جست‌وجوی استاد و پژوهشگر

Allegra Montemayorمشاهده پروفایل

دانشیار

• High and Low Incidence Disabilities
• Behavior Analysis
• Emergent Bilinguals in Special Education
• +۱ مورد دیگر

Allegra Montemayor serves as an Associate Professor of Practice in the Department of Interdisciplinary Learning and Teaching at the University of Texas at San Antonio's College of Education and Human Development. Concurrently, she works as a specialist for the Office of Disability Services at a local education agency, supporting special education teachers in fostering student success through evidence-based practices. Education B.A. in Interdisciplinary Studies, University of Texas at San Antonio M.A. in Special Education, University of Texas at San Antonio Ph.D. in Interdisciplinary Learning and Teaching with specialization in Special Education, University of Texas at San Antonio Research Focus : Dr. Montemayor's scholarly work centers on High and Low Incidence Disabilities , Behavior Analysis , and innovative approaches for Emergent Bilinguals in Special Education . Her research emphasizes Specially Designed Instruction methodologies to address complex learning needs within diverse educational settings, particularly focusing on culturally responsive interventions for bilingual students with disabilities. Honors and Awards University Life Award, Outstanding Faculty (2022) UTSA Honors Alliance Outstanding Faculty Nomination (2014) University Life Award, Outstanding Graduate Student (2013) China Graduate Student Research and Colloquium Project Award (2013) UTSA Finalist, University Life Award, Outstanding Graduate Student (2012) UTSA Mexico Center Educational Research Fellowship ($2,500) (2012) Doctoral Fellowship for Department of Interdisciplinary Learning and Teaching (2011-2013) Academic Leadership : As a dedicated educator, Montemayor prepares future special education teachers while actively contributing to professional development initiatives. Her grant-funded work includes the UTSA Mexico Center Educational Research Fellowship supporting cross-border educational research and the multi-year Doctoral Fellowship advancing special education pedagogy. She maintains dual-practice engagement between university instruction and K-12 specialist support, bridging theory and classroom application in special education.

• Cardiovascular Diseases
• Chronic Disease
• Epidemiology Methods
• +۷ مورد دیگر

Dr. Yuan Lu serves as Assistant Professor of Medicine (Cardiology) and of Biomedical Informatics and Data Science and of Epidemiology (Chronic Diseases) at Yale School of Medicine. She is affiliated with multiple departments including Cardiovascular Medicine (primary appointment), Biomedical Informatics & Data Science, and Chronic Disease Epidemiology. Dr. Lu is also a key member of the Yale Center for Outcomes Research and Evaluation (CORE), where she collaborates with renowned researchers including Dr. Harlan Krumholz. Dr. Lu earned her ScD and MSc degrees in Global Health and Population from Harvard School of Public Health. Her educational background in epidemiology and global health has shaped her research trajectory at the intersection of cardiovascular disease prevention, clinical informatics, and digital health. Dr. Lu's research focuses on cardiovascular diseases prevention through implementation science, with particular emphasis on hypertension management, digital health interventions, and health equity. Her work leverages electronic health records from large healthcare systems to identify patients with persistent hypertension and design decision support systems to improve care. She has successfully completed an NHLBI K12 career development award in implementation science and currently serves as Principal Investigator for an NIH R01 grant leveraging real-world data from five electronic health record databases encompassing over 100 million US adults. Dr. Lu's publication portfolio demonstrates a strong focus on cardiovascular outcomes research, health disparities, and innovative treatment approaches. Her work spans clinical trials, epidemiological studies, and implementation science projects, with particular attention to racial and ethnic disparities in cardiovascular care. She has authored over 150 peer-reviewed publications in leading journals including The Lancet, JAMA, BMJ, Circulation, and JACC, with her work cited more than 50,000 times. Dr. Lu has received numerous honors including the 2022 John H. Laragh Research Award from the American Journal of Hypertension, and is a Fellow of both the American Heart Association and the American College of Cardiology. She currently serves as an Executive Associate Editor at JACC and has been recognized by Yale's Office of Health Equity Research for her contributions to health equity research. As a mentor, Dr. Lu advises multiple postdoctoral fellows, graduate students, and medical students. She has successfully completed an NHLBI K12 career development award and currently leads an NIH R01 grant focused on generating real-world evidence for hypertension treatment. Her collaborative work extends internationally, including groundbreaking projects between Yale University and the Chinese National Center for Cardiovascular Diseases in Beijing, such as the Millions Persons Project that assembles population health resources from 5 million individuals across China. Dr. Lu is actively involved with the Yale/YNHH Center for Outcomes Research and Evaluation (CORE), contributing to its mission of improving quality, transparency, and equity in healthcare. Her work exemplifies CORE's commitment to applying human-centered design, methodological rigor, and clinical insight to address pressing healthcare challenges.

