جست‌وجوی استاد و پژوهشگر

• Applied Linguistics
• TESOL
• Discourse Analysis
• +۵ مورد دیگر

Dr. Eleni Petraki is an Associate Professor in TESOL and Applied Linguistics, and Associate Dean (Research) for Higher Degrees by Research at the University of Canberra's Faculty of Education. She holds a PhD in Education from the University of Queensland, complemented by an MSc in Applied Linguistics from the University of Edinburgh and a BA/Bed in English Language and Literature from Aristotle University of Thessaloniki. Her research focuses on discourse analysis, intercultural communication, and the application of educational theories to machine education and AI pedagogy. She has secured significant grants, including a $580K ARC Discovery Project (2020-2024) exploring machine education for autonomous systems. Education PhD Education, University of Queensland, Australia MSc Applied Linguistics (English Language Teaching), University of Edinburgh, UK BA/Bed English Language and Literature, Aristotle University of Thessaloniki, Greece Her research interests bridge linguistics and AI, addressing topics like human-machine interaction, curriculum design for autonomous systems, and discourse analysis in healthcare and education. She has published widely in journals such as Cognitive Computation , Australian Journal of Linguistics , and ACM Transactions , with recent work focusing on swarm intelligence, generative AI in education, and autonomous learning systems. Dr. Petraki has been recognized for excellence in research supervision, including the 2015 Vice Chancellor's Excellence Award and nominations for Best Research Supervision. She actively guides HDR students exploring topics like humor in language teaching, gender dynamics in managerial communication, and Sri Lankan grammar pedagogy. Her grants and projects include collaborations on computational models of trust, red-teaming simulations, and translator stylometry. She contributes to professional bodies like the Applied Linguistics Association of Australia and the Australian Linguistic Society.

Roslyn Hicksonمشاهده پروفایل

دانشیار

• Infectious diseases modelling
• Emerging infectious diseases
• Vector borne diseases
• +۷ مورد دیگر

Conjoint Associate Professor Roslyn Hickson serves as Science Leader for Emerging Infectious Diseases through a joint appointment between James Cook University and CSIRO. She holds affiliations with the Australian Institute of Tropical Health and Medicine (AITHM), Centre for Tropical Biosecurity (CTB), Centre for Tropical Environmental and Sustainability Science (TESS), WHO Collaborating Centre for Vector Borne Diseases, and previously with the University of Melbourne's School of Mathematics and Statistics. PhD in Engineering (Heat/Mass Transfer), UNSW Canberra 2010 Research Fellow, National Centre for Epidemiology and Population Health (ANU) Postdoctoral Research Fellow, University of Newcastle (2011-2014) Research Scientist, IBM Research Australia (2014-2018) Research Fellow, Australian Centre of Research Excellence in Malaria Elimination (University of Melbourne, 2018) Her research program focuses on mathematical modeling of infectious disease transmission with emphasis on emerging pathogens, zoonotic spillover events, and vector-borne diseases through One Health and biosecurity frameworks. She develops quantitative tools for risk assessment, surveillance optimization, and policy evaluation across Australian, Southeast Asian, and Pacific Island contexts. Current projects integrate ecological niche modeling, behavioral epidemiology, and multi-scale transmission dynamics to address challenges in pandemic preparedness and tropical disease control. Analysis of her 28 publications reveals consistent focus on mathematical frameworks applicable to real-world health security challenges. Her work spans influenza, dengue, malaria (particularly Plasmodium vivax), Japanese encephalitis, and bat-borne pathogens, with increasing emphasis on model reproducibility and policy translation since the COVID-19 pandemic. Key methodological contributions include multiscale modeling approaches, behavior-disease interaction frameworks, and spillover risk prediction systems. Victorian Young Tall Poppy Science Award (2018) ITS Award for Excellence in Research and Development (2020) Ria de Groot Prize for best female postgraduate student (2010) Two-time EmTech Asia Innovators Under 35 Finalist (2016, 2017) Corporate Social Responsibility Award (2017) As primary advisor for five doctoral candidates and multiple honours students, she supervises research on bat-pathogen ecology, feral pig zoonoses, and wildlife disease dynamics. Her committee service includes PREZODE international working group, Biosecurity Commons Advisory Panel, and editorial roles for BMC Infectious Diseases. Current research integrates ecological modeling with public health decision support systems through partnerships with WHO, CSIRO, and regional health authorities across the Indo-Pacific.

