Kim Rasmussen is the Challis Professor of Civil Engineering at the University of Sydney's School of Civil Engineering. He holds a MScEng from the Technical University of Denmark and PhD/DEng from the University of Sydney. His roles include former Head of School (2005–2016), Deputy Dean (2016–2022), and Interim Dean (2018). His research focuses on structural mechanics, particularly steel/cold-formed/stainless-steel structures, 3D-printed metals, and fracture mechanics. Major projects include: midrise cold-formed steel structures, reliability of 3D-printed metal frameworks, and fracture analysis of steel connections. He collaborates internationally with institutions like Imperial College London and Stanford University. Awards include the 2016 Shortridge Hardesty Award and 2020 Lynn Beedle Award. His work advances sustainable and efficient structural designs, with over 20 years of ARC funding. Current students research topics like additive manufacturing and structural reliability.
Dr Moe Mojtahedi is a Senior Lecturer at the School of Built Environment, University of New South Wales (UNSW). He earned his PhD in 2014 from the School of Civil Engineering at the University of Sydney. As a certified Project Management Professional (PMP) and Professional Engineer (PEng) accredited by Engineers Australia, Dr Mojtahedi bridges academic research with practical application in construction management and disaster risk reduction. PhD (University of Sydney, 2014) MEngSc (University of New South Wales) B.E. (Industrial), Professional Engineer (Australia) His research focuses on the intersection of construction management , urban resilience , and disaster risk reduction , particularly examining: Climate change adaptation in infrastructure Post-disaster recovery frameworks Lean construction methodologies Decision support systems for risk management Evacuation planning optimization Resilient hospital infrastructure Recent publications analyze trends in disaster science using computational modeling, prefabricated construction for industrial buildings, and AI/ML applications in aged care facility evacuation. His 2025 ChemistryOpen article explores sustainable reaction media for chemoselective processes, demonstrating interdisciplinary reach. Scientific recognition includes: Research Excellence Awards (Engineers Australia, 2012 & 2013) Best Conference Paper (ICES, Salford, 2017) Elsevier Outstanding Contribution Award (International Journal of Project Management, 2017) Learning and Teaching Excellence (UNSW, 2017) As a supervisor, he guides 7 PhD candidates and has mentored 4 graduates, including Mahmoud Ershadi (project management office effectiveness) and Kamyar Kabirifar (construction waste management). He contributes to policy discussions on aligning National Construction Code with UN Sendai Framework and advocates for disaster science integration in built environment practices. His media contributions examine hospital flood risks and climate change adaptation in Australia.
Dr. Daniel Tubbenhauer is an ARC Future Fellow at the University of Sydney's School of Mathematics and Statistics, specializing in categorical representation theory, 2-representation theory, and their applications to topology, cryptography, and machine learning. His research bridges algebra, category theory, and low-dimensional topology, with a focus on modular representation theory and diagrammatic algebra. Education: PhD in Mathematics (2013), supported by extensive postdoctoral research globally. Research Interests: He explores categorical structures in representation theory, including categorification of quantum groups, link homologies, and applications in cryptography. His work emphasizes diagrammatic methods and computational approaches to algebraic problems. Publications: Over 30 peer-reviewed articles, including foundational work on web categories, Soergel bimodules, and applications of representation theory to machine learning. Recent projects analyze growth rates in tensor powers and fractal behavior in algebraic structures. Awards: Australian Research Council Future Fellowship (2023), supporting his research on categorical representation theory. Teaching & Supervision: Taught courses on quantum topology, category theory, and representation theory. Current student: Daniel Collison (PhD). Advises on projects linking representation theory to AI and cryptography. Labs/Teams: Collaborates with global networks in algebraic topology and categorification, including projects at the Sydney Mathematical Research Institute. Maintains an active YouTube channel ( VisualMath ) for outreach.
