Find Academic Supervisors

J. Paul LouthView profile

Associate Professor

• Critical Music Pedagogy
• Philosophical Issues in Music Education
• Music Education Technology
• +4 more

Dr. J. Paul Louth is Associate Professor of Music Education at Youngstown State University's Dana School of Music & University Theatre, teaching graduate/undergraduate courses in music education foundations, methods, and research while supervising student teachers and advising music education students. His educational background includes: Ph.D. in Music Education (2008), Western University M.Mus. in Music Education (2004), Western University Bachelor of Education (1997), University of Toronto Bachelor of Music in Jazz Trombone (1995), University of Toronto Trombone Diploma (1991), Mohawk College of Applied Arts and Technology Dr. Louth's research centers on critical music pedagogy , philosophical issues in music education , music education technology , and the intersection of formal and informal learning . His work employs critical theory to dissect ideology, social justice, and epistemological frameworks within music education contexts, often challenging neoliberal influences and advocating for self-reflexive practices. His 15 most recent publications reveal a sustained focus on critical formalism, digital media's role in music literacy, and the sociopolitical dimensions of music education. Key trends include applying sociological theories (e.g., Sennett's public space concepts) to music classrooms and examining how technology mediates music learning experiences. His scientific recognition includes: Distinguished Professor Award in Research (YSU, 2024) Sabbatical Leave Award (YSU, 2020) supporting his 2023 book Research Professorship (YSU, 2016) funding 2022 fieldwork Dr. Louth actively mentors music education students through thesis supervision and student teacher oversight. His research has been institutionally supported through sabbaticals and professorships, while his editorial service includes the Philosophy of Music Education Review board and contributions to the Oxford Handbook of Social Justice in Music Education. He also chairs NAfME's Philosophy SIG and organizes Ohio's annual graduate research poster session. As a composer, he has premiered works at the Midwest Band Clinic and serves on adjudication panels for Music USA Festivals and Musicfest Canada, bridging scholarly work with practical music pedagogy.

Hamidreza MahyarView profile

Assistant Professor

• Machine Learning
• Network Science
• Natural Language Processing
• +3 more

Hamidreza Mahyar is an Assistant Professor at the Faculty of Engineering , McMaster University , and an Associate Member of the Computing and Software department. His academic journey includes postdoctoral work at Boston University and TU Wien , and a Ph.D. in Computer Science from Sharif University of Technology . Research Focus: Mahyar's work bridges machine learning and network science , emphasizing graph neural networks for applications in social networks , recommendation systems , drug discovery , and generative AI . His research spans industrial AI (Industry 4.0 projects at Infineon Technologies), biomedical engineering (organoid morphology analysis), and semiconductor manufacturing (wafermap modeling). Scientific Recognition: McMaster Teaching Merit Award (2022) Vector Scholarship in AI (2023) NSERC USRA Award (2022) Google Cloud Platform for Research Award (2018) Best Paper Selection, Complex Networks (2018) Academic Leadership: He mentors PhD students (Taraneh Ghandi) and MSc students (Reza Namazi, Mohammad Khodadad, Ali Shiraei), while leading AI initiatives at Mind Lab 56 and BrainMaven . Former mentees include industry leaders at Google, Accenture, and ETH Zurich.

