جست‌وجوی استاد و پژوهشگر

Marianne Gullbergمشاهده پروفایل

استاد

• Second Language Acquisition
• Bilingualism
• Language Processing
• +۳ مورد دیگر

Marianne Gullberg is a Professor of Psycholinguistics at Lund University, where she serves as Director of the Lund University Humanities Lab and Director of Huminfra , Sweden's national infrastructure for humanities research. She leads the research programs TEAM (Transdisciplinary Approaches to Learning, Acquisition, Multilingualism) and LAMiNATE (Language Acquisition, Multilingualism, and Teaching) , and previously co-founded the Nijmegen Gesture Centre at the Max Planck Institute for Psycholinguistics. Research Focus : Adult second language acquisition, bilingual processing, gesture production/comprehension, and multimodal communication. Leadership : President of the International Society for Gesture Studies , Vice-president of the European Second Language Association (2000-2007), and active in national and international academic societies. Honors : 2019: European Second Language Association Distinguished Scholar Award 2019: Swenson Prize in Humanities 2014: Rausing Prize in Humanities 2013: Wallenberg Scholar 2010: Lars & Eva Gårding’s Prize in Linguistics Multiple academy memberships including Academia Europaea and Royal Swedish Academy of Sciences Editorial Roles : Editor/Associate Editor for Language Learning , Frontiers in Psychology: Language Sciences , Gesture , and others.

Ari Korhonenمشاهده پروفایل

مدرس ارشد

• Computing Education Research
• Educational Technology
• Algorithm Visualization
• +۶ مورد دیگر

Ari Korhonen is a Senior University Lecturer in the Department of Computer Science at Aalto University's School of Science. His academic career spans over two decades with a focus on computing education research and educational technology. Korhonen leads research in algorithm visualization, automatic assessment systems, and learning analytics within computer science education. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2003) Licentiate degree in Engineering and Technology, Helsinki University of Technology (2000) Master's degree in Engineering and Technology, Helsinki University of Technology (1997) Research Interests: Korhonen specializes in computing education research with particular expertise in algorithm visualization and automatic assessment systems . His work explores how visual representations of algorithms impact student learning, with significant contributions to tools like TRAKLA2 for data structures education. He investigates learning analytics approaches to understand programming misconceptions and develop targeted interventions. His recent research focuses on prerequisite skill assessment and differentiated learning pathways in computer science education, examining how fragile knowledge in foundational concepts affects advanced topic mastery. Publication Trends: Analysis of Korhonen's recent publications (2017-2025) reveals a strong focus on algorithm education, particularly Dijkstra's algorithm and data structures. His work increasingly incorporates learning analytics to identify student misconceptions, with growing emphasis on automated assessment systems that provide personalized feedback. The research demonstrates a progression from tool development (TRAKLA2) to sophisticated analysis of student learning patterns and prerequisite knowledge gaps, with recent work exploring JSON-based algorithm animation languages and the cognitive aspects of visualization. Awards and Recognition: Docentship at University of Turku (2012-present) Academic Service and Mentorship: Korhonen has supervised 8 theses and collaborates extensively with researchers across Finland and internationally. He serves on editorial boards for key journals including Computer Science Education and ACM Transactions on Computing Education. His service includes program committee memberships for major conferences like ICER (International Computing Education Research). Korhonen actively contributes to building educator networks, particularly through the Finland-US Network for the Study of Engagement and Learning in Games (FUN) and software engineering teacher networks in Finland. Research Groups: Korhonen leads the LeTech Learning Technology Group at Aalto University, focusing on educational technology development and evaluation. His fingerprint analysis shows strong activity in Data Structures (100%), Early Research in Computer Science (37%), Dijkstra Algorithms (37%), Learning Analytics (37%), and Case Studies (37%). He's deeply involved with the Computing Education Research community in Finland, contributing to national initiatives that strengthen computer science pedagogy across institutions.

