جست‌وجوی استاد و پژوهشگر

David J Paulمشاهده پروفایل

دانشیار

• Networks and distributed systems
• Internet and Cloud computing
• Security and Privacy
• +۷ مورد دیگر

Associate Professor David J Paul is a computational scientist at the University of New England's School of Science and Technology within the Faculty of Science, Agriculture, Business and Law. With expertise spanning computer science, distributed systems, and applied technology, he has established himself as a multidisciplinary researcher bridging computer science with agriculture, sports science, and healthcare domains. His work consistently focuses on practical technology applications that address real-world challenges while maintaining data privacy and security. Dr. Paul earned his Bachelor's degrees in Mathematics and Computer Science from the University of Newcastle in 2004, followed by Honours in Computer Science in 2005, and completed his PhD titled "Deliberate Cooperation in Service-Oriented Environments: Dynamic Transactional Workflows for Web Services" in 2012. Prior to joining UNE in 2015, he worked at the Schizophrenia Research Institute from 2005-2015 and collaborated with the Health Behaviour Research Group starting in 2014. His research interests span networks and distributed systems (including Internet and Cloud computing), security and privacy, computer science education, sports science, agriculture, and e-Health. Dr. Paul has demonstrated particular strength in developing systems that integrate multiple disparate datasets while maintaining privacy, as evidenced by his work on the Australian Schizophrenia Research Bank and agricultural applications like ASKBILL and RamSelect. His recent work shows increasing focus on cybersecurity applications for SMEs, women's sports analytics, and precision agriculture technologies. Dr. Paul has secured multiple research grants including University of New England SABL Teaching & Learning Grants (2023), an Australian Council of Deans of ICT grant (2022-2023), SheepCRC projects (2015-2016), and a NeCTAR grant (2012). His extensive publication record demonstrates consistent productivity across both theoretical computer science and applied domains. School of Science and Technology Teaching Award (2017) for Computer Science curriculum redesign School of Science and Technology Development Award for COSC110 introductory programming unit With over 20 research students supervised across PhD, Master's, and Honours programs, Dr. Paul has established himself as a dedicated mentor. His current research portfolio spans cybersecurity for SMEs, precision agriculture technologies, sports analytics (particularly women's rugby league), and advanced cryptographic techniques. His work on QuON, ASKBILL, and RamSelect demonstrates his ability to create practical technological solutions that address specific industry challenges while maintaining rigorous academic standards.

James Brinkhoffمشاهده پروفایل

دانشیار

• Remote Sensing
• Agricultural Analytics
• Crop Yield Forecasting
• +۱ مورد دیگر

James Brinkhoff is an Associate Professor specializing in agricultural remote sensing at the University of New England's Applied Agricultural Remote Sensing Centre. His research develops satellite-based monitoring systems for precision agriculture, particularly for rice, macadamia, and mango crops. Current projects include real-time yield forecasting algorithms using Sentinel satellite data, water management optimization, and phenology-based crop modeling. His methods combine machine learning with multispectral imagery analysis to improve farming efficiency.

Charith Rathnayakaمشاهده پروفایل

مدرس ارشد

• Computational Mechanics
• Sustainable Engineering
• Renewable Energy
• +۳ مورد دیگر

Dr Charith Rathnayaka is a Senior Lecturer in Mechanical Engineering at the University of the Sunshine Coast (UniSC) and a Senior Fellow of the Higher Education Academy (SFHEA). He also serves as an Adjunct Lecturer at Queensland University of Technology (QUT). His research focuses on computational mechanics, sustainable engineering, renewable energy, food drying, and physics-informed machine learning, with a particular emphasis on developing environmentally and economically sustainable processes. Dr Rathnayaka holds a PhD from QUT (2017) and a Bachelor of Engineering (Honours) from the University of Moratuwa (UOM). Education: PhD in Computational Mechanics, Queensland University of Technology (2017) BScEng(Hons) in Engineering, University of Moratuwa (First Class Honours) His research interests include computational modeling of plant cellular drying, green hydrogen systems, and machine learning applications in food science. He teaches thermodynamics, fluid mechanics, and heat transfer, integrating research into his teaching. Dr Rathnayaka has received awards such as the QUT Outstanding Doctoral Thesis Award and SFHEA recognition. He leads research grants focusing on renewable energy integration, advanced materials, and aquaculture monitoring. Current projects include small-scale green hydrogen systems for agriculture and machine learning-based food drying prediction. He supervises PhD students in areas like microscale morphological changes during drying. Awards: QUT Outstanding Doctoral Thesis Award (2017) Senior Fellow of the Higher Education Academy (SFHEA) Professional Memberships: Australasian Fluid Mechanics Society (AFMS) Australasian Association of Engineering Education (AAEE) Dr Rathnayaka’s work bridges computational modeling and real-world applications, with contributions to peer learning as Co-Editor of the Journal of Peer Learning and Guest Editor for Journal of Visualised Experiments (JoVE) .