• Health workforce development
• Health information systems
• Food security and nutrition
• +۳ مورد دیگر

Professor Hirotsugu Aiga is a full-time Professor at the School of Tropical Medicine and Global Health, Nagasaki University (Japan), with concurrent affiliation to the university’s Institute of Tropical Medicine (NEKKEN). He also serves as Adjunct Professor at The George Washington University Milken Institute School of Public Health and has held senior advisory roles with WHO, JICA, WFP, and the International Federation of Red Cross & Red Crescent Societies. Education PhD, Human Resources for Health – The University of Tokyo MSc, Environmental Health – The University of Tokyo MEng (ABD), Inorganic Polymer Chemistry – Waseda University BEng, Functional Polymer Chemistry – Waseda University Research Interests Professor Aiga’s work spans five overarching domains: Health workforce development – policy analysis, planning, and evaluation of national HRH systems across Cambodia, DRC, Fiji, Ghana, Tonga, Vietnam, and Vanuatu. Household food security & nutrition – development of international food-security guidelines and large-scale nutrition/mortality surveys in DRC, India, Liberia, Madagascar, Malawi, Mozambique, and Sudan. Epidemiology of infectious diseases – diarrhoeal disease and neglected tropical diseases (Chagas, Buruli ulcer) in El Salvador, Ghana, Honduras, and the Philippines. Maternal and child health – design, implementation and evaluation of home-based records (Maternal & Child Health Handbooks) in Angola, Mozambique, and Vietnam. Health information systems – strengthening of facility- and population-based HIS/HMIS in Ethiopia, Guatemala, Indonesia, Pakistan, and South Africa. Recent Publication Trends Between 2022 and 2024 his peer-reviewed output focuses on community-based interventions to boost maternal health-service uptake in rural Ghana, risk factors for anaemia in pregnancy, COVID-19-related disruptions to food availability and affordability, and machine-learning-based high-resolution mapping of maternal-child health coverage in Nigeria. These studies combine rigorous epidemiological designs (quasi-experimental, interrupted time-series, cluster RCTs) with advanced analytics (machine learning, geospatial modelling) to inform evidence-based policy in low- and middle-income countries. Scientific Awards & Recognition No specific awards, medals or named fellowships are detailed in the provided text. Grants, Advising & Teaching Professor Aiga has served as principal investigator or senior adviser on multiple large-scale projects funded by JICA, WHO, WFP and other agencies. While the exact grant amounts are not listed, his responsibilities include overall study design, policy guidance, capacity-building of local research teams, and direct mentorship of Masters and Doctoral candidates enrolled at Nagasaki University. He currently teaches full-time in both the Masters and Doctoral programmes at the School of Tropical Medicine and Global Health and has lectured at Kitasato University, the University of Tokyo, University of Geneva, Yokohama National University, and Tokyo University of Agriculture and Technology. Laboratory & Research Teams He leads Professor Hirotsugu Aiga’s Lab at Nagasaki University and collaborates with a multidisciplinary network of over 50 co-authors spanning Japan, Ghana, Nigeria, Angola, the U.S., Switzerland and beyond. Core partners include experts in epidemiology, biostatistics, health economics, nutrition, and health-systems modelling.

