جست‌وجوی استاد و پژوهشگر

• Didactics of Industrial Technology
• Engineering Science Didactics
• Science Didactics
• +۷ مورد دیگر

Fatima Bousadra is an Associate Professor in the Faculty of Education at the University of Sherbrooke, Canada. She has held academic positions at the institution since 2009, progressing from Chargée de cours (2009-2010), to Professeure chargée d'enseignement (2012-2014), to Professeure adjointe (2014-2019), and currently serves as Professeure agrégée (Associate Professor) since 2019. She also holds leadership positions as Director of the Centre de recherche sur l'enseignement et l'apprentissage des sciences (CREAS) since 2021, having previously served as Co-director from 2018-2021. Her educational background includes: PhD in Education (2014) from University of Sherbrooke Master's in Education (2006) from University of Sherbrooke Diploma from École Supérieure de l'enseignement technique in Morocco (1993) Advanced Diploma in Industrial Electronics (2004) Dr. Bousadra's research focuses on the didactics of science and technology education, with particular emphasis on project-based teaching methods, curriculum development, and the integration of engineering practices in K-12 education. Her work spans multiple dimensions of science education including epistemology of science teaching, technological knowledge integration, and digital learning environments. She has extensively studied how technological and scientific knowledge is taught in Quebec's educational system, examining the relationship between disciplinary knowledge and teaching practices. Her research often addresses gender issues in STEM education, particularly strategies to increase girls' interest in engineering fields. Dr. Bousadra has secured significant research funding including a $1.25 million chair in women in science and engineering (2020-2025) from NSERC, and a $247,000 grant for the ProTUdeS project (2021-2023), which develops an interactive digital platform for STEM learning. Her research portfolio demonstrates consistent focus on improving science and technology education through innovative teaching approaches and curriculum development. Her notable recognitions include: Director of the Research Center on Science Teaching and Learning (2021-present) Co-director of the same research center (2018-2021) Visiting Professor at Fribourg University of Teacher Education, Switzerland (2016) Visiting Professor at National Center for Scientific and Technical Research (2023) Dr. Bousadra actively collaborates with researchers internationally, particularly with institutions in Morocco and Switzerland. She has organized numerous conferences and symposia focusing on science education, technology teaching methods, and gender issues in STEM fields. Her work bridges theoretical educational research with practical classroom applications, particularly in the areas of project-based learning and the integration of authentic engineering practices in school curricula.

• Experimental Nuclear Astrophysics
• Big Bang Nucleosynthesis
• Solar Fusion Reactions
• +۴ مورد دیگر