Brian Ballsun-Stantonمشاهده پروفایل

پژوهشگر

• Digital Humanities
• Generative AI
• Natural Language Processing
• +۴ مورد دیگر

Dr Brian Ballsun-Stanton is a Solutions Architect (Digital Humanities) at Macquarie University's Faculty of Arts. He specializes in AI integration in higher education, leading initiatives such as the university's 'Guidance Note: Using Generative AI in Research' and winning the 2024 Faculty of Arts Educational Leadership Award. His work spans AI policy, pedagogy, and interdisciplinary applications across languages, security studies, and law. With over 15 years' experience as a data scientist, he has pioneered open-source tools like FAIMS Mobile for field research and led AUD$3.5M+ in grants focused on big data analysis of violent extremism and archaeological projects. Education: PhD in Philosophy of Data (not explicitly stated, inferred from biography). Research Interests: Generative AI ethics, digital humanities, social network analysis, and the intersection of technology with humanities scholarship. He focuses on AI-enhanced learning, critical evaluation of large language models, and FAIR data principles in epigraphy and archaeology. Articles Trends: Recent work emphasizes AI policy frameworks, generative AI applications in education, and computational methods in archaeology. Earlier publications explore far-right online ecosystems and social media analysis. Awards: 2018 DataApp Prize (environmental data transparency), 2024 Educational Leadership Award. Grants/Projects: Led projects on violent extremism (AUD$3.5M+), FAIMS Mobile development, and Roman Dalmatia military communities. Technical Director of FAIMS Project since 2013. Labs/Teams: Technical lead for the FAIMS Project, collaborating internationally on archaeological digital tools and open-source field data systems.

• Machine Learning
• Applied Computing
• Data Management and Data Science
• +۱ مورد دیگر

Dr. Elham Naghizade is a Lecturer at RMIT University's School of Computing Technologies. Her research focuses on machine learning, applied computing, data science, and human-centered computing. She has supervised projects addressing topics like cryptocurrency consensus algorithms, social media analysis, and urban sensing data. Her work integrates interdisciplinary approaches to solve real-world problems, including privacy-preserving data analysis, sentiment-driven service quality assessment, and error detection in spatial data. Recent contributions include advancements in time series classification, trajectory analysis, and fake news detection via Twitter data. Dr. Naghizade actively collaborates on research-based supervision projects, exploring cutting-edge areas such as prescriptive analytics and XAI-driven 3D model construction. Her publications span journals like Data Mining and Knowledge Discovery and Public Transport , reflecting her expertise in algorithm design, geospatial computing, and data-driven solutions. Advising and grants: Her research has been supported through collaborative projects focusing on urban mobility, healthcare communication, and public transport service quality. Key contributions include developing frameworks for vaccine information dissemination and improving spatial data quality through qualitative reasoning.

Hang Daiمشاهده پروفایل

استاد

• Computer Vision
• Medical Image Segmentation
• 3D Object Detection
• +۲ مورد دیگر

Dr. Hang Dai is transitioning to a Full Professor position at Wuhan University after serving as Honorary Research Fellow at the University of Glasgow's School of Computing Science. His research spans computer vision, medical image analysis, and autonomous driving systems. With over 26 publications, he develops deep learning methods for 3D segmentation, object detection, and video enhancement. Research areas include: Advanced 3D semantic segmentation for LiDAR data Semi-supervised medical image analysis Multi-modal fusion for autonomous vehicles Current projects focus on certainty-guided contrastive learning for medical imaging and attention mechanisms for depth super-resolution.

Nicolas Pugeaultمشاهده پروفایل

دانشیار

• Cognitive Vision
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Dr. Nicolas Pugeault is a Reader in Computing Science at the University of Glasgow's School of Computing. He holds a PhD from the University of Göttingen and has held roles including Postdoc at the University of Surrey and Assistant Professor at the University of Southern Denmark. His research focuses on cognitive vision, machine learning, and visual attention in complex control tasks. He has led projects like the EPSRC-funded DEVA grant and collaborated with institutions like the Alan Turing Institute. Education: Engineer degree from ESIEA Paris, MSc in Computational Intelligence from Plymouth, PhD from Göttingen. Research interests include human vision insights, visual attention modeling, and contextual scene understanding. Awards include the Alan Turing Institute Fellowship (2018–2020). Publications span anomaly detection in medical imaging, contextual object detection, and autonomous driving. His work integrates AI with robotics and environmental applications, such as weather forecasting and plankton analysis. He supervises a diverse cohort of PhD students across vision, robotics, and machine learning. Grants include leadership on EPSRC and InnovateUK projects. Teaching includes modules on Deep Learning and Data Science. His labs and teams contribute to advancements in cognitive vision systems and AI-driven solutions for real-world challenges.