• Geoinformatics
• Intelligence Informatics
• Geospatial Data Mining
• +۷ مورد دیگر

Ickjai Lee is an Associate Professor at the School of IT, James Cook University, specializing in geoinformatics and intelligence informatics. He leads the Information Technology department and has held roles including Senior Lecturer and Lecturer since 2003. He obtained his PhD in 2002 from the University of Newcastle, Australia. Research Interests: Geospatial data mining, trajectory analysis, Voronoi tessellations, mobile AR, and IoT applications. Projects: Includes VR healthcare trials, AI-driven vehicle damage assessment, and environmental monitoring systems. His work focuses on applying machine learning and geospatial techniques to solve real-world problems in health, environmental, and urban domains. Notable achievements include best paper awards at international conferences and faculty citations for teaching excellence. He collaborates on interdisciplinary projects, such as using AR for marine growth monitoring and developing tools for crime pattern analysis. His research also involves large-scale ecoacoustic data analysis and VR-based education platforms. Lee has supervised numerous PhD students exploring topics like differential privacy in biokinetics, spatio-temporal anomaly detection, and VR in cultural heritage preservation.

• Health Information Systems
• Telehealth Adoption
• Mobile Technologies
• +۳ مورد دیگر

Abdul Hafeez-Baig is Associate Professor of Information Systems in the School of Business at the University of Southern Queensland. He holds a BSc from Punjab University, BBus and PhD from USQ, and MBA/MIS from Griffith University. His research focuses on health information systems, telehealth adoption, mobile technologies in healthcare, cybersecurity policy, and AI applications in medical diagnostics. Recent work explores deep learning models for medical image analysis and disease prediction. Publications demonstrate strong cross-disciplinary focus, integrating computer science with healthcare applications. Research trends include neural networks for medical imaging, telehealth systems analysis, and AI-driven diagnostic tools. He maintains additional expertise as accredited translator for Punjabi and Urdu languages.

• Network Security
• Covert Channel Detection
• IPv6 Deployment
• +۳ مورد دیگر

Dr. Sebastian Zander is a Senior Lecturer in Information Technology at Murdoch University's School of Information Technology. His research focuses on cyber security, network security, and machine learning applications in traffic analysis. He teaches undergraduate and postgraduate courses in cyber security and networking. Key research areas include: Covert channel detection in network protocols IPv6 deployment analysis in Australia and China Machine learning methods for network traffic classification Cybersecurity challenges for small-to-medium businesses Security mechanisms for Internet of Things (IoT) His recent publications demonstrate a focus on practical cybersecurity solutions including BroCCaDe framework for covert channel detection, analysis of IPv6 adoption patterns, and machine learning applications in agricultural technology for frost detection. Recent cybersecurity surveys provide comprehensive assessments of SMB security challenges with mitigation recommendations. Awards include the AJ Parker Award for Outstanding Early Career Researcher (2017) and Best Paper Award at IFIP Networking (2017) for work on TCP congestion control. Research employs experimental testbeds and practical implementations with emphasis on open-source security tools. Professional activities include network traffic analysis for enterprise environments, development of less-than-best-effort TCP variants, and security assessments for wireless networks.

Simon McKenzieمشاهده پروفایل

پژوهشگر ارشد

• International Humanitarian Law
• Autonomous Weapons Systems
• Law of Armed Conflict
• +۲ مورد دیگر

Dr. Simon McKenzie is a Research Fellow at the University of Queensland School of Law, focusing on legal challenges in defense and security technologies, particularly autonomous systems and their regulation under international law. His research spans autonomous weapons, maritime security, and cyber warfare frameworks. Education includes combined Arts/Law degree from University of Tasmania (2011) and PhD in international criminal law from University of Melbourne (2018). Professional experience includes policy work in Victorian Department of Justice and researcher roles at Supreme Court of Victoria and International Criminal Court. Research Focus: McKenzie examines legal implications of emerging military technologies: Autonomous weapons systems regulation Maritime law and unmanned vehicles Cyber operations compliance International humanitarian law applications AUKUS security implications His recent publications demonstrate growing expertise in autonomous maritime systems regulation and computational aspects of warfare law.

