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Dr. Wade Smith is a Senior Lecturer within the School of Mechanical and Manufacturing Engineering at the University of New South Wales. He is an active member of the WAVES research group (Wear, Aeroacoustics and Vibration in Engineering Systems) and conducts his research in the Tribology and Machine Condition Monitoring laboratory. His primary research interests include vibration-based diagnostics of rotating machinery, prognostics of rotating machinery, gear wear monitoring and prediction, simulation and modeling of rotating machines for diagnostic applications, and signal processing of machine vibration signatures using cyclostationarity. His work has significant applications in industrial machinery health monitoring and predictive maintenance systems. Dr. Smith's recent publications demonstrate a consistent focus on advanced diagnostic techniques for rotating machinery, with particular emphasis on gear systems and bearings. His research integrates traditional mechanical engineering principles with modern signal processing and machine learning approaches to develop more effective condition monitoring solutions. He actively supervises PhD and Masters students on projects related to gear diagnostics, wear monitoring, and vibration analysis. His current research projects include gear diagnostics in planetary gearboxes using internal sensors, gear wear monitoring and prediction, sliding contact-induced vibration studies, and transmission-error-based gear diagnostics. Dr. Smith's laboratory is equipped with specialized facilities including gearbox test rigs (both planetary and parallel configurations), a rolling element bearing test rig, an engine test rig, friction rig, tribometer, high-quality microscope, and extensive instrumentation for vibration analysis. His research has attracted collaborations with institutions including Queensland University of Technology, SpectraQuest (USA), Weir Minerals, University of Technology Sydney, RWTH Aachen University (Germany), and Safran.

• Dynamics, vibration and vibration control
• Signal processing
• Modelling and simulation
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Dr. Erica Garcia is a Senior Lecturer in Environmental Science at Charles Darwin University’s Faculty of Science and Technology, specializing in aquatic ecology. She leads research on river, wetland, and groundwater ecosystems, focusing on food web dynamics and biodiversity in changing environments. Her current projects include citizen science initiatives for groundwater security and wetland condition assessments. Dr. Garcia holds a PhD from Michigan State University (2006) and a B.A. from the University of California, Berkeley (1999). She teaches courses in ecology and resource management and collaborates on interdisciplinary projects addressing water sustainability in Northern Australia. Her research spans observational, experimental, and molecular methods to understand ecosystem processes. Education: PhD in Zoology/Ecology, Evolutionary Biology and Behavior, Michigan State University (2000–2006) Bachelor of Science in Integrative Biology, University of California, Berkeley (1995–1999) Research Interests: Dr. Garcia’s work emphasizes freshwater ecosystems, including food web interactions, groundwater ecology, and the impacts of human activities on riverine systems. She employs eDNA, isotopic analysis, and remote sensing to assess ecosystem health and biodiversity. Current projects investigate groundwater resources and citizen science approaches to environmental monitoring. Grants & Projects: Co-lead on the Northern Australian Community Groundwater Security Project (citizen science) Principal Investigator for the Adelaide River Aquatic Ecosystem Mapping project (2023–2024) Collaborator on the Water Security for Northern Australia Program (2023–2026) Labs/Teams: She is affiliated with the Research Institute for the Environment and Livelihoods at CDU and collaborates with international networks on global river ecology and climate change impacts.

• Aquatic Ecology
• Wetland Ecology and Management
• Food Web Ecology
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Associate Professor Paola Leardini holds dual roles as Director (Research) and Associate Professor at the University of Queensland's School of Architecture, Design and Planning, within the Faculty of Engineering, Architecture and Information Technology. Her work bridges design and performance in built environments, focusing on net-zero targets, urban resilience, and circular economy strategies in construction. She is a key researcher in the Centre for Future Building Structures and advises on Queensland’s social/affordable housing through the Design Excellence Panel. Leardini earned a PhD in building energy efficiency and environmental quality from Politecnico di Milano, supervised by Prof. P. Ole Fanger. Her educational journey includes studies in Milan, Berlin, Leicester, and Copenhagen. Research highlights include eco-retrofitting of historical districts (e.g., Milan’s Quartiere Mazzini), Passive House adaptations for subtropical climates, and timber construction innovations with the ARC Advance Timber Hub. She co-founded Passive House Institute New Zealand (PHINZ) and collaborates globally on projects like water-sensitive cities and flood-resilient urban design. Her recent publications emphasize timber’s role in sustainable construction, circular economy frameworks, and climate-responsive building systems. Advising includes leading an ARC Linkage project on adaptable housing while fostering industry partnerships through projects like Norman Creek Catchment flood resilience studies. She actively contributes to labs/teams advancing timber use and urban resilience, aligning with UQ's mission for future-ready built environments.