Maria Sanchez-OrtizView profile

Senior Lecturer

• Translation Studies
• Literary Translation
• Interpreting Studies
• +7 more

Maria Sanchez-Ortiz is a Senior Lecturer in Translation and Interpreting Studies at the School of Language, Literature, Music and Visual Culture (LLMVC), University of Aberdeen, where she has been actively contributing since 2016. She serves as Programme Director for both the on-campus and distance learning MSc in Translation Studies and co-directs the Centre for Multilingual Research. She previously directed the Centre for Translation and Interpreting Studies from 2020 to 2023 and coordinated the undergraduate programme in Modern Languages and Translation from 2017 to 2020. Her educational background is extensive and interdisciplinary: PhD in Translation Studies, University of Bradford (2006) MSc in Dubbing, Subtitling & Localization, Instituto Superior de Estudios Lingüísticos y Traducción, Spain (2019) Postgraduate Certificate in Academic Practice, University of Salford (2015) Diploma in Audiovisual Translation, Universidad de Educación a Distancia, Spain (2014) Diploma in Public Service Interpreting, CIoL (2007) MA in European Studies, University of Bradford (1994) Diploma in Spanish with Translation and Interpreting, CIoL (1992) BA in English Language and Literature, University of Granada, Spain (1989) Maria's research focuses on Translation and Interpreting Studies, with particular emphasis on literary translation, audiovisual translation, translator training, sociolinguistics, dialect translation, and the impact of AI on translation professions. She has supervised multiple PhD students to completion and actively welcomes new doctoral candidates in Spanish and Latin American Studies. Her work consistently bridges theory and practice, with a strong pedagogical orientation. Her 15 most recent publications span from 1996 to 2024, reflecting a sustained engagement with core issues in translation. The articles reveal a deep interest in the pragmatics, ethics, and cultural dimensions of translation, particularly in literary and dialectal contexts. A recurring theme is the translator's agency and the challenges of preserving stylistic and sociolinguistic nuances. More recently, her work has addressed gender, multiculturalism, and the evolving role of technology in translation. She has received numerous teaching accolades, including: Awarded 'Best Undergraduate Lecturer', University of Aberdeen (2024–2025) Awarded 'Funniest Lecturer', University of Aberdeen (2023–2024) Awarded 'Best Taught Postgraduate Lecturer', University of Aberdeen (2018–2019) Nominated for 'The Most Inspiring Lecturer' (2019–2020) and Excellence in Teaching awards Maria Sanchez-Ortiz is an active supervisor, mentor, and curriculum developer. She has served as an external examiner for MA and BA programmes at several UK universities, including Manchester, Open University, Portsmouth, Durham, and Bath. She is a Fellow of the UK Higher Education Academy (since 2015) and a member of key professional bodies such as the Institute of Translation and Interpreting (ITI) and the International Association for Translation and Intercultural Studies. She also contributes to academic journals as a member of editorial and advisory boards. She leads and co-directs major research centres at Aberdeen, fostering interdisciplinary collaboration and innovation in multilingual research. Her leadership in the European Graduate Placement Scheme and membership in the PACTE Research Group highlight her commitment to international cooperation and empirical research in translation competence.

Stavros DemetriadisView profile

Professor

• Learning Technologies
• Educational Technology
• ICT in Education
• +7 more

Stavros Demetriadis is a Full Professor at the School of Informatics, Aristotle University of Thessaloniki, Greece. His research focuses on Learning Technologies, including Conversational Agents in Education, Learning Analytics, Computer-Supported Collaborative Learning (CSCL), Computational Thinking, and Massive Open Online Courses (MOOCs). He has led EU-funded projects like colMOOC and developed educational tools such as 'pytolearn' for Python instruction and 'Cubes Coding' (winner of Open Education Challenge 2014 and NUMA Competition 2014). He has supervised 5 completed PhD theses, 4 ongoing PhDs, and over 60 Master’s theses. Academic Appointments: Full Professor (2020–present), Associate Professor (2015–2020), Assistant Professor (2012–2015), Lecturer (2002–2008), Informatics Teacher (1989–2002) Education: PhD in Multimedia Technology in Education (2000), MSc in Electronic Physics (1986), BSc in Physics (1983) His work bridges AI and education, with over 161 publications and an h-index of 27. Recent research explores ChatGPT integration, ethics in Learning Analytics, and AI-driven assessment tools. He has delivered invited talks at institutions like the University of Valladolid (2024) and coordinates the 'Teachers' Fast-paced Distance Training on Tele-education' project. Awards include three international best paper awards and recognition for his 'Cubes Coding' project. Key Research Contributions: Developed frameworks for Conversational Agents in CSCL Innovated Computational Thinking pedagogy through robotics Explored ethics and culture in Learning Analytics adoption Created Python-based MOOCs for non-programmers He has taught courses like Human-Computer Interaction and Learning Analytics, and led short programs on Conversational AI. His collaborations span institutions in Spain, Denmark, and Greece. ORCID: 0000-0002-1561-6372; Google Scholar, Semantic Scholar, and Scopus profiles list his extensive output.