Loai Albarqouniمشاهده پروفایل

استادیار

• Clinical Epidemiology
• Evidence Synthesis
• Shared Decision Making
• +۵ مورد دیگر

Dr. Loai Albarqouni is an NHMRC Emerging Leader Fellow and Assistant Professor at Bond University's Faculty of Health Sciences & Medicine, affiliated with the Institute for Evidence-Based Healthcare. He holds an MD from Al-Quds University, an MSc in Clinical Epidemiology from Ludwig Maximilian University of Munich, and a PhD in Evidence-Based Practice from Bond University. His research focuses on evidence-informed decision-making, non-drug interventions, and addressing overdiagnosis and overuse of healthcare services in limited-resource settings. Dr. Albarqouni's expertise spans clinical epidemiology, evidence synthesis, shared decision-making frameworks, and public health strategies. He has contributed to studies on dietary interventions for mental health, generative AI in evidence synthesis, and optimizing healthcare delivery post-pandemic. His work emphasizes improving healthcare efficiency and reducing low-value medical practices globally. Key scientific contributions include systematic reviews on salt substitution for cardiovascular outcomes, Mediterranean diet efficacy, and barriers to non-drug interventions in primary care. He has also explored the impact of timing for meals and fasting strategies on metabolic health. Awarded the NHMRC Emerging Leader Fellowship, his research aligns with UN Sustainable Development Goals related to health equity and quality education. Dr. Albarqouni actively participates in academic activities like organizing systematic review workshops and collaborates internationally on evidence-based practice initiatives.

Hayley O'Neillمشاهده پروفایل

استادیار

• Intermittent Fasting
• Obesity
• Insulin Resistance
• +۵ مورد دیگر

Dr. Hayley O'Neill is an Assistant Professor at the Faculty of Health Sciences & Medicine , Bond University (Gold Coast, Australia). Her research focuses on intermittent fasting , metabolic surgery , obesity , and insulin resistance , with a strong emphasis on evidence synthesis and nutrition for optimizing health outcomes. She holds a Doctor of Philosophy (Medicine) from the University of Melbourne and a Bachelor of Science (Biomedical Science) (Honours) from Deakin University. Her recent work includes publications in The Conversation and BMJ Evidence-Based Medicine , addressing topics such as weight loss strategies , brain health , and systematic reviews of dietary interventions. Her research collaborations span institutions and disciplines, with a focus on metabolic and bariatric surgery , generative AI in evidence synthesis, and infant nutrition . She actively engages in public education through media commentary and invited talks.

• Cybersecurity
• Biometrics
• Artificial Intelligence
• +۴ مورد دیگر

Lin Li is a Lecturer in IT (Cybersecurity) at the Faculty of Science and Engineering, Southern Cross University. Previously, he served as a Research Fellow at RMIT University's Enterprise AI and Data Analytics hub. He holds a PhD in Computer Science from Swinburne University and an MSc from the University of Melbourne. His research focuses on cybersecurity, particularly physiological signal-based biometrics (e.g., PPG methods), AI-driven security analysis, software vulnerability detection, and the integration of large language models (LLMs) with cybersecurity frameworks. His work has been recognized in top-tier venues across Computer Security and Machine Learning. Teaching responsibilities include courses such as Blockchain Technology and Applications, Computer Forensics, and Programming Fundamentals. He advocates for interdisciplinary approaches to address real-world security challenges, emphasizing both technical innovation and ethical considerations. Education: PhD, Swinburne University (2021–2024); MSc, University of Melbourne (2019–2020); BSc, Central South University (2014–2018) Research Highlights: PPG-based authentication systems, AI for threat mitigation, LLM applications in cybersecurity Professional Affiliations: Southern Cross University, Faculty of Science and Engineering His publications span environmental science and technology, reflecting a broader interest in interdisciplinary solutions to global challenges such as water resource management and sustainable development. Awards and grants are not explicitly listed in the provided materials.

