Tim Rose is an Associate Professor at Queensland University of Technology (QUT), affiliated with the School of Architecture & Built Environment within the Faculty of Engineering. His primary roles include Research Project Leader at the Centre for Mining Equipment, Technology and Services Business Innovation (CMBI) and Director of International and Engagement for the School of Civil Engineering and Built Environment. He holds a PhD from QUT and specializes in project management, risk management, innovation adoption, and building sustainability. Key research interests include construction innovation, supply chain logistics, occupational safety, and organizational behavior. His work spans theoretical frameworks and practical applications, such as developing algorithms for construction scheduling and analyzing corruption in the Malaysian construction industry. Rose has contributed to over 60 publications, focusing on topics like machine learning in auditing, reverse logistics, and fatigue management in construction workers. Education: PhD in Construction Management from QUT Awards: Nominated for Vice-Chancellor's Excellence Awards (2012, 2015) and CRC Innovation Research Scholarship (2004–2007) His articles highlight trends in leveraging technology (e.g., AI for auditing, deep learning in material testing) and addressing industry challenges like corruption and safety. Rose collaborates with global entities such as the Cooperative Research Centre for Optimising Resource Extraction (CRC ORE) and the International Council for Research and Innovation in Building and Construction (CIB). He has supervised doctoral and master's students on projects involving reverse logistics, safety innovation, and infrastructure performance in developing countries. Professional activities include editorial roles for journals like Construction Management and Economics and Automation in Construction , reflecting his influence in shaping industry research directions.
Akbar Khatibi is a Professor and Associate Dean, Academic Operations at the School of Engineering, RMIT University in Melbourne, Australia. He has held academic roles including Professor (2016–Present), Senior Lecturer (2012–2015), and Research Fellow positions at RMIT and other Australian institutions since 2000. Previously, he served as an Assistant Professor at the University of Tehran (2005–2011) and a Lecturer at the University of Melbourne (2001–2005). His research focuses on advanced composite materials, nanotechnology, structural integrity, and bio-inspired engineering solutions. He also explores interdisciplinary areas like aerospace engineering, civil engineering, and condensed matter physics. Key projects include optimizing metal-composite joints, enhancing fire resistance in composites, and developing sustainable materials from recycled tyre rubber. His teaching interests span composite structure design, fracture mechanics, and interface engineering. He has supervised numerous research projects, such as 'Aero-Structural Optimisation of Wingtip Design with Smart Materials' and 'Bio-inspired hybrid joints for aerospace applications,' though specific student names are not listed. Dr. Khatibi is actively involved in research collaborations and utilizes advanced techniques like molecular dynamics and finite element modeling. He holds an ORCID identifier (0000-0002-1036-7290) and is open to supervising further studies in his areas of expertise. His work emphasizes practical applications of materials science, including aerospace components, automotive engineering, and structural health monitoring. Projects like 'Multi-axial Fabric Composites for Aerospace Components' and 'Self-healing and self-sensing materials' highlight his dedication to innovation in composite technologies and durability. No scientific awards are explicitly mentioned in the provided texts, but his contributions to sustainable materials and structural engineering are notable.
Winthrop Professor Jie Pan is affiliated with the School of Engineering and the Department of Mechanical Engineering at The University of Western Australia, and is a member of the UWA Defence and Security Institute. His research focuses on acoustics, active noise and vibration control, architectural acoustics, control engineering, industrial noise reduction, and structural dynamics. His work contributes to UN Sustainable Development Goals related to sustainable cities and communities, and responsible consumption and production. Research Interests: Acoustics and vibration control in mechanical systems Active and passive noise mitigation strategies Structural dynamics and finite element analysis Applications in industrial engineering and transformer systems Remote sensing for environmental monitoring Recent Articles Trends: Prof. Pan's recent publications emphasize advanced analytical techniques, experimental validation, and numerical modeling in vibration and acoustics. Key themes include the effects of hydrostatic loading on clamped plates, piezoelectric actuator performance, and the use of UAV-based hyperspectral imaging for disease detection. His work bridges mechanical engineering with environmental and biomedical applications. Grants and Supervision: He has led 30 research projects, including major grants from ARC Australian Research Council and Woodside R2D3. Examples include the Integrated Passive and Active Control of Humming Noise from Haul Trucks and Smart Acoustical Surfaces collaborations. He has supervised 9 doctoral/master's students, though specific advisee names are not listed here.
