جست‌وجوی استاد و پژوهشگر

Paul Craigمشاهده پروفایل

استاد

• Molecular Visualization
• Computational Biochemistry
• Proteins
• +۳ مورد دیگر

Dr. Paul Craig is a Professor in the School of Chemistry and Materials Science at RIT's College of Science. He holds a B.S. from Oral Roberts University and a Ph.D. in Biological Chemistry from the University of Michigan. His research focuses on molecular visualization, computational biochemistry, and STEM education, with notable contributions to the BASIL CURE initiative and Python scripting workshops for biochemistry education. He has led the development of simulation tools like Electro2D-Tandem MS and JBioFramework, and co-founded the Human Visualization Project, a multidisciplinary effort to create 3D anatomical models. Education: B.S. in Chemistry (1979, Oral Roberts University); Ph.D. in Biological Chemistry (1985, University of Michigan); Postdoctoral studies at Henry Ford Hospital (1985-1988). Research interests emphasize integrating computational methods and wet-lab techniques to advance biochemistry education. He actively promotes inclusive environments for Deaf and hard-of-hearing students in scientific research. Recent work includes NSF-funded projects to expand the BASIL CURE program and develop Python-based educational resources. Grants: $588,000 NSF grant (2023) for expanding BASIL CURE nationally. Lab teams include collaborators across RIT's colleges in science, engineering, and art/design. Labs/Teams: BASIL CURE Consortium, Human Visualization Project, JBioFramework Development Group, and Python Scripting for Biochemistry Initiative.

Alana D Newellمشاهده پروفایل

استادیار

• Educational Research
• STEM Education
• Curriculum Development
• +۶ مورد دیگر

Alana D Newell is an Assistant Professor in the Department of Education, Innovation and Technology at Baylor College of Medicine, with a dual role as Assistant Director of the Center for Educational Outreach. She specializes in educational research, curriculum design, and evaluation methodologies, focusing on K-12 and post-secondary education. Her work emphasizes robust study designs, data analysis, and adapting assessment tools for diverse learners. She has collaborated on over 20 projects, including nine as an internal evaluator for curriculum development initiatives. Education: PhD in Measurement, Quantitative Methods, and Learning Sciences (University of Houston) MEd in Education (University of Houston) BA in Sociology (Rice University) Research Interests: Dr. Newell’s research spans educational evaluation, science curriculum design, and the psychometric properties of affective measures (e.g., science attitudes). She explores how interdisciplinary approaches—such as integrating visual arts into medical training or using pandemic case studies in STEM classrooms—enhance learning outcomes. Her work often addresses equity in education, particularly through initiatives targeting underrepresented groups in HIV research and medical fields. Publications: Her articles reflect a focus on curriculum frameworks (e.g., Understanding by Design®), health education interventions, and DEI initiatives. Recent work highlights pandemic-driven educational adaptations and the role of simulation-based training in medical education. Awards/Grants: Though no explicit awards are cited, her contributions to the BCM Master Teachers Fellowship Program (Co-Director since 2018) and CFAR DEI initiatives demonstrate sustained institutional and collaborative impact. She has secured funding for multi-institutional projects in HIV education and biomedical training. Labs/Teams: Active within the Baylor College of Medicine’s Center for Educational Outreach, she collaborates with faculty on programs like the Radiology-TEACHES simulation framework and the ALL for Science curriculum. Her work bridges academic, clinical, and community education sectors.

Fangzheng Lyuمشاهده پروفایل

استادیار

• GIS Computational and Data Science
• Urban Informatics
• CyberGIS & Geospatial Computing
• +۷ مورد دیگر

Fangzheng Lyu is an Assistant Professor in the Department of Geography at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Natural Resources and Environment. His research focuses on advancing GIScience, geospatial data science, and computational methods to address complex urban and environmental challenges using big data. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2024), an M.S. from the same institution (2021), and a B.E. from the University of Hong Kong (2018). Dr. Lyu's expertise includes geospatial data science, cyberGIS, urban informatics, and geospatial AI. His work spans three core areas: (1) urban dynamics modeling using machine learning and cyberGIS, (2) scalable spatial algorithms for remote sensing and big data analysis, and (3) democratizing access to advanced geospatial cyberinfrastructure. He teaches courses such as Principles of GIS, Geospatial Data Science, and Spatial Data Science at Virginia Tech. His research has been published in leading journals like International Journal of Geographical Information Science , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , and Sustainability . Notable contributions include frameworks for urban heat island prediction, spatiotemporal image fusion models (e.g., Multi-stream STGAN), and methods for analyzing spatial accessibility during public health crises. Dr. Lyu actively contributes to interdisciplinary initiatives, including the Center for Geospatial Information Technology at Virginia Tech. His work emphasizes reproducibility and collaboration, with a focus on bridging geospatial research and education through cyberGIS platforms like CyberGIS-Jupyter. He has received funding for proposals integrating geospatial technologies with urban sensing and epidemiological modeling.