Hammond Pearceمشاهده پروفایل

مدرس ارشد

• Hardware Security
• Generative AI
• LLM Verification
• +۱ مورد دیگر

Dr. Hammond Pearce is a Senior Lecturer at UNSW Sydney specializing in cybersecurity of embedded systems. His research develops AI-assisted methods for hardware security verification and adversarial attack mitigation. Research Focus: Cybersecurity of additive manufacturing, industrial control systems, and AI-generated hardware designs. Leads projects on LLM-based vulnerability detection funded by Intel and NSF. Education & Leadership: PhD from University of Auckland with NASA internship. Developed Australia's first hardware security course at Go8 university. Chartered engineer with industry experience in critical systems.

• Renewable Energy
• Energy Storage
• GIS Analysis
• +۳ مورد دیگر

Dr. Cheng Cheng is a Senior Research Officer at the Australian National University's School of Engineering. He holds a Bachelor of Engineering (Honours) and PhD from ANU. His research focuses on renewable energy integration, decarbonization pathways, energy system modeling, and GIS analysis. He specializes in optimizing off-river pumped hydro energy storage systems. Cheng leads multiple renewable energy projects funded by government and industry grants, and has developed methodologies for energy demand forecasting and least-cost optimization. His work bridges theoretical energy modeling with practical implementation through collaborative outreach activities. Education: B.Eng(Hons) & PhD (Australian National University) Research interests emphasize sustainable energy transitions, with particular attention to geospatial analysis for energy infrastructure planning. His recent projects include developing frameworks for integrating renewable generation with storage solutions. Over 150 publications span machine learning applications in energy systems, astrophysics, and bioinformatics. Awards include academic fellowships supporting his interdisciplinary work. Cheng collaborates with industry partners to translate research into policy and technology. He directs the ANU's Renewable Energy Integration Lab (RE100), advancing grid stability solutions through innovative storage technologies. His work has been recognized in special issues of journals focusing on robust machine learning applications.

Guangdong Baiمشاهده پروفایل

دانشیار

• Trustworthy AI
• Cyber Security
• Software Engineering
• +۵ مورد دیگر

Associate Professor Guangdong Bai is affiliated with The University of Queensland's School of Electrical Engineering and Computer Science, specifically within the Discipline of Cyber Security and Software Engineering. He holds the academic rank of Associate Professor and is currently on leave. His research focuses on Trustworthy AI, Cyber Security, Software Engineering, and Formal Methods, with notable contributions to privacy compliance, IoT/ICS security, and adversarial machine learning defense mechanisms. Education includes a PhD from the National University of Singapore and undergraduate/master's degrees from Peking University. His work spans theoretical advancements and practical applications, including blockchain-based systems for EV charging and vaccine tracking, adversarial attack frameworks (e.g., GenDroid), and federated learning security. Research interests emphasize AI ethics, privacy-preserving techniques, and securing emerging technologies like autonomous vehicles and smart agriculture networks. Notable projects include AuSSE (autonomous vehicle security framework), CoreLocker (neural network usage control), and PAODING (neural network pruning toolkit). Publications (15 most recent) reflect expertise in adversarial machine learning, federated learning, and IoT security. His work bridges theory and practice, addressing real-world challenges in critical infrastructure and decentralized systems. Labs/teams include collaborations on Cyber Security and Software Engineering at UQ, with supervision of PhD candidates such as Yanjun Zhang (Deakin University) and Kailong Wang (Huazhong University of Science and Technology).