• Myopia Genetics
• Genomic Epidemiology
• Vision Science
• +۳ مورد دیگر

Professor Jeremy Guggenheim is a leading researcher in myopia genetics at Cardiff University's School of Optometry and Vision Sciences. With over two decades of research experience, he has made significant contributions to understanding the genetic and environmental factors contributing to short-sightedness. His work has been instrumental in identifying over four hundred genetic variants associated with myopia susceptibility through international collaborative efforts. His research interests span myopia genetics, genomic epidemiology, and the gene-environment interactions that influence refractive error development. Professor Guggenheim employs advanced genetic techniques including genome-wide association studies, Mendelian randomization, and polygenic risk scoring to unravel the complex etiology of myopia. His work bridges basic science discoveries with clinical applications for early detection and prevention of high myopia. Analysis of his recent publications (2023-2025) reveals a strong focus on genetic risk prediction, environmental modifiers of myopia development, novel treatment mechanisms, and international consensus building for myopia management. His work increasingly incorporates machine learning approaches for disease detection while maintaining a strong foundation in genetic epidemiology. College of Optometrists Biennial Arthur Bennett Prize for Outstanding Research (2012/2013) ARVO Gold Fellow Award (2022) Professor Guggenheim has supervised numerous PhD students throughout his career and currently leads the Investigative Techniques undergraduate module. He serves on editorial boards for Ophthalmic & Physiological Optics, Translational Vision Science & Technology, and as Associate Editor for Investigative Ophthalmology and Visual Science. His research is supported through multiple international collaborations including the Consortium for Refractive Error and Myopia (CREAM) and the UK Biobank Eye and Vision Consortium.

Jing Yangمشاهده پروفایل

استاد

• Data Visualization
• Visual Analytics
• High Dimensional Data Analysis
• +۷ مورد دیگر

Jing Yang is a full Professor and Director of MS CS Program in the Computer Science Department at the University of North Carolina at Charlotte (UNCC). She has been actively involved in data visualization and visual analytics research since joining UNCC in 2005 after completing her PhD at Worcester Polytechnic Institute. Dr. Yang earned her Bachelor's degrees in Engineering Mechanics and Computer Science from TsingHua University in 1997 and completed her Ph.D. in Computer Science from Worcester Polytechnic Institute in May 2005 under advisors Matthew O. Ward and Elke A. Rundensteiner. Her research focuses on developing visual analytics techniques for abstract data including multidimensional data, time-oriented data, networks, hierarchies, text documents, and trajectory data. She conducts design studies for application domains such as sports, bioinformatics, finance, network security, and health, while exploring fundamental visualization topics like interactions, insight management, clustering-based approaches, and animations. Her recent work emphasizes sports analytics, urban data, and multivariate time series visual analytics. Analysis of Dr. Yang's publication record reveals a strong focus on practical applications of visualization techniques across diverse domains. Her work consistently bridges theoretical visualization frameworks with real-world data challenges, particularly in transportation (taxi trajectories), sports (tennis match analysis), financial transactions, and bioinformatics. The publications demonstrate an evolution from foundational visualization techniques to increasingly sophisticated domain-specific applications. Dr. Yang has secured substantial research funding from NSF, EPA, DHS, and industry partners including Google and Bank of America. Her grants portfolio includes significant projects like TrajAnalytics (NSF, $200,950), Visualizing Event Dynamics (NSF EAGER, $75,317), and Visualizing High Dimensional Categorical Datasets (Google Faculty Research Award, $60,000), among others totaling over $4 million in research support. As an educator, Dr. Yang has taught numerous courses including Visual Analytics, Information Visualization, and Database Design. She directs the Charlotte Visualization Center and has mentored numerous students through research projects. Her collaborative approach is evident in her extensive co-authorship network spanning multiple institutions and disciplines. Current research directions include narrative animation for streaming text visualization and advanced techniques for exploring high-dimensional categorical datasets.