Dr. Konrad Schmidt is a staff scientist and HZDR High-Potential Fellow at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) , embedded in the Nuclear Astrophysics group within the Division of Nuclear Physics of the Institute of Radiation Physics . He also lectures nuclear-astrophysics courses at TU Dresden and serves as coordinator for Transnational Access within the EU ChETEC-INFRA consortium, organising monthly online schools ( SNAQs ) and leading experiments at the underground Dresden Felsenkeller accelerator . Education & Career Path Doctoral degree (Dr.) in experimental nuclear astrophysics. Staff scientist, Nuclear Astrophysics group, HZDR Institute of Radiation Physics. HZDR High-Potential Fellow (competitive three-year programme with optional extension). Lecturer & exercise instructor, TU Dresden – Nuclear Astrophysics (2020-2023). Seminar facilitator & laboratory course supervisor, TU Dresden (2007-2023). Research Interests Dr. Schmidt’s experimental programme centres on low-energy nuclear reactions that forged the chemical elements . His work spans three astrophysical eras: Big Bang Nucleosynthesis: Measuring the 3 He(α,γ) 7 Be reaction underground to test predictions of primordial lithium abundances against cosmic-microwave-background data. Solar Fusion: Quantifying CNO-cycle reactions and neutrino fluxes that underpin helioseismology and modern solar-model tests. Explosive Nucleosynthesis: Determining the 40 Ca(α,γ) 44 Ti reaction rate to resolve the long-standing discrepancy between supernova 44 Ti γ-ray observations and theoretical yields, and investigating rp- and αp-processes during X-ray bursts using the JENSA gas-jet target. Experimental Facilities & Collaborations He utilises an international network of accelerators and detectors: Dresden Felsenkeller – 5 MV underground accelerator for ultra-low-background studies. HZDR Ion Beam Center – 3 MV Tandetron for high-intensity stable beams. JENSA at NSCL/MSU – Gas-jet target coupled to silicon arrays and recoil separators. CENBG (France) , GSI Target Lab , ATOMKI (Hungary) – Target fabrication and complementary measurements. JINA-CEE (USA) – Joint Institute for Nuclear Astrophysics collaboration. Scientific Awards & Distinctions HZDR High-Potential Fellow (competitive fellowship with 100 k€ annual funding). Coordinator, ChETEC-INFRA Transnational Access (13 partner infrastructures, EU). Founder & organiser, SNAQs – monthly online Schools on Nuclear Astrophysics Questions. Teaching & Mentoring Dr. Schmidt has taught nuclear-astrophysics lecture series every summer term since 2019, co-taught with Prof. Dr. K. Zuber, and has supervised numerous advanced laboratory courses and seminars for second-year through graduate students at TU Dresden. Laboratory & Group Leadership He leads the experimental programme at the Dresden Felsenkeller underground accelerator, coordinates target development across European labs, and heads data-taking campaigns that combine γ-ray spectroscopy, accelerator mass spectrometry, and recoil-separator techniques to deliver high-precision cross-section data for astrophysical reaction networks.

• Italian Linguistics
• Language Education
• Mathematics Education
• +۳ مورد دیگر

Dr. Silvia Demartini is a Professor at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) , affiliated with the Department of Education and Learning and the Competence Centre for Mathematics Education (DDM). She teaches communication and writing courses within the Computer Science degree program at the University of Eastern Piedmont. Her academic journey began with a PhD in Italian Linguistics (2012), focusing on the history of Italian grammar and its teaching tools. Expertise in Italian grammar, language education, and interdisciplinary mathematics-Italian curriculum development Collaborative research with Silvia Sbaragli and Michele Canducci on educational materials Recipient of the Faculty's Best Graduate Student Award at both bachelor's and master's levels Her research spans textbook analysis, linguistic challenges in mathematics education, and innovative pedagogical frameworks. Recent publications include interdisciplinary approaches to geometry and language teaching, such as the 2023 article Mathematics in Rhyme and the 2022 book Parole, Numeri, Figure . Awards include the 2009 Subject Expert title for Italian Grammar. She collaborates on projects like Italmatica , addressing language-specialist communication in mathematics education.

Heinz Bauschkeمشاهده پروفایل

استاد

• Convex analysis
• Optimization
• Monotone operator theory
• +۲ مورد دیگر

Heinz Bauschke is a Professor of Mathematics at the Irving K. Barber Faculty of Science, University of British Columbia Okanagan. His office is located in ASC 352, and he serves as a graduate student supervisor in the Department of Mathematics. Dr. Bauschke earned his PhD from Simon Fraser University. His academic career has focused on mathematical optimization and analysis, establishing him as a prominent researcher in these fields. Professor Bauschke's research centers on convex analysis and optimization, monotone operator theory, and projection methods . His work explores the theoretical foundations and practical applications of these mathematical concepts, particularly in developing algorithms for solving complex optimization problems. He has made significant contributions to the understanding of fixed-point iterations, resolvent operators, and splitting methods. His research has important applications in various scientific and engineering domains where optimization problems arise. Analysis of Professor Bauschke's recent publications reveals a consistent focus on optimization theory, particularly in convergence properties of algorithms, projection methods, and applications to nonconvex problems. His work bridges theoretical mathematics with practical computational methods, with increasing attention to applications in machine learning and data science in recent years. Professor Bauschke has received notable recognition for his research contributions: Research of the Year (2009), UBC Okanagan As a graduate student supervisor, Professor Bauschke mentors students in mathematical optimization and analysis. His research is supported by various grants that enable him to maintain an active research program and collaborate with mathematicians worldwide. His professional service includes involvement with the Centre for Optimization, Convex Analysis and Nonsmooth Analysis. Professor Bauschke is an active member of the mathematical research community, regularly publishing in top optimization journals and contributing to the advancement of mathematical optimization theory and its applications.

