellence. She has supervised numerous research projects and co-authored over 50 peer-reviewed articles across biostatistics, genomics, and statistical computing. Her work bridges statistical theory and application, with notable contributions to gene expression clustering, maternal antibody studies in veterinary science, and computational methods for longitudinal data. She maintains active collaborations in genomics and biostatistics, and her lab focuses on integrating statistical computing with biomedical research.

• Health Policy and Systems Research
• Social Determinants of Health
• Participatory Action Research
• +۹ مورد دیگر

Dr. Lucia D'Ambruoso is a Senior Lecturer at the Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen. She is based at the Aberdeen Centre for Health Data Science and leads international research on health systems, participatory methods, and verbal autopsy. She holds honorary and visiting positions at the University of the Witwatersrand (South Africa), Umeå University (Sweden), and Stellenbosch University, and serves on multiple international research and policy committees. PhD in Public Health, University of Aberdeen (2011) MSc in Public Health and Health Services Research, University of Aberdeen (2003) BSc (Hons) in Pharmacology, University of Aberdeen (1997) Her research focuses on health policy and systems, social determinants of health, and participatory action research, especially in sub-Saharan Africa and South Asia. She uses qualitative and mixed methods to understand how health systems can be made more equitable and responsive through community engagement, inter-sectoral action, and innovative data systems like verbal autopsy. Her recent publications demonstrate a strong focus on community-led health research, digital health platforms for emergency care, school-based mental health, and mortality data systems. She leads major NIHR and GCRF-funded programmes in South Africa and Rwanda, aiming to strengthen primary care and injury response systems through participatory methods. Scientific Awards: University of Aberdeen Interdisciplinary Research Award (2024) University of Aberdeen Outstanding Research Award (2024) Fellow, Stellenbosch Institute of Advanced Study (2025) Fellow, Royal Society for Public Health (2021) Fellow, Higher Education Academy (2017) Dr. D'Ambruoso teaches across global health, health policy, and research methods at both undergraduate and postgraduate levels. She supervises PhD students and is Deputy Director of the Centre for Global Development at the University of Aberdeen. She is actively involved in community engagement through NHS Grampian and serves on the editorial board of Global Health Action and the Steering Committee of the Politics of Health Group. Her research is supported by NIHR, MRC, Wellcome Trust, and international philanthropies. She leads the Verbal Autopsy with Participatory Action Research (VAPAR) initiative, which connects communities, researchers, and policymakers to generate actionable evidence on health equity. Her team works closely with the Agincourt HDSS in South Africa and has developed innovative tools for community health worker training and data collection.

Jonathan Huمشاهده پروفایل

استاد

• Optics
• Photonics
• Nanophotonics
• +۱۱ مورد دیگر

Dr. Jonathan Hu is a Professor in the Department of Electrical and Computer Engineering at Baylor University's School of Engineering and Computer Science. He holds a PhD from the University of Maryland Baltimore County (2008) and completed a postdoctoral fellowship at Princeton University (2009–2011). He is an active researcher in optics and photonics, leading the Photonics Research Laboratory and advising both graduate and undergraduate research assistants. Research Interests: Nanophotonics and metamaterials for photovoltaic and biomedical applications Mid-IR supercontinuum generation using chalcogenide photonic crystal fibers 2D materials such as graphene and their alignment via magnetic fields Coherent optical communication and quantum optical Fredkin gates Numerical simulation of electromagnetic problems and leaky mode analysis His recent publications (2019–2024) demonstrate a strong focus on quantum plasmonics, specialty optical fibers, optofluidics, and nonlinear optical phenomena, with high-impact work in journals like Science Advances , ACS Photonics , and Advanced Materials . The research shows a clear trend toward integrating photonics with 2D materials and quantum systems, with applications in sensing, communication, and materials characterization. Scientific Awards and Recognition: 35 Baylor faculty named among top 2% most cited researchers (2023) Editor’s Pick, Journal of Applied Physics (2018) Top three downloads in OSA journals for three consecutive months (2009) NSF Graduate Research Fellowship (awarded to advisee) Chinese Government Award for Outstanding Self-Financed Students Abroad (awarded to advisee) Second Place in FiO + LS Student Competition (awarded to advisee) Advising and Grants: Dr. Hu actively mentors students at all levels, with current graduate research assistants including Wei Zhang, Zhihao Hu, and Sterling Walzel. His lab is supported by external funding, though specific grants are not detailed in the text. He has advised PhD students such as Joshua Young, Chao Niu, and Chengli Wei, many of whom have gone on to successful academic and industry careers. His teaching includes core courses like EGR 1302, ELC 2320, and ELC 4320, as well as advanced topics in computational photonics and integrated photonics. Labs and Teams: He leads the Photonics Research Laboratory at Baylor University, located at the BRIC facility. He is also involved with the Baylor University Optica Student Chapter, promoting optics outreach and networking among students and researchers.

