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Marcello La Rosa is a Professor in the field of Business Process Management at Queensland University of Technology. His work focuses on process mining, workflow systems, and business process modeling. He has contributed extensively to research on process variability, predictive monitoring, and automated discovery techniques for business processes. His research has been published in top-tier journals such as Information Systems , ACM Transactions on Management Information Systems , and IEEE Transactions on Knowledge and Data Engineering . La Rosa's research interests include process model repositories, conformance checking, and the application of machine learning in process analytics. His work bridges theoretical advancements with practical tools such as the Apromore platform, which supports process model management and analysis. He has collaborated internationally on projects involving business process configuration, blockchain integration, and event log analysis. His contributions span over 134 publications and include seminal works on process mining manifesto, configurable process models, and drift detection in business processes. He has also co-edited special issues on BPM workshops and contributed to standards in workflow management systems like YAWL.

• Business Process Management
• Process Mining
• Workflow Systems
• +3 more

Colin Fidge is a Professor in the Department of Computer Science at Queensland University of Technology (QUT), Australia. His research focuses on software engineering, cybersecurity, and distributed systems, with emphasis on microservices architecture, industrial control systems, and IoT applications. He collaborates extensively with institutions like QUT's School of Electrical Engineering and Computer Science, contributing to projects in smart cities, fog computing, and blockchain-based manufacturing security. Key research interests include reengineering legacy systems into microservices, anomaly detection in industrial networks, and secure communication protocols for UAVs. He has published widely in top journals like IEEE Transactions and Information and Software Technology. His work spans theoretical contributions (e.g., Petri net models for anomaly detection) and applied solutions (e.g., fog/IoT framework optimizations). Notable publications address challenges in edge computing, data distribution for large-scale systems, and cybersecurity for critical infrastructure. He has co-authored over 161 papers and contributed to books on secure manufacturing and asset management.

• Software Engineering
• Cybersecurity
• Microservices Architecture
• +4 more

Dr. Yuchen Zhang is a Lecturer and ARC DECRA Fellow at the School of Electrical Engineering & Robotics, QUT. He holds a PhD in Electrical Engineering from UNSW (2018), alongside Bachelor degrees in Engineering and Commerce. His research focuses on power system stability, renewable energy integration, wind farm planning, smart grid technologies, and AI applications in power engineering. His work bridges interdisciplinary approaches in energy systems and data-driven methodologies. Education: Bachelor of Engineering (2013) Bachelor of Commerce (2013) PhD in Electrical Engineering (2018), UNSW Research Interests: Power system stability assessment and control, grid integration of renewables, wind farm planning, smart grid technologies, smart city infrastructure, and AI-driven system development. Awards: 2020 Best Paper Award for IET Smart Cities for work on smart campus frameworks. Grants & Projects: Leads the ARC-funded project 'Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions' (2024–present), focusing on enhancing power grid resilience through real-time monitoring and control strategies. Teaching: Coordinates courses on renewable energy systems and power systems management. Engages in industry collaborations across renewable energy, maritime services, and IEEE standards development. Future Work: Expanding research into electrified logistics integration, smart city energy systems, and AI-driven emergency control mechanisms for power grids.

• Power System Stability
• Renewable Energy Integration
• Wind Farm Planning
• +4 more

Dr. Dorian Tsai is a Research Fellow and Associate Investigator at the Queensland University of Technology (QUT) Centre for Robotics, affiliated with the School of Electrical Engineering & Robotics. His research focuses on environmental robotics, robotic vision, and deep learning applications for large-scale environmental challenges. He currently leads the Technology Development stream in the Reef Restoration and Adaptation Project (RRAP), developing robotic technologies for coral monitoring and endangered species tracking. Education: Bachelors in Engineering Science (University of Toronto), Masters in Space Science & Technology (Lulea Technical University), Robotics & Automation (Aalto University), and a PhD in Robotics from QUT. His doctoral work involved light field features for camera motion control, completed under supervisors Prof. Peter Corke, Dr. Donald Dansereau, and Dr. Thierry Peynot. Research emphasizes robotic solutions for marine conservation (e.g., Great Barrier Reef preservation), precision agriculture, and autonomous systems. His work combines machine learning, computer vision, and robotics engineering to address real-world environmental and industrial challenges. Prior to QUT, he worked at the Canadian Space Agency and completed thesis research at NASA's Jet Propulsion Lab on rover docking systems.