• Physics Education
• Science Education
• Quantum Physics Pedagogy
• +۴ مورد دیگر

Berit Bungum serves as Professor in Science Education at the Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). She leads the Resource Centre for Education in Mathematics, Science and Technology, which functions as a critical bridge between university research and school practice. Her work emphasizes practical application of educational research to improve K-12 science teaching. Her research focuses on quantum physics pedagogy, climate change education, and computational thinking integration. The ReleQuant project developed research-based resources for quantum physics and relativity teaching, while KlimaDidakt disseminates climate research to schools. KreTek combines programming with creativity development in lower secondary STEM, and LUSCID examines longitudinal STEM student identity formation through a multi-university collaboration. Analysis of her 15 most recent publications reveals dominant themes in quantum physics education (35%), creativity assessment (20%), and longitudinal student development studies (15%). Her work consistently bridges theoretical research with classroom implementation, particularly through design-based research approaches with teacher collaborators. The publications show strong international collaboration patterns, especially with Scandinavian institutions. Bungum actively supervises master's and PhD students while teaching RFEL3100 (research methods in mathematics and science education). Her projects secure significant funding from the Research Council of Norway, including KreTek (2019-2022) and KlimaDidakt (2022-2023). She contributes to national curriculum development through reports like the Tett på realfag evaluation (2015-2019). The Resource Centre for Education serves as her primary research hub, facilitating collaboration between NTNU researchers, school teachers, and pupils. Current work focuses on longitudinal identity studies in LUSCID and developing assessment frameworks for creativity in STEM through KreTek.

Anna Lind Pantzareمشاهده پروفایل

پژوهشگر

• Educational Assessment
• Mathematics Education
• Test Validity
• +۵ مورد دیگر

Anna Lind Pantzare is a researcher affiliated with the Department of Applied Educational Science at Umeå University , where she serves as a Project Manager. She is also associated with the Umeå Mathematics Education Research Centre (UMERC) . Her work focuses on national testing systems, educational measurement, and the validity of assessments in mathematics and science education. Research Themes : Test validity, standard setting, digital assessment tools, sociopolitical influences on testing Key Projects : Evaluation of the national continuing education program 'Mathematics Lift' (2014-2016) Her recent publications analyze equitable testing frameworks, the transition to digital assessments, and the impact of technology like CAS calculators on evaluation fairness. While she has no listed scientific awards, her collaborations with researchers such as Marie Wiberg and Christina Wikström highlight her role in advancing educational assessment methodologies.

• Science Education
• Educational Research
• Physics Education

Shahzia Vira serves as a Senior Lecturer at the Science Center (Norwegian Centre for Science Education) within the University of Oslo, based in the Physics Building at Sem Sælandsvei 24 on the Blindern campus. Her role centers on advancing science pedagogy through research and academic leadership in Norway's national framework for science education. Her scholarly focus spans critical domains in educational development: Science Education : Curriculum design and implementation strategies for K-12 science instruction Educational Research : Mixed-methods analysis of learning outcomes and teaching efficacy Physics Education : Conceptual understanding frameworks and problem-solving methodologies in physics pedagogy Contact for academic collaboration may be initiated via shahzia.vira@naturfagsenteret.no , with correspondence directed to PO Box 1106 Blindern, 0317 Oslo.