• Exercise Physiology
• Masters Athletes
• Martial Arts
• +۴ مورد دیگر

Luke Del Vecchio is a Lecturer in Human Sciences at the Faculty of Health, Southern Cross University. He holds qualifications including a PhD (CQU), MExSc (ECU), and multiple graduate diplomas in exercise science and diabetes education. With 17+ years of experience, his expertise spans health, exercise science, and evidenced-based practice in diverse educational settings. His research focuses on combat sports physiology, strength and conditioning, and aging populations' participation in martial arts. Key areas include functional fitness in older adults, musculoskeletal profiling of combat athletes, and optimizing resistance training for masters athletes. Del Vecchio has received the prestigious Jalarde Award (2025) from Circolo Culturale Giulio Ricci. His work bridges practical training methodologies with academic rigor, addressing injury prevention and performance optimization in sports like Taekwondo, cycling, and boxing. He is affiliated with the Human Sciences department and actively contributes to Southern Cross University's research initiatives in health sciences. His publications emphasize evidence-based approaches to strength training, concurrent training modalities, and physiological adaptations in aging athletes.

Andrew Townshendمشاهده پروفایل

مدرس ارشد

• Distance Running
• Pacing Strategies
• Interval Training
• +۳ مورد دیگر

Dr Andrew Townshend is a Senior Lecturer and Head of Discipline (Exercise Science) at the School of Behavioural and Health Sciences, Australian Catholic University (ACU). He holds expertise in distance running, pacing strategies, interval training, and gait retraining. His research focuses on optimizing athletic performance through physiological and biomechanical analysis, with recent work on energy cost in runners, interval training variability, and elite adolescent athlete development. Education: Completed a Bachelor of Applied Science (Human Movement) at Queensland University of Technology (QUT) in 2006, followed by a PhD in 2010 examining hill-running pacing strategies. Professional roles include Head of Discipline since 2020 and Senior Lecturer since 2018. Research Interests: Combines field-based and laboratory studies to explore pacing strategies, gait mechanics, and training methodologies. Key areas include the impact of gait retraining on energy efficiency, individual responses to interval training, and seasonal adaptations in elite athletes. Awards: Recognized with the Australian Postgraduate Industry Award (2006), Australian Postgraduate Award (2008), and QUT’s Vice-Chancellor’s Performance Award (2011). Advising & Grants: Supervised seven postgraduate students to completion, focusing on high-performance sport topics. Active in grant applications related to sports performance research. Labs/Teams: Leads research within ACU’s Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, collaborating on projects related to athlete development and performance optimization.

Suzanna Russellمشاهده پروفایل

پژوهشگر ارشد

• Mental/Cognitive Fatigue
• Cognitive Performance
• Athlete and Staff Well-being
• +۳ مورد دیگر

Dr. Suzanna Russell is a Research Fellow at the Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University. Her work focuses on mental fatigue, cognitive performance, and athlete/staff well-being in elite sports. She holds an accredited Sports Scientist (ESSA) certification and has collaborated with organizations like the Australian Institute of Sport and Queensland Academy of Sport. She completed her PhD on 'Mental Fatigue in Elite Sport' at the University of Queensland in 2020. Education: PhD in Sport Science (University of Queensland, 2020) Bachelor of Exercise and Sports Science (Hons I), University of Queensland (2016) Research Interests: Dr. Russell investigates mental fatigue's impact on elite athletes, recovery strategies, cognitive performance, and athlete well-being. She emphasizes evidence-based practices and collaborative partnerships for applied research impact. Awards: ESSA Medal (Highly Commended, 2021) Young Investigator Award Finalist (ESSA, 2020) University Medal (UQ, 2016) Advising & Grants: Supervisor (Provisional HDR accreditation) Lead researcher in projects funded by AIS ($244k), QAS ($152k), and ACU ($9.9k) Labs/Teams: SPRINT Research Centre, collaborating with national sports bodies (AIS, QAS) and international experts in sports science.

