Professor Mohammad FARD is a faculty member at RMIT University's School of Engineering, specializing in Mechanical Engineering and Intelligent Systems. He leads research in autonomous vehicles, crash safety, and driver monitoring using AI. His industry experience includes six years at Nissan Technical Centre, focusing on vehicle body design. He holds a PhD from Tohoku University and has collaborated across Engineering, Health, and Science disciplines, achieving international media coverage for work on driver drowsiness and road safety. Research Interests: Autonomous Vehicles Advanced Crash Safety Driver State Monitoring AI in Noise/Vibration Human Factors/Ergonomics Teaching & Projects: Teaches Advanced CAE, Vehicle NVH, and research supervision in areas like crash simulation and vibration control. Current projects include Formula One safety barriers and driver education for autonomous vehicles. Awards & Labs: No awards listed. Active in cross-disciplinary teams and labs addressing automotive innovation and safety.
Dr. Louise Alexander is an Associate Professor in Mental Health Nursing at Deakin University's School of Nursing & Midwifery (Faculty of Health). She holds prior academic roles including Senior Lecturer (ACU, 2018–2023) and Lecturer positions (ACU and Holmesglen Institute). Her research focuses on mental health nursing workforce sustainability, stigma reduction, simulation-based education, and curriculum development. Key interests include nurse resilience, pandemic impacts on healthcare workers, and improving student attitudes towards mental illness. Education: PhD from Deakin University; GCHE qualification Certifications: University of Melbourne's Emerging Leaders & Management Program (2021–2022) Teaching: Leads courses in forensic mental health, therapeutic communication, and health promotion Research Highlights: Recent work examines pandemic trauma among nurses, alcohol consumption trends post-COVID, and leadership's role in workforce retention. Her studies emphasize qualitative methods and integrative reviews to address systemic challenges in mental health nursing education and practice. Awards/Grants: No explicit awards listed; research supported by institutional collaborations. Active in developing transition-to-practice programs and evaluating simulation-based training efficacy. Labs/Teams: Collaborates with interdisciplinary teams on mental health workforce resilience and stigma reduction initiatives. Engages in national and international nursing education networks.
Professor Ernest Foo is a distinguished academic at Griffith University's School of Information and Communication Technology, specializing in cybersecurity with a focus on industrial control systems and cryptographic protocols. With over 15 years of experience in computer networking, he has established himself as a leading expert in SCADA security and smart grid cybersecurity. His research has significant practical applications in critical infrastructure protection, and he has developed hands-on security training programs that have trained professionals from major Australian utilities and government agencies. Professor Foo's educational background includes: Bachelor of Engineering with Honours in Electronic and Computer Engineering from University of Queensland Doctor of Philosophy from Queensland University of Technology Professor Foo's research interests center around secure cryptographic protocols with specific applications in industrial control system security and cyber physical systems. His work spans SCADA security, smart grid protection, wireless sensor network security, and post-quantum cryptography. He has made significant contributions to understanding vulnerabilities in industrial protocols like Modbus and DNP3, and has pioneered the application of process mining and data mining techniques for attack detection in critical infrastructure systems. His research bridges theoretical security concepts with practical implementations in real-world industrial environments. Professor Foo's recent publications demonstrate a clear trajectory toward increasingly sophisticated security frameworks for critical infrastructure. His work shows a progression from foundational SCADA security research to advanced applications of artificial intelligence, machine learning, and formal methods in cybersecurity. A notable trend is the integration of zero trust principles with industrial control systems, alongside growing emphasis on post-quantum cryptographic solutions. His publications span high-impact journals and conferences in cybersecurity, with increasing focus on anomaly detection in cyber-physical systems and the application of graph-based machine learning techniques to network security challenges. Professor Foo's notable scientific achievements include: Best paper award at the 2nd International Cyber Resilience Conference for "Gap analysis of Intrusion Detection in Smart Grids" Professor Foo has secured significant research funding including an ARC Linkage grant with Powerlink Queensland focused on cyber security for electricity sub-stations. He currently leads multiple research projects including Westpac Micro-Credentials in Financial Crime Investigation, Digital Banking Micro-credentials with ANZ, and research on quantum-safe cryptography. As a dedicated educator, he serves as Program Director for multiple cybersecurity programs including the Master of Cyber Security, and has supervised numerous doctoral and masters students. His Cyber Security: Industrial Control System course, conducted annually from 2013-2018, featured innovative hands-on training with real-world participants from major Australian utilities. Professor Foo has been instrumental in establishing the SCADA security research laboratory with multiple vendor system miniatures running industrial PLCs. His work bridges theoretical security concepts with practical implementations, making significant contributions to the security of industrial control systems and critical infrastructure worldwide.
