جست‌وجوی استاد و پژوهشگر

• Literacy Education
• Disciplinary Literacy Practices
• Systemic Functional Linguistics
• +۵ مورد دیگر

Erika Matruglio is an Associate Professor in the School of Education at the University of Wollongong, affiliated with the Faculty of Social Sciences. She specializes in literacy education, disciplinary literacy practices, and the application of Systemic Functional Linguistics and Legitimation Code Theory in educational contexts. Her research focuses on equitable educational outcomes, particularly in writing pedagogy across disciplines. Matruglio holds a Ph.D. in Education from the University of Technology Sydney (2014), alongside earlier degrees in Applied Linguistics, Teaching, and Languages. Her academic journey includes roles as Senior Lecturer (2014–2023) and current Associate Professor (2024–present). Her work addresses literacy demands in school subjects, disciplinary discourse analysis, and supporting diverse student populations. Key publications explore writing in STEM, history, and language education. She has secured grants, including the NSW Department of Education's funding for improving secondary writing outcomes (2020–2023). Awards: Highly Commended in ALEA Doctoral Thesis Award (2016), OCTAL Teaching Award (University of Wollongong). Service: Member of the LCT Centre for Knowledge-Building, reviewer for TESOL Quarterly , and conference presenter on literacy and pedagogy. Matruglio supervises doctoral research in areas like academic writing development and multimodal composition. Her teaching includes courses on pedagogical grammar and discourse analysis, emphasizing practical applications of linguistic theory.

Michael Bruenigمشاهده پروفایل

استاد

• Robotics
• Cybersecurity
• Data Innovation
• +۶ مورد دیگر

Professor Michael Bruenig is the Head of School for the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ), a position he has held since 2016, with an interim role as Head of UQ’s Business School from 2019–2021. He previously led the CSIRO’s $140m National Research Flagship on Digital Productivity and co-founded Data61. With a PhD from RWTH Aachen University, his career spans automotive R&D in Germany, Silicon Valley, and Australia. He holds a Master’s and PhD in Science from RWTH Aachen University, Germany. His research focuses on strategic innovation, entrepreneurship, and translating research into industry impact through ventures like UQ Cyber, the National Industry 4.0 Energy Testlab, and the QLD Government AI Hub. He pioneered UQ’s Bachelor of Computer Science, Master of Cyber Security (based on US NICE Framework), and online Master of Business Analytics. His work spans robotics, sensor networks, and terahertz technology, with recent articles addressing lidar-based navigation, terahertz imaging, and cybersecurity. He advises startups and sits on boards, driving commercialization and spin-offs. Key initiatives include UQ Innovate and UQ Ventures, fostering student and faculty entrepreneurship. Labs and teams include collaborations on AI, Industry 4.0, and energy systems. His leadership emphasizes cross-disciplinary projects and curriculum innovation in tech and data fields.

Markus Wagnerمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Search-Based Software Engineering
• Renewable Energy Production
• +۳ مورد دیگر

Markus Wagner is an Associate Professor at the Department of Data Science and AI, Monash University. He also serves as an Adjunct Associate Professor at the University of Adelaide and a Visiting Professor at Harbin Institute of Technology. His research spans heuristic optimization algorithms, search-based software engineering, and renewable energy systems. He has been a key figure in sustainability initiatives, including founding the IEEE CIS Task Force on Computational Intelligence in Energy and serving as the first Sustainability Officer at ACM SIGEVO. Education: PhD in Computer Science (University of Adelaide, 2013), Diplom in Computer Science (University of Koblenz-Landau, 2009). Notable awards include the 2024 German IT Security Award and the HUMIES Gold Award. He has attracted over AUD 12M in research funding and led projects like Grid Guru and Australian Research for Global Power System Transformation. Research Interests: Optimizing wave energy converters, algorithm design, and AI-driven sustainability solutions. He has pioneered methods in genetic improvement of software and contributed to smart energy systems through roles at the Monash Energy Institute. Awards: Multiple best paper awards, DECRA Fellowship (2016–2018), and recognition for contributions to evolutionary computation. His work bridges theoretical research with industry applications, funded by Google, Facebook, and defense/mining sectors.