Natalia Imad Khalafمشاهده پروفایل

استادیار

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +۳ مورد دیگر

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

• Human Resource Management
• HR Process Approach
• Employee Perceptions of HR
• +۵ مورد دیگر

Professor Karin Sanders serves as Associate Dean (Research) at the UNSW Business School, where she is affiliated with the School of Management and Governance. With over two decades of academic experience, she has established herself as a leading scholar in Human Resource Management, particularly focusing on the HR process approach and employee perceptions of HR practices. Her research has been published in top-tier journals including HRM (Wiley), Academy of Management Learning & Education, Human Resource Management Journal, and International Journal of HRM. Professor Sanders' research primarily centers on the HR process approach, examining how employees' perceptions, understanding, and attributions of HR practices influence their attitudes and behaviors. Her work explores critical areas such as informal learning activities, cooperative behavior, commitment, knowledge sharing, team learning, and absenteeism. She has made significant contributions to understanding the effects of alignment between line managers and HR managers on organizational climate, defined as shared perceptions of the organization among employees within a team. Her methodological approach often employs multi-actor, multi-level, and multi-method research designs, reflecting the complexity of HR phenomena in organizational contexts. As an influential academic leader, Professor Sanders serves as Editor for Special Issues at the International Journal of HRM and Associate Editor for Human Resource Management and Frontiers of Business Research in China. She sits on the Editorial Boards of six HRM and management journals. Previously serving as Head of School for Management between 2015 and 2019, she was also a member of the Executive Committee of the HR Division Academy of Management from 2013 to 2018. Her recent work has increasingly focused on HRM during crises, including the development of HR analytics and responses to the pandemic. Professor Sanders has secured substantial research funding, including an Australian Research Council Linkage Project on capacity building in the Not-For-Profit sector and multiple industry collaborations. She has edited several books, including the "Handbook on HR Process Research" (2021) with Huadong Yang and Charmi Patel. Her scholarly contributions bridge theoretical rigor with practical relevance, influencing both academic discourse and HR practice worldwide.

Ben K. Grunwaldمشاهده پروفایل

استاد

• criminal law
• criminal procedure
• constitutional law
• +۴ مورد دیگر

Ben K. Grunwald serves as Professor of Law at Duke University School of Law, where he has been a faculty member since 2017 after completing a Bigelow Fellowship at the University of Chicago Law School. His scholarly work bridges legal theory and empirical analysis to address critical issues in criminal justice systems. JD, PhD in Criminology, AM in Statistics, and BA from the University of Pennsylvania Clerked for the Honorable Thomas Ambro on the U.S. Court of Appeals for the Third Circuit Bigelow Fellow at the University of Chicago Law School (2016-2017) Professor Grunwald's research program centers on evidence-based criminal justice reform, with particular emphasis on prosecutorial power dynamics, sentencing fairness, juvenile justice boundaries, and police accountability mechanisms. His methodological approach integrates advanced statistical techniques with legal scholarship to produce actionable insights for policymakers. Current projects examine racial bias in criminal records, optimal decarceration strategies, and the labor market consequences of police discipline. His recent publications demonstrate a consistent focus on translating empirical findings into practical legal reforms, particularly in law enforcement practices and juvenile justice systems. Through interdisciplinary collaborations with criminologists and statisticians, his work challenges conventional wisdom using rigorous data analysis while maintaining strong connections to constitutional principles and procedural justice. Professor Grunwald teaches foundational courses including Criminal Law and Criminal Procedure: Investigation, along with specialized seminars in Criminology and Criminal Procedure that emphasize empirical methodologies. His curriculum development reflects his commitment to training future lawyers in evidence-based legal practice and policy analysis.

Matti Siemiatyckiمشاهده پروفایل

استاد

• Infrastructure Planning
• Transportation
• Cycling
• +۳ مورد دیگر

Matti Siemiatycki is a Professor at the Department of Geography and Program in Planning, and Director of the Infrastructure Institute at the University of Toronto's School of Cities. His work spans infrastructure planning, financing, and project delivery with a focus on urban contexts. Education Ph.D., University of British Columbia M.Sc., Oxford University B.A., Ryerson University His research explores infrastructure planning across scales—from subway systems to bike lanes—and analyzes governance, policy, and politics in regional transportation strategies. He emphasizes evidence-based investment decisions, the integration of infrastructure into urban environments, and the diversity gap in infrastructure industries. Recent publications highlight the gender dimensions of infrastructure, the design consequences of public-private partnerships (PPPs), and mixed-use buildings as policy tools. He has conducted global case studies in cities like Toronto, London, and Sydney. Scientific Awards Canada Research Chair Matti consults extensively on infrastructure policy and frequently contributes to media discussions on urban planning, PPPs, and traffic management. He leads advisory initiatives through the Infrastructure Institute's programs, including Groundwork: SPRE Accelerator, FutureBUILDS, and Roadmap Connect. Labs/Teams Infrastructure Institute (School of Cities, University of Toronto) Groundwork: SPRE Accelerator FutureBUILDS Roadmap Connect