Lee Fallinمشاهده پروفایل

مدرس

• Learning Technology
• Accessibility
• Education Geography
• +۹ مورد دیگر

Dr Lee Fallin is a Lecturer in Education Studies and Director of MA Education Programmes at the University of Hull, within the School of Education. His research focuses on learning technology, accessibility, and the interplay between education and geography, including physical and digital spaces. He holds a Doctorate in Education (EdD) and multiple certifications, including Senior Fellow of the Higher Education Academy and CMALT. Education qualifications include a BA (Hons) in Geography, PG Certs in eLearning and Academic Practice, and an EdD. His research spans academic libraries, student learning, and qualitative methodologies using NVivo. He leads projects like 'Leafy Legends: Children’s Stories in Nature' (£20k funding) and chairs the Venn Boulevard Centre & Sullivan Centre Governors. Research interests include design thinking in learning development, AI ethics in education, and geographies of educational spaces. Recent articles explore design thinking’s transformative potential and AI ethics in K-12 education. Awards include Microsoft Innovative Educator Expert and Royal Geographical Society Fellowship. Teaching focuses on research methods, academic literacies, and technology integration. He advises on methodologies and chairs the Journal for Learning Development in Higher Education. His work emphasizes equity, empathy-driven co-design, and innovative pedagogical frameworks.

• Artificial Intelligence
• Machine Learning
• Operations Research
• +۵ مورد دیگر

Dr. Yuan Sun is a Lecturer in Business Analytics and Artificial Intelligence at La Trobe University's La Trobe Business School. His research focuses on leveraging machine learning for combinatorial optimization, including problem reduction methods and hybrid algorithms. He has contributed to top-tier journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and conferences such as ICML and NeurIPS. Sun collaborates with researchers from institutions like Monash University and Singapore Management University, and is affiliated with the ARC Training Centre in Optimisation Technologies (OPTIMA). He co-organized the ACM GECCO 2024 conference and serves on program committees for major AI conferences. Academic Position: Lecturer at La Trobe University (2022–present) Education: PhD in Artificial Intelligence (University of Melbourne), BSc in Applied Mathematics (Peking University) Research interests span machine learning, operations research, and optimization, with notable work on integrating AI with digital twins for sustainable power grids and federated learning frameworks like F3KM. Sun's methods enhance constraint programming and ant colony optimization through supervised learning, addressing complex real-world problems. Grants and collaborations include the 'Quantum Enhanced Optimisation for Energy Efficient Data Centres' project and consulting for the Australian mining workforce analysis. Teaching roles include Algorithms & Analysis and Evolutionary Computing, with joint supervision of PhD projects on combinatorial optimization and mixed-integer programming.

Jonas Hallströmمشاهده پروفایل

استاد

• Technology Education
• STEM Integration
• AI Literacy
• +۵ مورد دیگر

Jonas Hallström is a Professor and Deputy Head of Department at Linköping University's Department of Behavioural Sciences and Learning, within the Faculty of Educational Sciences. He leads research at the Technology and Science Education Research (TESER) unit and chairs the Swedish National Graduate School in Science and Technology Education Research (FontD). His work focuses on technology education, STEM integration, AI literacy, and historical perspectives on technology in education. Research Interests: Technology Education Curriculum Development Authentic Learning in STEM AI Literacy in K-12 Historical Emergence of Technology as School Subject Gender Equity in Technology Education Assessment and School Governance Publications highlight themes like AI literacy frameworks, STEM integration challenges, and historical perspectives on technology education. He collaborates internationally on projects such as aSTEM (models in STEM education) and contributes to policy through roles at the Swedish Centre for School Technology Education (CETIS). Advising & Grants: Oversees graduate programs (FontD4/FontD5) and manages research at CETIS. His work bridges theoretical research with practical educational implementation across preschool to university levels. Labs/Teams: Leads TESER, a research unit exploring technology and science education since 2011. Collaborates with the Division of Learning, Aesthetics, Natural Science (LEN) on interdisciplinary projects.