Dr Walter Wojciech M. Kozlowski is an Adjunct Associate Professor at the School of Mathematics and Statistics of the University of New South Wales . He has been actively engaged in research in functional analysis, fixed point theory, and their applications since the 1980s. Additionally, he is a professional in Information and Communication Technology, serving as Head of Architecture at Telstra Network Cloud and elected Technology Co-Lead of the Common NFVI Telco Taskforce (CNTT) in 2019. Research Interests: Dr Kozlowski specializes in functional analysis , fixed point theory , and modular function spaces . His work explores the convergence of iterative processes, nonlinear operator theory, and applications in Banach spaces. Recent Publications: His 2024 studies focus on implicit iterative processes, modular versions of fixed point theorems, and convergence analysis. Earlier works (2013-2017) examine nonlinear differential equations, pointwise Lipschitzian mappings, and common fixed points in modular spaces. Scientific Awards: Fulbright Scholar
Chao Chen is an Associate Professor at the Department of Mechanical & Aerospace Engineering, Monash University, and Director of the Laboratory of Motion Generation and Analysis (LMGA). He holds an adjunct position as Associate Professor at the Chinese University of Hong Kong. His research focuses on medical, agricultural, and infrastructure robotics, emphasizing design, dynamics, control, and intelligence. Key innovations include the Robotic Transverse Profiler (delivered to the Australian Road Research Board in 2016), the 3D Printed Prosthetic Hand (2017 Award), and the Apple Harvesting Robot (2019 Global AI Expo). Dr. Chen has secured over $2M in lead research funding and contributed to $18M in collaborative projects, supported by ARC, Collier Charitable Fund, and International Science Linkages. His awards include the 2017 Innovation Award from the Australian Hand Therapy Association and scholarships from ASME and FQRNT. Education: PhD in Mechanical Engineering (details not explicitly stated in text) Research interests span medical robotics (surgery and rehabilitation), mobile robotics with advanced mobility, and reconfigurable mechatronic systems . LMGA’s mission is to address real-world challenges via robotic technologies, targeting healthcare, agriculture, and infrastructure sectors. Recent projects include fruit harvesting systems, drug delivery sensors, and embodied AI frameworks. Publications highlight advancements in robotic perception (e.g., LiDAR-camera fusion), control systems, and tactile-enabled grasping. His work aligns with UN Sustainable Development Goals, particularly in advancing industry innovation and infrastructure (SDG 9) and sustainable agriculture (SDG 2). Awards: 1996 Dean’s Honor List (Shanghai Jiao Tong University), 2004 ASME Scholarship, 2005 FQRNT Doctorate Scholarship Grants and collaborations include leading the ALF 1 Transverse Profiler and participating in the $18M ARC Smart Process Design Hub . Current projects address robotic fruit harvesting, hydrogel drug delivery systems, and AI-driven manipulation frameworks. Labs/Teams: Director of LMGA, collaborating internationally with institutions like IRCCyN (France), Shanghai Jiao Tong University, and Agriculture Victoria.
John Voight is a Professor in the School of Mathematics and Statistics at the University of Sydney, where he is also a member of the Algebra and Computational Algebra groups. His research focuses on arithmetic algebraic geometry, modular forms, and computational number theory. He collaborates with the Magma computational algebra system development team and contributes to databases like the LMFDB. Affiliations: University of Sydney (2024–present), Dartmouth College (2007–2024), University of Vermont (2007–2013). Key research interests include modular curves, Shimura varieties, elliptic curves, and abelian varieties. He explores algorithmic methods for computing with algebraic structures, such as quaternion algebras and ideal class groups. Publications span over 90 articles, including works on Hilbert modular forms, Belyi maps, and paramodular varieties. Notable achievements include the Selfridge Prize (2010 and 2018) and Simons Foundation grants. He advises numerous PhD students and has contributed to major projects like the LMFDB, advancing computational tools for number theory.
Dr. Thomas Britz is a Senior Lecturer at the School of Mathematics and Statistics, UNSW Sydney . He is a member of the Combinatorics Research Group and serves as Chief Editor of Parabola and Managing Editor for the Australasian Journal of Combinatorics . PhD in Mathematics (Aarhus University, 2003) Research: Discrete Mathematics, Combinatorics, Graph Theory, Matroid Theory, Coding Theory, Design Theory, and applications to renewable energy, bioinformatics, criminology, and more His research has been supported by grants including an ARC Discovery Grant and international fellowships. He has supervised numerous PhD, Master’s, and Honours students across diverse projects. Recent publications focus on harmonic Tutte polynomials, group divisible designs, and closeness centrality in graphs, reflecting his expertise in foundational and applied combinatorics. Awards : Vice-Chancellor’s Award for Student Wellbeing (2021), Science Dean's Award for Excellence in Student Wellbeing (2021), Vice-Chancellor's Award for Contributions to Student Learning (2015) He contributes to outreach activities , editorial service, and university committees, including the Education Excellence Committee and Sustainability Committee at UNSW.
Kieron Broadhurst is a Lecturer at Curtin University's School of Media, Creative Arts and Social Inquiry (part of the Faculty of Humanities), and serves in the Office of the Provost. His practice spans installation, collaborative projects, and speculative narratives. He holds a PhD in Art (2015–2020) and a First Class Honours in Art (2013), both from Curtin University. His research explores speculative fiction's role in contemporary art, often through interdisciplinary collaborations. Notable works include Border Chronicle (2025, Goolugatup Heathcote), The Rock Pool (2023, Old Customs House), and Earth Coincidence Control Office (2017, FELTspace). These projects blend site-specific installations, performance, and narrative-driven art. His exhibitions frequently engage with institutional critique, science fiction aesthetics, and collaborative authorship. Recent works like Excession (2019) and An Event (2016) highlight his focus on interconnected fictional universes and audience participation. Broadhurst has contributed catalogue essays for numerous exhibitions and completed residencies at Firstdraft (2015) and Fremantle Arts Centre (2013). His practice extends into artist books and curatorial projects, such as Portable Domains (2015).