Dr. Yuval Rishu Sanders is a Senior Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He is affiliated with the Centre for Quantum Software and Information (QSI), where he conducts cutting-edge research in quantum computing and quantum information theory. Dr. Sanders holds a PhD from the University of Waterloo, Canada, and has established himself as a prominent researcher in the quantum computing field with numerous high-impact publications. Dr. Sanders' academic journey began with a Bachelor of Science (First Class Honours) from the University of Calgary in 2008, followed by a Master of Science from the same institution in 2011. He completed his Doctor of Philosophy at the University of Waterloo in 2016. His career progression includes positions as a Research Associate at Macquarie University (2016-2021) and at UTS (2021-2022), before becoming a Permanent Faculty member at UTS in September 2022. Dr. Sanders' research focuses on the theoretical foundations of quantum computing, with particular expertise in quantum algorithms, quantum simulation, and quantum error correction. His work addresses fundamental questions about the computational advantages of quantum computers over classical systems, with a special emphasis on developing practical quantum algorithms for real-world applications. He is particularly interested in improving the efficiency and accuracy of quantum simulations, developing better methods for quantum state preparation, and establishing rigorous computational cost models for quantum algorithms. Dr. Sanders has made significant contributions to the field of quantum linear systems solvers, quantum measurement theory, and quantum resource theories. His research statement emphasizes the need for reliable computational cost analysis to determine when quantum computers will outperform classical computers for useful tasks. Analysis of Dr. Sanders' publication record reveals a consistent focus on advancing the theoretical underpinnings of quantum computing. His most recent work (2024-2025) centers on improving quantum simulation techniques through better product formulae, while his earlier work (2018-2022) demonstrates expertise across multiple quantum computing subfields including quantum algorithms for fermionic systems, quantum error characterization, and quantum measurement theory. A notable trend in his research is the development of more efficient quantum algorithms that reduce resource requirements while maintaining accuracy, which is crucial for near-term quantum applications. Dr. Sanders serves as an Associate Editor for the IEEE Transactions on Quantum Engineering since February 2023, demonstrating his standing in the quantum computing research community. His publication record includes articles in prestigious journals such as PRX Quantum, Physical Review Letters, and New Journal of Physics, with significant citation counts indicating the impact of his research. Dr. Sanders is actively involved in funded research projects that advance quantum computing theory and applications. His current projects include 'Building the Theoretical Foundation of Refinement Techniques for Quantum Programming' (2025-2027), 'The QB-suite: a framework for quantum algorithm design and benchmarking' (2024-2027), and 'Quarkov Decision Processes' (2023-2027). He has also contributed to significant projects such as 'Tools for fault-tolerant resource estimation' (2022-2025) and 'Defence acquisition optimisation using quantum algorithms' (2021-2024). His research vision includes developing software tools that can automate the analysis of quantum computations, potentially enabling a 100,000-fold speedup in the design iteration process for quantum applications. As a member of the Centre for Quantum Software and Information at UTS, Dr. Sanders collaborates with a multidisciplinary team of researchers working on various aspects of quantum computing. His research group focuses on developing theoretical frameworks and practical tools for quantum algorithm design, with particular emphasis on making quantum computing more accessible and efficient. Dr. Sanders' work bridges theoretical quantum computing with practical applications, contributing to the broader goal of realizing useful quantum advantage.