• Multivariate Methods for Change Analysis
• Latent Class Models in Developmental Processes
• Machine Learning in Psychology
• +۳ مورد دیگر

Kevin John Grimm is a Professor in the Department of Psychology at Arizona State University (ASU), serving as Director of Operations and Research within the College of Health Solutions. He holds a B.A. in Mathematics and Psychology from Gettysburg College (2000), and M.A. (2003) and Ph.D. (2006) in Psychology from the University of Virginia. Previously, he served as faculty at UC Davis before joining ASU in 2014. His research focuses on multivariate methods for analyzing developmental change, including nonlinear growth modeling, latent class analysis, and integrating machine learning with psychological data. Notable contributions include co-authoring the textbook *Growth Modeling: Structural Equation and Multilevel Modeling Approaches* (Guilford Press, 2017). Teaches courses like Structural Equation Modeling, Longitudinal Growth Modeling, and Machine Learning in Psychology at ASU. Active in professional service: Associate Editor of *Structural Equation Modeling: A Multidisciplinary Journal* since 2012. Recipient of NIH/NIDA grants for drug abuse/HIV prevention research and NICHD-funded studies on sleep health in children. His methodological work bridges quantitative innovation with substantive developmental research, emphasizing rigorous model specification and cross-disciplinary applications.

Mark R. Greenstreetمشاهده پروفایل

استاد

• Formal Verification
• VLSI Design
• Analog Circuit Verification
• +۳ مورد دیگر

Mark R. Greenstreet is a Professor in the Department of Computer Science at the University of British Columbia (UBC). He holds a BSc from Caltech (1981), MA (1988), and PhD (1993) in Computer Science from Princeton University. His primary research focuses on formal verification of analog and mixed-signal (AMS) circuits, VLSI design, and hybrid systems. Notable contributions include the STARI signaling technique, tools like Coho for reachability analysis, and PReach for parallel model checking. He has advised numerous graduate students and collaborators, including Brad Bingham, Chao Yan, and Yan Peng. His work has been recognized with a Best Paper Award at the ASYNC Symposium. Supported by NSERC, Intel, and Oracle, his research bridges theoretical foundations and practical challenges in circuit design and verification. He teaches courses on formal methods, computer architecture, and automata theory at UBC.

Kamila A. Alexanderمشاهده پروفایل

دانشیار

• Health Equity
• Intimate Partner Violence
• HIV/AIDS Prevention
• +۵ مورد دیگر

Kamila A. Alexander, PhD, RN, is an Associate Professor and Director of the PhD, DNP/PhD, and Postdoctoral Programs at the Johns Hopkins School of Nursing. She holds the endowed Natalie and Wes Bush Rising Professorship. Her research integrates health equity and social justice frameworks to examine socio-structural determinants of trauma, violence, and sexual/reproductive health outcomes among marginalized youth, with emphasis on intimate partner violence, HIV resilience, and economic opportunity. Education Dr. Alexander earned: B.S. in Exercise Science (Howard University) BSN and MSN/MPH (Johns Hopkins School of Nursing) PhD in Nursing Science (University of Pennsylvania) Research Focus Her work spans: Socio-structural drivers of health disparities Intersections of violence, trauma, and sexual/reproductive health Community-engaged interventions to promote HIV resilience Policy impacts on health equity for Black and Latino communities Publication Trends Recent articles (2019–2024) cluster around reproductive coercion, intimate partner violence, and HIV/STI prevention, employing mixed-methods approaches. Key themes include gender-based power dynamics, structural barriers in healthcare, and culturally responsive intervention strategies. Awards & Honors Notable recognitions: Betty Irene Moore Fellowship for Nurse Leaders (2020) Dean’s Award for Outstanding Nurse Researcher (2020) Johns Hopkins Catalyst Award (2018) New Nurse Faculty Fellowship (2015) Leadership & Affiliations She directs NIH-funded training programs and chairs key initiatives including: Nursing Initiative, Mid-Atlantic CFAR Consortium Violence Working Group, Johns Hopkins Center for Injury Research NIH T32 Training Program in Trauma and Violence She is affiliated with six Hopkins research centers focused on global health equity, adolescent health, and infectious diseases.

