جستجوی استاد راهنمای دانشگاهی

• Cybersecurity and Privacy
• Data Management and Data Science
• Distributed Computing and Systems Software

Professor Jun Zhang is a leading academic in cybersecurity at Swinburne University, Australia, where he directs the Cybersecurity Lab. He has been honored as Australia's top cybersecurity researcher and instrumental in establishing Swinburne as a globally recognized cybersecurity research institution. His work includes high-impact papers and multi-million-dollar R&D projects, culminating in awards like the 2021 'Top Cybersecurity Research Institution' accolade. As course director of the Bachelor of Cyber Security, he pioneered an industry-driven teaching model with Deloitte and CSIRO, significantly boosting course enrollment. His collaborations extend to Adobe's Curriculum Innovation Program and the Australian P-TECH initiative, promoting STEM education and cybersecurity awareness. He supervises doctoral candidates and leads grants focused on AI-driven cybersecurity, smart home security, and blockchain-based edge computing. His research spans vulnerability detection, GAN forensics, IoT security, and privacy preservation in OSNs. Research interests include cybersecurity fundamentals, data science applications, and distributed systems. Notable achievements include the PTFix framework for Java vulnerabilities, the IoTFuzz smart home testing system, and CTI mining methodologies. Awards reflect his mid-career research excellence and industry partnerships. His grants with CSIRO and defense organizations emphasize real-world impact, addressing challenges from malware detection to adversarial machine learning. The Cybersecurity Lab and collaborative projects like Artchain demonstrate his commitment to bridging academia and industry. Professional activities include supervising over 20 HDR students and securing grants totaling millions. His work on blockchain-based edge storage (CSEdge) and SDCCP congestion control highlights innovation in networking. Future directions include advancing AI for design collaboration with CSIRO and enhancing privacy in smart energy technologies. His contributions span technical, educational, and community outreach domains, positioning him as a pivotal figure in cybersecurity's evolution.

• Educational Technology
• Applied Linguistics
• TESOL (Teaching English to Speakers of Other Languages)
• +۳ مورد دیگر

Dr. Andy Bown is a Lecturer in Languages and TESOL at the University of Tasmania's Faculty of Education. He holds a PhD from Macquarie University (2015) and has over 30 years of experience in language education across Thailand, France, the UAE, and Australia. His research focuses on educational technology, second language acquisition, and culturally diverse learning contexts. He currently coordinates courses like EPR215 and EMT609, and supervises PhD candidates exploring technology's role in language learning. Education: PhD, 'Using a virtual learning environment for the development of L2 academic reading' (Macquarie University, 2015) MEd, 'The usefulness of guided feedback in a web-based IELTS reading programme for Arab learners' (University of Manchester, 2004) BA (Hons) in French and Linguistics (University of York, 1992) Research Interests: Dr. Bown specializes in Computer-Assisted Language Learning (CALL), mobile-assisted language learning, and second language reading strategies. His work emphasizes technology's role in linguistically diverse classrooms, particularly in developing countries. Recent projects include studies on social media for vocabulary development and culturally responsive pedagogy. Grants & Engagements: UTAS representative on the Modern Language Teachers’ Association of Tasmania Led the 'Early Language Learning' case study ($5,000 grant, 2017) Co-lead of the LinguaLab research group Labs/Teams: Co-leads the LinguaLab, a collaborative space exploring language education innovations.

Soon Lay Kiمشاهده پروفایل

دانشیار

• Applied Natural Language Processing
• Data Management
• Aspect-Based Sentiment Analysis
• +۹ مورد دیگر

