جست‌وجوی استاد و پژوهشگر

Mitchell McEwanمشاهده پروفایل

مدرس ارشد

• Games User Research
• Game Design and Production
• Virtual Reality and Natural User Interfaces
• +۵ مورد دیگر

Dr. Mitchell McEwan is a Senior Lecturer in the School of Computing at Macquarie University, serving as Course Director for the Bachelor of Game Design and Development and Deputy Director of the Games User Research Lab. He co-founded TBD Game Company, which developed the iOS game Endless Runner X. His research focuses on Games User Research, Game Design, Virtual Reality, and Ethical Gameplay, emphasizing accessibility and interactivity. Education: Bachelor of Fine Arts in Acting, Rutgers University Master of IT in Game Design, Queensland University of Technology (QUT) PhD in The Influence of Naturally Mapped Control Interfaces for Video Games on the Player Experience, QUT Research Interests: Games Ethics, Accessibility, and User Experience Virtual Reality and Natural User Interfaces Systemic Play and Moral Decision-Making Cybersecurity Ethics Training Professional Exploitation in Gaming Current Projects: Welcoming Trans and Gender Diverse Players (2022–2028) Cybersecurity Ethics Training Simulations (2019–2023) Social Eye Gaze in Virtual Agents Videogames for Vision Science Lab and Team Involvement: Games User Research Lab Performance and Expertise Research Centre Former member of QUT’s Games Research and Interaction Design Lab

Yu Zhangمشاهده پروفایل

مدرس

• Mobile Computing
• Wireless Sensor Networks
• Embedded Systems
• +۵ مورد دیگر

Yu Zhang is a Lecturer in Computing (IoT/Networking) at the School of Computing, Macquarie University, Australia. He holds a PhD in Computer Science from RMIT University, an M.Eng in Distributed Computing from the University of Melbourne, and a B.Eng in Software Engineering from Southwest University for Nationalities. His research focuses on mobile computing, wireless sensor networks, embedded systems, on-device machine learning, and IoT, with emphasis on security, edge computing, and privacy preservation. He is affiliated with the Future Communications Research Centre and Smart Green Cities Research Centre. Dr. Zhang’s work integrates theoretical advancements with practical applications in IoT and edge computing. His research outputs span secure device communication, energy-efficient networking protocols, and anomaly detection frameworks. Collaborations include projects like the CSIRO Data61 PhD Scholarship. He actively contributes to IEEE and ACM, addressing challenges in privacy-aware systems and federated learning.

• Big Data Analytics
• Text Mining
• Machine Learning
• +۶ مورد دیگر

Dr. Wei Zhang is a Senior Lecturer and Associate Head of People and Culture at the University of Adelaide's School of Computer and Mathematical Sciences, with a secondary appointment as Honorary Lecturer at Macquarie University. She holds a PhD in Computer Science from the University of Adelaide (2017) and leads research in big data analytics, text mining, machine learning, and IoT. Her work has resulted in over 100 peer-reviewed publications, including top-tier journals like ACM Computing Surveys and IEEE Communications Surveys. Dr. Zhang currently holds an ARC Early Career Industry Fellowship (IE230100119) and leads an ARC Discovery Project (DP240103070), with total funding exceeding AUD $3M from ARC, Google, and DST over five years. Her research focuses on text summarization, AIoT systems, adversarial attacks on neural networks, and medical information extraction. Professional roles include Program Coordinator, Course Coordinator, and outreach contact at her school. She actively contributes to academic governance as Associate Head of People & Culture and serves on conference committees (ACL, KDD, WWW) and journal editorial boards. Industrial collaborations span six years with roles in project leadership and technical advisory roles across multiple sectors. Dr. Zhang is a member of ACM, IEEE, and ACS, and her work has been recognized by prestigious awards such as top 100 global researchers in Network Security (SciVal). Her lab develops AI-driven solutions for IoT-enabled agriculture (e.g., mushroom cultivation monitoring) and smart construction systems, with applications in energy optimization, healthcare, and environmental monitoring.

Guanfeng Liuمشاهده پروفایل

استاد

• Recommender Systems
• Privacy-Preserving Technologies
• Graph Neural Networks
• +۵ مورد دیگر

Guanfeng Liu is the Vice Dean at the NNU-MQ Joint Institute, Macquarie University, within the Faculty of Science and Engineering. His research focuses on Recommender Systems, Privacy-Preserving Technologies, Graph Neural Networks, and Data Analytics. He leads projects like the 'Intelligent Health Data Analytics Platform' and 'Data-intensive Scheduling Optimisation in Database Systems.' His work emphasizes ethical AI, with contributions to trust prediction, spatio-temporal data analysis, and privacy-aware algorithms. In 2023, he won the Faculty of Science and Engineering Award for Inter-School Collaboration. Liu has published extensively in top journals like IEEE Transactions and ACM Conferences, with over 200 publications and a h-index of 34. Key projects include scalable document intelligence platforms and confidentiality preservation in graph learning. His research bridges theoretical advancements with practical applications in smart cities and healthcare, leveraging collaborative filtering and contrastive learning techniques.

