جستجوی استاد راهنمای دانشگاهی

• Mathematics Education
• Teacher Professional Competence
• Statistical Reasoning
• +۱۲ مورد دیگر

Prof. Dr. Stefan Krauss is a full Professor and holds the Chair of Mathematics Education at the Faculty of Mathematics, University of Regensburg, where he has been a faculty member since 2009. He leads research in teacher professional competence, statistical reasoning, and educational assessment, notably through the COACTIV and FALKO projects. Education: Habilitation in Mathematics Education, University of Kassel, 2009 Doctorate in Education, Free University of Berlin, 2001 Studies in Mathematics and Physics, Friedrich-Alexander University Erlangen-Nuremberg, 1995 His research focuses on mathematics education , particularly teacher knowledge , Bayesian and statistical reasoning , cognitive activation , and visualization tools in probability education. He investigates how teachers’ professional competence affects classroom quality and student outcomes. His work bridges cognitive psychology, didactics, and large-scale educational research. His recent publications show a strong trend toward empirical studies on Bayesian reasoning , innovative visualizations (e.g., frequency nets), diagnostic skills , and transdisciplinary educational research . He frequently publishes in high-impact journals in education and psychology. He teaches courses in the didactics of algebra, geometry, stochastics, and number systems, and supervises academic staff and student assistants. He has no listed scientific awards in the provided text. He is actively involved in advising and research grants through major projects like COACTIV and FALKO, which examine teacher competence and transdisciplinary educational practices. He collaborates with a large team across disciplines and institutions. He leads a research group focused on teacher education and cognitive aspects of mathematical instruction, contributing to both theoretical frameworks and practical teacher training tools.

• Human health impacts of climate change
• Ethics in climate change and health research
• Climate risk management
• +۵ مورد دیگر

Dr. Admire Nyamwanza serves as Lecturer in Health Systems and Climate Change at the Institute for Global Health and Development (IGHD) at Queen Margaret University, a position he assumed in January 2025. With over 15 years of professional experience spanning both stable and fragile contexts across Africa, his work bridges climate science, public health, and social justice. His academic journey includes previous appointments at the University of Cape Town, Human Sciences Research Council (South Africa), and the Institute of Natural Resources, reflecting his deep commitment to addressing climate challenges in African contexts. Dr. Nyamwanza holds a PhD in Development Policy and Management from the University of Manchester and a Masters in Sociology and Social Anthropology from the University of Zimbabwe. His research expertise centers on human health impacts of climate change, ethics in climate change and health research, climate risk management, resilience and transformative adaptation, and climate change-food security linkages. Methodologically, he specializes in transdisciplinary mixed methods research, participatory action research, impact assessment and evaluation, and applied research with engaged scholarship. His publication record demonstrates remarkable productivity and impact, with numerous high-quality articles published in leading journals. Recent work explores cutting-edge intersections of climate justice and extractive industries (2025), psychosocial health impacts of climate adaptation (2023), transformative human development approaches to climate resilience (2023), and conceptual frameworks linking adaptation strategies with nutrition outcomes (2022). His research consistently emphasizes community-centered approaches, integrating diverse knowledge systems to develop contextually appropriate adaptation solutions. Dr. Nyamwanza has secured significant research funding from major international organizations including Wellcome Trust, World Health Organisation, Grand Challenges Canada, International Development Research Centre (IDRC), United Kingdom's Department for Environment, Food and Rural Affairs (DEFRA), and South African government departments. His work demonstrates strong international collaboration, with field research experience across South Africa, Namibia, Tanzania, Zimbabwe, Zambia and Mozambique. As an active member of the Development Studies Association (DSA), Adaptation Research Alliance, and The Adaptation Network, Dr. Nyamwanza contributes to broader scholarly and policy conversations on climate adaptation. His teaching at QMU focuses on the critical intersection of health systems and climate change, preparing the next generation of scholars and practitioners to address these complex challenges with both technical expertise and ethical commitment.

Christopher I Amosمشاهده پروفایل

استاد مدعو

• Genetic Epidemiology
• Statistical Genetics
• Cancer Genetics
• +۵ مورد دیگر

Christopher I Amos, PhD serves as Adjunct Professor of Biomedical Data Science at Dartmouth's Geisel School of Medicine and Associate Director for Population Sciences at Norris Cotton Cancer Center. His academic home resides within the Department of Biomedical Data Science under the Geisel School of Medicine, with additional affiliations through the Center for Genomic Medicine, Dartmouth Cancer Center, Quantitative Biomedical Sciences program, and SYNERGY research initiative. Dr. Amos specializes in developing statistical methodologies for genetic epidemiology with particular focus on cancer susceptibility. His research portfolio spans Genetic epidemiology of lung, breast, colon, ovarian and prostate cancers Statistical genetics methods for rare variant analysis Genomic analysis of autoimmune diseases Next-generation sequencing applications in personalized medicine Design criteria for population-based genetics studies His work prominently features leadership in the international GAME-ON consortium investigating genetic and environmental causes of major cancers. Current research directions emphasize large-scale genomic analyses including the Oncoarray project studying 500,000 individuals across multiple cancer types. His methodological innovations in variance-components approaches and rare variant analysis have established foundational frameworks in the field. Dr. Amos maintains active research funding through multiple NIH grants including the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium (U19 CA148127), Topography and Genetics of Smoking in American Indians (1 P50 CA148110-02), and Norris Cotton Cancer Center Support Grant (5 P30 CA0123108-28). His leadership extends to the UT MD Anderson Cancer Center SPORE in Melanoma (P50 CA093459) and teaching responsibilities for courses including Statistical Genetics, Genetics Then and Now, Seminars in Biostatistics, and Categorical Data Analysis.