• Sustainable Architecture
• Building Energy Efficiency
• Urban Resilience
• +7 more

John Bell is a Professor and Deputy Vice-Chancellor (Research and Innovation) at the University of Southern Queensland (UniSQ), based at the Springfield Campus. He holds a BSc from the University of Sydney and a PhD from the University of New South Wales (UNSW). His leadership role involves overseeing research strategy and innovation initiatives across the institution. Bell's research spans advanced materials and energy technologies, with expertise in: Nanomaterials synthesis and characterization Renewable energy generation/storage (photovoltaics, batteries) Functional polymers and composite materials Semiconductor device engineering Smart building technologies His recent publications (2022-2025) demonstrate a strong focus on sustainable energy solutions, particularly next-generation batteries, solar cells, electrochromic devices, and nanotechnology-enabled sensors. Over 80% of his recent work addresses materials innovation for decarbonization and energy efficiency.

• Materials Engineering
• Nanomaterials
• Energy Storage
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Professor Trevor Lithgow is a Research Professor in Microbiology at Monash University, affiliated with the Monash Biomedicine Discovery Institute. He holds a PhD from La Trobe University (1992) and has held fellowships including the ARC Federation Fellowship (2008) and ARC Laureate Fellowship (2014). His research focuses on bacterial cell biology, antimicrobial resistance (AMR), and phage therapies, leveraging nanoscale imaging techniques like cryo-EM and super-resolution microscopy. He leads the Monash Centre to Impact AMR, an interdisciplinary initiative addressing global AMR challenges through collaborations across engineering, social sciences, and clinical medicine. Key achievements include the HFSP Tenth Anniversary Award (1999), Lemberg Medal (2020), and Royal Society of Victoria Medal (2017). His work on bacterial outer membrane assembly, phage-bacteria interactions, and structural analysis of the mitochondrial TOM complex has advanced understanding of pathogen resilience and novel antimicrobial strategies. Current projects include developing phage therapies and cross-sectoral AMR surveillance frameworks. Education: PhD in Biochemistry (La Trobe University, 1992) Research Interests: Bacterial cell surface visualization, nanoscale imaging, phage biology, AMR mechanisms Leadership: Director of Monash Centre to Impact AMR since 2020 Awards: 10+ national/international honors, including ARC Fellowships Publications span over 250 articles on bacterial membrane biology, AMR dynamics, and phage applications, with recent focus on polymyxin dependence in Acinetobacter and phage-driven resistance resensitization.

• Antimicrobial Resistance
• Bacterial Cell Biology
• Membrane Biochemistry
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Professor Chris Greening is a Research Professor in the Department of Microbiology at Monash University, leading the One Health Microbiology group at the Biomedicine Discovery Institute. He holds a first-class degree in Molecular and Cellular Biochemistry from the University of Oxford (2010) and a PhD from the University of Otago (2013). His career includes postdoctoral roles at Otago, CSIRO, and the Australian National University, followed by appointments as a group leader in Monash’s School of Biological Sciences (2016) and a medically-focused NHMRC EL2 Fellow in the Department of Microbiology (2020). Research Focus: Bacterial persistence mechanisms, microbial metabolism, antimicrobial resistance (AMR), and One Health approaches linking environmental, clinical, and public health challenges. Awards: Fenner Medal (2022) and Jim Pittard Award (2019). Key Projects: RISE, Global Research Alliance on Agricultural GHGs, SAEF, and the ARC Carbon Utilisation Hub. Leads Monash’s AMR R&D Facility. Research spans metabolic pathways enabling bacterial survival in extreme conditions (e.g., hydrogen oxidation, F420 cofactor roles), climate impacts (greenhouse gas regulation), and translational programs addressing diarrheal diseases and AMR. Grants: ARC DECRA Fellowship, NHMRC EL2 Fellowship. Cross-disciplinary collaborations with engineers, ecologists, social scientists, and industry. Lab facilities include advanced microbiology, structural biology, and systems biology tools. Contributions align with UN SDGs: climate action (SDG13), good health (SDG3), and sustainable cities (SDG11).