• Environmental Robotics
• Robotic Vision
• Deep Learning
• +3 more

Dr. Jessica Bohorquez Arevalo holds dual roles at the University of Adelaide: as a Grant-funded Researcher in the School of Architecture and Civil Engineering and as an Adjunct Lecturer in the School of Civil, Environmental & Mining Engineering. Her research focuses on innovative solutions for water infrastructure, including the use of pressure transients and artificial intelligence for pipeline inspection and monitoring. She is also actively involved in optimizing energy efficiency in water supply systems through renewable energy integration. Dr. Bohorquez Arevalo emphasizes the importance of inspiring future engineers to address water resource challenges through teaching and research communication. Her current research interests include: Transient network calming in smart water networks Active/passive pipeline inspection via neural networks and fluid transients Renewable energy (solar, battery storage) optimization in water systems Dr. Bohorquez Arevalo aims to collaborate with water utilities to develop machine learning and optimization tools for asset management and water resource challenges. She actively engages with professional networks to advance her research and educational mission.

• Water Pipeline Inspection
• Artificial Intelligence in Engineering
• Smart Water Networks
• +3 more

Associate Professor Kylie Dunning is an ARC Future Fellow and leads the Reproductive Success team within the Robinson Research Institute, Institute for Photonics and Advanced Sensing, and School of Biomedicine at the University of Adelaide. She specializes in reproductive biology, leveraging photonics to study oocyte and embryo development. Her work focuses on improving fertility outcomes through non-invasive diagnostic technologies. Research Interests: Light-based technologies for embryo imaging Metabolic analysis of oocytes and embryos Clinical translation of imaging tools for IVF Awards: ARC Future Fellowship Advising and Grants: Supervises postdoctoral researchers and graduate students in reproductive biology and photonics. Engages in interdisciplinary projects to bridge laboratory discoveries with clinical applications. Labs/Teams: Leads a diverse team focused on developing cutting-edge diagnostic tools for fertility and agriculture sectors.

• Reproductive Biology
• Photonics
• Embryology
• +3 more

Professor Vitali Sintchenko is a public health microbiologist and informatician at The University of Sydney, affiliated with the School of Medical Sciences , Sydney Infectious Diseases Institute , and Westmead Institute for Medical Research . As a Clinical Microbiologist with NSW Health Pathology , he develops genomic epidemiology tools for communicable disease surveillance, focusing on tuberculosis, pertussis, and Salmonella. His work integrates pathogen genomics with clinical data to improve outbreak detection and control. MBBS, PhD, FRCPA, FACHI Member, Commonwealth Public Health Laboratory Network and Communicable Diseases Genomics Network Leadership in Mycobacterium Reference Laboratory and Enteric & Pneumococcal Reference Laboratories Research spans: Genomic surveillance of epidemic bacterial pathogens Development of decision support systems for outbreak response Integration of syndromic surveillance with molecular epidemiology Microbiome analysis in respiratory infections Antimicrobial resistance genomics Machine learning applications in pathogen tracking Recent publications demonstrate leadership in Salmonella and Tuberculosis genomic epidemiology, with Nature , Lancet , and PLoS contributions. His team's work on SARS-CoV-2 variants and Shigella sonnei evolution highlights real-time surveillance applications. Scientific contributions include: World's first book on Infectious Disease Informatics (Springer, 2010) Development of MGTdb genomic database Creation of DODGE outbreak detection algorithm Advancements in CRISPR-based diagnostics Key role in Australian Pathogen Genomics Program As an academic leader, he supervises students working on: Ellen Donnan : TB control strategies in NSW David Pham : Metagenomic pathogen detection Sarah Smith : Pneumococcal disease genomics Michael Wehrhahn : Dientamoeba fragilis epidemiology His laboratory at Westmead Hospital develops: Genomic outbreak detection systems AI-driven surveillance tools Pathogen transmission mapping Drug resistance prediction models

• Biosurveillance of communicable diseases
• Infectious disease informatics
• Genomic epidemiology
• +3 more

Wayne Kelly is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He has over 25 years of academic experience and serves as the Academic Lead for Teaching and Learning and Course Coordinator for the Bachelor of Information Technology degree. PhD in Computer Science, University of Maryland, College Park, 1996 BSc (Hons) in Computer Science, University of Queensland, 1989 His research expertise lies in Programming Languages, Compiler Construction, and Parallel Computing, with significant contributions to High Performance Computing, Big Data, and Bioinformatics. His work has led to collaborations with Microsoft Research and over $2 million in external funding. His recent publications reflect a strong trend in parallel and distributed systems, embedded computing, bioinformatics data analysis, and remote sensing. Key themes include optimization of computational systems, memory management, and scalable data processing. Wayne Kelly has made impactful contributions to both teaching and research, guiding numerous postgraduate students and leading curriculum development in information technology. Optimizing I/O cost and managing memory for bioinformatics A communication model for streaming applications on MPSoC Ruby.NET: a compiler for the Common Language Infrastructure He is actively engaged in real-world technology development, including a project with a vision-impaired student to improve public transportation accessibility, currently trialed by transport authorities in Australia and the US.