• Assessment in Higher Education
• Health Professional Education
• Feedback Mechanisms in Learning
• +۵ مورد دیگر

Margaret Bearman is a Research Professor at Deakin University, affiliated with the Centre for Research Assessment and Digital Learning under the Office of the Deputy Vice Chancellor Academic. She holds a PhD in medical education from Monash University and a Bachelor of Computing. Her research focuses on assessment and feedback in higher and professional education, digital learning innovations, and the integration of artificial intelligence in academia. She has secured grants totaling over $500,000 AUD for projects including AI ethics in healthcare education and feedback frameworks in clinical training. Her work explores topics like generative AI's impact on student feedback, equity in assessment practices, and the sociomaterial dimensions of healthcare education. Awards include the Higher Education Academy Senior Fellowship and the Medical Education Choice Critics Award. She supervises 13 doctoral candidates across topics such as AI literacy in education and inclusive assessment design. Completed PhDs: 7 Current Supervision: 6 active students Key Collaboration: Royal Australasian College of Surgeons, Novo Nordisk Foundation Her research teams include interdisciplinary collaborations with health professional bodies and edtech companies. She leads projects addressing global graduate preparedness through digital pedagogy and equity-focused curricula.

• Biometrics
• Computer Vision
• Medical Imaging
• +۳ مورد دیگر

Jian He is a Teaching Professor at the School of Mathematics , Monash University, Australia. His research focuses on advancing cross-spectral biometric systems, medical image processing, generative adversarial networks (GANs), and robust machine learning. He has contributed significantly to improving face recognition technologies under challenging conditions such as thermal-to-visible spectrum translation and adversarial attacks. His work includes developing frameworks for medical imaging segmentation, enhancing security in biometric systems, and exploring novel applications in audio-visual synchronization and video generation. Key research themes include: Cross-spectral face recognition and thermal imaging analysis Medical image segmentation and 3D reconstruction Generative models for text-to-image synthesis and video generation Adversarial attacks and defense mechanisms in AI systems His publications demonstrate expertise in integrating deep learning with biometric security, healthcare AI, and computer vision applications. Notable contributions include surveys on cross-spectral recognition and innovations in latent diffusion models for high-quality video synthesis. No scientific awards or grants are explicitly listed in the provided texts. He currently has no recorded advisees, though his research areas suggest potential collaborations in interdisciplinary teams focused on AI and medical imaging.

John Yuenمشاهده پروفایل

دانشیار

• Cryptography
• Cybersecurity
• Blockchain
• +۳ مورد دیگر

John Yuen is an Associate Professor and Director of Research in the Department of Software Systems & Cybersecurity at Monash University. His expertise spans cryptography, cybersecurity, blockchain, and FinTech, with notable contributions to privacy-preserving protocols and secure multiparty computation. He previously held academic roles at the University of Hong Kong and industry experience at Huawei's Cryptography Expert Group. Education: Ph.D. in Informatics, University of Wollongong (2010) M.Phil. in Information Engineering, Chinese University of Hong Kong (2006) B.Eng. in Information Engineering, Chinese University of Hong Kong (2004) Research Interests: Focuses on advancing cryptographic techniques for blockchain security, privacy-enhancing technologies, and post-quantum cryptography. Recent work includes efficient threshold ECDSA protocols, ring signatures, and privacy-preserving payment channels. Grants & Collaborations: Leads the Monash project 'More Efficient and Scalable Post-Quantum Multi-Signatures' (2024–2025). Collaborates internationally on cryptographic protocols and cybersecurity solutions. Labs/Teams: Oversees research in privacy-preserving cryptocurrencies (e.g., Monero variants) and secure blockchain infrastructure.

• Communications engineering
• Distributed computing and systems software
• Theory of computation

Mr. Fernando Moya Caceres is a Postdoctoral Research Assistant specializing in Satellite Communications at RMIT University's School of Engineering. His work focuses on Communications engineering , Distributed computing and systems software , and Theory of computation . He has contributed to advancements in interference mitigation for Low Earth Orbit (LEO) satellite systems, physical layer security in Non-Orthogonal Multiple Access (NOMA), and theoretical analysis of wireless communication protocols. His recent research includes studies on 6G network architectures and fairness frameworks in NOMA systems. His publications emphasize innovative solutions for modern communication challenges, including deep-learning-aided security mechanisms and hybrid interference cancellation techniques. Fernando holds an ORCID identifier (0000-0002-9862-6751) and can be contacted at fernando.moyacaceres@rmit.edu.au . Research interests span satellite communications, wireless security, and next-generation network protocols. No scientific awards or grants are explicitly mentioned, though his contributions reflect active engagement in cutting-edge research collaborations.

