Dr. Mark Watkins is an academic staff member at the University of Sydney's School of Mathematics and Statistics, affiliated with the Computational Algebra Research Group. His research focuses on Number Theory , Algebraic Geometry , and Computational Algebra , with a particular emphasis on elliptic curves, modular forms, and lattice theory. He has contributed to topics ranging from Selmer group distributions to combinatorial game theory in chess. PhD in Mathematics Member of the Computational Algebra Research Group Email: mark.watkins@sydney.edu.au Watkins' recent publications (2010–2022) explore advanced mathematical concepts such as quadratic twists of elliptic curves, spectral proofs of class numbers, and algorithmic chess strategies. His work bridges theoretical mathematics with computational tools, including contributions to the Magma software system for algebraic computations. He has no listed scientific awards but maintains active research collaborations with institutions globally. His research addresses fundamental questions in number theory and algebraic geometry, with applications to cryptography and computational methods.
Dr. Ha Pham is a Lecturer at the University of Technology Sydney (UTS), affiliated with the School of Electrical and Data Engineering under the Faculty of Engineering and Information Technology. He holds a B.Eng., M.Eng., and Ph.D. in Electrical and Electronic Engineering from the Tokyo Institute of Technology (2007–2012). Prior to UTS, he worked as a Research Fellow at the Japan Society for the Promotion of Science (2011–2012) and a Research Scientist at Robert Bosch (2012–2016). His research focuses on high-efficiency, low-cost power electronics for industrial applications, including solar inverters, wireless charging systems, and semiconductor processing. Notable projects include the Zone-Control Induction Heating (ZCIH) system and the development of intelligent hybrid inverters. Dr. Pham has received the 2019 Endeavour Executive Leadership Award and was recognized as an Innovative Engineer by Engineers Australia. He actively participates in academic leadership, including leading the UTS Motorsports Team (2017–2019). His academic service includes peer review for IEEE journals and conferences, such as the IEEE Transactions on Power Electronics and IEEE Energy Conversion Congress . Teaching roles include coordinating the Power Circuit Theory course and tutoring electronics and circuits. His patents include innovations in balancing circuits and wireless EV chargers.
Dr. Janusz Getta is a Senior Lecturer at the School of Computing and Information Technology, University of Wollongong. He earned his doctorate from the University of Technology, Warsaw, and has taught at the University of Kuwait. His research focuses on database systems, optimization techniques, and data stream processing. His research interests include the optimization of query processing in centralized and distributed database systems, automated performance tuning, and the design of systems handling inconsistent information. Dr. Getta leads projects in data processing and mentors graduate students in AI and hybrid data models. His publications emphasize scalable data management solutions. He has secured funding for curriculum redesign and data stream processing projects.
John Le is a Lecturer in Cyber Security at the School of Computing and Information Technology, University of Wollongong, within the Faculty of Engineering and Information Sciences. He obtained his PhD in Cybersecurity from the University of Technology Sydney (2020) and researches cloud security, applied cryptography, and machine learning applications in cybersecurity. He is a member of the Institute of Cybersecurity and Cryptology (iC2). Primary research areas include: Blockchain security and smart contract vulnerabilities Cloud infrastructure protection Adversarial machine learning Cybersecurity education innovations Recent publications focus on AI-enhanced cybersecurity education tools, blockchain oracles, and adversarial attack detection. His methodological work spans graph mining algorithms and lattice-based cryptography, with applications to network security automation. Notable funded projects: ARC Linkage Project: Blockchain-Based Quantum Safe for Secure Digital Medical Passport (2025-2027) Telstra-UOW Hub: LLMSecOps Framework for Pre-Employment Systems (2024-2025)
Associate Professor Ernest Yaw Baafi is affiliated with the School of Civil, Mining and Environmental Engineering at the University of Wollongong. His research focuses on applying computational methods and operations research to mining systems, including geostatistical ore reserve estimation, mine simulation, and logistics optimization. He chairs the International Council of APCOM, representing AusIMM. Current supervision includes projects on underground coal mine logistics and roadway development. Research interests include polymer-based strata reinforcement (e.g., ToughSkin systems), automation in mining, and digital tools for mine planning. He has led over 15 grants since 2006, including projects on alternative mine support materials and roadway development modeling. His work often integrates simulation models (e.g., Flexsim) to address operational constraints and improve productivity in underground coal mines. Professional service includes APCOM chairmanship and AusIMM membership. His publications span 162 outputs, emphasizing numerical modeling, material testing, and process optimization in mining contexts.