Deborah Richards is a Professor in the School of Computing at Macquarie University, affiliated with the Ethics and Agency Research Centre, Performance and Expertise Research Centre, and Frontier AI Research Centre. She holds roles as Industry and External Relations Director for the School and Director of the Virtual Reality Lab. Her research focuses on Intelligent Virtual Agents, Virtual Reality applications in education and health, knowledge acquisition, and cybersecurity ethics. She has authored over 425 publications and led 19 research projects, including studies on AI in healthcare and ethical AI design. Education: PhD (Artificial Intelligence, Macquarie University), MAppSc (Information Studies), BBus (Computing and MIS), and a Postgraduate Certificate in Higher Education (Leadership and Management). She advises on PhD and MRes students in Intelligent Virtual Agents research. Research interests include virtual agents for health behavior change, AI ethics, and educational technology. Notable projects include the eADVICE web-based management system for urinary incontinence and the development of embodied conversational agents for wellbeing support. Awards include the ABC Science Media Fellowship (2005) and Vice-Chancellor’s Citations for Outstanding Contributions to Student Learning (2017). Grants and collaborations span health informatics, cybersecurity, and AI ethics. She co-leads initiatives like the Respectful Maternity Care study and the Virtual Reality Lab’s immersive learning environments. Future work emphasizes ethical AI integration in education and healthcare.
Professor Guy Wallis is a Professor and Director of Research at the School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also an Affiliate of the Centre for Sensorimotor Performance. His work bridges visual neuroscience, computational modeling, and applied human factors research, with significant contributions to understanding visual recognition and visuomotor behavior. Education: Bachelor (Honours) of Engineering in Electrical and Electronic Engineering from Imperial College London PhD in Visual Neuroscience from University of Oxford, UK Prof. Wallis's research program combines computational modeling with behavioral studies, many conducted in computer-controlled virtual environments. His work spans visual neuroscience, object recognition, visuomotor control, and simulator-based training. He has made significant theoretical contributions to understanding how visual recognition is achieved in biological systems and how everyday visuomotor tasks are regulated, challenging existing paradigms and offering new insights. His recent publications reveal a strong focus on virtual reality applications, visual-motor integration challenges, and cross-species cognitive studies. There's a clear trend toward investigating how virtual environments can be optimized for training and assessment, with particular attention to visual perception limitations and how humans adapt to these environments across diverse contexts from surgical training to aviation. Scientific Awards and Recognitions: Elected Fellow of the Queensland Academy of Arts and Sciences (2022) ARC Medical Research Advisory Group (2022-2024) ARC College of Experts (2019-2021) CSIRO CSS Human Research Ethics Committee member (2020-2022) UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018) ARC Future Fellowship (2011-2014) ARC QEII Fellowship (2003-2007) UQ Postdoctoral Fellowship (2001-2003) Prof. Wallis has successfully secured funding from major organizations including the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust. His industry partnerships span diverse sectors such as construction training, mining, healthcare, and aerospace. His research has led to the development of novel training programs for health professionals, impacted the design of man-machine interfaces for mining equipment, and informed the design parameters for pilot training systems. As Director of Research, he oversees the research direction of the School of Human Movement and Nutrition Sciences, fostering interdisciplinary collaborations and supporting early-career researchers through his leadership in the Centre for Sensorimotor Performance.