• Ecological Acoustic Monitoring
• Big Data Analysis
• Software Engineering
• +۴ مورد دیگر

Adjunct Professor Paul Roe is affiliated with the School of Computer Science in QUT's Faculty of Science. He holds a PhD from the University of Glasgow and an MEng from the University of York. His research focuses on interdisciplinary projects such as ecological acoustic monitoring, big data analysis, and Aboriginal communication systems. He leads the Microsoft-QUT eResearch Centre, a collaboration advancing tools for environmental research. Professor Roe has published over 200 papers, secured $10M+ in research funding, and supervised 21 PhD students. His work includes creating the world's first acoustic observatory (www.acousticobservatory.org) to monitor biodiversity via soundscapes. Education: MEng (Hons) in Engineering, University of York (1987) PhD in Computer Science, University of Glasgow (1991) Research Interests: Ecological Acoustic Monitoring Big Data & Machine Learning Indigenous Community Technologies Grants: Over $10M in competitive funding, with 50% in Category One research. Collaborations include Microsoft, Telstra, and Aboriginal organizations like the Anindilyakwa Land Council. Labs: Microsoft-QUT eResearch Centre, Australian Acoustic Observatory.

Kevin Desouzaمشاهده پروفایل

استاد

• Digital Transformation
• Strategic Management
• Public Sector Innovation
• +۴ مورد دیگر

Kevin Desouza is Professor of Business, Technology and Strategy at Queensland University of Technology's School of Management. He researches digital transformation, public sector innovation, and strategic management of technology, with work featured in Harvard Business Review and Forbes. Research expertise spans: Urban innovation ecosystems AI governance frameworks Organizational resilience Public-private digital partnerships Recent publications emphasize AI-enabled public services (40%), organizational adaptation during crises (30%), and urban governance innovation (25%). His work consistently bridges theoretical frameworks with practical applications in government and industry. Leadership includes roles as Nonresident Senior Fellow at Brookings Institution and Distinguished Research Fellow at Shanghai Jiao Tong University's China Institute for Urban Governance. Secured $1.8M in research funding from government and private organizations.

• Cybersecurity
• Privacy
• Child Exploitation Prevention
• +۸ مورد دیگر

Dr. Joel Scanlan is a Senior Lecturer in Health Information Management at the Tasmanian School of Business and Economics (TSBE) , University of Tasmania, Hobart. He also holds an adjunct Associate Professor position in maritime cybersecurity at Western Norway University of Applied Sciences (HVL). With a PhD in Network Security and Data Mining from the University of Tasmania, Dr. Scanlan has over two decades of experience in teaching and industry consulting in cybersecurity and privacy. His research is centered on the technical and social harms of the internet, with a strong emphasis on child exploitation prevention, cybersecurity, data privacy, and machine learning . He works in multidisciplinary teams involving psychology, law, and maritime security, contributing to high-impact projects on online safety, CSAM deterrence, and digital interventions. His work has informed policy discussions, including submissions on social media regulation and participation in coalitions like SaferAI for Children. Dr. Scanlan's recent publications highlight trends in AI-driven safety tools , such as chatbots for adolescent support, honeypot experiments for deterring online predators, and digital interventions to prevent child sexual abuse perpetration. His research bridges technical innovation with ethical and social considerations, particularly in balancing privacy and surveillance. Google Scholar : Access via Google Scholar ORCID : 0000-0003-2285-8932 LinkedIn : Professional Profile He has been involved in supervising research students and collaborative projects, particularly in the design and evaluation of online safety technologies. Dr. Scanlan is an active participant in national and international research networks, including the Child Sexual Abuse Reduction Research Network and Te Puna Haumaru Seminar Series in New Zealand. His public engagement includes speaking at conferences such as #AIC2025Conference, contributing to media discussions, and advocating for transparency and accountability in higher education and digital policy.