• Child and Adolescent Psychiatry
• Behavioral Medicine
• Rural Mental Health
• +۴ مورد دیگر

Jennifer Ludrosky is an Assistant Professor in the Department of Behavioral Medicine & Psychiatry at the West Virginia University School of Medicine, specializing in Child and Adolescent Psychiatry through the HRSA-funded Graduate Psychology Education (GPE) program. Her educational credentials include: PhD from Miami University (2005) Child and Adolescent Psychology Internship at University of Rochester School of Medicine (2005) HRSA-funded GPE Fellowship at University of Rochester School of Medicine (2006) Dr. Ludrosky's research centers on critical gaps in behavioral healthcare delivery, with emphasis on rural mental health access for children, palliative care integration in pediatric oncology, and telehealth service optimization. Her work addresses systemic barriers like insurance authorization processes, geographic isolation, and pandemic-related service disruptions, while developing interventions for caregiver education and provider wellness. This portfolio reflects a commitment to equity-focused solutions in underserved communities. Her 2022-2023 publications reveal consistent methodological rigor across diverse settings—from rural Appalachia to school systems—using mixed-methods approaches to evaluate distance metrics, telehealth adoption, and mindfulness interventions. Key trends include intersectional analysis of socioeconomic barriers, real-world implementation challenges, and patient-family centered care models. No scientific awards were documented in source materials. Regarding academic mentorship and funding, the provided texts contained no information about supervisees, grant awards, or research teams.

• Statistical Inference
• Stochastic Processes
• Biomathematics
• +۵ مورد دیگر

Susanne Ditlevsen is a Professor at the Department of Mathematical Sciences , University of Copenhagen. Her research focuses on statistical inference for stochastic processes , mathematical modeling of physiological systems , nonlinear dynamics , neuroscience , and biomathematics . Research : She develops statistical methods for diffusion processes, hidden Markov models, and stochastic differential equations, with applications in biomedical data and marine mammal behavior. Teaching : Covers basic statistics, probability, stochastic processes, regression, and generalized linear models. Publications highlight her work on climate tipping points (2023, Nature Communications ), nonlinear neuronal systems (2017), and statistical ecology (2020). Her collaborations span Denmark, France, and international institutions.

• Fluid Dynamics
• Turbulence
• Magnetohydrodynamics
• +۳ مورد دیگر

Wouter Bos is a Research Director at CNRS working at the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon, France. He leads research within the Turbulence & Instabilities team, focusing on fundamental aspects of fluid dynamics with applications spanning from plasma physics to epidemiology. His academic journey reflects a deep engagement with theoretical and computational fluid mechanics, particularly in turbulence phenomena. Dr. Bos's research interests center on fluid dynamics, with particular emphasis on turbulence in various contexts including two-dimensional flows, magnetohydrodynamics, plasma physics, and statistical mechanics of fluids. His work explores fundamental questions about energy transfer, coherent structures, and statistical properties of turbulent flows. He has made significant contributions to understanding turbulence without vortex stretching, two-dimensional turbulence, and the application of fluid dynamics principles to epidemiological modeling. Analysis of his recent publications reveals a strong focus on theoretical and computational approaches to turbulence. His work spans from fundamental questions about equilibrium states in two-dimensional turbulence to practical applications in plasma confinement and epidemic modeling. The publications demonstrate consistent innovation in turbulence theory, with particular attention to statistical mechanics approaches, spectral analysis, and the development of reduced-order models for complex fluid phenomena. His research shows growing interdisciplinary connections, especially between fluid dynamics and epidemiology as evidenced by his work on modeling the spread of infectious diseases. Dr. Bos actively supervises doctoral students and postdoctoral researchers, with recent students including Tong Wu, Ryo Araki, Smiron Varghese, Wesley Agoua, and Bruce (Xi Yuan) Yin. He participates in collaborative research projects such as the ANR CM2E project (2021-2025) on Characteristic Mapping Method for the Euler Equations, working with researchers from Aix-Marseille University and McGill University. His laboratory work involves both theoretical analysis and computational simulations, with applications ranging from fundamental fluid mechanics to practical problems in energy research (particularly related to ITER and fusion plasma physics) and public health. The interdisciplinary nature of his research demonstrates the broad applicability of fluid dynamics principles across seemingly disparate scientific domains.