Larry Huمشاهده پروفایل

استادیار

• Sustainable Construction
• Construction Project Management
• Smart Construction Technologies
• +۳ مورد دیگر

Dr. Larry Hu is an Assistant Professor in the Department of Building and Construction Management at the School of Design and Built Environment, University of Canberra. His expertise lies in Sustainable Construction, Construction Project Management, and Smart Technologies. Previously, he taught at institutions including Deakin University, Edith Cowan University, and the University of Melbourne. He leads four major research projects, including environmental sustainability education programs and studies on skill shortages in construction sectors. His research focuses on optimizing construction processes through methodologies like Data Envelopment Analysis (DEA) and BIM technology. Key contributions include enhancing sustainability, reducing costs, and improving safety in construction projects. He holds certifications as a First-Class Constructor and Investment Project Management Professional in China, with 8 years of industry experience in roles such as construction management engineer and project consultant. Dr. Hu’s work aligns with UN Sustainable Development Goals, emphasizing cost reduction, carbon reduction, and value creation. His publications span journals like Buildings and Sustainability , covering topics from thermal comfort in urban buildings to smart city development. He actively contributes to academic governance as an editorial board member of Scientific Reports and Journal of Civil Engineering and Construction . Grants & Projects: Includes ACT Government-funded initiatives for digital building hubs and NSW government sustainability education programs. Professional Roles: Member of AUBEA, Australian Institute of Building (AIB), and topical advisory panels for Journal of Sustainability and Journal of Buildings .

• Climate Change
• Agricultural Sustainability
• Water Resource Management
• +۳ مورد دیگر

Dr. Kathryn Reardon-Smith is a Senior Lecturer at the University of Southern Queensland, affiliated with the School of Agriculture and Environmental Science. She holds a PhD from USQ and has expertise in climate change adaptation, sustainable agriculture, and environmental management. Her work focuses on climate-smart agricultural practices, water resource management, ecological resilience, and decision-support systems for farmers. Educational Background: BSc (Hons) in Natural Resources (University of New England), MSc (Deakin University), PhD (University of Southern Queensland). Research Interests: Climate resilience in agriculture, drought impacts, sustainable water use, ecosystem ecology, and policy integration for climate adaptation. Her interdisciplinary approach combines ecological modeling, socio-economic analysis, and participatory methods to address agricultural challenges under climate variability. Recent research highlights include developing frameworks for seasonal climate forecasting in farming decisions, analyzing groundwater thresholds for drought resilience, and evaluating the value of virtual tools for farmer education. She collaborates with industry and government on initiatives such as the Northern Australia Climate Program and the Drought Climate Adaptation Program. Supervision: Principal/Associate Supervisor for over 15 doctoral and master’s students focusing on climate resilience, agricultural systems modeling, and biodiversity conservation. Current projects include climate-smart agriculture in Vietnam and ecosystem responses to fire regimes. Affiliations: Centre for Applied Climate Sciences and Centre for Sustainable Agricultural Systems. Her work bridges academia and practice, emphasizing real-world applications of research to enhance agricultural sustainability and community resilience.

• Machine Learning
• Neurology
• Ecology
• +۳ مورد دیگر

Dr. Shri Rai is a Lecturer in the School of Information Technology at Murdoch University, affiliated with the College of Science, Technology, Engineering and Mathematics. His work bridges machine learning applications in medical diagnostics and ecological conservation, with a focus on spinal cord injury prediction and biodiversity management. Education details are not explicitly provided in the text, but his research spans interdisciplinary areas combining IT with healthcare and environmental science. He has contributed to studies on neurological deterioration prediction using machine learning, post-fire reptile succession, and habitat restoration strategies for endangered species. Key research interests include machine learning for medical imaging (e.g., MRI standardization), ecological succession patterns post-disturbance, and conservation strategies for threatened reptiles. His work often integrates technological solutions with ecological challenges, such as developing algorithms for early disease detection and habitat recovery metrics. Publications highlight a dual focus on clinical medical research (e.g., cervical myelopathy prognosis) and ecological restoration (e.g., post-mining rehabilitation). While no awards are listed, his contributions to interdisciplinary research demonstrate significant academic engagement. Advising and grants information are not detailed in the provided text, but his involvement in collaborative projects like the Canadian Spine Society and Australian conservation programs suggests active participation in academic networks. Rai’s affiliation with Murdoch University’s IT school positions him to advance computational methods for solving complex ecological and healthcare challenges, emphasizing data-driven solutions in both medical and environmental domains.