Dr. Mengzhu Diao is a Lecturer in the School of Civil, Mining, and Environmental Engineering at the University of Wollongong. She holds a PhD from Griffith University and specializes in structural engineering with a focus on progressive collapse analysis, post-tensioned systems, and steel-concrete composites. Her research addresses collapse prevention, vulnerability assessment, and numerical simulation of structures. She teaches courses like Surveying (CIVL272) and Structural Design 2 (CIVL314), and supervises PhD research on 3D printing in civil engineering. Education: PhD in Structural Engineering, Griffith University Research Interests: Her work centers on structural failure mechanisms, including progressive collapse of RC flat plate systems, post-tensioned joints, and fire-induced collapse. She explores innovative materials like FRP retrofitting and 3D printing applications. Key themes include robustness assessment, dynamic load responses, and reinforcement strategies. Recent Trends in Publications: Dr. Diao’s recent work emphasizes precast concrete systems (e.g., wet/dry connections), post-tensioned slab-column joints, and numerical validation of structural models. Her studies aim to improve collapse resistance through optimized designs and material integration. Teaching & Supervision: Coordinates courses on surveying and structural design. Current supervision includes a PhD project on 3D printing steel technology in civil engineering.
Ritu Gupta is an Associate Professor specializing in optimization and statistical decision science. Her applied research includes sports analytics (AFL forecasting), petroleum resource estimation, and physiological monitoring systems. She develops probabilistic models for risk assessment in energy portfolios and performance analysis in elite sports. Collaborations span sports science (automated rugby tackle detection) and agriculture (elicitor treatments for mango phytochemical enhancement). Industry projects include stochastic field development planning and uncertainty management in oil/gas operations.
Julien Cisonni is a Senior Lecturer in the School of Civil and Mechanical Engineering at Curtin University, part of the Faculty of Science and Engineering. His research focuses on fluid mechanics, biomedical engineering, and aeroacoustics, with particular emphasis on fluid-structure interaction, computational modeling, and respiratory system dynamics. He has contributed to projects like PetaFlow , exploring global computing and communication technologies. His work spans experimental and numerical investigations in areas such as aerodynamic instability, blood flow prediction in vascular stents, and airflow simulation for obstructive sleep apnea. Active in both education and industry-relevant research, he has published extensively in journals like Journal of Fluids and Structures and Medical and Biological Engineering and Computing . Research interests include: Fluid-Structure Interaction (FSI), CFD in biomedical systems, aeroelastic flutter, and aerosol delivery mechanisms. His educational contributions involve enhancing student engagement through preparatory online modules for fluid mechanics labs. Selected projects highlight collaboration across disciplines, such as developing imaging-based frameworks for maxillomandibular advancement surgery and exploring turbulent boundary layer dynamics on compliant panels. His work often bridges fundamental fluid mechanics with applied medical and engineering challenges.
Andrew Johnstone is a Research Fellow at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering, within the Faculty of Engineering and Information Sciences. He holds a PhD from the same university and has been affiliated with the ARC Steel Research Hub since 2016. His research focuses on improving metallic coating uniformity via numerical methods and laboratory studies, with prior work in renewable energy technologies leveraging ocean currents. Education: PhD in Engineering, University of Wollongong, Australia Research Interests: Andrew's expertise spans turbulent flows, ocean engineering, and energy generation. His current projects address unsteady air jet impacts on coating processes, numerical modeling of fluid-structure interactions, and optimizing hydrokinetic turbine performance. He has contributed to advancing energy harvesting from marine currents and improving sacrificial metallic coating techniques for steel products. Funding & Awards: Prioritising Emerging Research Leaders (PERL) Fellowship (2021-2022) Small-Scale Hydrokinetic Turbine Grant (2021) Teaching & Supervision: Andrew has supervised multiple higher-degree research candidates, including projects on computational fluid dynamics, liquid drag-out phenomena, duct-augmented turbines, and unsteady coating jet dynamics. His supervisions span Master of Philosophy and Doctor of Philosophy programs. Labs & Collaborations: His work aligns with the ARC Steel Research Hub, focusing on applying numerical methods and experimental studies to industrial coating challenges. He collaborates with peers in fluid dynamics and materials engineering.