Jonathan Liمشاهده پروفایل

مدرس ارشد

• Engineering Education Technology
• Educational Technology (Mobile/Web)
• Engineering Outreach
• +۴ مورد دیگر

Dr Jonathan Li is an Education-Focused Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University, and serves as Deputy Associate Dean Education (First Year Studies) in the Faculty of Engineering. He holds a PhD from the University of Melbourne and a dual degree in Computer Science and Electrical/Electronic Engineering from the University of Western Australia. Prior to academia, he worked in optical fiber/wireless network optimization at Telstra Research Labs and a startup. His research focuses on educational technology (e.g., mobile/web platforms), engineering outreach programs, and diversity initiatives. Notable projects include developing the 'Online Sign Language Dictionary' to improve accessibility, the 'Catch me before I fail' early intervention framework for student academic success, and the iVERVE telehealth platform for stroke recovery support. He leads interdisciplinary collaborations across engineering education, healthcare technology, and STEM equity. Key contributions include advancing LMS-based student workload metrics, AR visualization tools for engineering education, and strategies to increase female participation in STEM. He has supervised over 40 research outputs since 2003, focusing on pedagogical innovation and clinical technology solutions. Current projects emphasize scalable educational interventions and recovery-focused healthcare systems.

Stefan Fuestمشاهده پروفایل

پژوهشگر

• Cartographic Symbolization
• Cognitive Issues in Map Visualization
• Route Choice Behavior
• +۳ مورد دیگر

Dr. Stefan Fuest is a Researcher at the Institute of Cartography and Geoinformatics, Leibniz University Hannover. He holds a Dr.-Ing. in Geoinformatics and has been affiliated with the university since 2018. His career includes roles as a Research Associate, Scientific Coordinator of the Leibniz Research Center GEO (2023-2024), and currently leads research projects in cartography and geoinformatics. Education: Abitur, Kopernikus-Gymnasium, Beckum (2009) M.Sc. in Geoinformatics, Westfälische Wilhelms-University Münster (2017) Research Interests: Focus on cartographic symbolization, cognitive aspects of map visualization, route choice behavior, and uncertainty visualization. His work bridges theoretical cartography with practical applications in urban mobility and environmental science. Publications Trends: Recent work emphasizes route optimization for cyclists, visual communication of risk, and historical spatial data analysis. He actively publishes in journals like International Journal of Cartography and Transportation Research Interdisciplinary Perspectives , with a focus on applying cartographic methods to societal challenges. Advising & Grants: Supervised theses on environmentally balanced routing algorithms (2019) and historical sea voyage visualization (2024). Collaborates on projects like DiViAS (digitization of colonial collections) and urban mobility safety assessments. Lab/Team Affiliation: Part of the Institute of Cartography and Geoinformatics, contributing to interdisciplinary projects at the Leibniz Research Center GEO.

Longzhi Yangمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۱۱ مورد دیگر

Longzhi Yang is a Professor at Northumbria University’s Department of Computer and Information Sciences, currently serving as Director of Education. He holds a PhD in Computing Science from Aberystwyth University (2011) and has extensive research experience in Artificial Intelligence, Robotics, Cybersecurity, and Manufacturing. His work emphasizes real-world applications under uncertain environments, supported by grants from EPSRC, Innovate UK, and industry partners. Research interests include Computational Intelligence, Machine Learning, Cybersecurity, Robotics, Planning/Scheduling, and Additive Manufacturing. Recent projects focus on energy storage systems, fuzzy logic control, and data-driven robotic systems. He has organized major conferences like the UK Workshop on Computational Intelligence and the IEEE ICMLA. Publications span topics such as reinforcement learning for EVs, fuzzy neural networks, and cybersecurity frameworks. Awards include the Best Paper Award at UKCI 2018 and 2016. He actively supervises PhD students and leads interdisciplinary initiatives like the COVER project for emergency response drones and 3D-printed furniture manufacturing. Education: PhD in Computing Science (Aberystwyth University, 2011) Funding: EPSRC, ESRC, Innovate UK, RAEng Grants: 4 active/funded projects including smart manufacturing and emergency response systems Labs/Teams: Involved in robotics, cybersecurity, and intelligent manufacturing research groups