Associate Professor Wenhua Zhao is a globally recognized expert in offshore hydrodynamics and renewable energy technologies at The University of Queensland , School of Civil Engineering. With over 110 publications and 30 million AUD in secured research funding, his work bridges theoretical and practical advancements in marine engineering. Research focuses on Clean Energy , Artificial Intelligence , and Climate Change , specifically floating wind energy, floating solar, offshore aquaculture, and green hydrogen production. His 15 most recent articles (2024-2025) emphasize wave-structure interactions, gap resonance dynamics, and AI-driven wave prediction, published in top journals like Journal of Fluid Mechanics and Ocean Engineering . Scientific awards include the prestigious ARC Future Fellowship (2024-2028) and DECRA Fellowship (2019-2022) , recognizing his contributions to academia and industry. He teaches the 'Design of Offshore Energy Systems' course , training hundreds of students in coastal and ocean engineering, and serves as Deputy Editor for Ocean Engineering and Associate Editor for ASME's Journal of OMAE . Available for research supervision, Zhao actively collaborates with editorial boards of Applied Ocean Research and other Q1 journals.
Dr. Zara Ersozlu is a Senior Lecturer in Mathematics Education within the School of Education at the University of Newcastle, Australia. With a distinguished international career spanning multiple continents, she has held academic positions at prestigious institutions including North Carolina State University (USA), Gazi and Gaziosmanpasa Universities (Turkey), National Taiwan Normal University (Taiwan), The University of Western Australia, Murdoch University, and Deakin University. Her academic journey includes tenured positions as an Associate Professor and leadership roles as Department Head and Chair in teacher education disciplines. Currently, she teaches undergraduate and postgraduate courses in mathematics education, including Effective Pedagogies in Primary Mathematics, K-6 Mathematics, K-6 Numeracy, and Digitally Supported Learning. Dr. Ersozlu earned her Doctor of Philosophy from Firat University in Turkey and her Master of Art from Sakarya University. Her extensive academic preparation is complemented by five years of practical teaching experience in public schools prior to entering academia. This blend of theoretical knowledge and practical classroom experience informs her approach to teacher education and educational research. At the broadest level, Dr. Ersozlu's research investigates solutions to real-life problems impacting people's well-being, success, and capacity to achieve. Her scholarly work spans primary and secondary mathematics education, the psychology of mathematics (including metacognition, self-regulation, and anxiety), cross-cultural educational studies, teacher education, virtual simulated learning environments, and educational assessment. She has increasingly focused on the transformative potential of AI and machine learning in education, exploring how these technologies alter teaching, learning, and research processes. Her methodological expertise encompasses both quantitative and qualitative approaches, allowing her to effectively analyze both small and large educational datasets. Analysis of Dr. Ersozlu's recent publications reveals a strong emphasis on mathematics anxiety, teacher education, and the integration of technology in learning environments. Her work demonstrates a consistent focus on practical applications of educational research to address real-world challenges in mathematics education. The interdisciplinary nature of her research connects educational psychology, technology integration, and cross-cultural perspectives, with particular attention to how these elements intersect in teacher preparation and student learning outcomes. 2023 ATEA Research Recognition Award from the Australian Teacher Education Association 2021 Fellow of the Higher Education Academy (Advance HE, UK) 2010 Fellowship Program for Postdoctoral Researchers from the Council of Higher Education of Turkey Dr. Ersozlu is deeply committed to mentoring the next generation of scholars, currently supervising four PhD students and having successfully guided ten students to completion. Her grant portfolio includes significant funding for projects such as Best Practice Guidelines for RPL in Initial Teacher Education Programs ($60,000), Exploring the Reciprocal Relationship Between Mathematics Anxiety and Mathematical Resilience ($2,599), and multiple conference travel awards. She serves as an Associate Editor for several prominent journals including the International Electronic Journal of Mathematics Education and as Editor for Interdisciplinary STEM Education. Her editorial work reflects her standing as a respected voice in mathematics education research. Dr. Ersozlu's academic leadership extends to her role in developing innovative teaching approaches that integrate virtual simulation technology and learning analytics. Her work with TeachLivE™, a mixed-reality classroom simulation platform, demonstrates her commitment to creating authentic learning experiences for teacher education students. Through these initiatives, she bridges the gap between educational theory and classroom practice, preparing future educators to effectively implement evidence-based teaching strategies in diverse learning environments.
