جست‌وجوی استاد و پژوهشگر

Toby Murrayمشاهده پروفایل

استاد

• Cybersecurity
• Formal Methods
• Secure Systems Engineering
• +۵ مورد دیگر

Toby Murray is a Professor in the School of Computing and Information Systems at the University of Melbourne, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. His work bridges formal methods, cybersecurity, and practical system security, with significant contributions to verified security and vulnerability detection. Murray's research focuses on building highly secure computing systems cost-effectively, with expertise in formal verification, information flow security, and vulnerability detection. His current research projects include Verisimilar (Verified, Secure Machine Learning), EDEFuzz (Detecting excessive data exposure in web applications), COVERN (Proving information flow security of concurrent programs), and Time Protection (Proving timing channel freedom for seL4). His work combines theoretical rigor with practical implementation, resulting in multiple open-source tools including SecC, Legion, and Underflow. Murray's recent publications demonstrate a consistent focus on verified security properties across diverse domains, from neural networks to concurrent systems. His work often bridges the gap between formal methods and practical security concerns, with increasing attention to machine learning security and policy implications of technical security measures. His publications span top venues in security, formal methods, and software engineering. Distinguished Paper Award at ICSE 2024 for EDEFuzz work on detecting excessive data exposure in web applications Extensive media commentary on cybersecurity issues including CrowdStrike outage analysis and social media regulation Regular contributions to The Conversation and Pursuit on cybersecurity policy matters Murray has advised numerous PhD students to completion, including Lianglu Pan (EDEFuzz), Zhiyuan Zhang, Mo Zhang, and Renlord Yang. He currently supervises multiple PhD students working on security verification, machine learning security, and web application security. His service includes being Program Chair for CSF'25, Associate Editor for IEEE Security & Privacy and ACM TOPS, and membership in IFIP's WG 1.7 and WG 2.3. His research group has developed multiple significant software tools including SecC (Verified Security for Concurrent C Programs), Legion (Principled Automatic Test Case Generation), and Underflow (Compositional Vulnerability Detection for C Programs), all available under open source licenses. Murray's work often involves discovering and reporting bugs in security analysis tools during his research, demonstrating the practical impact of his verification approaches.

• Network Architecture
• Software Defined Networking
• Internet of Things Security
• +۷ مورد دیگر

Professor Vijay Sivaraman is a distinguished academic at the University of New South Wales, where he serves as Professor in the School of Electrical Engineering and Telecommunications within the Faculty of Engineering. With extensive experience in network research, he leads significant projects in network architecture, security, and performance optimization. His educational background includes a PhD in Computer Science from UCLA (2000), an MSc in Computer Science from North Carolina State University (1996), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi (1994). Professor Sivaraman's research focuses on making communication networks like the Internet more efficient and effective. He develops network architectures and algorithms for improving delivery of services such as video streaming and gaming, with particular expertise in scalable architectures and protocols for optical, wireless, and sensor networks. His work bridges theoretical foundations with practical applications to solve real-world networking challenges. His recent publications demonstrate a strong trend toward network security, particularly in IoT environments, Software Defined Networking applications, and enterprise network monitoring. A significant portion of his work addresses security challenges in the Internet of Things, DNS security, and metaverse network requirements, showing his ability to anticipate and address emerging networking challenges. Awarded the Chorafas Foundation Award in 2000, Professor Sivaraman has secured substantial research funding including an ARC Discovery Project ($405K for 2014-2017) on interactive and scalable media over software defined networks, and a Google Research Award ($63K for 2013) on virtualizing access networks using SDN. He currently supervises 6 students in his lab, with 10 students having already graduated under his guidance. His research group actively works on projects related to Software Defined Networking, security mechanisms for networked IoT devices, and improving Internet service quality using data analytics and artificial intelligence. Professor Sivaraman leads a dynamic research laboratory focusing on network technologies, with particular emphasis on creating practical solutions for real-world networking problems through the integration of theoretical research and hands-on experimentation.

