Find Academic Supervisors

Professor Natalie Thamwattana holds a position at the University of Newcastle's School of Information and Physical Sciences, specializing in Mathematics. She has been recognized with prestigious awards, including the 2014 JH Michell Medal and the University of Wollongong's Emerging Researchers Excellence Award. Her research focuses on applied mathematics, nanotechnology, and granular materials, with notable contributions to carbon nanostructure modeling and electrorheological fluids. Natalie has supervised ten PhD students, many of whom now hold academic and research roles globally. Education: Doctor of Philosophy in Applied Mathematics, University of Wollongong Research Interests: Natalie's work bridges mathematics and interdisciplinary applications, including nanomechanics, mathematical modeling of nanostructures (e.g., carbon nanotubes, graphene), and fluid dynamics. She pioneered studies on granular materials' exact solutions and developed continuum models for molecular interactions. Her contributions extend to environmental applications, such as permeable reactive barriers and dye-sensitized solar cells. Grants & Collaborations: ARC Discovery Project (2017-2019) on electromaterials for energy ARC Linkage Project (2020-2022) on clogging in reactive barriers Collaborations with engineering, computer science, and medical fields Awards & Recognition: Fellow of the Australian Mathematical Society Fellow of the Royal Society of New South Wales Featured in the 'Women of Mathematics' exhibition Labs & Leadership: Natalie directed the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) and co-directed the Mathematics in Industry Study Group (MISG). She is actively involved in promoting gender equity in mathematics through roles in WIMSIG and outreach programs targeting high school students.

• Applied Mathematics
• Nanotechnology
• Granular Materials
• +3 more

Professor Mike Meylan is an applied mathematician at the University of Newcastle 's School of Information and Physical Sciences ( Department of Mathematics ). His work bridges differential equations, wave scattering, and hydroelasticity, with applications to ocean engineering, ice floe dynamics, and railway infrastructure. He has received multiple Australian Research Council grants and collaborates internationally with institutions like the University of Cambridge and Indian Institute of Technology Kharagpur. Research interests include Wave propagation in ice shelves and marginal ice zones Wave energy conversion using piezoelectric plates Fluid-structure interactions in marine environments Mathematical modeling of railway ballast scour Development of eigenfunction matching and singularity-respecting numerical methods Recent publications focus on Time-domain vibration analysis of cracked and circular ice shelves Acoustic-gravity wave dynamics in compressible oceans Wave scattering by porous barriers and heterogeneous plates His work has been published in Nature , Journal of Fluid Mechanics , and Proceedings of the Royal Society . He serves as Editor-in-Chief of the ANZIAM Journal and Associate Editor for Wave and Tidal Energy at Frontiers in Energy Research . Awards include the 2012 Teaching Award at the University of Newcastle.

• Partial Differential Equ
• Wave Scattering
• Hydroelasticity
• +5 more

Dr. Peter Van Der Kamp is a Senior Lecturer in Mathematics at La Trobe University's School of Mathematics & Statistics. His research focuses on integrable systems, particularly algebraic and geometric properties of nonlinear differential and difference equations. He has collaborated extensively on projects involving Poisson algebras, Lotka-Volterra systems, and discrete integrable equations. Education: Doctorandus (Theoretical Physics) from Vrije Universiteit (VU Amsterdam), Netherlands PhD (Mathematics) from Vrije Universiteit (VU Amsterdam), Netherlands Research Interests: Dr. Van Der Kamp's work spans integrable systems, with emphasis on: Development of discrete integrable equations Analysis of Lotka-Volterra systems and their superintegrability Study of Darboux polynomials and preserved measures Exploration of boundary conditions in quad equations His research often intersects nonlinear dynamics, algebraic geometry, and mathematical physics. Publications Trends: Recent articles highlight advancements in: Quadratic Poisson algebras and Lambert W-function solutions Trilinear/quadrilinear lattice equations Superintegrable tree-systems and their discretizations New integrable maps in R^4 Collaborations with experts like Quispel and Nijhoff are central to his work. Grants: Australian Research Council (ARC) Discovery Project: 'Discrete integrable systems' (2011–2015) Labs/Teams: Active contributor to the La Trobe University Mathematics group, focusing on discrete integrability and nonlinear systems research.

