جستجوی استاد راهنمای دانشگاهی

• Offshore Engineering
• Hydrodynamics
• Renewable Energy
• +۷ مورد دیگر

Wenhua Zhao is an Adjunct Associate Professor at the University of Western Australia (UWA), affiliated with the School of Earth and Oceans and the UWA Oceans Institute. He holds a PhD in Ocean Engineering from Shanghai Jiao Tong University. His research focuses on offshore hydrodynamics, AI-driven renewable energy technologies, and wave-structure interactions, with applications to offshore wind, floating solar, aquaculture, and green hydrogen systems. He leads projects funded by the Australian Research Council (ARC), including a Future Fellowship (2023) and DECRA Fellowship (2019). Education: PhD in Ocean Engineering (2014), Shanghai Jiao Tong University. Research interests include fluid-structure interactions, renewable energy infrastructure, and AI integration in ocean engineering. He serves as Deputy Editor of Ocean Engineering, Associate Editor of ASME Journal of OMAE, and editorial board member of Applied Ocean Research. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action. Grants include leadership roles in ARC hubs for offshore floating facilities and transformative energy infrastructure. Notable awards include the Mid-Career Research Award (2023) and selection as an Eight Innovation Partner for TetraSpar floating wind projects. Teaching: Coordinates courses on offshore energy design and advanced offshore systems at both undergraduate and postgraduate levels. Service: Graduate Research Coordinator, Board member of Postgraduate Studies Committee, and Research Committee member at UWA's Oceans Graduate School. Industry Relevance: Collaborates on projects like BW Ideol’s Floatgen and TetraSpar floating wind, advancing green hydrogen/ammonia technology. Labs/Teams: Active in the Shell EMI Chair in Offshore Foundations and the UWA Oceans Institute. His research bridges fundamental hydrodynamics with applied offshore engineering solutions.

James Zhengمشاهده پروفایل

دانشیار

• Cyber-Physical Systems Testing and Verification
• Safety Analysis
• Distributed Learning
• +۳ مورد دیگر

Dr. James Zheng is an Associate Professor and ARC Future Fellow at Macquarie University's School of Computing. He leads the Intelligent Systems Research Group (ITSEG.ORG) and oversees international engagement in the School. With a Ph.D. in Software Engineering from the University of Texas at Austin (2015), he previously served as Chief Solution Architect at Menulog Australia (2005–2012). His research focuses on Cyber-Physical Systems (CPS) testing, AI system safety, distributed learning, and IoT. He has secured over $2.4M in ARC and Data61 grants, including a 2024–2028 Future Fellowship for robust CPS autonomy. Education: Ph.D. in Software Engineering, University of Texas at Austin, 2015 Research Interests: Dr. Zheng's work addresses safety-critical CPS challenges, leveraging neurosymbolic AI and large language models. His projects include autonomous vehicle safety frameworks, drone landing systems, and fault-tolerant smart grids. He emphasizes interdisciplinary collaboration, integrating machine learning and formal verification techniques. Grants & Projects: ARC Future Fellowship (2024–2028): $960,412 for robust autonomy in CPS ARC Linkage Project (2022–2025): $459,593 for drone landing systems ARC Discovery Project (2021–2024): $448,958 for autonomous driving validation Awards: Deakin Industry Researcher Award (2016) MQ Early Career Researcher Award (Runner-up, 2020) Labs & Teams: Director of ITSEG.ORG, a hub for CPS and AI safety research. Active in international workshops on trustworthy autonomous systems.

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dong Yuan is an Associate Professor at the School of Electrical and Computer Engineering at The University of Sydney. He holds a B.Eng and M.Eng from Shandong University (SDU) and a PhD from University of Technology Sydney (SUT). His research spans multiple cutting-edge domains including cloud and edge computing, artificial intelligence, blockchain, and smart energy systems. Professor Yuan's research interests focus on the intersection of computing systems and intelligent applications. His work bridges theoretical foundations with practical implementations in distributed systems, with particular emphasis on optimizing resource allocation, enhancing security, and improving efficiency in next-generation computing environments. His research has significant applications in energy systems, cybersecurity, and AI deployment in constrained environments. His recent publications demonstrate a strong trend toward federated learning, privacy-preserving techniques, blockchain applications for security, and edge-based AI deployment. The research shows increasing integration of multiple domains, with papers combining AI techniques with energy systems, blockchain with privacy preservation, and edge computing with distributed learning frameworks. His work consistently addresses practical challenges in real-world deployment of intelligent systems. Professor Yuan actively supervises a substantial cohort of 18 research students working on diverse projects spanning AI security, blockchain applications, energy systems optimization, and advanced machine learning techniques. His students' research projects reflect his broad expertise and the interdisciplinary nature of modern computing research. His laboratory work appears to focus on distributed computing systems with applications in energy, security, and AI. The research environment supports both theoretical algorithm development and practical implementation testing across multiple domains including smart grids, cybersecurity frameworks, and edge computing infrastructure.