Anne Marit Førelandمشاهده پروفایل

دانشیار

• Pediatrics
• Neonatal Nursing
• Pain Management in Premature/Newborn Infants
• +۵ مورد دیگر

Anne Marit Føreland is an Associate Professor at the Department of Health and Nursing Science, University of Agder, affiliated with the Faculty of Health and Sport Sciences. Her work combines clinical expertise in neonatal intensive care with academic roles in research and teaching. She holds a Master’s degree and is a Specialist in Clinical Nursing. Education: Bachelor’s in Nursing (1982–86), Specialist in Clinical Nursing (2009), Master’s (2012–2014) Certifications: Pediatric Nursing (UiA 2002–2003), Counseling (Pedagogy 2005–06), Facilitator/Train-the-Trainer in Medical Simulation (2023) Her research focuses on neonatal care, including pain management, phototherapy, kangaroo care, and neonatal transport. Notable projects include studies on early skin-to-skin contact for preterm infants and the impact of non-separation approaches post-birth. She has contributed to over 15 peer-reviewed articles and collaborates with hospitals like Oslo University Hospital and Sørlandet Hospital. Teaching responsibilities include the Bachelor of Nursing and Master’s in Pediatric Nursing programs, emphasizing simulation-based learning and clinical supervision. She leads research groups like HEIFA (Health and Quality of Life in a Family Perspective) and actively disseminates findings via articles, interviews, and public lectures. Key contributions include co-authoring works on neonatal care practices and maternal experiences, with recent publications in Global Qualitative Nursing Research and Tidsskriftet Sykepleien . Her work highlights interdisciplinary approaches to improving neonatal outcomes and maternal well-being.

Eyvind Elstadمشاهده پروفایل

استاد

• Teacher Education
• Educational Policy
• School Leadership
• +۵ مورد دیگر

Eyvind Elstad is a Professor at the Department of Teacher Education, University of Oslo. His academic career includes a Dr. Polit. (1996) from the Faculty of Social Sciences at the University of Oslo, alongside earlier degrees in Economics and Philology. He specializes in Teacher Education, Educational Policy, and School Reform, with a focus on teacher evaluation, professional development, and ICT integration. Elstad teaches courses such as UTLED 4301-4303 and UTLED 4090. His research explores teacher well-being, cross-cultural educational dynamics, and the impact of AI in education. He leads projects like 'Teacher Evaluation in Schools and Teacher Education (TESTE)' and collaborates in research groups like Collaboration for Teacher Education (COTED) and Teachers’ Professional Development and Educational Change (TEPEC). Recent work includes studies on Norwegian high-school teachers' challenges, AI adoption in education, and Nordic teacher education systems. His publications span journals like Nordic Journal of Comparative and International Education and Acta Didactica Norden. Elstad actively engages with policy analysis, mentoring tools, and the intersection of technology and pedagogy. His contributions bridge academic research with practical educational reforms, emphasizing Nordic educational systems' unique challenges and innovations.

Anja Thorstenمشاهده پروفایل

دانشیار

• Educational Methodology
• Teacher Education
• Classroom Dynamics
• +۳ مورد دیگر

Anja Thorsten is an Associate Professor and Docent at Linköping University's Department of Behavioural Sciences and Learning (IBL), specifically within the Division of Education, Teaching and Learning (PEDI). She holds the email address anja.thorsten@liu.se . Her research focuses on educational methodologies, teacher training, and classroom dynamics with particular emphasis on virtual learning environments and mathematics pedagogy. Key research interests include classroom interaction strategies, teacher response techniques, and the application of critical aspect theory in curriculum design. She has contributed to studies on pre-service teachers' instructional approaches in both virtual settings and mathematics education, emphasizing conceptual understanding and formative assessment practices. Recent publications (2023-2024) explore topics such as addressing student misconceptions, virtual classroom simulations, and fraction comparison teaching methodologies. Her work intersects with the TeachLivE at LiU initiative, indicating involvement in innovative educational technology projects.