Aous Thabit Namanمشاهده پروفایل

پژوهشگر

• Image Processing
• Video Signal Processing
• Image Communication
• +۵ مورد دیگر

Aous Thabit Naman is a Senior Research Associate in Signal Processing at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney. He holds a B.Sc. in Electronics and Telecommunication Engineering (1994, Al-Nahrain University), an M.Eng.Sc. (2000, University of Malaya), and a Ph.D. in Electrical Engineering (2011, UNSW). His work focuses on scalable video compression, interactive media delivery, and JPEG2000 standards, including developing the High-Throughput JPEG2000 (HTJ2K) standard (ISO/IEC 15444-15/ITU-T T.814). He authored the open-source OpenJPH implementation of HTJ2K. Education: B.Sc., Al-Nahrain University (1994) M.Eng.Sc., University of Malaya (2000) Ph.D., UNSW (2011) Research Interests: Interactive scalable video compression, wavelet-based coding, motion estimation, and standards development. Key Achievements: HTJ2K standardization, OpenJPH implementation, and contributions to multiview and lightfield compression techniques. His recent work includes machine-learning enhanced transforms for image compression and GPU-based HTJ2K encoding/decoding optimizations. He has authored over 50 papers, 2 patents, and served as a reviewer for IEEE Transactions and conferences like ICIP.

Manoranjan Paulمشاهده پروفایل

استاد

• Artificial Intelligence
• Video/Image Processing
• Machine Vision
• +۸ مورد دیگر

Manoranjan Paul is a Full Professor in Computer Science at the School of Computing, Mathematics, and Engineering, Charles Sturt University (CSU), Australia. He is Director of the Computer Vision Lab and Head of the Machine Vision & Digital Health (MAVIDH) Research Group. Paul holds a PhD from Monash University (2005) and has held academic and research roles at institutions including UNSW, Nanyang Technological University (Singapore), and Ahsanullah University of Science and Technology. His research spans Artificial Intelligence , Video/Image Processing , Quantum Computing , Digital Health , and Medical Imaging . Notable contributions include $10M+ in grants (e.g., ARC Discovery Projects, Japanese grants), 250+ refereed publications, and commercialized apps like VineSignal for vine disease detection and Hunter Gatherer Networks for Indigenous marketplaces. Awards include the Golden Disruptor Award and ICT Researcher of the Year 2017 (ACS), and recognition as a World's Top 2% Scientist (Elsevier/Stanford, 2021). Key research initiatives: EEG-based epilepsy prediction ( 90% accuracy ) Quantum image compression ( novel circuits ) Hyperspectral soil analysis ( regression models ) Non-contact cardiopulmonary detection ( smartphone-based ) Supervised 19 PhD students and led international conferences (e.g., PSIVT-19, DICTA-2023). Editor for IEEE Transactions on Image Processing and Multimedia, and Steering Committee Chair for PSIVT.

• Wireless Communications
• Mobile Networking
• Internet of Things (IoT)
• +۸ مورد دیگر

Professor Abbas Jamalipour is a distinguished academic at the University of Sydney, holding the position of Professor of Ubiquitous Mobile Networking within the School of Electrical and Computer Engineering. He earned his PhD in Electrical Engineering from Nagoya University, Japan, and is a Fellow of IEEE, IEICE, and Engineers Australia. His research focuses on wireless and mobile networking, with contributions to 5G/6G, IoT security, resilient communications, and vehicular networks. Jamalipour leads the Wireless Networking Group (WiNG) and serves as President of the IEEE Vehicular Technology Society. Research interests span resilient communication systems for disaster scenarios, IoT healthcare applications, and edge computing. He has authored eight books, over 550 technical papers, and holds five patents. Notable awards include the 2010 IEEE ComSoc Harold Sobol Award and the 2010 Royal Academy of Engineering UK Distinguished Fellowship. Jamalipour has served as Editor-in-Chief of IEEE Wireless Communications and holds leadership roles in major IEEE committees and conferences. Current projects include 4G+/5G networks, wireless-powered IoT, UAV-enabled heterogeneous networks, and vehicular network security. His research students are engaged in topics like IoT security, fog computing, and autonomous driving applications. Jamalipour’s work bridges theoretical advancements with practical implementations, emphasizing technology’s role in enhancing societal resilience and quality of life.