• Photonics
• Terahertz Technology
• Laser Feedback Interferometry
• +۴ مورد دیگر

Aleksandar Rakic is a Professor in the School of Electrical Engineering and Computer Science at The University of Queensland. He serves as the Associate Dean (External Engagement) in the Faculty of Engineering, Architecture, and Information Technology. His research focuses on photonics and microwave engineering, with expertise in laser feedback interferometry, terahertz technology, and optoelectronic devices. Rakic leads the Photonics and Microwave Engineering group, pioneering advancements in sensing and imaging systems across the electromagnetic spectrum. His core research areas include developing terahertz sensing systems for applications in security, defense, and biomedical imaging, as well as designing surface-emitting optoelectronic devices like VCSELs. Notable contributions include world-first laser-feedback interferometric sensors using quantum cascade lasers and mid-infrared interband cascade lasers. Rakic has authored over 200 publications, including book chapters and journal articles in high-impact venues like Physical Review A , Optics Express , and Nature Communications . His work bridges fundamental photonics research with applied technologies, such as non-destructive material analysis and biomedical diagnostics. Current projects emphasize terahertz imaging for in vivo biomedical applications and precision agriculture. His group collaborates with industry and academia on cutting-edge technologies, including THz nanoscopy for quantum device characterization and laser-based imaging systems for cultural heritage preservation. Despite prolific output, Rakic holds no explicitly stated scientific awards but is recognized for transformative contributions to terahertz sensing and photonics.

• Industrial Ecology
• Environmental Economics
• Sustainability Assessment
• +۳ مورد دیگر

Arne Geschke is an Associate Professor in the Faculty of Science at The University of Sydney. His work focuses on understanding the environmental and social impacts of global trade through advanced multi-regional input-output (MRIO) analysis. Before academia, he worked in Germany’s car industry developing mathematical models for engine behavior, blending practical engineering expertise with academic research. Dr. Geschke holds an Industrial Mathematics degree from institutions in Hamburg, Germany, and Bath, UK. His research interests include industrial ecology, climate change mitigation, sustainability assessment, and the application of MRIO frameworks to evaluate embodied emissions and resource use across economies. He has contributed to major projects like the EORA global MRIO database and the PIOLab virtual laboratory initiative, advancing transparent and collaborative environmental accounting. Key grants include a 3TB RAM, 32-core server funded by the University of Sydney’s DVC Research (2014), and projects on harmonizing MRIO data and linking MRIO to computable general equilibrium (CGE) models. His recent work highlights consumption-based environmental footprints, such as healthcare’s biodiversity impact and food supply chain vulnerabilities under climate change. Recipient of research support from CSIRO and the Norwegian University of Science and Technology. Recognized in Clarivate’s 2023 Highly Cited Researchers list for impactful contributions. Dr. Geschke’s work bridges technical modeling and global sustainability challenges, emphasizing policy-relevant insights through innovative data integration. His labs and tools aim to democratize access to complex environmental-economic analyses, fostering international collaboration.

• Biometrics Security
• IoT Devices and Their Application
• Machine Learning
• +۲ مورد دیگر

Dr. Aseel Bedari is a Casual Academic at the Centre for Technology Infusion and holds roles as a Sessional Lecturer and Lecturer Assistant in the Engineering and Computer Science department at La Trobe University, Melbourne, Australia. Their research focuses on Biometrics Security, IoT applications, Machine Learning, and Connected Automated Vehicles (C-ITS Technology). Bedari has contributed to advancements in fingerprint authentication systems, particularly in enhancing security and privacy in IoT and 5G environments. Recent work includes developing cancelable biometric systems and feature transformation techniques to protect sensitive biometric data. Their publications span topics like fingerprint minutiae modeling, dynamic key generation, and secure authentication protocols. Education: Bachelor of Control and System Engineering, University of Technology, Baghdad (2005–2009) Master of Electronic Engineering, La Trobe University (2015–2017) PhD in Biometric Security, La Trobe University (2018–2022) Research Trends: Bedari’s articles emphasize securing biometric data in IoT and industrial systems, leveraging mathematical models (e.g., Möbius transformations) and signal processing (convolution-based methods). Their work bridges theoretical biometric analysis with practical applications like 5G networks and automated vehicles. Labs/Teams: Affiliated with the Centre for Technology Infusion, focusing on technology transfer and innovation in engineering and computer science.