Detlef Urhahneمشاهده پروفایل

استاد

• Educational Psychology
• Science Education
• Technology-Enhanced Learning
• +۳ مورد دیگر

Prof. Detlef Urhahne is a Professor of Educational Psychology at the University of Passau. He previously served as a research assistant at the Chair of Biology Education at Ludwig Maximilian University (LMU) Munich from 2002 to 2008. His research focuses on technology-enhanced learning, science education, and motivational factors in educational contexts. Key areas include the design of effective learning environments using computer simulations, hypertext systems, and biodiversity databases, as well as the role of epistemological beliefs and self-concept in student learning. His work emphasizes empirical evaluations of instructional methods, such as comparing linear vs. hypermedia learning structures, and exploring how digital tools support conceptual understanding in chemistry and biology. He has contributed to understanding motivation in teacher training, particularly among biology educators, and developed validated questionnaires to measure interest in biodiversity topics. His studies often intersect cognitive psychology, educational technology, and didactic principles in science disciplines. Urhahne’s research also addresses interdisciplinary challenges like the 'right amount of instruction' in museum settings and the impact of animations on neurobiology learning. He collaborates internationally, evidenced by co-authored works in journals like the International Journal of Science Education and Psychological Review . While no awards are explicitly listed, his extensive publication record highlights sustained contributions to educational psychology and science pedagogy. His advising and grant activities remain unspecified in the provided texts. He has been involved in developing projects such as the EU-funded TREBIS initiative for biodiversity education, reflecting his commitment to bridging formal and informal learning environments through technology.

Fiona Mayneمشاهده پروفایل

مدرس ارشد

• Child Wellbeing
• Children's Rights
• Participatory Research Methods
• +۳ مورد دیگر

Dr Fiona Mayne is a Senior Lecturer and Deputy Head of School (Research) at the Graduate School of Education, The University of Western Australia. She specializes in child wellbeing, children’s rights, and participatory research methodologies, with a focus on early childhood education and technology integration. Her work bridges Early Childhood Education and Allied Health, emphasizing ethical research processes that empower young children's agency and voice. She co-created the Children's VOICE initiative with UNICEF Australia and leads projects like the MiStory digital wellbeing game. Education: PhD in Education (Children’s voice and agency in research), UWA (2016) Graduate Certificate of Tertiary Teaching, UWA (2018) B Ed (Hons), Curtin University (2006) Her research interests include participatory research methods, educational technology, and the development of wellbeing measures for young children. She has secured grants totaling over $150,000, including the Channel 7 Telethon Trust and Australian Education Research Organisation (AERO) projects. Fiona has authored 20 publications, including her book The Narrative Approach to Informed Consent , and holds eight awards, including the 2023 Mid-Career Research Award and UWA’s Outstanding Contribution to Student Learning. Teaching responsibilities include units on child development, technology in education, and pedagogy. She currently supervises 8 EdD and 1 Master’s students, with completed supervision of 1 PhD and 1 Master’s. Her work aligns with UN Sustainable Development Goals, particularly in education and wellbeing. Grants & Projects: Telethon Trust Grant (2023): Developing a digital wellbeing game for young children AERO Consultancy (2023): Prototyping a wellbeing measure for 3–8-year-olds Labs/Teams: Children’s VOICE (UWA-UNICEF partnership), SimLab (mixed-reality simulations)

Thomas Schmittمشاهده پروفایل

پژوهشگر

• Ecosystem Services
• Sustainability
• Environmental Science
• +۳ مورد دیگر

Dr. Thomas Schmitt is a Researcher at the Professorship of Ecological Services, University of Bayreuth, affiliated with the Faculty of Biology, Chemistry and Earth Sciences. His primary role involves research within the SusAlps project, focusing on sustainable grassland management in (pre-)Alpine Bavaria. He holds a M.Sc. in Global Change Ecology (University of Bayreuth) and a B.Sc. in Sustainability (Leiden University College). His research emphasizes ecosystem services valuation, land-use policies, and agent-based modeling. Prior roles include internships at WWF Germany and the Chamber of Commerce and Industry (IHK Nürnberg). Research Interests: Thomas Schmitt’s work bridges ecological and social dimensions of sustainability. He investigates how diverse actors perceive and value ecosystem services, particularly in alpine regions. His methodologies include agent-based modeling to simulate nitrogen fertilizer applications in grasslands and explore land-use trade-offs. Recent studies analyze synergies between recreation and agricultural practices, as well as improving agri-environmental policies through stakeholder engagement. Publications: His recent work spans agent-based modeling frameworks, spatial valuation of grassland services, and climate change perception studies. Key themes include biodiversity conservation, policy design, and educational tools for complex systems analysis. Affiliations: KIT-Campus Alpin collaborator, part of the Ecological Services research group at the University of Bayreuth.