Katharine Childsمشاهده پروفایل

پژوهشگر

• Computer Science Education
• Artificial Intelligence Education
• Gender Balance in Computing
• +۴ مورد دیگر

Katharine Childs is a Research Scientist at the Raspberry Pi Computing Education Research Centre, Department of Computer Science and Technology, University of Cambridge. She holds a first-class BSc (Hons) in IT and Computing (Open University), an MSc (Distinction) in Computing Education (Nottingham Trent University), and is currently pursuing a PhD in Computing Science at the University of Glasgow. Her work focuses on diversifying participation in computing education, particularly for underrepresented groups, and integrating AI tools into K-12 programming pedagogy. With 15+ years in IT roles across public/private sectors and 5+ years teaching computing in primary schools, she has led projects on culturally responsive teaching adaptations, gender balance initiatives, and AI/data science education. She contributed to large-scale studies like the Gender Balance in Computing team and led work on teacher resource adaptations. Current research explores AI education, data-driven problem-solving, and physical computing contexts. Professional activities include serving on ACM program committees for education conferences. No awards explicitly listed, but her work demonstrates significant contributions to equitable computing education. Advising/grants: Her roles involve collaborative research projects funded by the Raspberry Pi Foundation and University initiatives. She co-leads the Centre’s efforts on culturally responsive pedagogy and AI integration in schools. No labs listed, but affiliated with the Raspberry Pi Computing Education Research Centre.

Sarah Porcenalukمشاهده پروفایل

مدرس

• Primary Mathematics Education
• Teachers' Continuing Professional Development
• Teacher Knowledge
• +۳ مورد دیگر

Sarah Porcenaluk is an Assistant Lecturer in Education with expertise in primary mathematics at the University of Galway, working within the Department of Arts, Mathematics, PE and Early Childhood. She teaches multiple mathematics education modules including Math Methods 2, Math Methods 3, and Early Mathematical Awareness for both Bachelor of Education and Early Childhood Education programs. Prior to her academic position, she gained extensive practical experience as a primary school teacher in the United States for ten years and served as an Instructional Mathematics Coach supporting teacher professional development. Her educational background includes: M.Ed. in K-8 Mathematics and Science Education from the University of Central Florida (2019) B.S. in Elementary Education from the University of Central Florida (2012) Sarah's research focuses on primary mathematics education, with particular emphasis on how to support teachers during curriculum reform. She investigates how to design effective professional development for primary mathematics teachers and create educative curriculum materials that help teachers implement new standards faithfully. Her work addresses critical challenges in mathematics education, particularly how to maintain rigorous mathematical content while making it accessible to all learners during periods of educational change. She examines the role of higher-level thinking questions in mathematics lessons and how these can be used to deepen student understanding and engagement. Her recent publications reveal a strong focus on curriculum reform in mathematics education, particularly in the Irish context. A clear trend emerges across her work: supporting teachers through meaningful professional development during periods of educational change. Her research consistently addresses how to translate curriculum reforms into effective classroom practice, with particular attention to primary mathematics education. She explores various approaches including educative curriculum materials, electronic toolkits, and frameworks for continuous professional development that help teachers implement new standards while maintaining mathematical rigor. Her notable recognition includes: University of Galway Threesis Competition Finalist (2022) Sarah is actively involved in mentoring and professional development, having served as an Instructional Mathematics Coach where she aided the professional learning of primary teachers. She has presented numerous webinars through organizations like the National Council of Teachers of Mathematics and Galway Education Centre, focusing on practical strategies for mathematics instruction. Her current doctoral research on "Designing Educative Curriculum Materials for Primary Mathematics Teachers for Use During Curriculum Reform" represents a significant contribution to the field, supervised by Professor Cornelia Connolly at the University of Galway. She is an active member of several professional organizations including the Educational Studies Association of Ireland, National Council of Teachers of Mathematics, and Irish Mathematics Teachers' Association, which provides her with opportunities to collaborate with educators across Ireland and internationally. Her personal website, Sarahporcenaluk.com, features resources for mathematics educators, reflecting her commitment to sharing practical teaching strategies and supporting the mathematics education community.