• Programming Languages
• Compiler Construction
• Parallel Computing
• +7 more

Professor Flora Salim is a leading academic at the University of New South Wales (UNSW) Sydney, holding a full Professorship in the School of Computer Science and Engineering. She serves as Deputy Director (Engagement) of the UNSW AI Institute and contributes to multidisciplinary research at the intersection of ubiquitous computing, machine learning, and data science. Human-centred AI and ethical systems Spatio-temporal data modeling Applications for climate resilience and urban mobility Her research focuses on multimodal foundation models, continual learning, and responsible AI deployment in real-world environments. She explores: Time-series and sensor data analysis Wearable and environmental sensing AI for sustainable infrastructure Robustness and trustworthiness in models Recent publications highlight her work on: Transformer-based climate downscaling Cross-modal fairness in mobility Privacy-preserving spatio-temporal generation Patient similarity networks in healthcare She has received multiple competitive fellowships including: Humboldt Fellowship Bayer Fellowship Victoria Fellowship ARC Australian Postdoctoral Industry (APDI) Fellowship Additional accolades include: Women in AI Award Australia and New Zealand (2022) IBM Smarter Planet Industry Innovation Award As Chief Investigator in: ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) ARC Training Centre for Whole Life Design for Carbon Neutral Infrastructure She maintains active collaborations through: Associate position at ELLIS Alicante Visiting Professor roles at University of Kassel (2019-2020) and University of Cambridge (2019) Editorial board memberships in ACM TIST, IEEE Pervasive Computing, and Nature Scientific Data

• Ubiquitous computing
• Machine learning
• Data science
• +6 more

Dr. Rong Deng is a Lecturer at the School of Photovoltaic and Renewable Energy Engineering , University of New South Wales (UNSW) , Australia. She completed her PhD in 2021 on 'End-of-life Recycling of Silicon Photovoltaic Modules: Towards A Circular Economy' and a Bachelor of Engineering (Honours Class I) in 2018, both from UNSW. Her research focuses on sustainable end-of-life management of silicon photovoltaic modules, integrating technological innovation with economic analysis. Research Interests: End-of-life management of photovoltaic panels End-markets for recycled module materials PV sustainability and circular economy Techno-economic assessment of recycling processes Large-scale PV modules and their lifecycle impacts Her work has been recognized as a 'PV Recycling textbook' by industry experts, particularly her 2019 paper 'A techno-economic review of silicon photovoltaic module recycling'. Scientific Awards: 2022 : Forbes 30 Under 30 Asia List – Healthcare & Science 2023 : UNSW Women in Engineering Excellence Awards 2020 : Australia Global Talent, Department of Home Affairs 2021 : 1st Runner-up, SPREE Three Minute Thesis Competition 2019 : Best Oral Presentation Award, GPVC 2019, Gwangju, Korea 2019 : Best Poster Presentation Award, 36th EUPVSEC, Marseille, France 2019 : Best Poster Award, UNSW Engineering PG Symposium Grants & Funding: ACAP-Neoen Collaboration : Scoping study on solar panel end-of-life management in Australia – AUD 160,000 ACAP-Solarcycle Collaboration : Techno-economic assessment of CdTe panel recycling – AUD 40,000 NSW EPA : Scipher Advanced Solar Panel Recycling – AUD 1,790,000 EUCD Climate Dialogue : PV Circularity in Australia – €145,000 Teaching & Academic Service: Dr. Deng is the course convenor for SOLA5051 Life Cycle Assessment , contributing to the education of future renewable energy engineers.

• Photovoltaics
• Circular Economy
• Techno-economic Assessment
• +3 more

Dr. Branislav Hredzak is a researcher at the Faculty of Engineering , University of New South Wales . His work focuses on power electronics, renewable energy systems, and advanced control strategies for energy storage and smart grids.

• Control and management of distributed renewable energy resources
• Reconfigurable and hybrid energy storage systems
• Advanced control systems for power electronic converters
• +4 more

Professor Ziv Hameiri is a faculty member at the University of New South Wales (UNSW) in the School of Photovoltaic and Renewable Energy Engineering. He holds a PhD from UNSW (2011) and a BSc from Ben-Gurion University (2005). His research focuses on photovoltaic device characterization, machine learning applications in energy, and novel solar cell technologies like tandem cells and AgriPV systems. He leads the ACDC Research Group and has received awards such as the UNSW Vice-Chancellor’s Research Fellowship (2013) and ARC DECRA (2015). Education: PhD in Photovoltaic and Renewable Energy Engineering, UNSW (2011) BSc in Electrical and Computer Engineering, Ben-Gurion University (2005) Research Interests: Development of new characterization methods for photovoltaic devices Machine learning algorithms for PV applications Defect analysis in silicon and non-silicon devices Passivation techniques for solar cell surfaces AgriPV and betavoltaic device innovation Articles Trends: Recent work emphasizes AI-driven defect analysis, luminescence imaging, and tandem solar cell optimization. Over 140 journal articles and 250 conference papers highlight his contributions to photovoltaic science. Awards: Excellence Award in Industry Engagement (2023) Multiple HDR supervision awards (2021–2020) Scientist Medal (International Association of Advanced Materials, 2018) Advising & Grants: Supervised over 15 PhD/MSc students, including notable theses like Yoann Buratti’s work on machine learning for silicon cell characterization. Active in securing grants for PV innovation and industry partnerships. Labs/Teams: Leads the ACDC Research Group, focusing on transformative photovoltaic technologies. Collaborates with UNSW facilities like the Mark Wainwright Analytical Centre.