Majd Sakrمشاهده پروفایل

استاد آموزشی

• Online Learning
• Technology Enhanced Learning
• Cloud Computing
• +۶ مورد دیگر

Majd Sakr is a Teaching Professor at the Computer Science Department of Carnegie Mellon University (CMU), where he has been actively involved in curriculum development, educational research, and project-based teaching since 2007. His academic career spans teaching courses like 15-319/15-619: Cloud Computing , 15-719: Advanced Cloud Computing , and 15-213: Introduction to Computer Systems , with course materials available across multiple CMU global campuses. He is affiliated with the Technology for Effective and Efficient Learning (TEEL) Lab , which focuses on learning methods, technology for learning systems, and workforce training. Research Interests include: Online and technology-enhanced learning Cloud computing systems and infrastructure Cross-cultural human-robot interaction (HRI) with a focus on Arabic accents Curriculum development for AI/workforce training Recent Article Trends analyze generative AI in education, cloud computing performance optimization, and collaborative programming pedagogy. His work explores LLMs' efficacy in programming assessments, auto-grading feedback, and cross-cultural HRI dynamics. Scientific Awards : Best Paper Award, Fourteenth International Conference on Machine Learning (1996) Grants & Collaborations include AWS Educate, Microsoft Azure Educator Grant, and Google Cloud Platform support for his cloud computing courses. He has co-authored publications with colleagues on AI workforce training, data pipeline analysis, and AI-driven collaborative learning frameworks.

Daniel Albertمشاهده پروفایل

استادیار

• Strategic Management
• Organizational Design
• Innovation
• +۴ مورد دیگر

Daniel Albert is an Assistant Professor of Management at Drexel University's LeBow College of Business. He serves on the Drexel University Standing Committee on Artificial Intelligence and is a Senior Fellow at The Wharton School’s Mack Institute of Technology Management. Previously, he held a tenure-track position at the University of Wisconsin-Milwaukee. His academic journey includes a Ph.D. from the University of St. Gallen, Switzerland, and research scholar roles at the Wharton School, University of Pennsylvania. Dr. Albert's research explores strategic management, organizational design, and innovation through computational modeling and empirical analysis. His work integrates psychology and neuroscience principles to study cognition and complex decision-making, with applications in financial services and healthcare industries. Current investigations focus on generative AI in strategic contexts, organizational structure optimization, and behavioral strategy experiments using large language models. Thematic analysis of his publications reveals three dominant clusters: computational approaches to organizational design (43%), cognitive and behavioral strategy frameworks (36%), and AI applications in management/education (21%). His work exhibits increasing methodological sophistication, with recent publications leveraging large-scale data analytics and AI simulation techniques to examine strategic decision-making patterns. Notable Scientific Recognition: Sumantra Goshal Award for Research & Practice (2021) Distinguished Paper Award from Academy of Management (2022) Research Methods Paper Prize from Strategic Management Society (2024) Freddie Reisman Award for scholarly impact (2022) Innovation in Teaching Award for AI integration (2022) Dr. Albert teaches strategy and competitive advantage courses across MBA and Executive MBA programs, incorporating generative AI tools for experiential learning. He provides editorial leadership for the Journal of Organization Design and has served on review boards for Long Range Planning and Organization Science . His research collaborations involve interdisciplinary teams from Wharton's Mack Institute and Drexel's AI initiative, focusing on technology-driven organizational innovation.

• Human-Computer Interaction (HCI)
• User Experience (UX)/Usability
• Domain Analysis
• +۳ مورد دیگر

Michaela Bačíková is an Assistant Professor at the Faculty of Electrical Engineering and Informatics (FEI) of the Technical University of Košice (TUKE). Her research focuses on Human-Computer Interaction (HCI), domain usability, and domain analysis, with an emphasis on graphical user interfaces (GUIs), domain-specific languages (DSLs), and gesture-driven interaction. She leads the development of the DEAL tool, a domain analysis framework for extracting domain models from software systems. Her teaching includes courses on component-based programming, web technologies, and user interface design. Research Projects: DEAL (Domain Extraction ALgorithm) : A tool for analyzing GUIs to generate DSLs, ontologies, and usability metrics. EU Project: 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum' (participant). Educational initiatives: Integrating gesture-driven IDEs and social networks for mentoring in programming courses. Research Interests : Automated domain usability evaluation using DEAL. DSL-driven GUI generation and feature modeling. Innovations in teaching software development and user experience design. Grants & Labs : Recipient of FEI TUKE Grant no. FEI-2015-16 for domain usability metrics research. Active in the FEI lab developing DEAL and related tools.