Richard DUNCAN is a Professor in Conservation Biology at the University of Canberra's Science School and Department of Centre for Conservation and Ecology Genetics. His research focuses on the ecology of invasive species, particularly understanding how introduced species arrive, establish, and spread in new environments. Key areas include invasive weeds and pests, ecological community structure, and applying quantitative methods to address both fundamental and applied ecological questions. Education: PhD in Forest Ecology, University of Canterbury (1989, award date noted as 2024 in text) Research Interests: His work spans invasive species ecology, population dynamics, and restoration strategies. He employs diverse methods including field experiments, modeling, and genomics, with recent focus on grasslands and aquatic systems. Current projects address amphibian chytrid fungus, carp invasions, and rodent control. Articles Trends: Recent publications emphasize invasive species impacts on ecosystems, pathogen-driven niche contractions, and conservation tools like geospatial modeling and genomic simulations. Themes include species distribution modeling, pest management, and restoration ecology. Awards & Grants: Lead investigator on 35+ projects, including ARC Plant Biosecurity Training Centre and chytrid fungus mitigation efforts Associate Editor for Proceedings of the Royal Society B and Diversity and Distributions Advising: Accepting PhD students in invasive species ecology, with focus on using biological invasions to explore ecological theory and management applications. Labs/Teams: Collaborates widely on conservation genetics, aquatic invasions, and biosecurity, including work with the Biological Heritage Science Challenge and Indigenous Grasslands Trust.
Marita Dale is a Senior Lecturer in the Discipline of Physiotherapy at the University of Sydney and an Early Career Researcher affiliated with the Charles Perkins Centre. She specializes in cardiorespiratory physiotherapy, focusing on exercise interventions for chronic respiratory and cardiac diseases, particularly asbestos-related and dust-related conditions. Her work emphasizes improving accessibility to pulmonary rehabilitation services and leveraging mHealth technologies for patient care. Education: PhD in Physiotherapy (2016, University of Sydney). Her research interests include optimizing pulmonary rehabilitation through mobile health platforms, such as the m-PR™ app, and investigating pediatric burn injury rehabilitation, including orthosis use and scar prevention. She also explores multimorbidity management and simulation-based learning in healthcare education. Recent studies have highlighted her contributions to COPD care protocols, telehealth implementation during the pandemic, and qualitative analyses of patient experiences. Major awards: Sydney School of Health Sciences Teaching Citation (2022), Ashurst Prize for Outstanding Oral Presentation (2015), Helga Pettitt FHS Postgraduate Study Award (2010). Marita supervises Honours, Masters, and PhD students, including Mitchell Taylor on airway clearance in bronchiectasis. Her teaching spans undergraduate and postgraduate programs in cardiopulmonary and musculoskeletal physiotherapy. She collaborates on projects like the Lung Support Service, a nationwide text message program for chronic respiratory patients during the pandemic, and contributed to the commercialization of the Perx-R app for pulmonary rehab. Labs/teams: Active member of the Charles Perkins Centre, focusing on interdisciplinary chronic disease research and healthcare innovation.
Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.