• Integrable Systems
• Nonlinear Differential Equations
• Difference Equations
• +3 more

Professor Troy Farrell is the Executive Dean of the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD (QUT) and B.Sc (Hons) from the University of Newcastle. His expertise lies in applied mathematics and physical chemistry, focusing on industrial systems like batteries, solar cells, and biomass processing. He leads major research projects in electrochemical nano-diodes, metal-air batteries, and coal seam gas modeling. Professor Farrell has secured over $2.8M in external funding and led national initiatives such as the Mathematics in Industry Study Group (MISG) and the ATN Industry Doctoral Training Centre. He is a Fellow of the Queensland Academy of Arts and Sciences and has received prestigious awards for his research and teaching. His teaching focuses on mathematical modeling, partial differential equations, and calculus, emphasizing student-centered pedagogy and innovation. Key achievements include developing multiphase models for food drying, phase-field models for lithium-ion batteries, and population balance models for biomass pretreatment. Research Projects: Mathematical modeling of biofuel production from cellulosic materials Electrochemical nano-diodes using Poisson-Nernst-Planck models Optimization of lithium-air batteries for secondary power Multiscale modeling of porous materials with hybrid continuum/particle methods Agrochemical uptake in plant cuticles Awards: ANZIAM Mid-Career Research Award (2015) QUT Vice-Chancellor's Award for Partnerships (2013) Australian Government Citation for Teaching Excellence (2006) Teaching & Leadership: Professor Farrell pioneered innovative teaching methods recognized by the Carrick Institute, coordinating undergraduate and postgraduate programs in Mathematical Sciences. He has mentored over 13 doctoral students and actively bridges academia-industry collaboration through leadership roles in MISG and the ATN IDTC. His work emphasizes translating mathematical models into real-world solutions for energy, agriculture, and environmental sectors. Labs & Teams: He oversees interdisciplinary teams at QUT specializing in electrochemical systems, porous media modeling, and industrial mathematics. Current collaborations include projects with sugar cane industries, battery manufacturers, and coal seam gas operators to address challenges like biomass storage safety and energy storage optimization.

• Applied Mathematics
• Electrochemical Systems
• Multiscale Porous Media Modeling
• +4 more

Dr. Cam Minh Tri Tien is a Postdoctoral Research Fellow at the University of Southern Queensland (USQ), affiliated with the Centre for Future Materials and the iLAuNCH research group, within the School of Engineering. His expertise spans composite materials, structural engineering, and numerical methods. He holds a BEng from HoChiMinhUT (2008), an MSc from Konkuk University (2010), and a PhD from USQ (2016). His research focuses on pipeline rehabilitation systems, advanced fluid dynamics simulations, and structural behavior analysis of composite materials. His work includes developing predictive models for internal replacement pipe systems under various loading conditions and advancing numerical techniques like integrated radial basis functions (RBFs) for solving complex engineering problems. Recent contributions address debonding effects in structural repairs, temperature-induced axial responses, and digital twin applications in composite component lifecycle management. Dr. Tien has supervised multiple doctoral and master’s projects, including principal supervision of a doctoral thesis on digitizing composite component workflows. His research outputs total 18312 views and 1840 downloads, with active engagement in international conferences and peer-reviewed journals.

• Composite Materials
• Structural Engineering
• Finite Element Analysis
• +3 more

A/Pr Canh-Dung Tran is an Associate Professor in Mechanical and Mechatronic Engineering at the University of Southern Queensland (USQ). He holds a PhD from USQ, an MEng from HoChiMinhUT, and a PGDipEngProc from Haute Alsace. His research focuses on electrohydrodynamics, nanomaterials, sensor technology, and computational modeling. Key contributions include innovations in self-powered sensors, electrohydrodynamic systems for drug delivery, and advanced materials for wearable electronics. Tran is affiliated with the Centre for Future Materials and the Institute for Advanced Engineering and Space Sciences. His work bridges theoretical computational methods with practical applications in healthcare, robotics, and aerospace. Notable achievements include developing carbon nanotube-based flexible electronics and ion-wind propulsion systems. His research trends emphasize interdisciplinary approaches, combining fluid dynamics with material science to create novel sensor systems and energy-efficient devices. Recent studies explore light-harvesting sensors and electrohydrodynamic nebulizers for medical use. He actively contributes to numerical methods for complex fluid simulations and multiscale modeling of polymer systems. Affiliations include leadership roles in advanced materials research centers, driving innovation in sustainable technologies and smart materials. Ongoing projects focus on expanding applications of nanomaterials in wearable health monitoring and aerospace propulsion systems.

