جست‌وجوی استاد و پژوهشگر

• Social Network Analysis
• Social Capital
• Personal Networks
• +۷ مورد دیگر

Beate Volker is an Associate Professor at the Faculty of Geosciences , University of Utrecht , specializing in Human Geography and Spatial Planning . Her research focuses on Social Network Analysis , Social Capital , and Personal Network Dynamics , with particular interests in Dutch society, neighborhood effects, and urban sociology. Institutional affiliation: University of Utrecht Academic rank: Associate Professor Department: Human Geography and Spatial Planning Her scholarly work examines how life course events , urban densification , and social stratification shape personal and community-level networks. She investigates network segregation in Chilean and Dutch contexts, prisoner reintegration challenges, and the health impacts of social capital . Her methodological expertise includes field experiments, panel data analysis, and relational data collection. Recent publications highlight trends in acquaintanceship networks in the Netherlands, collective efficacy in neighborhoods, and person-centered care in long-term facilities. She contributes to the Dynamics of Youth and Pathways to Sustainability research programs. As a supervisor and researcher, Volker explores network consequences of entrepreneurship , pet ownership , and romantic relationships . Her work frequently appears in journals like Social Networks , British Journal of Sociology , and Health and Place , with peer-reviewed studies on network homogeneity, tie decay, and expert-driven causal modeling.

• Renewable Energy Applications
• Hydrogen and Fuel Cells
• DC-Microgrids
• +۳ مورد دیگر

Dr. Kosala Gunawardane is an Associate Professor in Renewable Energy Engineering at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. Previously, she held roles as Associate Professor and founding Director of the Centre of Future Power and Energy Research (CFPER) at Auckland University of Technology (AUT), New Zealand. She also served as Deputy Program Leader in the Blue Economy Corporate Research Centre in Australia. Her academic journey includes a PhD in Power Electronics (University of Waikato, 2014) and a BEng in Electronics and Telecommunications Engineering (University of Moratuwa, Sri Lanka, 2005). She is an IEEE Senior Member and former Vice Chair of the IEEE Women in Engineering NZ North Chapter. Dr. Gunawardane’s research focuses on renewable energy systems, hydrogen and fuel cells, DC microgrids, supercapacitor applications, and power electronics. She has secured significant funding from NZ government and Australian CRC grants as a primary investigator. Her work emphasizes sustainable energy solutions, including grid stability, energy storage optimization, and offshore renewable systems. Her research highlights include pioneering hybrid energy storage systems, advanced DC circuit breaker designs, and hydrogen integration in microgrids. She has published over 111 articles and edited sections on hydrogen energy conversion and management. Awards include a 2018 finalist position in the NZ Women of Influence (Science & Innovation category). Dr. Gunawardane leads funded projects such as the Blue Economy CRC’s offshore power systems and UTS’s energy transition initiatives. She actively contributes to IEEE conferences as an organizer and associate editor of the IEEE Transactions on Power Electronics. Her teaching spans circuit analysis, sustainable energy systems, and energy policy.

Mijin Choiمشاهده پروفایل

دانشیار

• Child Maltreatment
• Child Welfare Systems
• Trauma-Informed Care
• +۱ مورد دیگر

Dr. Mijin Choi is an Associate Professor at the Texas State University School of Social Work, where she joined in 2018. She holds a Ph.D. from the University at Albany, SUNY, an MSW and BA from Ewha Womans University (South Korea), and completed a postdoctoral fellowship at the University of South Florida. She received the Fellowship for University-Based Doctoral Candidates and Faculty for Research in Child Maltreatment from the Children’s Bureau. Her research investigates childhood adversity, child maltreatment, family poverty, out-of-home placement (foster/kinship care), child welfare workforce development, and quantitative methodologies. Current projects examine interrelationships between child abuse, poverty, Alternative Response implementation, and placement services. Recent publications analyze organizational justice in child welfare (2024), racial/ethnic disparities in reunification (2023), and trauma-informed self-care for professionals.