Wenxu Li is a Research Fellow at the School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong. His work focuses on vibration modeling, railway systems analysis, and reliability engineering. He has collaborated on projects involving operational excellence in manufacturing, noise separation techniques, and rail dynamics analysis. His research combines finite element methods with experimental validation to address challenges in mechanical and railway engineering. Research interests include railway infrastructure reliability, vibration-based diagnostics, and material characterization for superconductivity applications. He has contributed to developing measurement models for equipment efficiency and failure data analysis using Weibull distribution models. Published work spans journal articles and conference papers since 2011, covering topics from rail vibration modeling to nanomaterial synthesis. Notable contributions include RAM database development for the railway industry and studies on track decay rate measurement techniques.
Associate Professor Colin Solomon holds a position in Exercise Physiology at the School of Health, University of the Sunshine Coast. He previously held academic roles at the University of California, San Francisco, Queensland University of Technology, and completed postdoctoral training at UCSF and Harvard University. His research focuses on oxygen distribution and utilization during exercise, employing techniques like spirometry, NIRS, and gene expression analysis. He welcomes students across all academic levels. His work spans topics such as asthma physiology, inhalation toxicology, and exercise performance in diverse populations. Education: B.App.Sci.(Hon) from University of Wollongong and PhD in Respiratory Exercise Physiology from University of Queensland. Postdoctoral training in Inhalation Toxicology (UCSF) and Asthma Physiology (Harvard). Research Interests: Systemic and molecular oxygen dynamics during exercise, effects of environmental factors like air pollution, and age/gender variations in exercise responses. Techniques include near-infrared spectrometry and gene expression studies. Publications highlight contributions to human factors in sports performance, exercise physiology methodologies, and oxygen utilization studies. His recent work includes analyzing collision impacts in rugby and multifactorial approaches to ultramarathon physiology. No scientific awards are explicitly mentioned. Advising and supervision opportunities are open for undergraduate to postdoctoral researchers. His lab focuses on integrating physiological and technological approaches to enhance understanding of exercise responses.
Bridget Barber is an Honorary Clinical Research Fellow in the Global and Tropical Health Department at Menzies School of Health Research, Charles Darwin University. Her primary affiliation is with CDU, with significant collaborative ties to Malaysian and Indonesian institutions. She holds a PhD in Tropical Medicine from Charles Darwin University (2013), supervised by Professors Nicholas Anstey and Tsin W. Yeo. Her research focuses on the epidemiology, clinical manifestations, and pathogenesis of malaria caused by Plasmodium knowlesi, vivax, and falciparum species. Key areas include zoonotic malaria transmission dynamics, diagnostic method optimization, and clinical outcomes of emerging malaria strains. Her work contributes to UN Sustainable Development Goal 3 (Good Health) and Goal 17 (Partnerships). Recent studies emphasize genomic analysis of Plasmodium adaptation, improved detection methods for zoonotic strains, and clinical impacts of non-falciparum malaria. Her work has been published in high-impact journals like PLoS Neglected Tropical Diseases and The Lancet Infectious Diseases. Barber has supervised 2 postgraduate theses and collaborates extensively with regional health organizations. Her research teams focus on field-based studies in malaria-endemic regions, particularly in Sabah, Malaysia, and Indonesia.