Saidul Islamمشاهده پروفایل

مدرس ارشد

• Computational fluid dynamics
• Discrete Element Method
• Machine learning
• +۷ مورد دیگر

Dr. Saidul Islam is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), Australia. He joined UTS as a Senior Lecturer on July 5, 2024, having previously served as a Lecturer (May 2022-July 2024), Scholarly Teaching Fellow (May 2019-May 2022), and Postdoctoral Research Fellow (January-December 2018) at the same institution. Dr. Islam completed his PhD in Mechanical Engineering from Queensland University of Technology (QUT), Brisbane, Australia. Dr. Islam's research spans multiple critical areas in engineering and environmental science. His primary expertise lies in computational fluid dynamics (CFD), Discrete Element Method (DEM), machine learning applications in fluid systems, thermofluids, thermal management, energy storage technologies, phase change materials, and biomedical modeling. His work addresses pressing global challenges including sustainable energy systems, air pollution impacts on respiratory health, and advanced thermal management solutions for electronics and industrial applications. His research has significant implications for clean energy technologies (SDG 7), industrial innovation (SDG 9), and climate action (SDG 13). Analysis of Dr. Islam's recent publications reveals a strong focus on energy storage systems, particularly metal hydride hydrogen storage and phase change materials for thermal management. His work integrates computational modeling with experimental validation, increasingly incorporating machine learning techniques to optimize thermal systems. There's a clear trajectory toward addressing environmental sustainability through low-GWP refrigerants and clean energy technologies, while simultaneously advancing biomedical applications through sophisticated modeling of particle transport in human airways. Best Early Career Researcher (ECR) Paper Award (2019) High-Achiever HDR Student Award QUT (2017) Best Paper Award (2015) Nomination for Outstanding PhD Thesis Award (2018) Nomination for Vice-Chancellor Teaching Award-QUT (2017) Dr. Islam actively supervises Masters and PhD students in research areas including multiphase flow, CFD-DEM, human lung modeling, energy storage, PCM, hydrogen energy, heat and mass transfer, bush fire and air quality, and thermofluids. His funded research projects include 'Decarbonising commercial and industrial process heating in Australia' (2024-2025), 'Caloric heat management space technology' (2023-2024), 'Enabling Resilient Space Computing with Advanced Thermal Management' (2023-2024), and 'Mechanical Ventilation of Stenosis Airway and Targeted Drug Delivery' (2019-2021). He serves as a guest editor for special issues on occupational respiratory health and heat wave impacts, and as an editor for International Journal of Fluid Engineering and PLoS ONE.

• Injury Prevention
• Risk Engineering
• Biomechanics
• +۶ مورد دیگر

Professor David Eager is a leading academic at the University of Technology Sydney in the School of Mechanical and Mechatronic Engineering . With a dual appointment as Professor of Risk Management and Injury Prevention, his work bridges mechanical engineering, biomechanics, and public health policy. PhD in Engineering (UNSW) 1st Class Honours Degree (NSWIT) Graduate Certificate in Dispute Resolution (UTS) His research focuses on risk engineering for injury prevention in recreational environments, with specific expertise in trampoline safety , playground surfacing , and greyhound racing biomechanics . Current projects examine impact attenuating materials and characterize trampoline dynamics through acceleration analysis. Recent publications include studies on: Dynamic behavior of sports sands (2025) Greyhound galloping mechanics (2024) ISO 4980:2023 benefit-risk assessment standard (2024) Scientific recognition includes: Life Member of Play Australia (2021) Standards Australia Centenary Hero (2022) AGM Michell Medal (2024) Kidsafe Research of the Year Award (2024) He maintains active roles in international standards development as: Australian representative on ISO/TC 83 Sports Equipment Australian representative on ISO/TC 254 Amusement Rides Chair of multiple Australian Standards committees