Diane Proudfootمشاهده پروفایل

دانشیار

• Philosophy and history of Artificial Intelligence
• Turing studies
• Wittgenstein
• +۵ مورد دیگر

Diane Proudfoot is an Honorary Research Associate Professor in the School of Historical and Philosophical Inquiry at the University of Queensland. She is also Associate Professor of Philosophy at the University of Canterbury, New Zealand. She has extensive international academic experience with visiting positions at Massachusetts Institute of Technology, New York University, Georgetown University, and the Swiss Federal Institute of Technology. Her educational background includes degrees from the University of Edinburgh, Dartmouth College, University of California at Berkeley (as a Fulbright-Hays Scholar), and University of Cambridge (as an Andrew Carnegie Scholar). She co-founded the Turing Archive for the History of Computing in 2000 with Jack Copeland, which has received significant recognition including the Encyclopedia Britannica Internet Guide Award for Excellence and the Scientific American Sci/Tech Award. They also received a Marsden Grant from the Royal Society of New Zealand for research into the philosophical foundations of cognitive and computer science. Philosophy and history of Artificial Intelligence Turing studies and historical analysis of computing Wittgenstein's philosophical contributions to cognitive science Philosophy of cognitive science and language Philosophy and psychology of religion Digital metaphysics and theological implications of computing Her recent research focuses on Turing's contributions to AI, anthropomorphism in human-robot interaction, and digital metaphysics. Her publications reveal a consistent pattern of examining the philosophical foundations of computing while bridging historical context with contemporary AI developments. She critically assesses both popular misconceptions about AI and deeper philosophical questions about machine intelligence. Encyclopedia Britannica Internet Guide Award for Excellence Scientific American Sci/Tech Award Marsden Grant from the Royal Society of New Zealand Professor Proudfoot is actively involved in supervision of students and continues to advance research in the philosophy of AI through her work with the Turing Archive. She has secured significant research funding including the Marsden Grant from the Royal Society of New Zealand. Her work on the Turing Archive represents a major contribution to preserving and making accessible primary historical materials on computing history. As co-director of the Turing Archive for the History of Computing (http://www.alanturing.net/index.htm), she leads what is considered the largest web collection of digital facsimiles of original documents by Turing and other pioneers of computing. This digital archive serves as an essential resource for researchers worldwide studying the history and philosophy of computing.

• Materials Science
• Renewable Energy
• Perovskite Solar Cells
• +۱ مورد دیگر

Keqing Huang is a Postdoctoral Fellow at the Australian National University's College of Engineering, specializing in perovskite solar cell research. He investigates high-performance solar cells, flexible perovskite devices, and effects of external stimuli like radiation on device physics. Huang earned his B.S. and M.S. from Central South University and PhD from ANU. His research focuses on enhancing efficiency and stability of perovskite photovoltaics through interface engineering, novel material compositions, and scalable fabrication techniques. Recent work addresses challenges in commercialization, including humidity tolerance during manufacturing and radiation resistance for space applications. Huang's publications demonstrate consistent innovation in device architecture, particularly through interface modification strategies and additive engineering. His work spans fundamental material studies to large-scale module development. Awards include: Excellent Master's Thesis of Hunan Province Excellent Poster Award at The 7th Conference on New Generation Solar Cells He collaborates with research teams at ANU's Engineering Building and contributes to advancing renewable energy technologies through materials innovation.

Youngsoo Jangمشاهده پروفایل

مدرس

• Macroeconomics
• Public Policies
• Family Economics
• +۶ مورد دیگر

Dr. Youngsoo Jang is a Lecturer (equivalent to Assistant Professor) in the School of Economics at The University of Queensland, Australia. His primary affiliations include the School of Economics within the Faculty of Business, Economics and Law. His research focuses on Macroeconomics, Public Policies, Family Economics, and Computational Methods. He explores topics such as credit markets, health insurance, tax policies, labor supply dynamics, and the economic impacts of education policies. Key research trends in his publications include analyzing the macroeconomic implications of public policies (e.g., school closures, tax systems), modeling household decision-making under uncertainty, and advancing computational methods for solving complex economic models. His work bridges theoretical frameworks with quantitative analysis to address real-world policy challenges. Dr. Jang holds no listed scientific awards but has published in high-impact journals such as the International Economic Review , Quantitative Economics , and American Economic Journal: Macroeconomics . He is available for academic supervision and can be contacted via email or his office at the Colin Clark Building, St Lucia campus.