Cengiz Hakan AydinView profile

Professor

• Open and Distance Learning (ODL)
• Educational Technology
• Artificial Intelligence in Education
• +5 more

Cengiz Hakan Aydin , PhD, is a full professor at Anadolu University in Turkey, where he has been a faculty member since the early 1990s. He currently serves as the Head of the Distance Education Department in the Faculty of Open Education and is the Director of the OpenAnadolu Project , which includes the AKADEMA MOOCs platform. Additionally, he holds the role of Director of the Office of Learning and Teaching Enhancement at Özyeğin University . Dr. Aydin’s research is centered on the design and development of open and distance learning (ODL) environments. His work explores the integration of emerging technologies such as AI, VR, AR, and MR into educational systems. He is deeply engaged in the study and promotion of Open Educational Resources (OER) , Open Educational Practices (OEP) , and Massive Open Online Courses (MOOCs) . His scholarly contributions also address current trends and challenges in higher education. Dr. Aydin has held leadership roles in several international organizations. He served as President and Board Member of the International Division at the Association for Educational Communications and Technology (AECT) , and as a Board Member of the International Council for Educational Media (ICEM) . He is currently a Steering Committee Member of the OpenupEd initiative under the European Association of Distance Teaching Universities (EADTU) , and a member of the AECT Board and the Centre for Distance Education Research (COER) . He is actively involved in editorial work, serving on the boards of International Review of Research in Open and Distance Learning (IRRODL) , Educational Media International (EMI) , and Journal of Open, Distance, and Digital Education (JODDE) . Research Projects and Grants: Volkswagen Foundation – AI in Education (AIEd) : Local researcher. Erasmus+ CRED4TEACH (MOOC-based micro-credentials for teacher professional development): Leading researcher at Anadolu University. Erasmus+ ADMIT (Generative AI and Large Language Models in Higher Education): Researcher. Anadolu University Internal Funds – Multiple projects including AI-based tools for writing skills, intelligent personal education coach, and automated grading systems for open-ended questions. Dr. Aydin serves as both Project Coordinator and Researcher . Labs and Teams: Dr. Aydin leads the OpenAnadolu Project , which encompasses platforms like AKADEMA and serves as a hub for innovation in distance education and MOOC development at Anadolu University.

• Educational Technology
• Instructional Psychology
• Scientific Reasoning
• +6 more

Jan Elen is a full Professor at KU Leuven, specifically within the Instructional Psychology and Technology department of the Faculty of Psychology and Educational Sciences. They are also a member of DigiSoc – KU Leuven Institute for Digital Society and LIVO – KU Leuven Institute for Educational Research. Jan Elen's research interests focus on: Educational Technology and Digital Learning Instructional Psychology and Knowledge Scientific Reasoning and Argumentation in Education Educational Curation and Resource Management Teacher Education and Professional Development Assessment Methods and Educational Measurement Current research projects include Sabbatperiode Jan Elen: Fundamenten voor onderwijskundig redeneren (2023-2024), ICT in de lerarenopleiding: affordance versus daadwerkelijk gebruik in geselecteerde lerarenopleidingen in Ethiopië (2023-2027), and Naar een complementariteit tussen leraar en GenAI in de rol van de leraar als ontwerper van leeromgevingen (2022-2026). Their recent publications demonstrate a strong focus on the intersection of educational psychology, technology integration, and instructional design, particularly examining how teachers and students interact with digital learning environments and develop scientific reasoning skills, with emerging work on generative AI applications in education. Jan Elen serves in various academic capacities: Observer of the POC Criminological Sciences Observer of the POC Rights Member (as ZAP) of the PPW Faculty Council Member of the Assessment Committee of the Faculty of Psychology and Educational Sciences Observer of the OC Master of Psychology: Theory and Research Jan Elen teaches courses related to Leren in maatschappelijk betrokken onderwijs (Learning in socially engaged education) and supervises student placements in psychology and educational sciences across multiple formats including distance learning.