Marc Carmichaelمشاهده پروفایل

دانشیار

• Physical human-robot interaction
• Collaborative robotics
• Assistive robots
• +۷ مورد دیگر

Marc Carmichael is an Associate Professor at the University of Technology Sydney (UTS), School of Mechanical and Mechatronic Engineering. He serves as Director of Teaching and Student Engagement at the UTS Robotics Institute (UTS:RI) and leads the UTS:RI human-robot interaction (HRI) lab. With expertise in physical human-robot collaboration, he has developed several novel robotic systems addressing real-world problems across various industries. Dr. Carmichael received his B.Eng. in Mechanical and Mechatronic Engineering (2008) and PhD in Robotics (2013) from UTS. He joined the UTS Centre for Autonomous Systems as a Lecturer in 2016, was promoted to Senior Lecturer in 2019, and holds the title of Associate Professor. His educational background and career progression reflect his deep commitment to robotics research and education. His research focuses on robotic systems that provide physical assistance to users during laborious activities, enabling effective human-robot collaboration. His work spans collaborative robotics (cobots), assistive robots, robotic rehabilitation, robot kinematics and control, and robot system design. He specializes in developing systems where humans and robots work together physically to accomplish tasks, particularly in industrial settings and for assistive applications. An analysis of his recent publications reveals a strong emphasis on learning from demonstration techniques, human-robot trust modeling, cognitive conflict detection during collaboration, and practical implementation of cobots in industrial settings. His work increasingly integrates machine learning with physical human-robot interaction, focusing on making robotic systems more adaptable, intuitive, and responsive to human needs. Australia's Most Innovative Engineers by Engineers Australia (EA) in 2018 Dr. Carmichael actively supervises research students and leads multiple funded research projects. His grants portfolio includes collaborations with NOKIA, OMRON, NSW Centre for Work Health and Safety, Rookwood General Cemetery, and the Australian Cobotics Centre. He has secured funding for projects including 'Physical human-robot interaction,' '5G Connected Cobots,' 'ARC Training Centre for Collaborative Robotics in Advanced Manufacturing,' and 'Next-Generation Intelligent Robotic Mobility Aid for Vision Impaired People.' As Director of Teaching and Student Engagement at the UTS Robotics Institute, he champions educational initiatives including undergraduate engineering subjects and industry-facing micro-credentials. His leadership in the HRI lab fosters innovation in human-robot teaming, with applications spanning industrial automation, assistive technology, and rehabilitation.

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +۷ مورد دیگر

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.

Mitchell Harleyمشاهده پروفایل

دانشیار

• Coastal Engineering
• Coastal Erosion
• Remote Sensing
• +۵ مورد دیگر

Associate Professor Mitchell Harley is a leading expert in coastal erosion and hazards at the University of New South Wales (UNSW) , specifically within the Faculty of Engineering and School of Civil and Environmental Engineering . His work combines innovative technologies like CoastSnap (a global citizen science initiative) and CoastSat (satellite imagery analysis) to advance coastal monitoring and forecasting. Education: BEng (Environmental) and BSc (Oceanography/Meteorology) from UNSW (2004), PhD in Civil Engineering (2009) Supervision: Currently mentoring 7 PhD/MPhil students in areas like AI for rip current detection and satellite shoreline modeling Research Focus: Coastal erosion mechanisms, real-time hazard forecasting, and climate change impacts on shorelines. Key technologies include smartphone-based monitoring , satellite remote sensing , and machine learning . Recent Publications (2022-2025) demonstrate expertise in: Multi-decadal shoreline prediction Wave climate downscaling Citizen science applications AI for coastal safety ENSO-driven erosion patterns High-resolution satellite monitoring Scientific Recognition: CoastSnap: UN Ocean Decade Action Scientia Associate Professorship Collaborations: Leads initiatives like the Narrabeen-Collaroy Beach Survey Program (50-year dataset) and Coastal Imaging Research Network . Advises on national Coastal Storm Hazard Warning Systems .