• Technology-enhanced teaching
• Employability & Professionalism
• Technology-enhanced health education
• +۳ مورد دیگر

Debbi Marais is a Professor (Teaching Focussed) at the University of Warwick within the Warwick Medical School and Health Sciences department. She serves as the Director of Postgraduate Education and is a Principal Fellow of the UK Higher Education Academy , demonstrating strategic leadership in enhancing teaching quality, curriculum development, and student mentorship. With over 25 years of experience in higher education, she has held academic positions at Stellenbosch University , University of Aberdeen , and University of Warwick . Her expertise spans teaching, assessment, program coordination, quality assurance, and reflective practice. Marais’ research interests include pedagogical innovation , with a focus on technology-enhanced teaching and employability & professionalism , as well as public health nutrition covering infant and young child feeding , nutrition transition , and global health . She employs mixed methods in her research and has contributed to understanding exclusive breastfeeding barriers , maternal obesity trends in Africa, and Arabic weight-loss app design . Her work often intersects with technology-enhanced health education and interdisciplinary collaboration . Her recent publications highlight qualitative studies on food-based dietary guidelines in Kenya and South Africa, mobile health interventions for weight loss, and educational innovations in medical and nutrition training. These works reflect her commitment to global health equity and digital pedagogy , with recurring themes in African and Southeast Asian health contexts. She emphasizes participatory research methods and policy translation in maternal and child nutrition. Scientific Awards Principal Fellow of the UK Higher Education Academy Marais has supervised postgraduate research students (PhD and Masters) and contributed to curriculum reform through collaborative international projects. She has secured external funding for research and demonstrated interdisciplinary expertise in nutrition , public health , and health education .

Martin Arangurenمشاهده پروفایل

استاد پژوهش

• Social Interaction
• Nonverbal Communication
• Emotions
• +۱۳ مورد دیگر

Martin Aranguren is a CNRS Junior Professor affiliated with the Centre for Research on Social Inequalities (CRIS) at Sciences Po. His research bridges micro-level social interactions and macro-level social inequalities, employing diverse methodologies including field experiments, interviews, and statistical analysis. He holds a PhD from École des Hautes Études en Sciences Sociales and earned his HDR in 2024, qualifying him to supervise doctoral research. His research interests include: Social Interaction Nonverbal Communication Emotions Discrimination (racial, religious, ethnic) Health Disparities and Mental Health Inequalities Field Experiments and Behavioral Measurement Bayesian Statistics His recent publications reveal a strong focus on discrimination in urban public spaces, particularly examining how race, religion (e.g., Islamic headscarves), and health behaviors (e.g., mask-wearing) influence everyday interactions. His work often uses field experiments in cities like Paris, Brussels, and Vienna to measure subtle forms of bias. A recurring theme is risk compensation during the pandemic, where adopting one safety measure (e.g., masks) leads to reduced adherence to others (e.g., distancing), with significant gender differences observed. His scientific contributions include leading major research projects such as: MIDI (2018–2021) : Studied misrecognitive discrimination using field experiments. GERICO (2021–2022) : Funded by ANR, investigated risk compensation during Covid-19. He also contributes to academic discourse through editorial roles and peer reviewing. He serves on the editorial board of Appartenances & Altérités and has reviewed for journals including Annals of Behavioral Medicine , Ethnic and Racial Studies , and PLoS ONE . He teaches quantitative methods, including Research Design and Regression Analysis, in the Sociology Master’s program at Sciences Po. His methodological rigor and interdisciplinary approach position him as a leading figure in contemporary sociological research on inequality.

Michael Molloyمشاهده پروفایل

استاد

• Graph Theory
• Probabilistic Method
• Random Graphs
• +۲ مورد دیگر

Michael Molloy is a Professor in the Department of Computer Science at the University of Toronto, with a cross-appointment to the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC). He teaches courses in Discrete Mathematics and the Probabilistic Method, including CSC/MAT A67 and CSC2427/MAT1500 . Research Focus: Graph Theory, Probabilistic Methods, Random Graphs, Constraint Satisfaction Problems, and Markov Chain analysis. His work includes foundational contributions to graph coloring, such as adaptable/conflict coloring and correspondence coloring, and exploring phase transitions in random graphs. He has supervised numerous graduate students, including Lora Hrisch, Jurgen Aliaj, and Hamed Hatami, advancing combinatorial and algorithmic research. Recent publications analyze random graph processes, the freezing threshold for k-colorings, and the resolution complexity of constraint satisfaction problems. These studies intersect theoretical computer science, combinatorics, and probabilistic modeling, often revealing deep structural insights through rigorous mathematical proofs.