Friso De Boerمشاهده پروفایل

استاد

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Professor Friso De Boer is a faculty member in the College of Engineering and Information Technology at Charles Darwin University (CDU). His primary research focuses on detecting abnormalities in biosignals using advanced signal processing techniques and artificial intelligence, including machine learning and neural networks. Key applications include EEG-based binaural hearing research, APG/ECG analysis for heat stress detection, and AI-driven diagnosis of diseases like breast cancer, cardiovascular disease, and kidney disease. He leads the Biomedical Engineering and Health Informatics Research Group at CDU, offering PhD opportunities in these areas. Prospective students are encouraged to contact him directly for further collaboration. His research interests span biomedical engineering, medical imaging, and health informatics. Notable projects involve developing novel AI models (e.g., ECgMLP, LungNet22) for disease diagnosis and improving diagnostic accuracy through hybrid approaches like graph theory and deep learning. He also explores ergonomic risk prediction via 3D pose analysis and gesture recognition systems for interactive displays. Publications highlight advancements in medical AI, including skin cancer detection, endometrial cancer diagnosis, and automated respiratory disease analysis using XAI principles. His work emphasizes real-world clinical applications, such as improving ICD coding accuracy and enhancing CT scan interpretation for pediatric bronchiectasis. Professor De Boer collaborates on interdisciplinary projects, blending engineering principles with healthcare challenges. His contributions span from foundational signal processing research to applied AI solutions in clinical settings, reflecting a commitment to advancing biomedical technology and patient outcomes.

• Communications Engineering
• Optical Physics
• Electronics and Sensors
• +۵ مورد دیگر

Dr. Michael Austin is an Honorary Professor at RMIT University's School of Engineering, specializing in advanced optical and nanotechnological research. His work focuses on integrated optics, microwave photonic systems, and micro/nano-fabrication technologies. He holds a position at the City Campus, Australia, and is affiliated with departments emphasizing communications engineering, atomic/molecular physics, and materials science. Research interests include photonics, nanotechnology, and sensor development, with notable contributions to optical signal processing and material characterization. Recent projects explore 3D video quality assessment and novel prime codes for optical networks. He has supervised studies on wind noise reduction mechanisms in microphones and 3D video quality metrics. Publications highlight innovations in nonlinear optics, photonic correlators, and nanostructured materials for sensing applications. His work bridges theoretical and applied engineering, addressing challenges in telecommunications, sensor technology, and optical systems design.

Stephanie Harkinمشاهده پروفایل

مدرس

• Feminine Gaming Cultures
• Digital Histories
• Gender Studies
• +۵ مورد دیگر

Dr. Stephanie Harkin is a Lecturer in RMIT's Games Program, specializing in feminine gaming cultures and digital histories. She holds a PhD from Swinburne University of Technology and is a board member of DiGRA Australia. Her research explores techno-femininity, marginalized gaming histories, and digital preservation through collaborations with institutions like the National Film and Sound Archive. Harkin's work bridges critical theory with practice, notably curating the Feminine Play exhibition and publishing award-winning scholarship on girlhood in games. Education: PhD in Media & Communication (Swinburne University of Technology) Teaching: Coordinates RMIT's Bachelor of Design (Games) program, teaching units like 'Principles of Play' and 'Game Studies.' Her research philosophy emphasizes recovering underrepresented narratives through archival work and participatory methods. Industry engagements include consultancy roles at Creative Victoria and contributions to media outlets like ScreenHub and Metro Magazine. Harkin advocates for inclusive gaming histories, challenging traditional narratives that exclude feminine and queer perspectives.