Wolfgang Schmidمشاهده پروفایل

پژوهشگر

• Sustainable Water Management
• Groundwater Hydrology
• Integrated Hydrological Modelling
• +۷ مورد دیگر

Dr Wolfgang Schmid is a Senior Research Scientist at CSIRO Land and Water in Australia, with adjunct faculty status at the University of Arizona. His work focuses on sustainable water management through advanced hydrological modeling and innovative groundwater research. Doctor of Philosophy in Hydrology (University of Arizona, 2004) Diplom in Geology (University of Tübingen, 1994) Diplom in Geography (University of Tübingen, 1994) Dr Schmid specializes in MODFLOW-OWHM code development, particularly the Farm Process module. His research spans groundwater allocation planning , land subsidence assessment , and coal seam gas impact analysis . He has led international projects in the Indus Basin (Pakistan) and Brahmani-Baitarni Basin (India), addressing food-water crises through integrated modeling. His software development work has been applied in 62 global projects, and he pioneered workshops on groundwater modeling in Australia, Germany, and Italy. Current interests include machine learning applications for aquifer compaction analysis and participatory modeling approaches for socio-economic scenario development. Scientific Awards: 2009 Kevin J Neese Award 2018 CSIRO Chairman's Medal Dr Schmid has contributed to environmental impact assessments for WaterCorp and national unconventional gas development policies. His career spans academic roles at the University of Arizona (2004-2012), consultancies in Germany/UAE (1994-1999), and 15+ years of CSIRO leadership in groundwater research.

Wenyi Yanمشاهده پروفایل

استاد

• Mechanical Engineering
• Materials Science
• Railway Engineering
• +۷ مورد دیگر

Prof. Wenyi Yan is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University. His career includes research fellowships in Europe, roles at multiple Australian universities, and leadership in over 14 Australian Research Council (ARC) grants since 2006. He has supervised 19 PhD and 5 MSc graduates, currently mentoring 12 PhD students. Education: B.Eng. (Hons) from Beijing University of Aeronautics and Astronautics (1989), M.Sc. (1992), and Ph.D. (1995) from Tsinghua University. Research focuses on material behavior under cyclic loading, railway infrastructure optimization, laser cladding repair, and additive manufacturing. Key areas include fracture mechanics, tribology, and computational modeling for rail systems. Notable projects: Development of machine learning tools for structural analysis (2025–2028), ARC Hub for Smart Process Design (2024–2029), and rail component repair using laser cladding. His work addresses UN SDGs related to sustainable infrastructure and innovation. Awards: While no specific prizes are listed, his extensive grants and publications (3 book chapters, 176 journals, 68 conferences; h-index 42) reflect his impact. Current grants total over 10 projects, emphasizing industry collaboration with Rio Tinto, ANSTO, and others.

Ravichandran Subramaniamمشاهده پروفایل

مدرس ارشد

• Corporate Governance
• Behavioral Finance
• Corporate Social Reporting
• +۳ مورد دیگر

Dr. Ravichandran Subramaniam is a Senior Lecturer in the Department of Accounting and Finance at Monash University Malaysia and Director of the Master in International Business (MIB) program. He holds a PhD in Finance from University Malaya, an MBA in Accountancy, and professional qualifications as a CPA (Aust). His academic roles include Head of the American Degree Transfer Program and leadership in finance education. Educational Background : PhD in Finance (2011), University Malaya MBA in Accountancy (2002), Malaysia General Certificate in Higher Education (2015), Monash University Association of International Accountants Degree (1999) Research Focus : His work spans Corporate Governance, Behavioral Finance, ESG integration, Auditing, Financial Technology, and Banking Regulation. Key themes include sustainability reporting, anti-corruption frameworks (TRUST Principles), and risk management in emerging markets. Collaborations & Projects : Lead researcher on projects exploring ESG performance, dividend policy, and corporate innovation Contributor to UN Global Compact initiatives on business integrity Co-developed the Malaysia CFO Collective Action Program Professional Engagement : Member of Malaysian Institute of Accountants (MIA) review panel Facilitator for CEO Roundtables and SDG Innovation Accelerator programs Active in CPA Australia and MUM business technology-ESG dialogues Labs/Teams : Involved in Monash’s Sustainable Finance initiatives and Malaysia School of Business strategic research groups.