David Danksمشاهده پروفایل

استاد

• AI Ethics
• Causal Inference
• Healthcare Technology
• +۴ مورد دیگر

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

Lauren Zallaمشاهده پروفایل

پژوهشگر

• Social epidemiology
• Health disparities
• HIV research
• +۵ مورد دیگر

Lauren Zalla, PhD, MS, is a Research Associate at the Bloomberg School of Public Health and School of Medicine at Johns Hopkins University. She holds a PhD in Epidemiology from UNC Chapel Hill (2022) and an MS in Public Health from Duke University (2015). Her work focuses on policy approaches to improve health outcomes and reduce inequities among people with HIV in the United States. PhD, University of North Carolina at Chapel Hill (2022) MS, Duke University (2015) Dr. Zalla examines social and structural determinants of health, racial disparities, and effectiveness of interventions like the Ending the HIV Epidemic Initiative and state AIDS Drug Assistance Programs. Her methodological contributions include improving disparity measurement, causal inference techniques, and sub-population estimation. Recent publications analyze spatio-temporal mortality patterns, antidepressant impacts on viral suppression, and integrase inhibitor associations with diabetes in HIV populations. Key awards include the 2025 Lilienfeld Postdoctoral Paper Prize Finalist and 2023 Delta Omega Honorary Society membership. 2025 Lilienfeld Postdoctoral Paper Prize Finalist 2023 Health Disparities Scholar 2023 Bernard G. Greenberg Award 2022 Tyroler Student Paper Prize Finalist Her research integrates spatial epidemiology, causal modeling, and policy evaluation to address systemic inequities in HIV care. Collaborations span clinical and population health domains with major journals including JAMA, American Journal of Epidemiology, and AIDS.

Beth Moraccoمشاهده پروفایل

دانشیار

• Violence prevention
• Domestic violence
• Global health
• +۶ مورد دیگر

Beth Moracco is an Associate Professor in the Department of Health Behavior and Associate Director of the UNC Injury Prevention Research Center at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. She specializes in violence prevention, particularly gender-based violence in global and domestic contexts. Her research emphasizes evaluating interventions, policies, and community engagement to address violence prevention and health disparities. Education: PhD in Health Behavior and Health Education, UNC-Chapel Hill, 1999 MPH in Health Behavior and Health Education, UNC-Chapel Hill, 1992 Certificate in African Studies, University of Florida, 1984 BA in Political Science, University of Florida, 1984 Research Interests: Focuses on primary and secondary prevention of violence, including domestic violence, firearm-related injuries, and gender-based violence. She also explores health policy, injury prevention, and global health interventions. Her work integrates qualitative and quantitative methods to design and evaluate programs and policies. Awards: Edward G. McGavran Award for Excellence in Teaching (2019) Edward Graham Kidder Faculty Service Award (2021) Grants & Projects: Leads studies funded by the National Institute of Justice and CDC, including evaluations of domestic violence protective orders, firearm surrender policies, and refugee support programs. She also evaluates sexual violence prevention initiatives like Wise Guys: The Next Level. Labs & Affiliations: Core faculty at the UNC Injury Prevention Research Center and a research fellow at the Center for New North Carolinians. Active in the North Carolina Administrative Office of the Court’s Domestic Violence Committee.

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.

• 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.

• Developmental Psychology
• Family Psychology
• Child Mental Health
• +۶ مورد دیگر

Professor Bonamy Oliver is a Professor of Developmental and Family Psychology at University College London's IOE - Faculty of Education and Society, leading the Mental Health, Wellbeing and Education Network. Her research focuses on children’s mental health, family relationships, and behavioral genetics. She developed the ESO observation tool, enabling remote parent-child interaction assessments, now used globally. She holds a prestigious 2023 ACAMH Impact Award and contributes to NICE guidelines. Academic roles include Associate Professor (2020-2024) and promoted to full Professor in 2024. She chairs IOE’s Mental Health and Wellbeing Network and directs NurtureLab. Education: PhD in Psychology and Behavioural Genetics (King’s College London, 2006), postdoctoral training at King’s College, followed by faculty roles at Sussex and Goldsmiths. Collaborations span UCL’s Institute of Mental Health, ICH GOS Mental Health Strategic Initiative, and the Accessible Genetics Consortium. Research interests include genetic influences on child development, intervention efficacy, and bridging academic-practitioner gaps. Recent work emphasizes mindful parenting, sibling dynamics, and resilience mechanisms. Articles (2024–2025) address parent-child relationships, polygenic scores in psychopathology, and cross-cultural studies of household chaos. Awards: ACAMH Impact Award (2023), NICE Guidelines contributor Leadership: Chair of IOE’s Mental Health Network, Director of NurtureLab Key Projects: ESO tool, CoTEDS children-of-twins study Advising and grants include interdisciplinary collaborations on child mental health interventions. Labs/Teams: NurtureLab at UCL, cross-institutional mental health initiatives.