Joshua Scarsbrookمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Virtualization
• Computer Vision
• +۳ مورد دیگر

Joshua Scarsbrook is a Research Officer at the University of Queensland's School of Electrical Engineering and Computer Science, part of the Faculty of Engineering, Architecture and Information Technology. He holds a Bachelor (Honours) in Computing Science from the University of Waikato. His research focuses on cybersecurity education, virtualization, computer vision applications in agriculture, software orchestration, and program analysis. Notable projects include TinyRange (a VM orchestration tool) and MetropolJS (JavaScript visualization). His recent work spans AI-driven agricultural auditing (using video technology), cybersecurity in smart grids, and TypeScript evolution analysis. He has published in venues like IEEE/ACM Mining Software Repositories and the Journal of Cybersecurity. Available for supervision, his expertise includes systems architecture, cybersecurity, and open-source software development. His personal projects explore cursed bash scripting, embedded emulators, and Starlark-based configuration systems.

• Data Analysis
• Recommendation System
• Responsible AI
• +۶ مورد دیگر

Dr. Angela Huo is an Associate Professor at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). She holds multiple leadership roles including Deputy Director of Transnational Education for the Faculty of Engineering and IT, Responsible Academic Officer for Teaching and Learning of the School of Computer Science, Course Director for the Bachelor of Computing Science (Honours) program, and site coordinator for the South Pacific Programming Contests region of the International Collegiate Programming Contest (ICPC). Dr. Huo's research spans several key areas in computer science, with a primary focus on Data Analysis, Recommendation Systems, and Responsible AI. She specializes in utilizing AI and data analysis techniques to improve the efficiency and security of modern software systems. Her recent research interests include recommendation systems, anomaly detection, and privacy-preserving through data mining and deep learning. She has made significant contributions across multiple domains including multimodal learning, federated learning, causal inference, and human behavior recognition. Dr. Huo's publication record demonstrates a strong trajectory in cutting-edge AI research, with recent work focusing on conditional diffusion models for trajectory prediction, hybrid recommendation systems, causal learning to mitigate echo chambers, and adaptive waste detection. Her research shows a consistent pattern of addressing real-world challenges through innovative AI approaches, often combining multiple techniques to achieve superior results. Dr. Huo has secured research funding for projects including "Churn prediction scoping study" and "Army sovereign Software-Defined Battlefield Network." She has been actively involved in teaching and curriculum development, having created Industrial sub-majors for Google, AWS and iOS, Information Security sub-major, Data Analytics for Cybersecurity Microcredentials, and Cybersecurity and Privacy major since 2019. She has taught programming and cybersecurity management courses at the undergraduate level and served as HDR Coordinator of the School of Computer Science during 2021-2022.

• Cybersecurity
• Blockchain
• Artificial Intelligence
• +۳ مورد دیگر

Yang Xiang is a Full Professor and Dean of the Digital Research & Innovation Capability Platform at Swinburne University of Technology. He holds a PhD in Computer Science from Deakin University and has over 20 years of experience in cybersecurity research, focusing on network security, blockchain, and AI. As an IEEE Fellow, he serves as Editor-in-Chief for SpringerBriefs on Cyber Security Systems and Networks and Associate Editor for multiple IEEE journals including Transactions on Dependable and Secure Computing. His research integrates AI with cybersecurity to address vulnerabilities in distributed systems and IoT. Key areas include federated learning privacy, blockchain bridge security, and intrusion detection using graph neural networks. He leads Swinburne's blockchain initiatives and has published over 300 papers. Professor Xiang has received the IEEE Fellowship for contributions to cybersecurity. He actively supervises doctoral students in areas like fuzzing tools, 6G security, and automated software testing. His grants include projects on AI-driven manufacturing cybersecurity and distributed energy optimization.