Dr. Dora He is a Postdoctoral Research Fellow at The Australian National University's School of Engineering. She holds a PhD and specializes in smart grid technologies, demand response strategies, and optimization modeling. Her research focuses on battery scheduling, stochastic scheduling, and the integration of electric vehicles (EVs) into energy systems. Research Interests: Smart Grids and Energy Storage Solutions Optimization of Residential and Commercial Energy Demand Virtual Power Plants and Community Battery Systems Real-Time Pricing Mechanisms and Scalable Algorithms Cybersecurity in Smart Grid Infrastructure Her recent work includes analyzing potential benefits of neighborhood batteries and comparing them with virtual power plants, as well as developing fast algorithms for large-scale demand scheduling under real-time pricing. A notable project (2023-2024) explores maximizing consumer benefits from community batteries through targeted research and knowledge sharing. Advising and Grants: Project: 'Keeping the community in community batteries' funded from June 2023 to April 2024 Labs/Teams: Engaged with energy systems research teams at ANU, focusing on grid optimization and renewable energy integration.
Dr. Charles Alexis Asselineau is a Research Fellow at the Australian National University (ANU) within the College of Systems & Society, specializing in solar thermal energy conversion and concentrating solar power (CSP) systems. His research focuses on optimizing the performance and cost-effectiveness of CSP components, particularly receivers and heliostat fields. Key projects include the USASEC Project (radiative heat-transfer simulations), ASTRI’s Flux Optimised Sodium Receiver (FONaR), and the SMILE cogeneration system in Brazil. He holds a PhD in Thermal Engineering from ANU and has extensive industry experience with companies like Areva Renewable and Vast Solar. Education highlights include a PhD (2017, ANU), a French-Chinese double degree in energy project management (2010), and advanced engineering degrees from Tsinghua University and École des Mines d’Albi-Carmaux. His work integrates Monte-Carlo ray tracing, stochastic optimization, and machine learning to enhance CSP efficiency and thermal storage solutions. Dr. Asselineau has pioneered advancements in sodium-based receivers, spillage skirt designs, and bifacial PV modeling. His contributions to solar fuels via supercritical water gasification and coral-inspired coatings for sunlight harvesting highlight interdisciplinary innovation. Awards include the MSCA IF Fellowship for the HEASeRS project on angular-selective radiant surfaces.
Elham Mardaneh is an Associate Professor at Curtin University's Centre for Optimisation and Decision Science. She develops mathematical frameworks for optimizing complex industrial systems, with applications in mining logistics, agricultural supply chains, and energy-efficient scheduling. Her grain industry optimization research won Curtin University's 2018 Business and Law innovation prize. Research Focus: Decision support systems for resource-constrained environments; stochastic optimization under uncertainty; applications in mining operations and supply chain management. Recent publications address open-pit mine scheduling and parallel machine optimization challenges.
Fabrizio Padula serves as Senior Research Fellow at Curtin University's Centre for Optimisation and Decision Science within the School of Electrical Engineering, Computing and Mathematical Sciences. His academic journey includes previous appointments as Lecturer in Civil and Mechanical Engineering (2020) and Research Fellow in Electrical Engineering (2016-2020) at Curtin, following research positions at the University of Brescia. PhD in Computer Science and Control Engineering with Doctor Europaeus distinction (University of Brescia, 2013) MSc in Industrial Automation Engineering (110/110 magna cum laude, University of Brescia, 2009) BSc in Industrial Automation Engineering (110/110 magna cum laude, University of Brescia, 2007) Dr. Padula's research spans theoretical and applied control systems with emphasis on fractional-order methodologies. His work bridges fundamental control theory with practical implementations across diverse domains including industrial automation, medical systems, and robotics. Recent publications demonstrate growing focus on medical applications, particularly closed-loop anesthesia control systems using fractional-order controllers. Analysis of his 15 most recent publications reveals strong interdisciplinary collaboration patterns, combining advanced control theory with clinical medicine and industrial engineering. The research demonstrates consistent methodological innovation in fractional-order control systems while maintaining practical relevance through industry partnerships and clinical validation. Scientific Recognition ANIPLA Best Paper Award (2013) for industrial motion control implementation Spanish Committee for Automation Benchmark Prize (2011) Doctor Europaeus distinction (2013) MSc Prize from Don Bartolomeo Grazioli Foundation (2010) Dote Ricercatori research fellowship (2012-2013) Multiple magna cum laude academic distinctions Dr. Padula maintains extensive industrial collaborations with organizations including Whirlpool, Rio Tinto, and Woodside Energy, translating theoretical advances into practical solutions for challenges ranging from rare earth processing to autonomous crane systems. His patent for clothes dryer control systems demonstrates successful commercialization of research outcomes.