Heli Simojokiمشاهده پروفایل

استاد

• Veterinary Science
• Bovine Medicine
• Animal Health
• +۳ مورد دیگر

Heli Simojoki is a Professor at the Faculty of Veterinary Medicine, University of Helsinki, in the Department of Production Animal Medicine. She is affiliated with the Helsinki One Health research organization. Her research focuses on bovine medicine, particularly infectious diseases in livestock, mastitis, and cattle health management. Key research interests include bacterial pathogens (e.g., Fusobacterium necrophorum , Mycoplasma bovis ), vaccination efficacy, antibiotic use in dairy herds, and hoof health (e.g., digital dermatitis and interdigital phlegmon). She has supervised multiple PhD students, including Aino Riihimäki and Atte Sandelin. Her recent publications (2021–2025) address genomic analysis of pathogens, vaccination impacts, and management practices to reduce morbidity and antibiotic usage. She has been involved in projects funded by the Academy of Finland and industry partners like HKScan and Valio. Professional activities include peer reviewing for journals like Journal of Dairy Science and Acta Veterinaria Scandinavica , and contributing to policy discussions on animal welfare (e.g., Ministry of Agriculture and Forestry consultations).

Jianxi Gaoمشاهده پروفایل

دانشیار

• Network Science
• Artificial Intelligence
• Control Theory
• +۳ مورد دیگر

Jianxi Gao is an Associate Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research focuses on network science, particularly network resilience, robustness, and control, integrating network theory, control theory, statistical physics, and operations research. He also explores the intersection of network science and AI, including applications of AI to network analysis and vice versa. His work aims to understand, predict, and control the resilience of complex systems against cascading failures. Key research areas include network resilience in transportation systems, quantum networks, and biological systems, with applications to pandemic response and infrastructure optimization. Gao's contributions span theoretical frameworks and computational tools, such as the NuRsE MATLAB package for network resilience analysis. His GitHub repositories (e.g., NuRsE and NON) showcase his open-source contributions to network science and computational methods. His recent publications address topics like AI-driven network analysis, quantum network percolation, and pandemic-induced healthcare system stress. He actively collaborates on interdisciplinary projects, emphasizing real-world applications of network science principles.

Cary Wuمشاهده پروفایل

دانشیار

• Political Sociology of Health
• Trust
• Inequality
• +۷ مورد دیگر

Cary Wu is an Associate Professor and York Research Chair in Political Sociology of Health at the Department of Sociology, York University. His research focuses on trust, political sociology of health, race and ethnicity, and inequality. He holds appointments in the Faculty of Graduate Studies and contributes to interdisciplinary initiatives like the Dahdaleh Institute for Global Health Research. Wu’s work bridges sociology, political science, and public health, addressing topics such as pandemic governance, social trust dynamics, and health disparities. He has secured grants from major agencies including the Social Sciences and Humanities Research Council (SSHRC) and the Canadian Institutes of Health Research (CIHR), focusing on projects like 'Trust and the Political Sociology of Health' and 'Geopolitics of Anti-Asian Racism.' Education: Ph.D., University of British Columbia Research Interests: Political Sociology of Health, Trust, Inequality, Race and Ethnic Relations, Global Health, and Research Methods. Wu’s publications appear in top journals such as JAMA Network Open , Social Science & Medicine , and BMJ Global Health . His work often emphasizes public engagement, with contributions to media outlets like the Washington Post and Financial Times . He supervises graduate students in Sociology, Political Science, and Health Studies programs at York University. His teaching includes courses on social statistics, research methods, and advanced data analysis. He advises students such as Adri Ananya, Joanne Ong, and Chung-Ho Wang. Active in editorial roles, Wu serves on the International Editorial Board of Ethnic and Racial Studies and the COVID-19 Social Impacts Network Expert Advisory Committee . His research on anti-Asian racism and pandemic responses has gained international attention, reflecting his commitment to addressing societal challenges through rigorous scholarship.