• Microbial Metabolism
• Antimicrobial Resistance
• Environmental Microbiology
• +5 more

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +5 more

Dr. Farshid Rahmani is a Lecturer at the School of Property, Construction and Project Management (PCPM), RMIT University, Australia. His research and teaching focus on Construction Procurement , Relational Contracting , and Agile Project Management . He supervises Masters and PhD students in areas including Early Contractor Involvement (ECI) Alliances Public-Private Partnerships (PPP) Collaborative Delivery Systems . His recent publications explore agile frameworks for building adaptation, sustainable materials like recycled concrete, and team dynamics in large infrastructure projects. Key themes include modular construction , project lifecycle management , and innovative material usage . He actively applies Grounded Theory and Abductive Reasoning in construction management research.

• Construction Procurement
• Relational Contracting
• Project Management Methodologies
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Chee-Ming Ting is an Associate Professor in the School of Information Technology at Monash University Malaysia. His expertise lies in machine learning, data science, and biomedical engineering, with a focus on signal processing, computational neuroimaging, and computer-aided detection. Previously, he held positions at King Abdullah University of Science and Technology (Research Scientist) and Universiti Teknologi Malaysia (Senior Lecturer). He has authored over 26 journal papers and 43 conference papers, and has secured research grants totaling RM2.5 million as PI/Co-PI. Education: PhD in Mathematics - Statistics, Master of Engineering in Electrical Engineering, and Bachelor of Engineering (Hons.) in Electrical & Electronics Engineering. Research interests include biomedical signal/image analysis, deep learning, spatio-temporal modeling, and neuroimaging applications for disease prediction and patient monitoring. He has supervised 9 graduate students (4 PhD, 5 Masters) and currently oversees 10 PhD candidates. Awards include the IEEE Signal Processing Society Malaysia's Research Excellence Award (2019, 2022) and several national/international innovation awards. His work contributes to UN Sustainable Development Goals related to health and technological advancement. Key projects include frameworks for neurological disease prediction using brain networks and generative adversarial networks for medical imaging enhancement.

• Biomedical signal and image analysis
• Deep learning
• Computational statistics
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Dr. Andy Nguyen is a Senior Lecturer in the School of Engineering at the University of Southern Queensland. He holds a PhD from Queensland University of Technology (QUT), an MEng from the National University of Civil Engineering (NUCE), and a BEng from NUCE. His research focuses on structural health monitoring, integrating machine learning and deep learning techniques to assess infrastructure integrity. Key areas include damage detection in bridges, pavements, and buildings, as well as sustainable construction materials like bamboo. Nguyen leads projects such as the 'Next Generation Living Laboratory for Engineering Education and Engagement,' emphasizing real-world applications of technology in civil infrastructure. His work spans crack detection algorithms, finite element model updating, and vibration-based structural analysis. He collaborates on AI-driven solutions for autonomous vehicle object detection and smart maintenance planning. Nguyen’s contributions include over 50 peer-reviewed publications and active supervision of postgraduate research in composite materials and transport infrastructure. His research outputs highlight advancements in computational mechanics, sensor technologies, and data-driven methods for infrastructure resilience. Nguyen’s expertise bridges civil engineering challenges with cutting-edge machine learning, advancing both theoretical and applied solutions for sustainable and safe structures.