• Electrohydrodynamics
• Nanomaterials
• Sensors and Actuators
• +3 more

Dr. Qiang Sun is a Research Fellow at RMIT University's School of Science, specializing in computational physics and engineering. He holds a PhD from University College London and has expertise developed at the National University of Singapore. His research focuses on theoretical and numerical modeling in optical physics, acoustics, fluid mechanics, and colloidal electrostatic interactions. He pioneered accessible non-singular boundary element methods (NSBEM) for solving linear PDEs, applied to nano-rheology, photocatalysts for water treatment, and heat transfer in nanofluids. He also explores deep learning applications in ocean wave prediction and archaeological geospatial analysis. Education: PhD in Physics, University College London Postdoctoral Research, National University of Singapore Research Interests: Optical Physics, Acoustics, Fluid Mechanics, Colloidal Electrostatic Interactions, and Numerical Modelling. His work bridges computational methods with real-world applications like environmental engineering and quantum technologies. He emphasizes innovative techniques such as NSBEM and AI-driven problem-solving. Awards: Australian Research Council Discovery Early Career Researcher Award (2015) Advising & Grants: Supervises PhD/Masters research projects including Quantum Keynesian Game (2024), Cooperative Localisation (2023), and Metabolic Pathway Analysis (2021). Active in securing grants for computational and environmental research projects. Labs & Collaborations: Engaged in cross-disciplinary collaborations, including Wolfram User Conferences and the Australian Institute of Physics. His work spans academia-industry partnerships in computational research and environmental solutions.

• Optical Physics
• Acoustics
• Fluid Mechanics
• +6 more

Professor Andrew Eberhard holds the position of Deputy Head of Department (Research and Innovation) in the Department of Mathematical and Geospatial Sciences (MGS) at RMIT University's School of Science. He has also served as Deputy Director of the Australian Mathematical Sciences Institute (AMSI) and currently sits on its board. His academic journey includes visiting professorships at institutions such as the University of Perpignan (France), Dalhousie University (Canada), and Blaise Pascal University (France). He has contributed significantly to optimization theory and applications, including roles as Co-chair of the AustMS special interest group (MoCaO) from 2018–2024 and Program Leader of the Platform Technologies Research Institute (2012–2015). Professor Eberhard's research focuses on nonsmooth analysis, convex functions approximation, optimization algorithms, and their applications in control theory, signal processing, and economic modeling. He has applied his theoretical work to real-world challenges like utility function estimation, air traffic flow management, and blood inventory optimization. His recent work includes advancements in stochastic optimization with integer variables and machine learning integration for enhancing algorithm performance. He has been an invited speaker at prestigious events such as the International Conference on Applied Mathematics (2024, Vietnam), Variational and Nonsmooth Analysis (2024, Hong Kong Polytechnic University), and ANZIAM's plenary session (2012, Australia). His teaching interests emphasize nonsmooth analysis and its interdisciplinary applications. Professor Eberhard has supervised numerous research projects, including those on hyperparameter optimization in machine learning, MIMO signal processing, and asset protection routing. His grants include leadership roles in developing algorithms for stochastic integer programming and multi-criteria decision-making under uncertainty. He collaborates actively through the Platform Technologies Research Institute and is affiliated with multiple academic journals as an editor or reviewer.