Soo Wooi Kingمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Network Security
• Wireless Networks
• +۳ مورد دیگر

Soo Wooi King serves as a Senior Teaching Fellow at Monash University Malaysia's School of Information Technology, contributing to both academic instruction and research in information technology systems. His professional profile centers on practical applications of computational methods in security and network optimization. His research spans Machine Learning, Network Security, Wireless Networks, and Natural Language Processing, with emphasis on implementing Naive Bayes classifiers for real-world problem solving. Key application areas include malware detection systems, news credibility assessment tools, and telecommunications network management solutions where algorithmic precision directly impacts operational reliability. Publication trends from 2017-2022 reveal consistent specialization in machine learning deployment across cybersecurity and networking domains. His highly cited 2018 survey on wireless load-balancing (18 Scopus citations) demonstrates significant field impact, while recent malware classification research shows evolving technical sophistication in feature engineering approaches. Work consistently bridges theoretical algorithms with industry-specific implementation challenges.

Ray Eatonمشاهده پروفایل

دانشیار

• Nonlinear Control Systems
• Agricultural Automation
• Precision Agriculture
• +۳ مورد دیگر

Ray Eaton is an Associate Professor and Associate Dean Curriculum and Learning at Macquarie University's Faculty of Science and Engineering, specializing in nonlinear control systems and agricultural automation. He holds a PhD in Electrical Engineering from UNSW Sydney. Education: PhD in Electrical Engineering (UNSW Sydney, 2002), Bachelor of Engineering (Electrical Engineering). His research spans engineering education leadership, agricultural machinery modeling, and virtual reality applications in fluid mechanics. He contributes to projects like G2G: Girls to Graduates , focusing on STEM empowerment for women. Scientific Awards: FSE Inter-Departmental Collaboration Award-Highly Commended (2020)

Sebastian Doeltgenمشاهده پروفایل

دانشیار

• Swallowing disorders
• Dysphagia
• Speech pathology
• +۸ مورد دیگر

Associate Professor Sebastian Doeltgen serves as Dean (Education) at Flinders University's College of Nursing and Health Sciences and is a Full Member of the Caring Futures Institute. He also holds an Early Career Researcher position at the College of Science and Engineering within the Medical Device Research Institute. With expertise in speech pathology and swallowing disorders, his academic journey spans Germany, New Zealand, and Australia. Graduated in Germany in 2003 Completed post-graduate study in swallowing rehabilitation at Christchurch, New Zealand (2005-2009) Served as NHMRC Postdoctoral Research Fellow at University of Adelaide's Robinson Institute until October 2012 His research focuses on dysphagia (swallowing disorders), particularly their neuro-pathological correlates and socio-economic impact. He investigates swallowing neuromotor control using advanced assessment tools including pharyngeal manometry, transcranial magnetic stimulation, and transcranial direct current stimulation. His work addresses critical questions about sensorimotor processes during swallowing, effects of rehabilitative interventions, and nervous system damage impacts. Analysis of his recent publications reveals a strong focus on clinical reasoning in dysphagia assessment, machine learning applications for risk identification, and behavioral interventions for swallowing rehabilitation. His research consistently bridges basic science with translational approaches toward novel swallowing interventions, addressing the significant health complications and quality-of-life impacts associated with dysphagia. 110 total research outputs across multiple publication types h-index of 24 with 1536 citations Active research output through 2025 Professor Doeltgen has completed supervisions for 5 students in Speech Pathology and Swallowing Disorders. He has secured research funding for projects including 'Screen, Clean, Hydrate – towards better outcomes in acute stroke' (2022-2023), which focused on cerebrovascular accident and stroke unit improvements. His research contributes to UN Sustainable Development Goals, particularly those related to health and well-being. His work extends to collaborations across multiple research areas, with notable fingerprints including Plummer-Vinson Syndrome (100%), Dysphagia (72%), Apoplexy (41%), Sphincter (38%), Cerebrovascular Accident (36%), Manometry (29%), Fluid Intake (21%), and Systematic Review (14%).