• Network Routing and Tomography
• Privacy-preserving Computing
• Knowledge Discovery
• +۳ مورد دیگر

Associate Professor Hui Tian serves as the Discipline Head of Computer Science in the School of Information and Communication Technology at Griffith University, Australia. She holds a PhD in Computer Science from Japan Advanced Institute of Science and Technology and maintains an active research profile with over 80 publications and leadership in multiple international research projects. Her work spans networking, security, and data analysis domains. PhD in Computer Science, Japan Advanced Institute of Science and Technology Professor Tian's research focuses on Network Routing and Tomography, Privacy-preserving Computing, and Knowledge Discovery. Her work addresses critical challenges in data privacy protection, cybersecurity, and wireless communications and networking. She actively explores applications in medical image analysis, IoT security, and distributed energy systems, with a strong emphasis on developing practical solutions for real-world security and privacy challenges. Her recent publications reveal a strong trend toward privacy-preserving technologies, particularly in healthcare applications and wireless networks. There's significant focus on UAV-enhanced mobile edge computing, structural analysis of complex networks, and addressing security challenges like DoS attacks in multi-agent systems. Her work demonstrates interdisciplinary approaches combining machine learning, network theory, and security principles to solve contemporary computing challenges. Best Paper Award (2021) Outstanding Teacher Award from Beijing Jiaotong University (2012) Outstanding Junior Researcher (2005) Professor Tian actively supervises multiple doctoral students across diverse research areas including network security, energy management systems, and point-of-interest recommendation systems. She has secured significant research funding from various sources including the Department of Education, APNIC Foundation, and industry partners like Redx Technology Australia. Her current projects focus on privacy-preserving authentication, adversarial machine learning in wireless networks, and AI-powered solutions for sustainable agriculture in Vietnam. As a senior member of IEEE and active participant in professional activities, Professor Tian serves as associate editor for several SCI-indexed journals and frequently contributes to international conference program committees. Her leadership extends to directing academic programs including the Bachelor of Advanced Computer Science (Honours) and the Graduate Certificate in Data Science at Griffith University.

• Parallel and Distributed Computing
• Networking
• Complex Systems
• +۵ مورد دیگر

Albert Zomaya is the Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at The University of Sydney. He holds a PhD and is a Fellow of multiple prestigious institutions including the Australian Academy of Science and the Royal Society of New South Wales. His research focuses on parallel and distributed computing, networking, and complex systems, with applications in cybersecurity, cloud computing, and IoT. He has authored over 700 publications, 30 books, and edited numerous journals. His awards include the ACM MSWIM Reginald A. Fessenden Award and the New South Wales Premier’s Prize for Engineering. Education: PhD, along with extensive academic and industry experience across multiple institutions including the University of Western Australia and the University of Sydney. Research interests span distributed computing, high-performance systems, energy-efficient scheduling, and bioinformatics applications. His work impacts national security, healthcare, and industrial productivity through advancements in computing technologies. Awards highlight his contributions to scalable computing, parallel processing, and sustainable computing. He serves on editorial boards of major journals like ACM Computing Surveys and IEEE Transactions on Computers. Advising and grants include mentoring numerous PhD students and leading projects like the ARC Professorial Fellowship on energy-aware scheduling. He directs research centers and collaborates with industry partners to translate theoretical advancements into practical solutions. Labs and teams: Leads the Centre for Distributed and High Performance Computing, and collaborates with institutions like the Net Zero Institute and the University of Sydney Nano Institute.

• Computer Science
• Information Technology
• Marine Conservation Technology
• +۳ مورد دیگر

Jason Holdsworth is a Lecturer at James Cook University (JCU), specializing in Digital Technology and Computer Science. He holds a PhD in Computer Science from JCU, with earlier degrees including a BSc (Hons) and a double major BSc in Computer Science from the same institution. His research focuses on applying computer technology to real-world challenges, such as marine conservation through mobile apps and image classification systems for WWF, and improving abalone farming via image segmentation techniques. He is also engaged in educational technology, particularly enhancing adult learner engagement through digital methods. Holdsworth has been recognized with awards including the Advance Queensland Community Digital Champion (2017) and CSIRO STEM Professional (2017). He actively contributes to JCU’s Indigenous Australian Datathon Steering Committee and has advised students on topics like autonomous CNN architecture selection. His work spans healthcare technology (e.g., VR in hemodialysis), embedded systems (C++20 coroutines on microcontrollers), and collaborative learning tools (e.g., academagogy frameworks). Over 41 publications highlight his interdisciplinary research, including studies on asynchronous IoT programming, mobile application performance models, and collaborative emergency management systems. His work often bridges theory and practice, emphasizing sustainable tech solutions for education, healthcare, and environmental conservation.