Hayden McDonaldمشاهده پروفایل

پژوهشگر

• Accounting
• Finance
• Economics
• +۱۱ مورد دیگر

Hayden McDonald is a Researcher at Torrens University Australia , affiliated with the School of Business and Hospitality and the Centre for Organisational Change and Agility (COCA) . His work bridges accounting, finance, economics, and human resources with a focus on social justice and sustainable development . Education: PhD (2019), Griffith University Queensland Bachelor of Accounting (Honours) (2003), Auckland University of Technology Research interests: Hayden explores Indigenous business models , governance frameworks , and the role of management controls in advancing emancipation and social value . His scholarship intersects Actor-Network Theory with qualitative case studies to address challenges like improving financial literacy , health , and sustainability in communities. Article trends: Hayden’s recent publications (2025–2018) focus on management controls , health promotion programs , and SDG-aligned workplace strategies . Topics span Indigenous organizations , actor-network theory , and employee health , reflecting his commitment to socially impactful research. Collaborations: He has co-authored works with scholars such as K. A. Bodle , D. Delaney , and M. Baker , emphasizing interdisciplinary approaches to organizational change and community well-being .

Douglas Downمشاهده پروفایل

استاد

• Performance Evaluation
• Stochastic Models
• Data Centres
• +۷ مورد دیگر

Dr. Douglas Down is a Professor in the Department of Computing and Software at McMaster University. His research focuses on performance evaluation, stochastic models, data centers, and scheduling algorithms. He is actively involved in the Digital & Smart Systems research cluster, addressing challenges in healthcare logistics, energy-efficient computing, and resource allocation. Dr. Down teaches CAS 736: Analysis of Stochastic Networks, exploring statistical modeling techniques and current research in stochastic networks. His work integrates machine learning and optimization to solve real-world problems, such as blood product inventory management and thermal-aware data center management. He has published extensively on topics including demand forecasting, inventory policies, and energy-aware workload assignment. While no specific awards are listed, his contributions to operations research and computing systems are evident through his prolific publication record. Dr. Down advises graduate students and collaborates on projects involving healthcare systems, cloud computing, and distributed systems. His research addresses both theoretical and applied challenges, with a focus on decision-making under uncertainty and system optimization.

Christoph Heinzlمشاهده پروفایل

عضو هیئت علمی

• Scientific Visualization
• Information Visualization
• Industrial 3-D X-ray Computed Tomography
• +۵ مورد دیگر

Christoph Heinzl is Privatdozent at Technische Universität Wien, Faculty of Informatics, Institute of Visual Computing & Human-Centered Technology, and an associated researcher at University of Applied Sciences Upper Austria, Wels. His work bridges scientific visualization and industrial X-ray computed tomography, with applications in non-destructive testing and metrology. Education & qualifications: Heinzl holds a Dipl.-Ing.(FH) degree and a doctorate (Dr.) from TU Wien; in 2021 he completed his professorial dissertation (Habilitation) on visualization and analysis of XCT data. Research interests revolve around interactive visual analysis of high-dimensional and multimodal industrial data, uncertainty visualization, metrological evaluation of CT data, and development of immersive analytics workspaces for materials characterization. Across 60+ peer-reviewed publications since 2006 he has advanced techniques for porosity quantification, defect tracking, metal-artefact reduction, and comparative visualization of 3-D volumes, often in close cooperation with the Austrian COMET centre “EXCELLENCE IN COMET” and the K-project “ADVANCED METROLOGY”. Awards & recognition: While no major personal prizes are listed, Heinzl has served as paper co-chair and editorial guest editor for leading visualization venues, indicating peer recognition. Teaching & supervision: He regularly offers bachelor thesis topics such as “ImNDT: Immersive Workspace for Analysis of Multidimensional NDT Data” and teaches courses on visualization and computer graphics; specific PhD students are not named in the supplied sources. Funding & labs: Research is embedded in the university’s Visual Computing research area and supported by national competence centres for metrology, providing access to state-of-the-art XCT facilities and VR/AR laboratories.