Keke Laiمشاهده پروفایل

دانشیار

• Quantitative Psychology
• Structural Equation Modeling
• Missing Data Analysis
• +۵ مورد دیگر

Keke Lai is an Associate Professor of Quantitative Psychology at the University of California, Merced. Previously, she held positions at the University of Houston and Arizona State University. She earned her Ph.D. in Quantitative Psychology from the University of Notre Dame (2012), and a B.A. in English from China (2005). Her research focuses on advanced statistical methodologies in psychology and education, including structural equation modeling (SEM), robust statistical methods, model evaluation, longitudinal/multilevel data analysis, missing data techniques, and Bayesian statistics. She addresses critical gaps in SEM methodology, such as accurate estimation under missing data, nonnormal distributions, and model misspecification. Her recent work emphasizes improving confidence intervals for fit indices (e.g., RMSEA, CFI), comparing nonnested models, and developing methods for standardized parameters in misspecified models. These contributions enhance the reliability of statistical analyses in psychological research. Lai’s publications appear in top journals like Structural Equation Modeling and Psychometrika . She advises graduate students, including X. Zhang. Her website is https://sites.google.com/view/laikeke .

• Hydrology
• Hydrogeology
• Climate Change Impact
• +۳ مورد دیگر

Nathan Young is an Assistant Professor in the Department of Sustainable Resources Management at SUNY College of Environmental Science and Forestry (ESF). His research focuses on physical hydrology and environmental science, with a particular emphasis on understanding how heat, water, and solutes move through the environment in response to climate change and landscape alterations such as permafrost thaw, sea-level rise, and environmental hazards like wildfires and landslides. He integrates fieldwork, numerical modeling, and quantitative analysis to improve predictive models for sustainable water management. Education includes a Ph.D. in Geology and Environmental Science (2019, Iowa State University), an M.S. in Earth and Environmental Science (2014, Wright State University), and a B.A. in Geology and Sociology/Anthropology (2012, Earlham College). Research interests span hydrogeology, climate change impacts, permafrost dynamics, and groundwater flow modeling. His work often involves advanced tools like MATLAB, R, Python, and numerical models such as MODFLOW and HydroGeoSphere. He emphasizes fieldwork in student mentorship, valuing hands-on experience and quantitative skills. Teaching includes courses like Watershed Hydrology (FOR 340) and Watershed Ecology and Management (FOR 442). Current advisee Ford Ford is pursuing an MS in Environmental Science. Awarded funded graduate assistantships and undergraduate research positions are available to qualified candidates with academic excellence, research experience, and enthusiasm for hydrological studies. His lab focuses on cryohydrogeological systems, particularly in Arctic regions like Nunavik, Québec, and investigates the interplay between thermal regimes, permafrost degradation, and subsurface hydrology.

Indratmoمشاهده پروفایل

دانشیار

• Information Visualization
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Dr. Indratmo is an Associate Professor and Chair of the Department of Computer Science at MacEwan University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Manitoba, and a B.Eng. from Petra Christian University. His research focuses on information visualization, human-computer interaction, and social computing, with a particular emphasis on developing tools for analyzing social media data. He has contributed to projects like a visual analytical tool for sentiment analysis in Edmonton's traffic-related social media data and studies on multimedia content effectiveness in communication strategies. Indratmo teaches a range of computer science courses, emphasizing student engagement through transparent pedagogical practices. His work bridges technical innovation with social impact, aiming to enhance communication strategies for organizations through data-driven insights. He has published extensively in journals like Big Data Research and Visual Informatics , and his research spans topics from educational visualization tools to smart mirror applications and geospatial heritage systems. Outside academia, he enjoys outdoor activities in the Canadian Rockies. Notable collaborations include work on stacked bar chart efficacy, web-based course registration models, and exploratory browsing frameworks. His research portfolio demonstrates a commitment to both theoretical advancement and practical applications in computing.