Dr. Hoa Bui is a Research Fellow at Curtin University's Centre for Optimisation and Decision Science, affiliated with the School of Electrical Engineering, Computing and Mathematical Sciences. Her research focuses on Operations Research, Optimization, Combinatorics and Discrete Mathematics, and Variational Analysis. She holds a PhD in Mathematics from Federation University, Australia (2020) and a BSc (Hons) in Mathematics from the University of Education, Ho Chi Minh City, Vietnam (2016). Research Interests: Dr. Bui's work bridges theoretical and applied aspects of optimisation, including discrete optimisation, convex optimisation, and their applications in scheduling, facility location, and combinatorial problems. She also explores variational analysis and graph theory, contributing to both foundational and industry-driven solutions. Awards: Trailblazer Prize Curtinnovation Award (2024) AustMS WIMSIG Cheryl E. Praeger Travel Award (2021) Maryam Mirzakhani Award (2020) Lift-Off Fellowship (2020) Advising & Grants: While her profile does not list formal advisees, her collaborative work indicates involvement in interdisciplinary projects. She is active in grant-funded research, particularly in optimisation for mining and industrial applications. Labs/Teams: Dr. Bui contributes to the Centre for Optimisation and Decision Science, focusing on cutting-edge optimisation methodologies and their real-world implementation.
Victor Calo is the John Curtin Distinguished Professor at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS) within the Faculty of Science and Engineering. He holds the CSIRO Professorial Chair in Computational Geoscience and leads the Centre for Optimisation and Decision Science. His work focuses on advancing high-performance computing (HPC) tools for geomechanics, fluid dynamics, and multiphysics modeling in resource extraction industries. Calo earned a Civil Engineering degree from the University of Buenos Aires, followed by a Master’s in Geomechanics and Ph.D. in Civil and Environmental Engineering from Stanford University. Research Interests : Geomechanics, fluid dynamics, flow in porous media, phase separation, HPC, multiphysics modeling, block copolymer self-assembly, and numerical methods for engineering systems. His research emphasizes developing open-source software to democratize advanced computational techniques. Key Achievements : Highly Cited Researcher (2013), 170+ peer-reviewed publications, 2 patents, and over 18 invited talks/keynotes in 2 years. His work bridges computational methods with geoscience applications, including reservoir simulation and material science. Grants & Collaborations : CSIRO Chair endowment, collaborations with KAUST (e.g., Center for Numerical Porous Media), and partnerships in multiphase flow modeling. Active in organizing mini-symposia at international conferences. Labs/Teams : Leads the Computational Geoscience group at Curtin, focusing on HPC-driven solutions for resource extraction challenges and materials science problems.
Professor Ryan Loxton is the Director of the Centre for Optimisation and Decision Science at Curtin University, leading research in optimisation, optimal control, and data science. His work focuses on applying advanced mathematics to complex industrial processes, collaborating with companies like Woodside Energy and BHP. He holds a PhD and BSc Honours in Applied Mathematics from Curtin University. His research interests include optimisation algorithms, maintenance scheduling, and resource management, supported by grants from the Australian Research Council and industry partners. Notable awards include the 2020 Christopher Heyde Medal and the 2014 West Australian Young Scientist of the Year Award. Professor Loxton has pioneered software tools like the Quantum platform for maintenance optimisation, which won the 2017 South32 Designing for Excellence Innovation Award. His publications span optimisation techniques for mining, energy, and logistics, with a focus on cutting-edge methods like Benders decomposition and control parametrisation. Current projects include the ARC Industrial Training Centre for Transforming Maintenance through Data Science, addressing industry challenges in the resources sector.