Timothy Menziesمشاهده پروفایل

استاد

• Artificial Intelligence
• Software Engineering
• Data Science
• +۵ مورد دیگر

Timothy Menzies is a full Professor in the Department of Computer Science at North Carolina State University's College of Engineering. He serves as the director of the Irrational Research lab (mad scientists r'us) and holds editorial positions as editor-in-chief of the Automated Software Engineering journal and associate editor for IEEE Transactions on Software Engineering. With over 300 publications and more than 24,000 citations, Menzies is a globally recognized leader in software engineering research. Menzies' research focuses on developing computer systems that make optimal decisions with minimal data, specializing in artificial intelligence, intelligent agents, data sciences, analytics, and software engineering. His pioneering work in data-driven, explainable, and minimal AI for software systems has redefined defect prediction, effort estimation, and multi-objective optimization. He is particularly known for his contributions to empirical software engineering, emphasizing transparency and reproducibility. As the co-creator of the PROMISE repository, he helped establish modern empirical software engineering by demonstrating that small, interpretable AI models can outperform larger, more complex ones. Menzies' recent publications reveal several key trends in his research: a growing emphasis on ethical considerations in AI deployment, particularly in sensitive domains like legal systems; continued innovation in software analytics with a focus on hyperparameter optimization tailored specifically for software engineering tasks; exploration of causal relationships in software analytics; and development of techniques that work effectively with limited data, including landscape analysis, surrogate learning, and active learning approaches. Mining Software Repositories Foundational Contribution Award (2017) Carol Miller Graduate Lecturer Award (2016) IBM Faculty Award (2016, 2017) ACM Fellow (2025) ASE Fellow (2024) IEEE Fellow Professor Menzies has advised 24 Ph.D. students throughout his career, with recent completions including Andre Motta (April 2025) and Xueqi Yang (October 2024). His research has secured over $19 million in funding from prestigious agencies including NSF, DARPA, and NASA, as well as industry partners like Meta, Microsoft, and IBM. Current grants focus on improving machine learning model efficiency, adapting empirical software engineering methods to computational science, vulnerability detection, and software analytics at scale using transfer learning across 10,000+ GitHub projects. Menzies has developed innovative approaches to help developers navigate the challenges of AI implementation while maintaining ethical standards and practical effectiveness. As director of the Irrational Research lab, Menzies leads a team focused on creating AI tools that are not only intelligent but also fair, transparent, and trustworthy. The lab's work emphasizes practical applications of AI in software engineering while addressing the human factors involved in developer-AI collaboration. Current projects include developing methods for better fuzzing with L3harris, improving vulnerability detection through smart pruning techniques, and creating AI platforms for workforce empowerment through credential gap diagnostics.

Jan Bergströmمشاهده پروفایل

استادیار

• Clinical Psychology
• Cognitive Behavioral Therapy (CBT)
• Digital Psychological Interventions
• +۹ مورد دیگر