Chi-Kwan Lee is a Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering since 2024. Previously, he held roles including Associate Professor (2018-2023) and Assistant Professor (2012-2017) at the University of Hong Kong. He earned his B.Eng. and Ph.D. in Electronic Engineering from City University of Hong Kong (1999 and 2004). His research focuses on electric power conversion, electromagnetic devices, wireless power transfer, renewable energy, and smart grid technologies. He was a Visiting Researcher at Imperial College London (2010-2020). Research Highlights: Prof. Lee has pioneered advancements in wireless power transfer for medical devices (e.g., capsule endoscopy) and electric vehicles, with breakthroughs in efficiency optimization and misalignment mitigation. His work on hybrid stepper motor systems and magnetoresistive sensors addresses challenges in contactless actuation and high-voltage current sensing. Awards & Contributions: A Senior Member of IEEE and recipient of the 2015 IEEE Power Electronics Society Transactions First Prize Paper Award. He serves on IEEE PELS committees and editorial boards of key journals like IEEE Transactions on Power Electronics. Grants & Labs: Active in funded research projects related to wireless charging systems, smart grids, and renewable energy integration. His work spans academic collaborations, industry partnerships, and international conferences.
Dr. Huseyin Hisil is a Lecturer in Cryptography at the University of Wollongong's School of Computing and Information Technology. His research focuses on asymmetric cryptosystems, including elliptic curve cryptography, hyperelliptic curves, and post-quantum cryptographic solutions. He develops optimized algorithms for multiprecision arithmetic and finite field operations. Recent publications address efficient elliptic curve arithmetic using Karatsuba-friendly primes and Jacobian coordinate systems for genus 2 curves. His work bridges computational number theory with practical cryptographic implementations, enhancing security and performance in next-generation systems. He teaches undergraduate courses including Introduction to Web Technology (CSIT128) and Web Development (CSIT884), while coordinating Professional Capstone Projects (CSIT998). His research group explores cryptographic pairings and algebraic structures relevant to quantum-resistant protocols.
Professor Kewen Wang is a faculty member in the School of Information and Communication Technology at Griffith University , where he has been actively working in computational logic, knowledge representation, and their applications in artificial intelligence for over 30 years. His research has led to the development of novel logics, computer languages, and systems for knowledge representation and reasoning. Broad research areas: Computational Logic, Knowledge Representation, Artificial Intelligence, Programming, Knowledge Graphs, Explainable AI, Ontology Reasoning, Rule Learning Key contributions: RLvLR (scalable rule learner for KGs), TyRuLe (typed rule learning), Drewer (Datalog+- query engine), ALBERT+CCR (CommonsenseQA model), auction design algorithms His research has been widely cited in top venues like Artificial Intelligence , JAIR , ACM Transactions on Computational Logic , and conferences AAAI (Area Chair 2022-2025), IJCAI , KR . He has secured six ARC Grants (five Discovery, one Linkage) and smaller grants from NICTA, CSIRO, and Griffith University. Editorial roles: Area Chair for AAAI (2022-2025), Associate Editor for Journal of Web Semantics , TGDK Supervision: Has supervised over 15 PhD students including Hong Wu, Peng Xiao, and Pouya Omran Teaching: Courses in Intelligent Systems, Data Structures, Discrete Mathematics, and Robotics
Dr. Farzaneh Tahmoorian is a Senior Lecturer in Civil Transport at the School of Engineering and Technology, Central Queensland University (CQU). She has been with CQU since 2015, progressing from Sessional Lecturer to Lecturer (2018-2022) and now Senior Lecturer (2022-present). Dr. Tahmoorian leads the Civil Engineering and Built Environment Research Group (CEBERG) and has established and manages the CQU Pavement Lab in Mackay, equipped with comprehensive testing facilities for asphalt mix, bitumen, and other pavement materials. Dr. Tahmoorian's educational background includes: PhD in "Application of Waste Materials in Flexible Pavements" from Western Sydney University (2015-2018) M.Eng from the University of Technology Sydney (2013-2015) B.Sc. from International University of Qazvin, Iran (1996-2001) Prior to academia, she worked as a site engineer and project manager in construction projects, bringing practical industry experience to her research and teaching. As an expert in road and pavement materials, Dr. Tahmoorian's research spans asphalt mix design, binder modification, concrete pavement, ground improvement techniques, and sustainability in construction. Her work focuses on utilizing waste materials in asphalt mixes, demonstrating a 6% reduction in bitumen consumption while enhancing durability and performance. She has published over 25 peer-reviewed papers and received $80,000 in CAT-3 industry funding and $130,000 in university funding for pavement research. Dr. Tahmoorian's publication record reveals a strong trend toward circular economy applications in construction, with emphasis on waste material recycling in asphalt production, life cycle assessment of sustainable methods, and innovative modular pavement systems. Her research bridges material science with practical engineering, addressing both performance requirements and environmental considerations in infrastructure development. Her editorial contributions include: Editor-in-Chief of the Australian Journal of Modernity in Road and Pavement Engineering Editor for the Journal of Engineering Solid Mechanics Editor of the book "Sandy materials in civil engineering: Usage and management" As a dedicated mentor, Dr. Tahmoorian supervises multiple research students, serving as Principal Supervisor for a Master of Research project on modular prefabricated pavement lifecycle costs and Associate Supervisor for projects on construction processes, disaster risk management, and railway ballast stabilization. She has also developed field testing facilities at Mackay Ooralea Campus for transitioning research from laboratory to field conditions with time-based performance monitoring.