• Optimization Theory
• Machine Learning
• Convex Analysis
• +7 more

Prasad Yarlagadda is an Adjunct Professor in the School of Mechanical, Medical & Process Engineering at Queensland University of Technology (QUT) . He leads the Smart Systems Research group and has held roles such as Director of Smart Systems Research and Professor. His research focuses on Smart Systems, Rapid Prototyping, Medical Implants, and Advanced Manufacturing . Education: PhD (Indian Institute of Technology, Bombay), ME (Bharathiar University), BTech (Nagarjuna University). He is a Fellow of multiple institutions including the Institution of Engineers (Australia & India) and the World Academy of Manufacturing and Materials Engineering. Research Interests: His work spans Rapid Prototype Manufacturing , Control Systems for Welding , Biomedical Applications of Titanium , and Solar Energy Systems . His team explores innovations like antibacterial nanostructured surfaces for implants and microwave energy in manufacturing. Publications: His recent work includes advancements in 3D printing biomedical materials, hospital capacity optimization, and modular bone scaffold designs. Key themes include biomedical engineering, materials science, and operational efficiency in healthcare. Awards: Recipient of the 2007 Fryderyk Staub Golden Owl Award (Poland), 2004 Global Research Award, and multiple QUT awards for research and teaching innovation. Grants & Projects: Secured over $3M in funding for projects like solar energy concentrators, rapid tooling techniques, and airport productivity analytics. Collaborates with global institutions such as Singapore Institute of Manufacturing Technology and Korean Institute of Industrial Technology. Labs & Teams: Leads interdisciplinary research groups in additive manufacturing, biomaterials, and smart systems. His teams address challenges in healthcare, aerospace, and sustainable manufacturing.

• Smart Systems
• Rapid Prototype Manufacturing
• Control Systems
• +6 more

Dr Michael Dallaston is a Senior Lecturer in Applied and Computational Mathematics at Queensland University of Technology's School of Mathematical Sciences. His research focuses on theoretical fluid dynamics, interfacial flows, porous media dynamics, and mathematical modelling of complex fluid systems. He holds a PhD from QUT and teaches advanced mathematics courses such as MXB322 (Partial Differential Equations) and MZB126 (Engineering Computation). His research interests include fluid instability mechanisms, thin film equations, and numerical methods for partial differential equations. Notable work includes studies on Hele-Shaw flows, thermocapillary instability, and chemotaxis-driven cellular dynamics. He has collaborated on projects involving nonlinear dynamics, asymptotic analysis, and computational fluid dynamics. Publications highlight contributions to understanding interfacial hydrodynamics, singularity formation in thin films, and convective instabilities in porous media. His work bridges applied mathematics with real-world applications in environmental and biomedical systems. Grants and supervision activities are central to his academic contributions, though specific details are not explicitly listed here.

• Theoretical Fluid Dynamics
• Interfacial Flows and Instability
• Flow in Porous Media
• +4 more

Holger R. Dullin is a Professor of Applied Mathematics at the University of Sydney's School of Mathematics and Statistics. His research spans multiple areas of dynamical systems theory with particular emphasis on Hamiltonian systems. He maintains an active research program with consistent publications in top mathematical physics journals and teaches advanced courses including Lagrangian and Hamiltonian Dynamics (MATH3977), Nonlinear ODEs (MATH3063), and Linear Algebra (MATH1902). Dullin's research focuses on Hamiltonian Dynamical Systems , with significant contributions to Integrable Systems (particularly topology, action-angle variables, and Hamiltonian/Quantum Monodromy), Classical Mechanics (N-body problems, rigid body dynamics), Bifurcation Theory (twistless bifurcations, Hamiltonian Hopf), and Fluid Dynamics (Euler equations). His work often bridges pure mathematics with physical applications, especially in celestial mechanics and biomechanics. He has developed novel approaches to understanding geometric phases, symplectic invariants, and the dynamics of Hamiltonian maps including billiards. Analysis of his recent publications reveals a consistent focus on monodromy phenomena across different physical systems, regularization techniques for singularities in dynamical systems, and stability analysis of fluid flows. His work shows increasing interdisciplinary connections between mathematical physics, quantum mechanics, and celestial mechanics, with several papers exploring the geometric structure of integrable systems and their quantum counterparts. The research demonstrates sophisticated mathematical techniques applied to concrete physical problems. Dullin maintains an active research group evidenced by numerous collaborations with mathematicians internationally. His work on the Kovalevskaya top, documented in his PhD thesis and subsequent publications, remains influential in the field of integrable systems. He has developed visualization techniques for complex dynamical systems, including Poincaré sections and energy surfaces in action space.

• Hamiltonian Dynamical Systems
• Integrable Systems
• Classical Mechanics
• +5 more