• Structural Engineering
• Structural Health Monitoring
• Civil Engineering
• +3 more

Summary Associate Professor Mehrdad Arashpour is an internationally recognized researcher and educator in construction and civil infrastructure, focusing on automation and information technologies. He leads the ASCII Lab at Monash University's Department of Civil and Environmental Engineering. His academic roles include Head of Construction Engineering and membership in the CIB's Working Commission on Off-site Construction (W121) and Infrastructure Task Group (TG91). Education: Ph.D., RMIT University, Australia M.Sc., Grenoble University, France B.Sc., IU University, Iran Research Interests: Digital twins, computer vision, robotics, BIM integration, sustainable construction, and automation in construction processes. His work contributes to UN Sustainable Development Goals, particularly in sustainable cities and communities. Grants & Awards: Over $6M in grants from ARC, Austroads, and industry partnerships. Recognitions include Editor's Choice Paper (ASCE, 2019) and Outstanding Reviewer (Elsevier, 2016). Teaching: Courses like Risk Management in Engineering Projects and Infrastructure Research Project. Advises on PhD topics in computer vision, robotics, and BIM. Labs & Collaborations: ASCII Lab focuses on smart, sustainable solutions for construction. Collaborates with global researchers and organizations like SPARC Hub and Building 4.0 CRC.

• Automation and Robotics
• Computer Vision
• Deep Learning
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Cormac Fay is a Research Fellow in Artificial Intelligence for Smart Cities at the School of Computing and Information Technology (SCIT), University of Wollongong, within the Faculty of Engineering and Information Sciences. His roles include affiliations with the SMART Infrastructure Facility and the ARC Centre of Excellence for Electromaterials Science. Previously, he held positions at Dublin City University, including post-doctoral roles in sensor research and data analytics. He holds a PhD in Engineering from Dublin City University (2013), an M.Eng. in Telecommunications Engineering (2007), and a B.Eng. in Mechatronic Engineering (2005). His research focuses on AI-driven smart city technologies, sensor systems for environmental monitoring, and advanced 3D printing materials. Key areas include IoT-enabled carbon-emission tracking, wearable biomedical devices, and sustainable sensor networks for landfill gas management. He has developed innovative solutions such as cryogenic 3D printing techniques for biocompatible inks and LED-based optical sensing platforms. Dr. Fay has secured grants totaling over $X million, including projects on military diver monitoring, blue carbon ecosystems, and low-cost sensor networks for agriculture and environmental safety. His work integrates interdisciplinary approaches, bridging materials science, biomedical engineering, and environmental engineering. Grants: Led projects on carbon-emission IoT systems, oyster farming sensors, and vibration monitoring. Supervision: Advised a Master's project on biomimetic microfluidic fabrication (2017–2019). Labs/Teams: Collaborates with the SCIT, SMART Infrastructure Facility, and global institutions like École Polytechnique Fédérale de Lausanne.

• Artificial Intelligence
• Smart Cities
• Sensor Technology
• +5 more

Dr. Haoran Zuo is a Research Fellow and ARC DECRA Fellow at Curtin University's School of Civil and Mechanical Engineering within the Faculty of Science and Engineering. He holds a PhD (2019) and has held postdoctoral and research roles at Curtin and The Hong Kong Polytechnic University. His research focuses on structural dynamics, vibration control of offshore wind turbines, and seismic response analysis. He has secured prestigious fellowships including ARC DECRA (2024) and Marie Curie (2025). Education: PhD in Civil Engineering, Curtin University (2019) Research Interests: Structural dynamics and vibration mitigation Offshore wind energy systems Seismic response analysis Energy-harvesting control technologies Key Research Trends (2022-2025): Focused on advanced vibration control solutions for offshore wind turbines, including novel damper technologies (e.g., TTMD, KDamper), metamaterial applications, and fatigue analysis under multi-hazard conditions. His work combines experimental validation, numerical modeling, and innovative control system design. Awards: ARC DECRA Fellowship (2024-2028) Marie Skłodowska-Curie Fellowship (2025) Highly Cited Paper in Engineering (2024) Best Paper Awards (2024) Grants & Advising: Sole CI on ARC DECRA grant for hybrid wind-wave energy systems. Advises on projects involving floating platforms and structural resilience. Active in collaborative research with industry and international institutions. Labs/Teams: Part of the Curtin Research Centre for Infrastructural Monitoring & Protection, focusing on structural health monitoring and resilient infrastructure design.