Thomas EckertView profile

Professor

• Adult Education
• Educational Equity
• School Quality Research
• +5 more

Prof. Dr. Thomas Eckert holds a professorship at the Faculty of Psychology and Education, Ludwig-Maximilians-Universität München (LMU Munich), specializing in historical socialization research and qualitative methods since 2003. His career spans from 1987-2002 as an employee at Freiburg University's Institute of Educational Sciences, followed by habilitation (1999) and promotion to full professor. Research Focus: Professionalization in pedagogical fields School quality research Educational equity and inclusion Quantitative/qualitative social research methods Lifelong learning systems Recent Publications: Address inclusion monitoring (2021-2025), educational equity frameworks (2022), and methodological innovations in statistical modeling (2019). His work bridges empirical pedagogy with policy analysis, examining transitions in educational systems and regional learning structures. Teaching Contributions: He has developed curriculum materials for distance learning courses and contributed to handbooks on adult education, educational statistics, and teaching practice organization.

Christine DrewView profile

Assistant Professor

• Behavior Analysis
• Special Education
• Intellectual and Developmental Disabilities (IDD)
• +6 more

Dr. Christine Drew serves as Assistant Professor in Auburn University's College of Education within the Department of Special Education, Rehabilitation, and Counseling. She coordinates the Graduate Transition Certificate Program and advises the EAGLES Program, leveraging her expertise in behavior analysis for intellectual and developmental disabilities. Her academic foundation includes a Ph.D. from the University of Oregon, M.Ed. in Special Education from Texas State University, and B.A. in Economics from the University of Texas. Educational background: Ph.D. in Special Education from University of Oregon M.Ed. in Special Education with Applied Behavior Analysis concentration from Texas State University B.A. in Economics with minor in secondary social studies education from University of Texas Dr. Drew's research pioneers intersections of behavior analysis, sexuality education, and IDD support through parent collaboration. Her work advances telehealth interventions for challenging behavior and inclusive practices for neurodiverse populations, with growing emphasis on social justice dimensions like LGBTQIA+ inclusion and racial equity in autism services. Methodologically, she integrates single-case designs with community-based participatory approaches to address systemic barriers. Analysis of her 2021-2025 publications reveals three dominant trajectories: (1) Practical skill-building interventions for daily living and menstrual health, (2) Telehealth adaptations for family-implemented behavior support across generations, and (3) Critical examinations of equity gaps in disability research and incarceration systems. Her scholarly impact extends through editorial contributions to the Journal of Positive Behavior Interventions . Professional recognition includes Board Certified Behavior Analyst-Doctoral (BCBA-D) status achieved in 2019, though no formal scientific awards are documented. Her editorial board service demonstrates peer acknowledgment of expertise. As EAGLES Program Faculty Research Advisor, Dr. Drew mentors transition-focused projects while coordinating graduate certificate training. Her telehealth research during the pandemic suggests NIH or IES grant involvement, though specific funding isn't detailed. Current work emphasizes sustainable activism models for behavior analysts. Dr. Drew leads Auburn's EAGLES Program research initiatives, developing inclusive higher education frameworks for students with IDD. Her telehealth case studies involve multi-stakeholder teams including grandparents, parents, and school personnel, reflecting her commitment to ecological intervention approaches.

• Information Visualization
• Data Visualization
• Human-Computer Interaction
• +4 more

Dr. Stuart Marshall serves as Associate Dean of Academic Development in the Faculty of Science and Engineering at Victoria University of Wellington - Te Herenga Waka, where he also holds the academic rank of Senior Lecturer. Previously, he served as Head of School for the School of Engineering and Computer Science from 2015-2021 after joining the institution as a Lecturer in 2003. His academic journey includes completing his BSc, MSc, and PhD in Computer Science at Victoria University of Wellington, with his doctoral research focusing on software reuse. Marshall's research interests center on information and data visualization, particularly exploring how visualization can function as collaborative tools in team environments rather than single-user applications. He also investigates explainable AI and mobile user interface design with emphasis on promoting healthy device usage patterns. His work bridges theoretical computer science with practical applications in education and environmental analysis. Analysis of his publication record reveals a consistent focus on visualization techniques, with recent work shifting toward immersive analytics and virtual reality applications for complex data analysis, particularly in ecosystem services. Earlier publications concentrated on mobile learning applications grounded in transactional distance theory, software visualization for large codebases, and graph layout algorithms. Marshall has supervised six PhD students and eight Masters students to completion, with current doctoral supervision spanning immersive environments for reading assistance, medical diagnosis interfaces, and cardiac procedure simulation. His grant portfolio includes multiple ACM ISS 2022 projects with industry partners including Sensor Holdings Limited, Niantic, Autodesk, and Northeastern University, along with an Australian Research Council grant for digital games preservation. Teaching responsibilities encompass foundational programming, safety-critical systems, human-computer interaction, and data visualization across undergraduate and graduate courses. He teaches subjects including SWEN326 (Safety-Critical Systems), CGRA151 (Introduction to Computer Graphics and Games), and DATA301 (Data Science in Practice), with teaching assignments scheduled through 2026.