Soon Lay Ki is an Associate Professor at the School of Information Technology, Monash University Malaysia, where she also serves as Associate Head (Graduate Research) since November 2018. Her academic journey began with roles at Multimedia University (MMU), where she was a Senior Lecturer and Deputy Dean (Research and Innovation) from 2016 to 2018. PhD in Web Engineering, Soongsil University, Korea Master of Science in Database, Universiti Putra Malaysia Bachelor of Computer Science, Universiti Putra Malaysia Her research centers on applied natural language processing and data management , with a focus on analyzing domain-specific and social media content. Her work spans aspect-based sentiment analysis , cyberbullying detection , misinformation detection , and relation extraction from conversational texts. Recently, her research has expanded into digital health , particularly emotion-aware mental health chatbots and emotion detection via video data. The most recent articles highlight a strong trend in AI for social good , including legal reasoning, mental health, accessibility, and public health. Her publications appear in high-impact journals and conferences such as Artificial Intelligence and Law , IEEE Transactions on Dependable and Secure Computing , and ACL-affiliated workshops. She has received notable scientific awards, including: ITEX'24 Silver Award for 'MOBOT' mental health chatbot (2024) Silver Medal at Malaysia Technology Expo 2023 for the same innovation The Incubator Grant: Bolster Category (2023) Dr. Soon has graduated seven PhD and three Master’s students, one of whom received the MMU Best Master Thesis Award in 2015. She leads multiple research grants, including FRGS-funded projects and industry collaborations with Telekom Malaysia and Intel . She is currently a Chief Investigator or Primary Chief Investigator on six active projects, including WHinc, WAge, and Epsilon, often in collaboration with Monash Australia and SEACO. She is part of key research teams such as the Action Lab at Monash University Australia and the South East Asia Community Observatory (SEACO) , contributing to inclusive research infrastructure and public health data access initiatives.

Jeong-Bae Sonمشاهده پروفایل

استاد

• Computer-assisted language learning
• Technology-enhanced language teaching
• Digital literacy
• +۶ مورد دیگر

Jeong-Bae Son is a Professor of Applied Linguistics and TESOL at the University of Southern Queensland's School of Education. He specializes in computer-assisted language learning (CALL), technology-enhanced language teaching, and teacher education. As APACALL President and TELTRI Director, he leads initiatives in digital pedagogy and teacher development. Education: BA (Chung-Ang University), MA (University of Queensland), PhD (Griffith University). His expertise includes AI in language education, digital literacy, and online teaching strategies. He has authored books such as Insights into Digital Literacy in Language Teaching and Teacher Development in Technology-Enhanced Language Teaching . Research focuses on CALL applications, teacher training, and technology integration. His recent work explores AI tools, online language teaching challenges, and social connectedness in language programs. He actively supervises postgraduate students and contributes to academic journals. Labs/Initiatives: Director of the Technology-Enhanced Language Teaching Research Institute (TELTRI).

• Applied Linguistics
• Computer-Assisted Language Learning (CALL)
• Second Language Acquisition
• +۳ مورد دیگر

Dr. Irene Shidong An is an Academic Fellow at The University of Sydney, affiliated with the China Studies Centre. She holds a PhD from the University of Sydney, an MA in Applied Linguistics from Griffith University, and additional qualifications in TESOL and Chinese language education. Her research focuses on CALL (Computer-Assisted Language Learning), Second Language Acquisition, and Chinese language teaching methodologies. Current projects explore language learning strategies in digital environments. Her educational background includes degrees from Tianjin University (China) and Sydney, reflecting her expertise in East Asian linguistics and applied education. Teaching responsibilities include modern Chinese language courses across all proficiency levels. Professional roles extend beyond academia, coordinating international student exchange programs and cultural events. Publications emphasize technology integration in language education, with recent works analyzing mobile learning via platforms like WeChat, pandemic-era online education sustainability, and intercultural study abroad experiences. Her interdisciplinary approach bridges applied linguistics, digital pedagogy, and global educational challenges. Labs/Teams: Active contributor to the China Studies Centre, collaborating on multilingual and multicultural research initiatives. Grants and advising details are currently unspecified in available texts.

Elizabeth Akinyi Ondulaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• Decision Theory
• +۳ مورد دیگر

Elizabeth Akinyi Ondula is an Assistant Professor of Computer Science at Winthrop University , with a Ph.D. in Computer Science from the University of Southern California where she was part of the Autonomous Networks Research Group under Prof. Bhaskar Krishnamachari. Her research focuses on AI systems operating under uncertainty , integrating reinforcement learning , decision theory , and control-theoretic perspectives to design reliable AI for high-stakes environments . Research Interests She specializes in: Evaluating AI decision-making under stochastic environmental and model variability Developing domain-specific frameworks for AI deployment in physical/social contexts Designing interpretable and safe AI through coordination structures and information pattern analysis Her work spans epidemic response systems (SafeCampus-RL, Classroom-MDP), multi-agent fairness frameworks (Fair-MARL), and agricultural optimization tools for Kenyan farmers. Teaching Roles (Fall 2025) CSCI 475: Software Engineering I CSCI/DIFD 141: Introduction to Web Application Design CSCI 245: Front End Web Development Her email is eondula@usc.edu .