Narayanan Ramakrishnanمشاهده پروفایل

دانشیار

• Sensors
• Acoustic Wave Sensors
• MEMS
• +۹ مورد دیگر

Narayanan Ramakrishnan is an Associate Professor in the Electrical and Robotics Engineering Department at Monash University Malaysia. He leads the Micro and Nano Devices Research Lab, focusing on acoustic wave sensors, 2D materials, and wearable technology. He has secured over 15 grants, filed six patents (some commercialized), and graduated 10 PhD students while supervising five more. His teaching contributions include innovating remote labs and activity-based learning, earning him awards like the 2021 Monash Australia Dean Award for remote lab innovation. He chairs innovation and industry engagement in the School of Engineering, fostering translation research and entrepreneurship. Research Interests: Acoustic wave sensors and 2D materials for gas/VOC detection Microfabrication tools and handheld sensor systems UV LED lithography and wearable technology MEMS and industrial IoT applications Key Achievements: ITEX Gold Award (2019) for UV-dependent piezocapacitor invention 16+ awards including research, teaching, and enterprise recognition Over 60 publications and 13 active research projects (e.g., EFI sensors, 2D material sensors for wastewater monitoring) Teaching & Labs: Developed remote engineering labs and AI-enhanced courses Micro and Nano Devices Lab focuses on prototyping and industry collaboration Course leader for ECE3073 (Computer Systems), ECE4094/4095 (Projects), and ECE4808 (Organic Electronics)

Fanzhen Liuمشاهده پروفایل

پژوهشگر ارشد

• Graph Mining
• Anomaly Detection
• Trustworthy AI
• +۳ مورد دیگر

Dr Fanzhen Liu is a Postdoctoral Research Fellow at Macquarie University's School of Computing and a Visiting Scientist at CSIRO’s Data61 since March 2024, specializing in graph-based artificial intelligence research. He earned his PhD from Macquarie University in 2024, following Master of Research studies where he received the Executive Dean's Commendation for Academic Excellence. His research pioneers graph mining , anomaly detection , and trustworthy AI using deep learning methodologies. Key contributions include novel frameworks for graph anomaly detection with limited labels and comprehensive surveys on deep learning for community detection, addressing critical challenges in network security and social media analysis. His work bridges theoretical advancements with practical applications like e-commerce fraud detection. Analysis of his publication trajectory reveals consistent focus on graph neural networks and unsupervised learning , with increasing emphasis on real-world deployment challenges in trustworthy AI systems. Recent outputs demonstrate methodological innovations in data augmentation and residual analysis for graph-structured data. His distinguished recognition includes: Most Influential IJCAI2020 Paper Award HDR Research Rising Star (2022) Vice-Chancellor’s Commendation for Academic Excellence (2024) As a Postdoctoral Research Fellow, Dr Liu actively collaborates with CSIRO’s Data61 and contributes to Macquarie University's research ecosystem through high-impact publications and methodological innovations, though specific grant details and student supervision are not documented in the provided materials. He operates within Macquarie's School of Computing research community and maintains strategic partnerships with national research agencies through his CSIRO affiliation.

Mark Gregoryمشاهده پروفایل

دانشیار

• Network Engineering
• Telecommunications
• Software Development
• +۳ مورد دیگر

Associate Professor Mark Gregory is affiliated with the School of Engineering at RMIT University. His academic role involves research in network engineering, telecommunications, software development, project management, cybersecurity, and distributed computing. He has held multiple leadership roles in his field and is actively involved in supervising PhD and MEng students. Reflecting his dedication to teaching, he received the 2015 Outstanding Good Teaching Scale award for EEET1152 Network Services and Internet Applications. His research focuses on next-generation mobile cellular networks, 6G technologies, edge computing security, and network optimization. Gregory has been recognized with numerous accolades, including multiple RMIT Media Star of the Year awards and the Australian Defence Medal. He has led significant research projects funded by organizations like NEC, the Australian Research Council, and auDA, contributing to advancements in software-defined networking (SDN), multi-access edge computing (MEC), and telecommunications infrastructure. His work emphasizes practical applications of technology to enhance security, efficiency, and accessibility in urban and rural networks.

• Transportation, logistics and supply chains
• Aerospace engineering
• Control engineering, mechatronics and robotics
• +۷ مورد دیگر

Shah Khalid Khan is a Research Fellow (Postdoctoral) specializing in Cyber Security and Technology at RMIT University's Department of Research & Innovation, based at the City Campus in Australia. His work focuses on interdisciplinary areas spanning engineering and computer science, with a strong emphasis on cybersecurity, artificial intelligence, and data-driven solutions. His research interests include Transportation logistics, aerospace engineering, control systems, electronics, and human-centered computing . He contributes to advancing technologies that integrate cybersecurity frameworks with emerging fields like AI and data management. Dr. Khan holds no explicitly listed academic awards or grants in the provided text, though his role as a Research Fellow indicates active involvement in cutting-edge projects. No specific advisees or students are documented here.