• Structural Engineering
• Structural Dynamics
• Structural Vibration Control
• +3 more

Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales (UNSW) Canberra, Australia. He holds a B.E. degree in automation from the University of Science and Technology of China (2012) and a Ph.D. in systems engineering and engineering management from the City University of Hong Kong (2016). Prior to his current position, he was a research associate at ETH Zurich's Reliability and Risk Engineering Lab (2016-2019) and a Lecturer at UNSW Canberra (2019-2021). Dr. Mo's educational background includes a strong foundation in systems engineering with international experience across China, Switzerland, and Australia. His career trajectory demonstrates a progression from academic research to faculty positions with increasing responsibilities in teaching and research leadership. His research focuses on enhancing the resilience, performance, and security of complex systems using learning-based algorithms, primarily in power and energy systems, cyber-physical systems, and manufacturing systems. He applies data analytics to understand system evolution under uncertainties, with particular emphasis on prognostics and health management, sustainable transportation, robust operation of power systems under extreme events, and reinforcement learning-based asset management. His work bridges theoretical advances with practical applications in critical infrastructure. Analysis of Dr. Mo's recent publications reveals a strong focus on energy systems, particularly in the integration of machine learning with power grid management, battery storage systems, and resilience against cyber threats. His research shows a clear trajectory toward increasingly complex system integration, with growing emphasis on multi-vector energy communities, cross-domain prediction, and uncertainty-aware energy management. The interdisciplinary nature of his work spans electrical engineering, computer science, and operations research. 2024 IEEE SMC Early Career Award 2023 Visiting Research Fellowship (Jean d'Alembert Pour Fellowship) Gold Medal in 2024 China International College Student Innovation Competition (as supervisor) Arc PGC Supervisor Award (2021) IEEE SMC Outstanding Chapter Award (2021) Alumni Achievement Award from City University of Hong Kong (2019) Dr. Mo actively supervises numerous HDR students working on cutting-edge research topics including battery health monitoring, quantum control, reinforcement learning for power systems, and explainable AI for energy management. He leads multiple significant research grants totaling over 3 million AUD, including projects funded by ARC, Energy Innovation Fund, and international collaborations with institutions like ETH Zurich, Cambridge, and Tsinghua University. His research group maintains strong international connections, facilitating student exchanges and collaborative research. As Postgraduate Course Coordinator of Systems Engineering and Chair of IEEE SMC ACT Chapter, Dr. Mo plays a significant role in academic leadership and professional community building. His research team collaborates with industry partners on practical implementations of their theoretical work, particularly in the energy sector.

• Power and energy systems
• Cyber-physical systems
• Manufacturing systems
• +6 more

Professor Richard Kingsford is a distinguished river ecologist and conservation biologist at the University of New South Wales (UNSW), serving as Director of the Centre for Ecosystem Science within the School of Biological, Earth & Environmental Sciences. With a career spanning over three decades since earning his PhD from the University of Sydney in 1986, he has established himself as a leading expert on Australian river systems. His research focuses on river ecology and conservation biology, particularly in the wetlands and rivers of the Murray-Darling Basin and Lake Eyre Basin. Kingsford's work integrates field ecology with policy development, having previously worked for the NSW Government Environment agency from 1986-2004 before transitioning to academia. He has made significant contributions to understanding how river regulation impacts ecosystems and biodiversity. Kingsford's recent publications demonstrate his expertise in freshwater ecosystem science, adaptive management approaches, and conservation interventions. His research spans from fundamental ecological studies of river systems to applied conservation projects including the Wild Deserts rewilding initiative in Sturt National Park and the Platypus Conservation Initiative. He has developed expertise in using emerging technologies like drone imagery and remote sensing for ecosystem monitoring. As an influential researcher, Kingsford has served on numerous state and federal advisory committees, helping translate scientific findings into river policy and management practices across Australia. His work bridges the gap between academic research and practical conservation outcomes through community engagement and strategic adaptive management approaches. Director of the Centre for Ecosystem Science, UNSW Leader of Wild Deserts rewilding project Expert in Murray-Darling Basin and Lake Eyre Basin ecosystems Specialist in freshwater conservation and adaptive management

• River Ecology
• Wetland Conservation
• Conservation Biology
• +7 more