• Language Education
• Second Language Acquisition
• Cultural Identity
• +۴ مورد دیگر

Yona Gilead is a Senior Lecturer and Program Coordinator in the Department of Modern Hebrew at the University of Sydney. She holds a PhD from UTS, MA and Dip Ed from the University of Sydney, and a BA from the Hebrew University of Jerusalem. Her work focuses on language education, particularly Hebrew as an additional language, and identity development in Jewish-Australian contexts. **Education**: PhD (UTS), MA (Sydney), Dip Ed (Sydney), BA (Jerusalem). **Research Interests**: Sociocultural-ecological frameworks in second language acquisition (L2) Identity formation in Jewish day schools Classroom discourse analysis and teaching methodologies Integration of technology in language education **Current Projects**: Exploring students' identity as Jewish, Australian, and global citizens in school environments. **Teaching**: Teaches all levels of Modern Hebrew, focusing on beginner and advanced proficiency. Supervises Honours students in areas like L2 pedagogy and Hebrew literature. **Affiliations**: Member of National Association of Professors of Hebrew (NAPH) and Languages and Cultures Network for Australian Universities (LCNAU). **Labs/Teams**: Active in Hebrew language education programs at the University of Sydney, coordinating the Modern Hebrew academic program.

Jinglan Zhangمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Big Data Analysis
• Computer Human Interaction
• +۷ مورد دیگر

Dr. Jinglan Zhang is a Senior Lecturer at Queensland University of Technology (QUT), specializing in Artificial Intelligence and Information Systems. She holds a PhD from QUT and has over 15 years of research experience, focusing on multimedia processing, big data analysis, and human-computer interaction. Her work spans environmental monitoring, health informatics, and web applications. Dr. Zhang has published over 100 refereed papers and secured over $1M in research funding. She actively supervises PhD and Masters students and mentors colleagues through QUT's mentoring program. Education: Bachelor of Engineering (1987) and Master of Engineering (1990), Beijing University of Aeronautics and Astronautics (now Beihang University), China. Master of Computing (1998–1999), Macquarie University, Australia. PhD (2003), Queensland University of Technology. Research Interests: Artificial Intelligence: Visual/Acoustic Information Processing, Machine Learning. Big Data Analysis and Visualization. Computer-Human Interaction, including accessibility for people with disabilities. Software Engineering, Mobile/Web Applications. Environmental Monitoring using Acoustic Sensors. Academic Contributions: Dr. Zhang has led projects in bioacoustics, healthcare AI, and accessibility tools. She organizes international conferences (e.g., IEEE e-Science 2010) and collaborates with institutions in China and Australia. Her recent work explores transfer learning, data scarcity solutions, and AI ethics. Grants & Advising: Over $1M in research grants, including projects on assistive technologies for people with intellectual disabilities. Supervised 10 PhD and 2 Masters students to completion. Current mentor for 3 PhD students and collaborator on interdisciplinary teams. Labs & Teams: Core member of QUT's Centre for Data Science, leading the Environment and Natural Systems research theme. Active in collaborative initiatives with Chinese universities and research institutions.

Joshua Matthewsمشاهده پروفایل

مدرس ارشد

• Second Language Acquisition
• Language Testing
• Vocabulary Studies
• +۹ مورد دیگر