Zahir Tariمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Cloud Computing
• +۴ مورد دیگر

Prof. Zahir Tari is a leading international expert in Computer Science, currently serving as a Professor at the School of Computing Technologies at RMIT University. He holds a prominent role as Research Director of the Centre of Cyber Security Research and Innovation (CCSRI) and has been appointed to the ARC College of Experts (2022-2024). Research Interests : Prof. Tari specializes in designing innovative solutions for large-scale systems including Cloud, Edge, and IoT environments, with particular emphasis on cybersecurity, performance optimization, and reliability of critical systems like SCADA and Smart Grids. His work integrates mathematical models with computational approaches to address complex security and scalability challenges. Research Trends : Recent publications highlight his leadership in blockchain-based energy trading privacy, cross-domain access control systems, IoT security frameworks, and federated learning approaches for vulnerability detection. His work combines theoretical rigor with practical implementations in domains ranging from healthcare to military applications. Scientific Recognition : Member, ARC College of Experts (2022-2024) Supervision & Funding : Prof. Tari has successfully supervised 31 PhD students to completion and secured over AUD 21 million in research funding through prestigious grants including an ARC Research Hub, CRC-P, multiple ARC Discovery Projects, and industry partnerships with organizations like Siemens. His research has produced 279 publications with an h-index of 49 and over 10,800 citations.

• Service-Oriented Computing
• Edge Intelligence
• Blockchain
• +۶ مورد دیگر

Dr. Hai Dong is a Senior Lecturer at the School of Computing Technologies, RMIT University, Melbourne, Australia. He leads the Smart Sensing and Services Research Area and directs the GreenCryptoLab, a joint laboratory with CloudTech. He chairs the IEEE Task Force on Deep Edge Intelligence and has held roles including Research Fellow at Curtin University and RMIT. Education: PhD (Curtin University), BEng (Northeastern University, China), Graduate Certificate in Learning & Teaching (Distinction) His research focuses on Edge Intelligence, Blockchain, AI Security, and Cyber Security. He has published 150+ articles in top venues like TIFS, ICML, and ICSOC, securing over $5M in research funding from ARC, CRC, and industry partners. Recent work emphasizes Green Cryptocurrency systems and federated learning applications. His awards include the 2023 RMIT Industry Engagement Award and Best Paper recognitions in ICSOC and IEEE ICBC. Supervision: Active in guiding PhD/Master students in AI Security, Edge Computing, and Blockchain. Grants: Major projects include Green Bitcoin platforms and secure crypto payment systems. Labs: GreenCryptoLab collaborates on sustainable blockchain tech and secure edge systems.

Dan Jazbyمشاهده پروفایل

مدرس ارشد

• Mathematics Education
• Teacher Noticing and Decision Making
• Ecological Psychology
• +۴ مورد دیگر

Dr. Dan Jazby is a Senior Lecturer in the School of Education at RMIT University, specializing in Mathematics Education with a focus on teacher noticing and decision-making processes. His research integrates ecological psychology and Multimodal Learning Analytics to analyze how primary school teachers adapt lessons mid-instruction. He explores human-centered design methods for educational resource development and has industry experience as a teacher and curriculum developer in both Australia and Japan. Research interests include curriculum design, education systems, and specialist studies in education, with an emphasis on ecological psychology, teacher cognition, and classroom environment interactions. His work examines how educators perceive and respond to dynamic classroom cues to enhance in-the-moment decision-making skills. Recent articles highlight investigations into tactical noticing of student mathematical thinking, mid-lesson adaptations, and the role of video data in educational research. While no specific awards are listed, his contributions to understanding teacher improvisation and adaptive pedagogy demonstrate significant scholarly impact. Dr. Jazby is open to supervising Masters Research and PhD students, focusing on mathematics education and teacher development. He emphasizes practical applications of research through collaborations with educational institutions and policymakers, aiming to bridge theory and classroom practice.

• Cybersecurity and Privacy
• Artificial Intelligence
• Distributed Computing
• +۶ مورد دیگر

Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.