Jan Bergström is Assistant Professor of Clinical Psychology at Stockholm University's Department of Psychology, where he serves as Director of Studies for the Postgraduate Psychotherapist Program and Head of the Stockholm University Psychology Clinic. His research focuses on self-help based CBT and digital psychological interventions, with particular emphasis on clinical behavior analysis, psychotherapy supervision, Behavioral Activation for depression, exposure-based interventions for anxiety/OCD, and Functional Analytic Psychotherapy (FAP). He also investigates metatheoretical aspects of psychotherapy and mental health treatment mechanisms. Research group: Clinical psychology, neuroscience and health Key clinical interests: Mental health problems in neurodiverse populations (autism, ADHD) His publications demonstrate extensive work on internet-delivered therapies for panic disorder, OCD, and depression, including comparisons of blended vs full treatment modalities. He has developed non-heteronormative psychometric instruments like the revised Social Interaction Anxiety Scale (SIAS). Current projects include ZeroOCD smartphone app development for OCD treatment and iMERAT emotion recognition training for adolescents. The academic literature shows his focus on treatment efficacy, therapist time optimization (47% reduction in blended models), and functional analytic approaches to mental health classification. His cross-disciplinary work combines psychological theory with technology-mediated solutions, bridging clinical practice, neuroscience, and digital health innovations.

Robin Rasمشاهده پروفایل

استاد

• Superhydrophobic surfaces
• Wetting phenomena
• Droplet dynamics
• +۷ مورد دیگر

Robin Ras is a Professor and Head of Department at the Department of Applied Physics at Aalto University, where he leads the Soft Matter and Wetting research group. His work focuses on surface science, particularly superhydrophobic and superoleophobic materials, with applications spanning renewable energy, biomedical engineering, and agricultural science. Ras earned his Master's degree in Engineering and Technology from Catholic University of Leuven in 1999, followed by a Doctoral degree from the same institution in 2003. His academic journey has positioned him as a leading researcher in wetting phenomena and nanoscale surface engineering. His research interests center on understanding and manipulating liquid-solid interactions at micro and nanoscales. Ras's work explores how surface topography and chemistry affect wetting behavior, with particular focus on superhydrophobic surfaces, droplet dynamics, and liquid-repellent materials. His group develops innovative approaches for creating surfaces with controlled wettability for applications ranging from self-cleaning materials to advanced biomedical devices. The research trends evident in Ras's recent publications show a strong focus on precision control of liquid-solid interfaces, with increasing attention to underwater applications, molecular-scale surface engineering, and biomimetic approaches. His work bridges fundamental surface science with practical applications in energy, healthcare, and sustainability. Among his notable scientific achievements: Anton Paar Research Award for Instrumental Analytics & Characterization (2018) for Scanning Droplet Adhesion Microscopy invention Academy of Finland Research Fellow (2011-2016) ERC Consolidator Grant (2017) Ras has secured significant research funding including the ERC Consolidator Grant for the SuperRepel project (2017-2022) focused on superslippery liquid-repellent surfaces, and the Academy of Finland project 'Electric Field; an Active Method to Control Phase Change' (2019-2022). His research group actively collaborates with international institutions and industry partners to translate fundamental discoveries into practical applications. The Soft Matter and Wetting research group under Ras's leadership combines experimental and theoretical approaches to investigate surface phenomena. The team utilizes advanced imaging techniques, precision surface fabrication methods, and computational modeling to understand and engineer surfaces with tailored wetting properties. Their work has applications across multiple sectors including renewable energy, biomedical devices, and sustainable agriculture.

Kristen Jones-Bonofiglioمشاهده پروفایل

دانشیار

• Health Care Ethics
• Mental Health
• Well-being
• +۳ مورد دیگر

Dr. Kristen Jones-Bonofiglio is an Associate Professor and Director of the School of Nursing at Lakehead University. She also serves as Director of the Centre for Health Care Ethics within the Faculty of Health & Behavioural Sciences. Her work bridges nursing practice with ethical frameworks, focusing on moral distress and compassionate care. Academic Background: PhD in Educational Studies (Cognition & Learning Stream), Lakehead University MPH in Nursing Specialization, Lakehead University BScN, Lakehead University Research Focus: Dr. Jones-Bonofiglio's research addresses ethical decision-making in health care, moral distress, teaching compassion in nursing, substance use in inpatient settings, and digital storytelling. She integrates theory with practical applications, such as patient care planning using computer-aided design. Publication Trends: Recent works include pandemic ethics, rural health care frameworks, nurse practitioner retention, and patient-oriented research. Many publications analyze moral distress in acute and community settings, while others explore digital storytelling and educational innovations. Scientific Contributions: AMS Phoenix Fellow Co-editor of Health Care Ethics through the Lens of Moral Distress (2020) Editorial Board, Global Bioethics Enquiry Leadership & Collaboration: She leads the Centre for Health Care Ethics and contributes to EPID@Work Research Institute. Her affiliations include the Centre for Research on Aging & Health. She supervises student theses and emphasizes interdisciplinary collaboration.