Sarang Kulkarni is a Senior Research Fellow at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), within the Faculty of Science and Engineering. He holds a PhD and works at Curtin's Perth campus in the Centre for Optimisation and Decision Science. His research focuses on real-life large-scale optimisation problems, including scheduling, mathematical programming, and mixed-integer programming. Education: PhD, MEng (Industrial Engineering and Management), BEng (Production) Research Interests: Logistics and Supply Chain Management, Operations Research, Optimisation techniques, and heuristic development Specialty: Decompositions and heuristics for complex optimisation challenges in transportation, logistics, and supply chain management His publications span vehicle scheduling, blast design optimisation, and hybrid neural network approaches. Notable works include benchmark datasets for multi-depot vehicle scheduling (2019) and autonomous drill-based blast optimisation (2024). He collaborates with industry partners in India and across Curtin's global campuses (Australia, Dubai, Malaysia). Labs/Teams: Active member of the Centre for Optimisation and Decision Science, contributing to both academic and industrial applications of optimisation technologies.
Reza Ghanbarzadeh is a Lecturer at the Faculty of Science and Engineering, Southern Cross University, Australia, with a PhD in Information Systems from Griffith University. He holds master's and bachelor's degrees in Software Engineering. His research focuses on evolutionary computation, human-computer interaction, user experience, and innovative technology applications in healthcare and education. Reza teaches IT units including immersive interaction design and software development in the School of Business and Tourism. Education: PhD (Information Systems, Griffith University), MSc (Software Engineering), BSc (Software Engineering). Research Interests: Evolutionary algorithms, healthcare informatics, generative AI in education, and user-centric software design. He has published extensively in journals and conferences, with notable work on metaheuristic optimization algorithms and their applications in software engineering and healthcare diagnostics. Awards: Recipient of the Outstanding Teaching Award (Southern Cross University, 2024). Advising & Grants: While no specific grants or students are listed, his publications suggest active involvement in collaborative research projects. He advises on topics related to AI, healthcare IT, and educational technologies. Labs/Teams: No formal lab affiliations mentioned, though his work intersects with interdisciplinary teams in health informatics and educational technology.
Ben Fahimnia is a Professor and Chair in Decision Sciences (Supply Chain Management) at the University of Sydney Business School. He holds a PhD, MEng, GradCert, and BEng. As the youngest Australian Full Professor in 2016, his expertise spans sustainable supply chain management, logistics optimization, and behavioral supply chain dynamics. He directs the Supply Chain & Logistics Association of Australia (SCLAA) and founded the Chance and Choice Lab and Sound of Silence Productions. His research focuses on green logistics, supply chain resilience, and the integration of behavioral economics into supply chain decision-making. Key publications include Green Logistics and Transportation (Springer, 2015) and Planning and Optimisation of Complex Supply Chains (2011). Recent work addresses perishable goods management, retail promotions, and intermodal transport sustainability. Dr. Fahimnia has secured grants from Innovative Manufacturing CRC, iMOVE CRC, and the Australian Research Council. He advises on supply chain resilience, AI applications, and global supply chain strategies. His media engagements include ABC Online, Sydney Morning Herald, and Ausbiz, discussing topics like vaccine distribution challenges and pandemic supply chain disruptions. Recipient of the 2020 Excellence in Research Award, he emphasizes interdisciplinary collaboration and education innovation. His labs and consultancies focus on transforming supply chain practices through science, creativity, and human-centric approaches.
Dr. Yunzhen He is a Research Fellow at RMIT University's School of Engineering, affiliated with the Centre for Innovative Structures and Materials (CISM). He holds a PhD from RMIT University (2023) with a focus on topology optimization, awarded for his thesis on 'Creating Diverse and Competitive Designs in Topology Optimisation'. His research interests center on topology optimization, digital fabrication, and free-form architectural structures, with a focus on developing novel optimization techniques for innovative structural designs. His work has been published in top-tier journals such as Computer Methods in Applied Mechanics and Engineering and Automation in Construction . He is involved in the ARC Laureate Fellowship project and has received the Best Paper Award at the 13th Research Symposium for Chinese Ph.D. Students and Scholars in Australia. His research bridges computational mechanics and practical engineering applications, emphasizing structural efficiency and cost-effective fabrication methods.