David Burton is a Senior Lecturer in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. He leads the Monash Wind Tunnel Research Platform (MWTRP), a major research facility supporting experimental and applied aerodynamics research across multiple industries. Research Interests: His expertise lies in experimental fluid dynamics, with a focus on wind engineering, industrial aerodynamics, and aero-acoustics. Key areas include building, vehicle, and sports aerodynamics, flow control, and the impact of wind storms and cyclones. He integrates experimental testing with numerical simulation, particularly in complex bluff body flows and sustainable engineering design. The recent publication trends reflect a strong emphasis on postcritical flow over rough and multiple cylinders, aerodynamic modeling in sports (especially cycling), and real-world applications such as freight train aerodynamics and cyclone resilience. His work combines rigorous experimentation with practical engineering solutions. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: David Burton is accepting PhD students and actively supervises research projects. He has served as Primary Chief Investigator on significant research grants, including 'Wind and Water Loading of Flags in Cyclones' (2021–2022) and 'Wind Comfort Simulation and New Engineering Design Process' (2022–2023), demonstrating sustained external funding and project leadership. Labs and Teams: He manages the Monash Wind Tunnel Research Platform (MWTRP), an ISO9001-accredited facility featuring the largest wind tunnel of its type in the Southern Hemisphere. The platform includes CNC machining, rapid prototyping, and a multidisciplinary team of postgraduate students, designers, technical officers, and postdoctoral researchers, supporting collaborations across automotive, defense, construction, UAVs, wind energy, and sports sectors.
Hongtao Zhu is an Associate Professor at the University of Wollongong (UOW), Australia, affiliated with the School of Mechanical, Materials, Mechatronic and Biomedical Engineering. He holds a PhD from Northeastern University (China) and has held academic positions at UOW since 2002, progressing from Research Fellow (2002–2013) to Senior Lecturer/Lecturer (2013–2022) before becoming an Associate Professor in 2022. His research focuses on Contact Mechanics , Tribology , Advanced Manufacturing , and Computational Material Science . Notable contributions include studies on rail-wheel contact systems, high-entropy alloys, and friction reduction in manufacturing processes. He has authored/co-authored over 230 publications with an H-index of 38 (Scopus) and secured $2.2M in industry grants. Zhu leads the 'Wheel and Rail Contact System' research group, collaborating with major railway industries. He has supervised 22 PhD students (6 as principal supervisor) and currently oversees 5 PhD candidates. His professional roles include editorial board memberships for journals like Advances in Materials Science and Engineering and service as an assessor for funding bodies in Australia, Chile, Poland, and the Czech Republic. Key achievements include securing 5 ARC Discovery Projects, 3 ARC Linkage Projects, and industry collaborations with organizations like Sydney Trains and Comsteel. His work addresses critical challenges in rail infrastructure durability, material optimization, and sustainable manufacturing.
Ying-Yi Chih is a Professor of Project Management at the Research School of Management, Australian National University (ANU) , and serves as the Associate Dean (Students and Industry Experience) for the College of Business and Economics. Her research focuses on project management, public-private partnerships (PPPs), value co-creation in projects, and employee well-being in project-based environments like the construction industry. She has published extensively in journals such as International Journal of Project Management and Journal of Construction Engineering and Management , with funding from government and industry sources. Education: PhD in Project Management Research Interests include: Infrastructure Project Planning and Management Public-Private Partnerships (PPPs) Value Co-Creation in Professional Services Employee Psychological Well-being and Performance Management Recent Publications highlight trends in green innovation, crisis resilience, leadership dynamics, and technology adoption in construction and project management. Her work bridges theoretical frameworks with practical applications in the AEC (Architecture, Engineering, Construction) industry and public sector projects. Editorial Roles: Associate Editor for Journal of Management in Engineering and Editorial Board member for Journal of Vocational Behavior . Research Projects have explored value co-creation, international development projects, and performance management in multi-project environments, with collaborations across Australia, Taiwan, Vietnam, and the Philippines.