Sara Dubowsky Adarمشاهده پروفایل

استاد

• Environmental Epidemiology
• Air Pollution Health Effects
• Noise Exposure
• +۷ مورد دیگر

Sara Dubowsky Adar is a Professor of Epidemiology and Global Public Health at the University of Michigan School of Public Health. Her research integrates epidemiology, environmental health, exposure science, and biostatistics to investigate environmental hazards' impacts on human health, with primary focus on air pollution and noise effects on healthy aging. Her educational background includes: ScD in Environmental Epidemiology from Harvard T.H. Chan School of Public Health (2005) MHS in Environmental Health from Johns Hopkins School of Public Health (1998) BS in Environmental Engineering from Massachusetts Institute of Technology (1996) Dr. Adar's research centers on environmental risk factors for aging, particularly examining how living environments influence healthy aging trajectories through cross-disciplinary collaborations with environmental epidemiologists, climatologists, exposure scientists, economists, and demographers. Her work spans air pollution, noise exposure, cardiovascular disease, and intervention strategies to improve health outcomes. Her extensive publication record reveals strong thematic patterns across environmental exposures and neurological/cognitive outcomes, with increasing focus on source-specific particulate matter, dementia pathways, and intervention effectiveness in recent years. The research demonstrates methodological sophistication through large cohort studies, randomized trials, and harmonized international assessments. Professional recognition includes: Sandra A. Daugherty Award for Excellence in Cardiovascular Epidemiology (American Heart Association) Excellence in Teaching Award (University of Michigan School of Public Health) Dr. Adar serves as Associate Editor at Environmental Health Perspectives and previously held leadership roles including Secretary/Treasurer of the International Society for Environmental Epidemiology. Her research group actively develops evidence-based interventions to reduce environmental health hazards while maintaining strong educational commitments to trainees. The Adar Research Group operates within the Department of Epidemiology at Michigan Public Health, focusing on interdisciplinary environmental health research with particular emphasis on vulnerable populations including children, older adults, and communities in low-resource settings globally.

Hye-Chung Kumمشاهده پروفایل

استاد

• Health Informatics
• Data Science
• Privacy-Preserving Record Linkage
• +۴ مورد دیگر

Hye-Chung Kum is a Professor in the Department of Health Policy & Management at Texas A&M University, where she pioneers Population Informatics to transform digital data into evidence-based health policy solutions. Her work bridges computer science, public health, and social work to address critical data challenges in healthcare systems. Education: PhD, University of North Carolina at Chapel Hill (UNC-CH), 2004 MSW (Master of Social Work), UNC-CH, School of Social Work, 1998 MS, UNC-CH, Department of Computer Science, 1997 BS, Yonsei University, Seoul, Korea, Department of Computer Science, 1995 Research Vision: Dr. Kum develops privacy-preserving human-computer hybrid systems for cleaning and integrating chaotic real-world data (e.g., EHRs, administrative records). Her Population Informatics framework enables ethical large-scale analysis while addressing data genocide in marginalized communities through innovations like the Secure Decoupled Linkage (SDLink) system. Publication Trends: Recent work (2024-2025) reveals three dominant threads: (1) Mental health service utilization dynamics during/post-pandemic, (2) Racial/ethnic disparities in emergency department use and cancer outcomes, and (3) Ethical data sharing frameworks for vulnerable populations. Her Texas-focused studies on Medicaid payment models and AI-driven record linkage demonstrate practical policy applications. Research Infrastructure: As director of the Population Informatics Lab, she leads cross-disciplinary teams developing Privacy-by-Design tools that balance public health needs with data sovereignty—particularly for American Indian and Alaska Native communities. Her grant-funded work consistently addresses Medicaid transformation and healthcare cost drivers through secondary data analytics.