Mina Mortazavi is a Senior Lecturer at the University of Technology Sydney's School of Civil and Environmental Engineering with over 15 years of experience specializing in structural engineering. Her academic journey includes a PhD in Structural Engineering from Western Sydney University, an MEng in Structural Engineering from Amirkabir University of Technology in Tehran, and a BSc in Civil Engineering from Shahid Beheshti University in Tehran. Her research interests focus on three interconnected fields: cold-formed steel profile assessment and section optimization, modularization in construction, and prefabrication of seismic mounting systems for building services. Mortazavi has developed expertise in applying machine learning techniques to structural engineering problems, particularly in thermal buckling analysis, seismic performance evaluation, and concrete material behavior prediction. Her publication record demonstrates consistent output in high-impact journals such as Thin-Walled Structures , Automation in Construction , and Journal of Building Engineering . Recent research shows increasing integration of artificial intelligence methods with traditional structural engineering problems, particularly in thermal analysis, seismic performance evaluation, and material behavior prediction. Research Innovation Connection grant recipient Multiple contract research projects with industry partners Active PhD and Masters student supervision Mortazavi's teaching portfolio includes courses in Steel and Composite Design, Steel and Timber Design, Mechanics of Solids, and Application of Timber in Engineering Structures. Her industry collaborations demonstrate strong practical application of research findings to real-world structural engineering challenges.
Yu Yao is a Lecturer in Machine Learning at the School of Computer Science, The University of Sydney. He joined in December 2023 and focuses on developing robust and interpretable machine learning systems. His research emphasizes robustness to data noise, adaptable ML systems, and disentangled representation learning. Yao holds a PhD from The University of Sydney under Professors Tongliang Liu and Dacheng Tao, followed by postdoctoral positions at Mohamed bin Zayed University of Artificial Intelligence and Carnegie Mellon University. Education: PhD in Computer Science (University of Sydney), postdoctoral research at MBZUAI and CMU. Research interests include causal inference in ML, multimodal learning, and label noise mitigation. He has published extensively in top venues like ICML, NeurIPS, and ICLR, and served as an Area Chair for AJCAI 2023, NeurIPS 2025, and ICLR 2025. Awards: Outstanding Reviewer (NeurIPS 2023, ICLR 2023), University of Sydney Research Excellence Prize (2019) Teaching: Advanced Machine Learning (USYD), Guest Lectures on noisy label learning (MBZUAI, China University of Petroleum) Service: Action Editor for TMLR, Area Chair for ICML/ICLR/NeurIPS, reviewer for top journals and conferences His lab focuses on trustworthy AI, with ongoing projects on causal mechanisms in robust learning and interpretable multimodal systems. Current advisees include PhD candidates Ruojing Dong and Jiyang Zheng (co-advised with Prof. Liu), and master's student Kai Lian.
Professor Wensu Chen is a Director of the Centre for Infrastructural Monitoring and Protection (CIMP) and holds the position of ARC Future Fellow at Curtin University's School of Civil and Mechanical Engineering. He leads research in protective structures and materials, structural resilience, and multi-hazard mitigation. With a BE/MSc from Tianjin University, ME from the University of Melbourne, and a PhD from the University of Western Australia, his career spans academia and industry. His research focuses on novel metaconcrete materials, blast-resistant designs, and modular construction. He has secured multiple ARC grants (Discovery, DECRA, Linkage) and collaborates with industry/government bodies like DEMIRS WA and Engineers Australia. Research interests include metamaterials, structural strengthening, and dynamic response analysis under impact and blast loads. Key awards include the Curtin Early-Career Researcher of the Year and Western Australian Premier’s Science Award nominations. He supervises over 20 PhD students and teaches courses in structural analysis and dynamics. His work emphasizes sustainable, resilient infrastructure with applications in building envelopes, seismic control, and tunnel safety under explosive threats.