Karrie Godwinمشاهده پروفایل

استادیار

• Developmental Psychology
• Cognitive Development
• Attention Regulation
• +۳ مورد دیگر

Karrie Godwin is an Assistant Professor in the Department of Psychology at the University of Maryland, Baltimore County (UMBC). Her research focuses on cognitive and environmental factors influencing children's development and learning, with particular emphasis on attention regulation, executive function, language acquisition, and categorization. She directs the Child Development Lab, which collaborates with the Sherman Center for Early Learning in Urban Communities. Dr. Godwin holds a PhD from Carnegie Mellon University (2015) and an M.Ed from Harvard University (2006). She teaches Research Methods in Psychology courses (PSYC 312, PSYC 710) and actively mentors both undergraduate and graduate students in experimental research methodologies. Her research explores how classroom environments and instructional materials can be optimized to enhance learning outcomes. Key contributions include studies on off-task behavior in elementary students, the impact of visual environments on attention, and the development of category-based reasoning. Dr. Godwin has developed innovative assessment tools like the Monster Mischief video game to measure selective sustained attention in young children. Lab Location: Sondheim 405 Lab Website: childdevelopmentlabgodwin.com Office: Math/Psychology 337 Graduate Program: Applied Developmental Psychology Dr. Godwin's work bridges developmental psychology with educational practice, emphasizing real-world applications of research findings. She is currently accepting graduate students interested in cognitive development's implications for learning.

• Occupational Therapy
• Mental Health
• Disability Research
• +۷ مورد دیگر

Ellie Fossey is an Adjunct Professor at the Living with a Disability Research Centre, La Trobe University, and an Honorary Fellow in the Department of Psychiatry at the University of Melbourne. She has been a key figure in occupational therapy research and education since 1994, with experience across Australia, the UK, and Singapore. Education: DipCOT, United Kingdom MSc in Health Psychology, City, University of London PhD, University of Melbourne Her research centers on understanding how health and life changes affect people's daily occupations, particularly among those experiencing mental health challenges. She emphasizes qualitative and participatory approaches, often collaborating with individuals with lived experience. Her work spans vocational rehabilitation, mental health service design, caregiving, and inclusive education. Recent publications highlight a strong focus on mental health recovery, occupational participation after trauma or disability, and co-design in health services and education. Her research frequently employs qualitative and mixed methods to explore patient experiences, service effectiveness, and cultural influences on care. Scientific Awards: No awards listed in the provided text. Ellie has supervised numerous research projects and secured funding from national bodies such as the NHMRC and the Victorian Department of Health. Her collaborative work includes partnerships with mental health services, educators, and community organizations. She is actively involved in developing occupation-focused frameworks and promoting recovery-oriented, inclusive practices in healthcare and education. Labs and Teams: Living with a Disability Research Centre, La Trobe University Psychosocial Research Centre (co-located with Moreland Community Mental Health Service, Coburg) Department of Psychiatry, University of Melbourne (Honorary)

Karen Morrisonمشاهده پروفایل

استادیار

• Early Childhood Education
• Elementary Literacy Strategies
• Visual/Graphical Literacy
• +۳ مورد دیگر

Karen Morrison is an Assistant Professor of Elementary Education in the Department of Leadership and Teacher Education at the University of South Alabama's College of Education and Professional Studies. She holds a Ph.D. in Curriculum and Instruction (Elementary Literacy) from the University of Alabama (2019), an Ed.S. in Elementary Education from the University of West Alabama (2012), and degrees from the University of Montevallo (M.Ed. 2008, B.S. 2003). Her teaching philosophy emphasizes fostering confident, lifelong learners through collaborative, research-based instruction. Education: Ph.D. in Curriculum and Instruction (Elementary Literacy), University of Alabama, 2019 Ed.S. in Elementary Education, University of West Alabama, 2012 M.Ed. in Elementary Education, University of Montevallo, 2008 B.S. in Elementary Education, University of Montevallo, 2003 Research Focus: Dr. Morrison investigates early literacy strategies, particularly the role of visual/graphical literacy in content areas. Her work explores innovative instructional methods including project-based learning and lesson study. She emphasizes teacher preparedness in integrating STEM education and social emotional learning (SEL) into K-2 classrooms. Outreach & Service: She actively contributes to the LTE Department through roles on the Faculty Service and Development Committee, CPAC, and as Co-Program Coordinator for Early Childhood Studies. Her leadership extends to Kappa Delta Pi sponsorship and the New Faculty Scholars program. Teaching & Courses: Teaches courses like LTE 645 (Curriculum Leadership), RED 531 (Reading Instruction), and RED 648 (Literacy Coaching). Her courses blend theory with field experiences to prepare preservice and inservice teachers.