Dr. Matthew Jones is a Senior Lecturer in Criminology at Swinburne University of Technology’s School of Social Sciences, Media, Film and Education. With a career spanning institutions in the UK and Australia, Matthew’s research bridges interdisciplinary domains including policing, sociology, law, and organizational studies. He is a Senior Fellow of the Higher Education Academy, emphasizing evidence-informed pedagogy and curriculum innovation. Affiliation: Swinburne University of Technology (2022–Present) Previous Roles: The Open University (2017–2022), Northumbria University (2014–2017), Cardiff Metropolitan University (2013–2014). Research Themes: Matthew’s work focuses on three core areas: Policing: Police visibility, digital strategies, occupational culture, diversity, and leadership. LGBTQI+ Criminology: Workplace discrimination, hate crimes, community-police relations, and victimology. Digital Criminology: Technology’s role in policing, crime prevention, and digital victim support systems. Publications: His 15 most recent articles highlight evolving trends in digital policing, police visibility, academic standards in policing education, and LGBTQI+ workplace experiences. These works span qualitative studies, policy analysis, and interdisciplinary collaborations, reflecting his commitment to visual criminology and semiotics. Scientific Awards: Senior Fellow of the Higher Education Academy (2022) Fellow of the Higher Education Academy (2013) Professional Activities: Matthew served as Chair (2019–2022) and Board Member (2013–2019) of the British Society of Criminology’s Policing Network. He led curriculum development for police apprenticeships (2017–2019) and contributed to the first UK Subject Benchmark Statement for Policing (2022). He supervises PhD students on topics like community policing, child maltreatment resilience, and crime drama narratives. Education: He holds an LLB in Law, an MSc in Social Science Research Methods, a PhD in Socio-Legal Studies, a PGCert in Higher Education pedagogy, and an MBA in Leadership Practice.
Christopher Ferrie is an Associate Professor at the University of Technology Sydney (UTS), where he is affiliated with the Faculty of Engineering and Information Technology and the Centre for Quantum Software and Information (QSI). His academic career spans quantum information science, machine learning, and scientific education, with a strong emphasis on both theoretical research and public engagement through science communication. Full-time faculty member at UTS Active researcher in quantum information science Director of the Centre for Quantum Software and Information Author of numerous scientific publications and popular science books Dr. Ferrie earned his PhD in Applied Mathematics from the Institute for Quantum Computing and University of Waterloo in Canada in 2012. His doctoral work focused on quantum information and laid the foundation for his subsequent research career in quantum computing and related fields. Dr. Ferrie's research interests span several interconnected domains within quantum information science. His primary focus is on quantum estimation and control, with particular emphasis on applying machine learning techniques to solve statistical problems in quantum information science. He investigates how quantum systems can be characterized, controlled, and optimized for practical applications. His work bridges theoretical quantum physics with practical implementations, exploring how quantum phenomena can be harnessed for computational advantage. Recent research directions include quantum machine learning, quantum neural networks, and quantum optimization algorithms, with applications ranging from quantum state tomography to solving combinatorial optimization problems. Analysis of Dr. Ferrie's recent publications reveals a strong focus on practical quantum computing challenges. His work consistently addresses the intersection of quantum information theory and machine learning, with particular emphasis on making quantum algorithms more efficient, interpretable, and robust against noise. A significant portion of his recent research explores variational quantum algorithms and their optimization, reflecting the current priorities in near-term quantum computing. His publications also demonstrate growing interest in quantum machine learning applications and the development of techniques for quantum error mitigation and characterization. Dr. Ferrie has secured multiple research grants supporting his work in quantum computing and related fields. His funded projects span quantum control, quantum probability, quantum machine learning, and statistical decision theory, reflecting the breadth of his research program. While specific major awards aren't detailed in the available information, his sustained funding and publication record indicate significant recognition within the quantum information science community. Dr. Ferrie is actively involved in research supervision and teaching, with current funding supporting multiple PhD students and postdoctoral researchers. His teaching responsibilities include courses on quantum computing, where he introduces students to the fundamentals of quantum information processing. His research group at the Centre for Quantum Software and Information focuses on developing novel quantum algorithms and exploring the practical implementation challenges of quantum computing. The Centre for Quantum Software and Information at UTS serves as the primary research environment for Dr. Ferrie's work. This center brings together researchers working on various aspects of quantum computing, from hardware development to algorithm design and applications. Dr. Ferrie's team within the center focuses specifically on quantum software development, quantum algorithm design, and the application of machine learning techniques to quantum information problems. The collaborative environment enables interdisciplinary research that bridges theoretical quantum physics with practical computing applications.