Dr Joshua Matthews is a Senior Lecturer and Head of Department (Curriculum) in the School of Education at the University of New England (UNE), Australia. He is actively involved in teaching, research, and academic leadership within the Faculty of Humanities, Arts, Social Sciences and Education. Research Interests: Dr Matthews specializes in second language acquisition, with a focus on vocabulary knowledge, listening comprehension, language testing, and the integration of technology in language learning. His work investigates aural vocabulary, decoding errors, derivational morphology, and mobile-assisted language learning (MALL). He also explores teacher identity in EAL/D education and the impact of AI tools like ChatGPT on academic writing. Recent Research Trends: His most recent publications (2023–2025) reveal a consistent focus on measuring and enhancing aural vocabulary, understanding how learners process derivational forms, and evaluating the role of mobile applications and AI in language education. His research combines empirical studies, cross-linguistic comparisons, and theoretical insights, often involving international collaborations. Scientific Awards: No awards explicitly mentioned in the text. Supervision and Grants: Dr Matthews welcomes research students in TESOL, second language learning, and related areas. He has led and co-led multiple funded research projects, including an ongoing 2022 study on vocabulary lists and PTE writing (AU$23,011), and past projects on mobile learning, automated text analysis, and phonological knowledge in L2 listening, funded by the University of Newcastle, British Council, and AALL. Labs and Teams: While no formal lab is named, Dr Matthews collaborates extensively with researchers such as Dr Junyu Cheng, Dr Kiyomi Lange, Dr Scott McLean, and Dr Ingrid Wijeyewardene. He is part of an international research network focused on language assessment, vocabulary, and technology-enhanced learning.

Hao Tranمشاهده پروفایل

دانشگاهی

• Applied Linguistics
• Second Language Acquisition
• Teacher Education
• +۸ مورد دیگر

Dr. Hao Tran is a Teaching Associate in Applied Linguistics at the School of Languages and Cultures , University of Queensland (UQ) , Australia. He joined UQ in 2019 and coordinates courses including Academic English, Thesis Writing for International Students (WRIT6001), Introduction to Second Language Learning and Teaching (SLAT7001), and Second Language Learning (SLAT2001). His teaching extends to subjects like Teaching Languages in a Global Context (SLAT7826) and Classroom Second Language Processes (SLAT7807). Academic Background: PhD in Applied Linguistics (Griffith University, 2019) Master of Applied Linguistics (TESOL) (Advanced) (University of Queensland, 2013) Bachelor's in English Language Education (Vinh University, Vietnam) Research Interests span teacher education, focusing on teacher agency, identity, and professional development; student and teacher engagement; EAP pedagogy with CALL and GenAI integration; language policy; and Vietnamese heritage language studies. His work addresses sociocultural influences on educational change and AI's role in language learning. Recent Publications (2023-2025) explore generative AI in interviews and language learning, teacher transitions in Vietnam, and heritage language practices in Australia. He serves as Review Editor for the Australian Review of Applied Linguistics (ARAL) and has received multiple awards, including the HASS Tutor Award for Excellence in Teaching (2024) and HEA Fellowship (2021) . Supervision: Available for MA thesis supervision. Grants: School of Languages and Cultures Grant for EAP materials development. Leadership: Former roles include International Student Officer at Griffith University and Convenor for Joint Programs at Vinh University.

• Applied Linguistics
• English as a Second Language (ESL) learning and teaching
• Teacher Education and Professional Development
• +۶ مورد دیگر

Dr. Heejin Chang is a Senior Lecturer at the University of Southern Queensland's College of English Language, specializing in applied linguistics, English as a Second Language (ESL) pedagogy, and intercultural communication. With a PhD from Newcastle University and prior roles at the same institution since 2012, her work bridges technology-enhanced language learning, academic integrity frameworks, and innovative assessment design for diverse student populations including incarcerated learners. Her research interests span: Computer-Assisted Language Learning (CALL) Intercultural Communicative Competence Academic Integrity in Tertiary Education STEM Assessment Accessibility Language Motivation and Attribution Processes Recent publications analyze technology-free physics assessments for incarcerated students, intercultural communication through open textbooks, and L2 speaking scaffolding strategies. She has received multiple USQ publication excellence awards and serves on the editorial board of Language and Motivation. Scientific honors include: 2024 Editorial Board Appointment, Language and Motivation 2020 USQ College Excellence in Teaching 2017 & 2016 USQ Publication Excellence Awards

Amin Zainiمشاهده پروفایل

مدرس

• Education
• Social Justice
• Power Relations
• +۳ مورد دیگر

Amin Zaini is a Lecturer at Deakin University , School of Education , where he also obtained his PhD. His work focuses on Education , Social Justice , and the Analysis of Power Relations in societal contexts. Expertise in Remote Learning during pandemics Research on EAL (English as an Additional Language) learners Areas include critical literacy, cultural challenges, and educational equity His publications highlight trends in migrant/refugee family education , critical reading practices , and technology's role in language learning . Collaborative work with researchers like Dr. Tebeje Molla and Dr. Ruth Arber addresses systemic educational barriers. Awarded an internal grant at Deakin University for studies on migrant/refugee families, his research emphasizes improving equitable access to online education and addressing language/technological disparities during emergencies.