• Photovoltaics
• Solar Cells
• Machine Learning Applications in Energy
• +4 more

Dr. Silvia Chowdhury is a Postdoctoral Research Fellow at the Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland. She holds a PhD in Materials Science from UQ (2025), an MSc (Research) in Mechatronics Engineering from IIUM Malaysia, and a BSc in Electrical and Electronics Engineering from AIUB Bangladesh. Her research focuses on designing metal-organic frameworks (MOFs) for gas and biosensing applications, integrating nanotechnology and electrochemistry. Education: - PhD in Materials Science, UQ (2025) - MSc (Research) Mechatronics Engineering, IIUM Malaysia - BSc Electrical and Electronics Engineering, AIUB Bangladesh Research Interests: Dr. Chowdhury’s work emphasizes MOF engineering for enhanced sensing capabilities, including gas detection (e.g., ammonia, glucose) and electrochemical applications. Her studies explore material morphology, porosity, and functionalization to optimize performance in energy storage (e.g., supercapacitors) and biomedical contexts. Recent advancements include bimetallic MOFs for catalytic and energy applications, and template-free synthesis techniques. Awards: - Silver Medal from KERIE (2025) - Over 15 peer-reviewed publications, including 6 first-author papers, with >650 citations and an h-index of 12 Supervision: Available for PhD/MSc supervision in nanomaterials, MOFs, and electrochemical sensing. Contact via email . Labs/Teams: Affiliated with AIBN’s Materials and Nanotechnology Research Group, collaborating on interdisciplinary projects at the interface of materials science and biotechnology.

• Metal-Organic Frameworks (MOFs)
• Nanotechnology
• Electrochemistry
• +6 more

Andrew Robinson is a Professor at The University of Melbourne, holding dual appointments in the School of BioSciences and the School of Mathematics and Statistics. As Director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), he leads research on statistical and risk analysis for biosecurity threats, funded by Australian and New Zealand governments. His work bridges computational tools and natural resource management, with a focus on R programming and data-driven decision-making. Co-authored 4 influential books on R programming and biosecurity Developed icebreakeR, a popular R education resource Conducts workshops for scientists and policymakers Robinson's research spans biosecurity risk modeling, invasive species management, and statistical applications in forestry. His recent work emphasizes climate change impacts on agricultural yields, adaptive sampling strategies, and Indigenous leadership in biosecurity. He maintains active collaborations in data analytics and policy development. Selected Research Trends: Current projects focus on quantitative risk prioritization, climate change adaptation, and automated surveillance systems. Key subfields include computational biosecurity, stochastic modeling, and cross-jurisdictional policy frameworks. Robinson's laboratory, CEBRA, integrates multidisciplinary approaches to biosecurity challenges. His publications demonstrate expertise in statistical ecology, risk analytics, and policy simulation. He continues to develop R-based tools for practical applications in natural resources and biosecurity.

• Biosecurity Risk Analysis
• Statistical Modeling
• Forest Analytics
• +7 more

Dr. Antoine Trzcinski is a Senior Lecturer at the School of Agriculture and Environmental Science, University of Southern Queensland. With a PhD from Imperial College London and degrees from UC Louvain, he specializes in environmental and chemical engineering, focusing on sustainable waste treatment technologies. Education: BChEng (UC Louvain, 1982) MChemEng (UC Louvain, 1982) PhD (Imperial College, 2009) His research spans membrane bioreactors, anaerobic digestion, wastewater treatment, and biorefinery processes. Key projects examine nanoparticle impacts on bioprocesses, PFAS removal technologies, and fungal fermentation for biofuel production. Recent publications highlight innovations in electrochemical wastewater treatment, hybrid reactor designs, and microplastics' environmental effects. He supervises PhD students in environmental engineering and biotechnology projects. Scientific Awards: Member, Institution of Chemical Engineers (IChemE) Trzcinski's work bridges advanced oxidation processes, artificial intelligence modeling, and sustainable waste management strategies, with active collaborations across chemical and environmental engineering disciplines.

• Environmental Engineering
• Chemical Engineering
• Water Treatment Processes
• +9 more