Stacy Reederمشاهده پروفایل

استاد

• Mathematics Education
• STEM Education
• Teacher Preparation
• +۴ مورد دیگر

Stacy Reeder, Ph.D., serves as Dean and Professor in the Department of Instructional Leadership and Academic Curriculum at the Jeannine Rainbolt College of Education, University of Oklahoma. She has held leadership roles including Interim Dean (2020–2021), Acting Dean (2019–2020), and Department Chair. Her academic rank is Professor, specializing in mathematics education with a focus on teaching practices, teacher preparation, and curriculum development. Reeder holds a B.S. in Secondary Mathematics (Oklahoma Baptist University), M.Ed. in Secondary Education (University of Central Oklahoma), and Ph.D. in Instructional Leadership and Academic Curriculum (OU). Her research, funded over $2M in grants, explores mathematics teaching, problem-solving, and teacher education. She has published in journals like School Science and Mathematics and Investigations in Mathematics Learning . Reeder has advised 17 doctoral dissertations and 40+ master’s projects. Awards include the OU Regents’ Award for Superior Teaching (2015) and two Pedersen Excellence in Graduate Mentoring Awards. She contributed to state-level education policies, including chairing Oklahoma’s Academic Standards for Mathematics Writing Team (2015–2016). Her service includes roles on the Provost’s Advisory Committee on Community Engagement and the Service Learning Task Force. Prior to OU, she taught in public schools and served as an assistant professor at Oklahoma State University.

Zovanga L Koneمشاهده پروفایل

مدرس

• Migration Economics
• Labor Market Economics
• International Migration
• +۵ مورد دیگر

Zovanga L Kone is a Lecturer in Economics at the School of Business, University of Leicester. Their research focuses on migration's impact on labor markets, including integration of refugees, visa policy efficacy, and drivers of migration. Dr. Kone holds a PhD in Economics from the University of Nottingham and an MSc in Econometrics & Mathematical Economics from the London School of Economics (LSE). Research interests include migration economics, labor market dynamics, and policy analysis. Their work addresses questions such as the effects of immigration on wages, brain gains vs. brain drain, and the role of visa policies. Recent publications explore self-employment among asylum seekers, demographic shifts in OECD labor markets, and internal migration barriers in India. Academic Roles: Member of the RES Conference Committee, Chair of the School of Business Black Excellence Group. Education: PhD Economics, University of Nottingham MSc Econometrics & Mathematical Economics, LSE Research Themes: Migration's socio-economic impacts, labor market integration, policy evaluation. Supervision activities include guiding research students, though specific advisees are not listed here. Active in academic citizenship initiatives to promote diversity and excellence in higher education.

Aspa Baroutsisمشاهده پروفایل

پژوهشگر

• Education Policy
• Media Representation of Teachers
• Alternative Education Settings
• +۳ مورد دیگر

Aspa Baroutsis is a researcher affiliated with the University of Queensland and Victoria University in Australia, focusing on education policy, media representation of teachers, and alternative schooling. Collaborating with scholars like Annette Woods, Martin Mills, and Lisa Kervin, her work bridges critical literacy, pedagogical innovation, and student engagement in diverse educational contexts. Her research explores media-driven accountability in education design-based experiments in teacher-researcher collaborations computational thinking in primary classrooms student voice in alternative schools Baroutsis’s work highlights the intersection of technology, literacy, and equitable pedagogy, often employing interdisciplinary methodologies and focusing on marginalized youth. Recent publications emphasize the role of data literacy, makerspaces, and narrative inquiry in reshaping educational practices. While no specific scientific awards are documented in the provided texts, her collaborations and editorial contributions underscore her impact on educational discourse.