Asad Malikمشاهده پروفایل

مدرس

• Multimedia Forensics and Security
• Image Processing
• Deep Learning
• +۴ مورد دیگر

Asad Malik is a Lecturer at the School of Information Technology, Monash University, Malaysia, since December 2023. Previously, he served as an Assistant Professor in the Department of Computer Science at Aligarh Muslim University, India, for two years. He holds a Ph.D. in Information Security from Southwest Jiaotong University, China (2020), an MCA from Jamia Millia Islamia (2015), and a BSc (Hons.) in Computer Application from Aligarh Muslim University (2012). His research focuses on Multimedia Forensics and Security, Deep Learning for Cyber Security, and DeepFake detection. He is a technical member of the Asia-Pacific Signal and Information Processing Association (APSIPA) and actively reviews for top journals and conferences. His work aligns with UN Sustainable Development Goals, particularly in advancing Education and Innovation. Malik’s publications (34+ outputs) emphasize robust watermarking techniques, reversible data hiding in encrypted media, and AI-driven solutions for security and environmental challenges. Recent trends highlight innovations in deepfake detection, transformer-based audio classification, and AI applications in renewable energy modeling. He is currently accepting PhD students and collaborates on projects combining cybersecurity, digital forensics, and machine learning. No notable awards are listed, but his research contributions reflect significant academic engagement in information security domains.

Stuart Jamesمشاهده پروفایل

مدرس

• Music Composition
• Immersive Audio and Video
• Electroacoustic Performance Practice
• +۵ مورد دیگر

Dr. Stuart James is a Lecturer in the Composition and Music Technology program at the Western Australian Academy of Performing Arts , part of Edith Cowan University . His career spans composition, sound design, performance, and music technology development, with a focus on integrating acoustic and electronic media. Education: PhD (2015) in Spatial Audio and Synthesis Master of Arts in Creative Arts (2006) Bachelor of Music with First Class Honours (2001) Certificate in Jazz (1995) Research Interests encompass Music Composition with a blend of acoustic and electronic instruments, Immersive Audio-Visual Systems , Wave Terrain and Spectral Synthesis , and Digital Signal Processing for performance. His work explores Electroacoustic Performance Practice and Networked Music Environments . Publication Trends reflect a focus on experimental composition , interactive notation (notably iPad-based systems like the Decibel ScorePlayer), and spatial audio techniques . Collaborative projects with ensembles such as Decibel and artists like Erin Coates and Louise Devenish highlight his interdisciplinary approach. Scientific Awards include the ASME Young Composers' Competition State Finals Winner , the Dorothy Ransom Composition Prize , and nominations for Australian Music Centre Awards . Professional Contributions include founding membership in the Decibel Ensemble , managing a commercial recording studio for artists like ShockOne, and developing networked music notation software . He has supervised PhD projects on topics like meditative sonic praxis and timbre analysis .

• Data Analytics
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Dr. Subrata Chakraborty is a Senior Lecturer at the University of New England (Australia) and a Visiting Fellow at the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney (UTS). He holds a PhD in Decision Support Systems from Monash University and has previously worked at the University of Southern Queensland, Charles Sturt University, and Queensland University of Technology. His research focuses on Data Analytics, Machine Learning, Image Processing, Optimization, and Decision Support Systems, with applications in health, agriculture, business, and education. Dr. Chakraborty’s work spans diverse domains, including automated disease detection (e.g., schizophrenia, ADHD, Alzheimer’s), crop yield prediction using remote sensing, and lung nodule classification in medical imaging. He has secured grants from the NSW Defence Innovation Network for projects on AI-based risk management and deep learning model optimization. He actively supervises Masters and PhD students and contributes to academic leadership roles, including conference organizing and peer-reviewing for journals like IEEE Transactions on Multimedia . His teaching expertise includes Information Systems, Data Analytics, Complex Systems, and Project Management. He is a member of the Australian Computer Society and IEEE, reflecting his commitment to advancing computational and engineering practices in academia and industry.