• Artificial Intelligence in Medical Imaging
• Machine Learning
• Deep Learning in Image Processing
• +۵ مورد دیگر

Gobert Lee is a Lecturer in Statistical Science at the College of Science and Engineering, Flinders University, and a Full Member of the Medical Device Research Institute. His work bridges artificial intelligence with medical imaging and biomedical engineering. Primary Affiliations: Flinders University, Medical Device Research Institute Academic Role: Lecturer in Statistical Science Research Interests: Lee specializes in applying machine learning and deep learning to medical imaging challenges, particularly focusing on: Computer-aided diagnosis (CAD) for breast cancer detection Whole-body CT segmentation and computational human anatomy Construction of human voxel models for radiation dose calculation Statistical pattern recognition in radiologic studies His research aligns with UN Sustainable Development Goals in Digital Health and has produced significant work in: CT/MRI translation using generative models (CycleGAN) Superpixel-based segmentation techniques Texture analysis for tumor classification Radiation dosimetry modeling Pediatric imaging challenges Scientific Network: Collaborations span multidisciplinary areas including: Medical imaging analysis Biomedical engineering AI for healthcare applications Climate resilience projects Key trends in his publications (2018-2023) show increasing focus on: Deep learning architectures for cross-modality imaging Automated segmentation of complex anatomical structures Statistical optimization in noisy/dense imaging environments Integration of AI with radiation safety protocols

Longbing Caoمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Professor Longbing Cao serves as a Professor at University of Technology Sydney (UTS) in the Faculty of Engineering and Information Technology, specifically within the Data Science Institute. He also holds the position of Distinguished Chair Professor in AI at Macquarie University and is an ARC Future Fellow (Level 3). As a pioneering researcher in AI, data science, and advanced analytics, Professor Cao founded the UTS Advanced Analytics Institute, the first data science initiative in Australia. Professor Cao's research interests span across data science fundamentals, machine/deep learning, behavior informatics, and enterprise data science applications. His work bridges the gap between theoretical research and practical implementation, focusing on non-IID learning, actionable knowledge discovery, and complex behavior modeling. His research has addressed real-world challenges in government services, finance, insurance, banking, telecommunications, transport, and e-commerce sectors. His 15 most recent publications reveal a strong trend toward addressing distributional challenges in machine learning, developing transdisciplinary AI approaches, modeling complex temporal dependencies, and advancing negative sequence analysis. His work consistently integrates theoretical foundations with practical applications, particularly in financial analytics, healthcare, and disaster resilience. Scientific Awards: Eureka Prize for Excellence in Data Science (2019) ACM Distinguished Scientist Professor Cao has made significant contributions to academic leadership and research supervision. He established world-first research degrees at UTS (Master of Analytics and PhD Thesis: Analytics), founded the IEEE Task Force on Data Science and Advanced Analytics, and served as general chair of the KDD conference in 2015 (the first edition in Australia). His funded research portfolio includes multiple ARC grants and industry collaborations focusing on complex data analytics, behavior informatics, and AI applications. He leads the Data Science Lab at UTS, which has become a prominent center for data science research in Australia. The lab focuses on developing fundamental theories and practical applications of data science, with strong industry partnerships that translate research into real-world impact. Professor Cao's leadership in establishing the annual Big Data Summit in 2012 created Australia's first platform for bridging academic research with industry and government applications.