Paul Mooreمشاهده پروفایل

مدرس ارشد

• Language and Technology
• Sociocultural Theory
• Task-Based Language Teaching
• +۴ مورد دیگر

Dr. Paul Moore is a Senior Lecturer at The University of Queensland's School of Languages and Cultures, specializing in Language and Technology and Sociocultural Theory. His research examines how learners, tasks, and sociocultural contexts influence task-based language interaction, performance, and development. Bachelor of Arts, University of Wollongong Masters in Education, University of Wollongong Doctor of Philosophy, Macquarie University His work spans Computer-Assisted Language Learning (CALL) teacher training, sociocognitive interpretations of language testing, and language policy in higher education. Recent projects explore the intersection of language and intercultural communication, particularly in Japanese EFL and Vietnamese contexts. Key research outputs include studies on technology-infused lesson plans in Vietnam, EFL teaching in Chile, and intercultural group assessment. He has secured grants from the British Council and UQ Teaching Innovation Grants (2016-2018). Australian Learning and Teaching Council citation (2008) Supervised 8 PhD students to completion Active in international conferences (AILA, ALAA, TBLT in Asia)

• Applied Linguistics
• English as a Second Language (ESL) Teaching
• Teacher Education
• +۵ مورد دیگر

Dr. Heejin Chang is a Senior Lecturer (Pathways) at the University of Southern Queensland (UniSQ), affiliated with the UniSQ College's English Language department. She holds a BSc from Sookmyung Women's University (1988), an MA in TESOL from Sookmyung Women's University (2004), and a PhD from Newcastle University (2012). Her expertise spans applied linguistics, ESL/TESOL pedagogy, teacher education, intercultural communication, and pathways programs . Chang has held progressive roles at UniSQ since 2012: Associate Lecturer (2012–2015), Lecturer (2016–2024), and currently Senior Lecturer. She is actively involved in professional organizations such as the European Association for Computer Assisted Language Learning (EuroCALL) and the National Association of Enabling Educators of Australia (NAEEA). Her research emphasizes innovative language education strategies, particularly for multicultural and non-traditional student populations, and the integration of technology in learning environments. Chang has received notable awards, including the USQ College Learning and Teaching Award for Excellence in Teaching (2020) and two USQ Publication Excellence Awards (2017 and 2016) . She has contributed to grants focused on equitable assessments for incarcerated students, academic integrity frameworks, and intercultural competence development. Her work also explores the challenges faced by non-English speaking nursing students and CALD (Culturally and Linguistically Diverse) students in pathway programs. Her recent publications reflect a focus on intercultural communication, L2 speaking fluency, assessment design, and technology-free STEM education for incarcerated learners . She collaborates widely on projects addressing academic integrity, pedagogical innovation, and inclusive educational practices.

• Corpus linguistics
• Discourse Analysis
• CALL
• +۳ مورد دیگر

Maryam Barghamadi serves as a Casual Academic Researcher at the College of Nursing and Health Sciences, Caring Futures Institute, while concurrently pursuing student status within the same college. Her academic role focuses on interdisciplinary research bridging health sciences and language education. Her research expertise spans Corpus linguistics, Discourse Analysis, and Computer-Assisted Language Learning (CALL), with significant contributions to UN Sustainable Development Goals related to quality education. She specializes in multi-word units, semantic transparency, and L1-L2 congruency in second language acquisition contexts. Analysis of her 2020-2024 publications reveals consistent focus on multi-word unit acquisition, examining technological interventions like flashcard applications and data-driven learning approaches. Her work demonstrates strong connections between linguistic theory and practical language teaching methodologies, particularly in English proficiency development.