• Nursing Education
• Clinical Skills Training
• Preceptorship Programs
• +۳ مورد دیگر

Bill Whitehead is an Associate Lecturer specializing in nursing education and clinical practice within the College of Health, Psychology and Social Care. His work focuses on improving nursing transition support, preceptorship programs, and clinical skills training. He has conducted extensive research in maternal healthcare innovations (e.g., intrapartum ultrasound applications) and mental health caregiving in global contexts like Iran. Key research contributions include systematic reviews on preceptorship effectiveness (2012), maternal imaging accuracy (2016), and newly qualified nurse preparedness (2013). He has co-authored influential publications on clinical skill simulation during pandemic disruptions (2021) and nurse transition support frameworks (2015). His work explores historical aspects of nursing education, including a 2019 historical analysis of clinical nurse educator roles. Collaborative projects include partnerships with Chesterfield Royal Hospital NHS Trust and involvement in accelerated nursing program development (2018). Whitehead's research spans qualitative studies on Iranian nursing education challenges (2018), family caregiver experiences with severe mental illness (2018), and innovative clinical placement strategies. He advocates for standardized clinical assessment practices across healthcare professions (2025).

Zahid B. Zamirمشاهده پروفایل

دانشیار

• Knowledge Management
• Knowledge Management Systems
• Quality Dimensions of Information Systems
• +۳ مورد دیگر

Zahid B. Zamir, DSc, is an Associate Professor of Management Information Systems (MIS/ERP) at the Department of Business Administration, College of Business, Delaware State University. He holds a D.Sc. in Information Systems from Dakota State University and advanced degrees in Economics from the International Islamic University Malaysia and Brooklyn College. Education: D.Sc. in Information Systems, Dakota State University (2017) MS in Information Systems, Brooklyn College (2003) Master of Economics, International Islamic University Malaysia (1997) Bachelor of Economics, International Islamic University Malaysia (1995) Research Focus: Dr. Zamir specializes in Knowledge Management Systems, Decision Support Systems, and the impact of Information System Quality Dimensions on organizational outcomes. His work bridges theoretical frameworks with practical applications in banking, economic forecasting, and ERP systems. Publications & Awards: He has published extensively in journals like the Journal of Accounting, Business and Management and International Journal of Entrepreneurial Knowledge . Notable awards include the Dean’s Service Award (2019) and the 2021 Daniel J. Power Best Paper Award (2nd Place). Professional Contributions: Dr. Zamir actively contributes to curriculum development and ERP training initiatives. He conducts annual workshops on Big Data Analytics, Advanced Excel, and ERPSIM gaming simulations. His certifications include SAP S/4HANA and Quality Matters (QM) training in online pedagogy. Grants: Recipient of multiple Dean’s Summer Research Grants ($3000 each in 2020, 2022, and 2023). Labs & Teams: Leads the College of Business’ Big Data and Data Analytics initiatives, including the STOMPP workshop series. His teams have secured third place in DEEP Day competitions (2018).

Saundra R. Farmerمشاهده پروفایل

دانشیار

• Psychiatric Mental Health Nursing
• Nursing Informatics
• Simulation in Nursing Education
• +۳ مورد دیگر

Saundra R. Farmer is an Associate Professor and Founding Chair of the BSN Program at the School of Nursing, Emory & Henry College. She joined the institution in 2018, bringing over three decades of nursing experience in psychiatric/mental health care and nursing education. Her academic background includes a Doctor of Nursing Practice (DNP) from Northern Kentucky University, a Master of Science in Nursing (MSN) from Capital University, and a Bachelor of Science in Nursing (BSN) from King College. Her teaching focuses on Psychiatric Mental Health Nursing and Nursing Informatics, with a strong emphasis on simulation-based learning. Dr. Farmer has pioneered the use of standardized patient simulation to reduce nursing student anxiety during clinical encounters. Her research explores caring behaviors in simulation scenarios, suicide prevention in medical settings, and culturally competent care for deaf mental health patients. Professionally, she has held roles at Capital University, Carson-Newman University, and worked clinically with diverse populations including the severely mentally ill, homeless dual diagnosis patients, and deaf communities. Her work integrates clinical practice, education, and innovation in nursing pedagogy. Her scholarly contributions include peer-reviewed articles in the International Journal for Human Caring and presentations at conferences like the International Nursing Association for Clinical Simulation and Learning. She is actively involved in advancing rural health nursing through her editorial contributions to Rural Health Nursing: Barriers and Benefits .