Dunja DuićView profile

Associate Professor

• EU Law
• International Security Policy
• Human Rights Protection
• +4 more

Associate Professor Dunja Duić holds a prominent position at the Faculty of Law, JJ Strossmayer University of Osijek, where she serves as Vice-Dean for Science, International Cooperation, and Postgraduate Studies. Her academic journey includes advanced studies in European Law at Ghent University (LLM cum laude) and a PhD from Zagreb University. Specializing in EU Law, her research focuses on external relations, defense policy, migration, cybersecurity, and human rights. She leads NATO's Science for Peace project on cyber defense and chairs the international conference EU and Comparative Law Issues. As a certified Council of Europe trainer, she develops distance learning programs for legal professionals. Her editorial role for the indexed ECLIC series highlights her scholarly contributions. Professional memberships span the European Law Institute, UACES, and the Croatian-Polish Scientific Networks. Education: Bachelor of Law, Faculty of Law Osijek (2002-2008) Advanced Master of European Law, Ghent University (2008-2009) PhD in European Law, Zagreb University (2009-2014) Research: Her work bridges EU institutional dynamics and practical challenges like migration governance, digital security, and child protection. Notable projects include NATO cyber defense training, EU-Africa security cooperation studies, and comparative analyses of asylum frameworks. Teaching: She instructs courses on EU institutions, external security, and human rights across undergraduate, graduate, and doctoral programs. Her pedagogical innovations include moot court exercises and legal clinics. Leadership: As Vice-Dean, she oversees scientific activities, international partnerships, and postgraduate programs. She collaborates with institutions like the Center for Peace, Nonviolence and Human Rights and the European Law Institute. Professional Development: Visiting scholarships at Johannes Kepler University (2014), Zaragoza University (2017), and Perugia University (2022) enrich her transnational perspective.

Muhammad HumayounView profile

Senior Lecturer

• Machine Learning
• Computational Linguistics
• Natural Language Processing
• +5 more

Dr. Muhammad Humayoun is a Senior Lecturer at Karlstad University, Sweden, specializing in informatics education and computational linguistics research. He holds a Ph.D. from University of Grenoble Alpes (2012) and M.Sc. from Chalmers University (2006). His academic career spans over 15 years across Pakistan and Sweden, including teaching roles at COMSATS University, University of Central Punjab, and Higher Colleges of Technology. Research Focus: His work centers on NLP applications for under-resourced languages like Urdu/Punjabi, including text summarization, abusive language detection, and formalization of mathematical texts. He has developed linguistic resources (corpora, lexicons) and contributed to plagiarism detection systems in programming courses. Teaching Contributions: Designed and taught over 15 courses across multiple universities, including advanced programming, AI, and cloud computing modules. Currently teaches graduate-level courses like 'Legal Tech, AI and Rules-as-Code' and undergraduate software engineering courses at Karlstad University. Awards: Recognized for Urdu threat detection system (3rd place, 2021) and top rankings in Urdu fake news competitions. His work on Urdu summarization corpora has been widely cited in computational linguistics research.

Anthony ClarkView profile

Assistant Professor

• Autonomous Robotics
• Evolutionary Robotics
• Computer Vision
• +7 more

Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.

• Bioinformatics and Computational Biology
• Machine Learning
• Data Science
• +3 more