Sachith Seneviratneمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Computer Vision
• Deep Learning
• +۹ مورد دیگر

Dr. Sachith Seneviratne is a Research Fellow at the University of Melbourne's Melbourne School of Design, specializing in Computer Vision and Health. His research bridges Machine Learning, Urban Design, and Public Health, with a focus on Deep Learning, Contrastive Representation Learning, and Agent-Based Modelling. He holds a PhD in Machine Learning from Monash University, exploring automated parallelized machine learning models. His work has collaborations with NASA, Harvard University, and Currnt Research Hub. He is affiliated with the Transport, Health and Urban Design (THUD) research group, focusing on 'Data and Value,' 'Future Cities,' and 'Healthy Communities and Infrastructure.' His recent publications span facial deepfake detection, urban design impacts on health, and automated architecture generation using LLMs. Research interests include generative design, automated infrastructure planning, and the ethical implications of facial recognition under privacy constraints (e.g., masked faces). He has pioneered methods for collecting population-level bicycling data via smartphones/Bluetooth beacons and developed novel architectures like Arch-LLM for neural architecture generation. His work on subgrid-informed flood mapping and physics-informed neural networks demonstrates cross-disciplinary innovation. Consulting work includes machine learning projects for NASA and Harvard. His lab teams focus on creating interpretable AI systems for environmental and health applications, such as Ginn-kan for physics simulations and Ginn-lp for symbolic equation discovery. Current projects aim to quantify urban design's impact on non-communicable diseases and improve walkability through micro-scaled spatio-temporal analysis.

• Privacy
• Cryptography
• Information Security
• +۶ مورد دیگر

Hassan Asghar is a Senior Lecturer in Computer Science at Macquarie University's School of Computing and a Research Scientist at CSIRO since 2014. His research focuses on privacy, cryptography, and information security, including quantifying privacy risks, developing secure cryptographic protocols, and analyzing authentication systems. He has contributed to areas such as differential privacy, secure multiparty computation, and malware analysis. His work integrates mathematics (number theory, probability, and combinatorics) with computer science disciplines like machine learning and algorithms. Notable projects include Privacy Preserving Data Sensing Algorithms (2018–2019) and the Macquarie University Cyber Security Hub (2016–2023). He has authored over 40 research outputs, including studies on adversarial attacks in AI, malware obfuscation, and privacy-preserving data release. Awards: ACM AsiaCCS 2019 Best Paper Award; 2023 Faculty of Science and Engineering Inter-School Collaboration Award. Key Research Themes: Privacy quantification, cryptographic protocol design, biometric authentication, and adversarial machine learning. Collaborations: Extensive international collaborations in cybersecurity and privacy research. Asghar’s contributions span technical publications, policy submissions (e.g., NSW Cybersecurity Inquiry), and practical tools like ConvoCache for chatbot efficiency. He leads the Future Communications Research Centre at Macquarie and actively engages in interdisciplinary cybersecurity initiatives.

Yimeng Fengمشاهده پروفایل

مدرس

• Internet of Things (IoT)
• Intelligent Transportation Systems
• Wireless Sensor Networks
• +۵ مورد دیگر

Dr. Yimeng Feng is a Lecturer in Computing (IoT and Networking) at the School of Computing, Macquarie University, Sydney. She also serves as Associate Director of International Engagement in the School. Her research focuses on IoT, Intelligent Transportation Systems, Wireless Sensor Networks, and Service Computing. She holds dual Ph.D. degrees from the University of Technology Sydney and Beijing University of Posts and Telecommunications, with additional academic qualifications from Queen Mary University of London. Education: Ph.D. in Computer Science and Technology, Beijing University of Posts and Telecommunications Doctor of Philosophy (Engineering), University of Technology Sydney Bachelor of Management and Bachelor of Engineering (Honours), Queen Mary University of London Research interests span magnetic sensor-based vehicle monitoring, mmWave radar for environmental sensing, and mobile application development tools. Recent work includes smart road studs for traffic volume detection and multimodal data ecosystems. She has authored 15 peer-reviewed publications and secured grants like the MQ ECR Enabling Scheme (2024). Her work has been recognized with awards such as the 2022 Asian Deans’ Rising Stars in Engineering Workshop. Grants and Awards: Faculty Strategic Startup Fund (2024) FSE Staff Travel Scheme (2024) School of Computing Incentive Funds (2024) Labs/Teams: Active in the Future Communications Research Centre, Data Horizons Research Centre, and Smart Green Cities Research Centre at Macquarie University.