Sanni Kotimäkiمشاهده پروفایل

مدرس

• Life-course research
• Socioeconomic health disparities
• Intergenerational effects
• +۱۰ مورد دیگر

Sanni Kotimäki is a University Lecturer at the INVEST Research Flagship Centre, University of Turku, where she conducts research on life-course dynamics, socioeconomic health disparities, intergenerational effects, and the role of early-life experiences. Her work integrates quantitative methods and applied statistics to analyze complex social and health outcomes. Research Interests: Her research centers on understanding how parental resources, childhood environments, and socioeconomic conditions shape health and wellbeing across the lifespan. She investigates mechanisms behind health inequalities, including the influence of parental education, mental health, and family structure. A key focus is on intergenerational transmission of disadvantage and resilience, particularly through the lens of family policies such as parental leave. Publication Trends: Her recent publications (2020–2024) reflect a consistent focus on population health, using sibling fixed-effects models, administrative data, and mixed-methods approaches. Themes include fatherhood and workplace peer effects on parental leave, birth outcomes and NEET status, prenatal mental health disparities, and the long-term impacts of parental death. These works demonstrate methodological rigor and policy relevance. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no mention of students or advising roles in the available information. While no specific grants are listed, her affiliation with the INVEST Research Flagship Centre suggests involvement in large-scale, funded research initiatives focused on social and health disparities. Labs and Teams: Sanni is actively involved with the INVEST Research Flagship Centre, a multidisciplinary research environment at the University of Turku dedicated to understanding early-life determinants of health and wellbeing. She collaborates closely with researchers such as Satu Helske, Simon Chapman, and Juho Härkönen, contributing to both academic and public-facing outputs including blogs and policy reports.

• Human health and wellbeing
• Environmental change
• Ecosystem services
• +۴ مورد دیگر

Dr. Jessica C. Fisher is a Research Fellow at the Durrell Institute of Conservation and Ecology (DICE), University of Kent. Her work focuses on the intersection of human health, environmental change, and social inequalities, particularly exploring how biodiversity influences well-being through nature-based interventions. She holds a BSc in Zoology from Newcastle University, an MRes in Biodiversity, Evolution, and Conservation from University College London, and a PhD from DICE, where she examined human-nature interactions in urban Guyana. Her research employs mixed-methods approaches, including participatory visual methods, structural equation modeling, and data visualization. Key areas include the design of nature-based health programs, the socio-cultural dimensions of biodiversity conservation, and the impacts of environmental changes on marginalized communities. She has contributed to projects funded by the Woodland Trust and European Research Council (ERC), such as the 'RELATE' initiative analyzing biodiversity's role in human well-being across socio-economic gradients. Dr. Fisher is a Professional Associate Fellow of the Higher Education Academy and chairs the Women’s Researcher Network. Her publications span high-impact journals like Nature Ecology and Evolution and Environmental Research , with a focus on topics including robotic biodiversity monitoring, participatory video in conservation, and equitable access to nature. She actively engages in policy advocacy, emphasizing the integration of social and ecological sciences to address planetary health challenges. Education: BSc Zoology, Newcastle University MRes Biodiversity, Evolution, and Conservation, University College London PhD in Human-Nature Interactions (Urban Guyana), DICE, University of Kent Affiliations: Member, Durrell Institute of Conservation and Ecology (DICE) Co-chair, Women’s Researcher Network Member, IUCN Commission on Ecosystem Management Grants & Projects: ERC-funded 'RELATE' project (2020–present) Woodland Trust-funded 'Woodland Biodiversity for Human Health and Wellbeing' (2020)

Arnab Samantaمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Aeroacoustics
• Hydrodynamic Stability
• +۲ مورد دیگر

Dr. Arnab Samanta is an Associate Professor at the Department of Aerospace Engineering , Indian Institute of Technology Kanpur. His research focuses on fundamental and applied aspects of fluid mechanics and aeroacoustics. PhD in Theoretical & Applied Mechanics (2009), University of Illinois at Urbana-Champaign ME in Aerospace Engineering (2004), Indian Institute of Science BE in Mechanical Engineering (2001), Jadavpur University His research interests include: Fluid mechanics of complex flows Aeroacoustics and noise prediction Hydrodynamic stability analysis Wave mechanics in compressible flows Active flow control strategies Recent publications highlight work on vortex ring stability, swirling jet dynamics, supersonic flow acoustics, and jet instability modeling. His laboratory (Low Speed Aerodynamics Lab - A02) serves as a hub for aerospace research and student training.