Fardina Alam is a Lecturer in the Department of Computer Science at the University of Maryland, College Park. She holds a Ph.D. from George Mason University (2023), where she specialized in Structural Bioinformatics and Machine Learning. Her academic rank reflects UMD's Professional Track Faculty, equivalent to an Assistant Professor of Teaching. Dr. Alam's research focuses on deep learning applications in protein structure prediction, generative AI, and ethical data practices. She has contributed to projects funded by an NSF FET Grant (#1900061) and published in journals like Biomolecules. Awards include the 2023 Outstanding Dissertation Award and 2022 Editor's Choice Article recognition. Education: Ph.D. (Computer Science, George Mason, 2023); M.S. (Computer Science, George Mason, 2019); B.S. (Computer Science and Engineering, Military Institute of Science and Technology, Bangladesh, 2013). Her teaching emphasizes data science ethics and interdisciplinary applications, including a new course for UMD's Data Science minor. Professional roles include Associate Guest Editor at Bioinformatics Advances (2024), Faculty Advisor to the Bangladeshi Graduate Student Association, and Program Co-Chair for the ACM-BCB Computational Structural Bioinformatics Workshop (2023). Research Interests: Structural Bioinformatics, Generative AI, Responsible AI Ethics, Deep Learning, Machine Learning, and Data Science. Her work bridges computational biology and AI, with a focus on equitable data practices and protein structure analysis. Recent projects address challenges in generating physically-realistic protein structures and improving question-answering systems through equitable data strategies. Awards: Recipient of the 2023 Outstanding Dissertation Award (George Mason University), 2023 Best Paper Award, and 2022 Biomolecules Editor's Choice Article. These accolades highlight contributions to protein structure prediction and bioinformatics methodology. Advising & Grants: NSF FET Grant #1900061 supported her computational biology research. She advises the Nobanno graduate student group and chairs workshops in her field. Her teaching and research aim to promote inclusivity, particularly for underrepresented groups in STEM. Labs/Teams: Active contributor to the Computational Biology Lab at George Mason University and collaborates with UMD's interdisciplinary teams on data ethics and AI applications. Her work aligns with UMD's vision for data-driven education and innovation.

Samantha CurleView profile

Professor

• English Medium Instruction (EMI)
• Integrating Content and Language in Higher Education (ICLHE)
• Advanced Quantitative Research Methods (AQM)
• +4 more

Samantha Curle is a Reader in the Department of Education at the University of Bath, serving as Director of all MRes Programmes in the Humanities and Social Sciences Faculty. She also holds roles as Institutional Academic Lead for the South West Doctoral Training Partnership and Director of Studies for the MRes in Advanced Quantitative Methods. Her research focuses on English Medium Instruction (EMI) in global higher education, particularly its academic and linguistic outcomes, technology integration, and psychological dimensions. Career highlights include a PhD from the University of Oxford (2018) on stakeholders’ attitudes toward EMI in Japanese higher education. She has extensive editorial roles, including guest editorships at Frontiers in Educational Psychology and Data in Brief . Her expertise spans quantitative methods, applied linguistics, and bilingual education, contributing to UN Sustainable Development Goal 4 (Quality Education). Education: PhD (University of Oxford, 2018) MSc Research Methods (University of Oxford, 2014) Bachelor of Education (Open University of Hong Kong, 2010) Grants and Projects: Leading projects on EMI in Saudi Arabia, Brazil, and Hong Kong-UK collaboration Focus on educational inequalities in Spain using CART models Awards: Adjunct Professor (2024) Her research has yielded 88+ publications, emphasizing EMI’s role in STEM, teacher professional development, and sustainable education. She advises doctoral students on quantitative EMI studies and advocates for evidence-based policy in multilingual education.

Peter HertkornView profile

Professor

• Model-Driven Software Development
• Domain-Specific Languages
• DevOps Automation
• +2 more

Prof. Peter Hertkorn is a full professor of Computer Science at Reutlingen University's Faculty of Computer Science, specializing in programming languages and databases. He holds leadership roles including Chair of the Examination Board for Media and Communication Informatics B.Sc. and BAföG Officer for the same program. His research focuses on model-driven software development, domain-specific languages, DevOps automation, interactive learning technologies, and distributed ledger technologies. He co-leads the Software Engineering and User Experience (swuxLAB) and Distributed Ledger Technologies (DLT-LAB) research groups. Education background includes a Diplom-Informatiker (master's equivalent) and Dr.-Ing. (PhD) from University of Stuttgart. Professional experience includes 5 years at T-Systems International GmbH and prior academic roles at University of Stuttgart. His teaching focuses on Software Engineering and Database Systems courses. Publications span interactive learning environments, collaborative innovation systems, and AR-based knowledge spaces. Active in academic service roles and interdisciplinary research collaborations since 2009.