Dr. Leigh-Ann Woolley is a Research Fellow at the Environmental Research Institute of Charles Darwin University, specializing in wildlife and conservation ecology with a primary focus on Australian tropical savannas. Her work addresses critical conservation challenges including mammal population declines and invasive species impacts, with particular emphasis on feral cat ecology and habitat requirements for threatened species across northern Australia. Dr. Woolley's research program centers on global savanna dynamics and mammal ecology, with specific expertise in understanding how fire management practices, particularly those informed by Indigenous knowledge systems, affect biodiversity outcomes. She has made significant contributions to understanding the ecological drivers behind small mammal declines in northern Australian tropical savannas and the role of tree hollow availability in supporting arboreal mammal populations. Her work consistently integrates Western scientific approaches with Indigenous ecological knowledge to develop practical conservation solutions. Analysis of her publication record reveals a strong research trajectory focused on the intersection of fire ecology, invasive species management, and conservation biology. Her recent work demonstrates how unburnt habitat patches are critical for mammal survival, how tree hollow limitations constrain population recovery, and how Indigenous fire management practices produce measurable conservation benefits. This research has direct applications for biodiversity management in fire-prone Australian landscapes. Though specific scientific awards are not documented in the available materials, Dr. Woolley's research has generated significant public engagement with 17 press/media features across multiple platforms. Her work has been covered by numerous news outlets and shared extensively on social media, reaching substantial audiences through X (formerly Twitter), Facebook, and academic platforms like Mendeley. Dr. Woolley maintains active collaborations with Indigenous ranger groups including Balanggarra Aboriginal Corporation, Dambimangari Aboriginal Corporation, Wilinggin Aboriginal Corporation, and Wunambal Gaambera Aboriginal Corporation. Her cross-cultural research projects employ innovative methodologies such as thermal-imaging drones for wildlife monitoring, particularly for rare species like the Spectacled Hare-wallaby and Black-footed rock wallaby in the Kimberley region of Western Australia. Her field research focuses primarily on Australian tropical savannas, with significant activity in the Kimberley region where she investigates the complex interactions between fire regimes, invasive predators, and native mammal populations. Dr. Woolley's approach combines rigorous scientific methodology with deep respect for Indigenous knowledge systems, creating a powerful framework for addressing conservation challenges in Australia's unique ecosystems.
Szabolcs Lehoczki-Krsjak is a Research Fellow in Rice Breeding and Genetics at Southern Cross Plant Science, Southern Cross University (Faculty of Science and Engineering). He holds a PhD from Hungary (2013), focusing on Fusarium head blight pest management in wheat. His work spans pre-breeding, commercial breeding, and marketable product development for wheat, corn, and sweet corn. His current research emphasizes pigmented rice varieties, particularly black rice adaptation for Northern NSW. Key areas include aerob rice breeding programs, genetic resource characterization, grain pigmentation genetics, and agronomic trait integration to aid farmers. His expertise bridges plant pathology, fungicide application strategies, and mycotoxin management. Key research contributions include studies on Fusarium head blight resistance, fungicide efficacy, and QTL mapping in wheat and maize. He has been recognized with the 2024 Outstanding Contribution to Research Impact award from Southern Cross University. His work combines laboratory and field research, addressing both fundamental genetics and applied agricultural challenges. Collaborative projects likely involve industry partners for crop development and disease management solutions.
Dr. Michael Bewong is a Senior Lecturer in Computing at Charles Sturt University, specializing in Data Science, AI, and Cyber Security. He holds a PhD and BSc (Hons) from the University of South Australia. His roles include teaching database-related subjects and conducting research in data analytics and cyber security. Previously, he worked as a Research Fellow at UniSA, collaborating with Data to Decisions CRC on projects like 'Beat the News' (predictive data mining) and 'Predicting Cyber Security Exploits' (machine learning for vulnerability analysis). Education: PhD in Computing, University of South Australia BSc (Hons) in Computing, University of South Australia Research Interests: Focuses on applying data analytics and machine learning to solve real-world problems in cyber security, agriculture, and health. His work integrates AI-driven solutions for cyber threat detection, privacy-preserving data publication, and smart farming systems. Current projects include analyzing UAV threats to agriculture and developing frameworks for false information detection on social media. Articles Trends: Recent publications emphasize cyber security (e.g., threat hunting, exploit prediction), AI ethics (fairness algorithms), and precision agriculture (UAV threats, data-driven farming). Collaborations span interdisciplinary teams addressing challenges in graph data imputation, federated learning, and privacy techniques like LDP. Awards: Holds 12 prizes (specific names not listed in provided texts). Advising & Grants: No explicit student advisees listed. Collaborations include grants from Data to Decisions CRC and Food Agility Cooperative Centre. Labs/Teams: Affiliated with Data Science and Engineering Research Unit, Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG) at Charles Sturt University.
