جست‌وجوی استاد و پژوهشگر

Charles Hokeمشاهده پروفایل

مدرس ارشد

• Aerodynamics
• Computational Fluid Dynamics
• Flapping Foil Power Generation
• +۳ مورد دیگر

Dr. Charles Hoke serves as a Senior Lecturer in the School of Engineering and Technology at UNSW Canberra, specializing in computational aerodynamics and energy harvesting systems. His academic foundation includes a Bachelor's in Engineering Mechanics from UC San Diego (2000) and a Master's in Aeronautics and Astronautics from Stanford University (2001), with ongoing PhD studies at UNSW Canberra. His educational background comprises: Bachelor of Science in Engineering Mechanics, University of California, San Diego (2000) Master of Science in Aeronautics and Astronautics, Stanford University (2001) PhD candidate in Engineering, University of New South Wales, Canberra (present) Dr. Hoke's research centers on unsteady fluid-structure interactions, with primary focus areas: Computational investigation of flapping foil power generation systems Active flexibility mechanisms and near-wall flow effects Hypersonic shock-structure interaction phenomena Energy harvesting applications from oscillating foils Analysis of his publication history (2004-2024) reveals a progressive research trajectory from missile aerodynamics (2004) to advanced computational studies of bio-inspired propulsion systems. Recent works (2023-2024) demonstrate significant innovations in active morphing techniques for power extraction efficiency and high-fidelity modeling of hypersonic fluid-thermal-structural interactions, reflecting his dual expertise in defense applications and renewable energy solutions. His professional experience includes eight years as a US Air Force officer (2000-2008), serving as Aeronautical Engineer at the Air Force Research Laboratory and Assistant Professor at the Air Force Academy where he directed courses in aerodynamics and computational fluid dynamics, followed by four years as Lead Aerodynamicist at Raytheon Missile Systems (2008-2012).

• Educational Technology
• Student Engagement
• Online Learning
• +۳ مورد دیگر

Dr. Niharika Singh is a Lecturer in the UniSQ College (Pathways) at the University of Southern Queensland. She holds a BEd from the South Pacific, an MSc from the South Pacific, and a PhD from USQ. Her research spans two primary areas: educational technology and fluid dynamics. In education, she focuses on student engagement in online learning environments, interactive technologies, and widening participation programs. In fluid dynamics, her work examines solitary waves, nonlinear wave behavior, and oceanographic models. She received Seed Funding Early Research Career grant in 2023 and serves as an Associate Supervisor for doctoral research exploring effective teaching practices for remote students. Her educational research includes studies on Panopto video analytics, embedded quizzes in lecture videos, and the impact of filmic 'dark academia' on academic identity. Her fluid dynamics work analyzes modulational instability in rotating oceans and soliton dynamics in two-layer systems. Dr. Singh contributes to the academic community through affiliations with UniSQ College and collaborations on projects like Third Space Theory applications in pathways education. She has published extensively across these fields, with recent work appearing in journals like Technology, Pedagogy and Education and Wave Motion .

Liz Ratnamمشاهده پروفایل

دانشیار

• Control of Power Systems
• Optimization of Energy Systems
• Secure and Resilient Power Grids
• +۳ مورد دیگر

Associate Professor Liz Ratnam is a leading academic in the Department of Electrical and Computer Systems Engineering at Monash University, serving as Deputy Postgraduate Director of Education ECSE. Her expertise spans power systems control, energy optimization, and resilient grid design. She holds a BEng (Hons I) and PhD in Electrical Engineering from the University of Newcastle (2006 and 2016), with postdoctoral research at UC San Diego and Berkeley. She previously served as Senior Lecturer and Sub-Dean for Educational Programs at ANU's College of Engineering & Computer Science, supported by a Future Engineering Research Leader (FERL) Fellowship. Her current research focuses on advancing transactive energy markets, EV coordination in distribution networks, and secure grid operations. She leads major grants including the National Facility for Electricity Grid Security (ARC LIEF 2023) and projects on EV fast-charging infrastructure. Education Background: - BEng (Hons I) in Electrical Engineering, University of Newcastle (2006) - PhD in Electrical Engineering, University of Newcastle (2016) Research Interests: Resilient, carbon-neutral power grid design Control and optimization of energy systems Synchrophasor-based estimation for grid stability Transactive multi-agent systems for energy markets Electric vehicle integration and coordination in unbalanced grids Grants & Projects: ARC Linkage Infrastructure Grant LE23010058 (2023): National Facility for Electricity Grid Security ARC Discovery Project DP22010135 (2022): Neural Architecture Search for Deep Learning ARC Linkage Project LP21200473 (2022): Building Australia's EV Fast-Charging Infrastructure Awards & Memberships: Fellow of Engineers Australia Senior Member of IEEE FERL Fellowship (ANU)

• Geometric Analysis
• Differential Geometry
• Partial Differential Equations
• +۳ مورد دیگر

Haotian Wu is a Senior Lecturer in the School of Mathematics and Statistics at The University of Sydney, where he maintains an active research program in geometric analysis. His academic appointments include membership in the Geometry, Topology and Analysis Research Group, and he has been involved in organizing significant mathematical events including the AMSI Summer School 2025 and the Symposium on Geometric Analysis and Non-linear PDEs. Dr. Wu's educational background includes a PhD in Mathematics from The University of Texas at Austin (2013) and dual Bachelor's degrees in Mathematics and Physics from Lafayette College (2007). His research aligns with the University's Faculty of Science Research Strengths in Understanding the Universe, Fundamental Laws of Nature, and Complex Systems. Wu's research focuses on geometric evolution equations, particularly Ricci flow and mean curvature flow. His work investigates singularity formation, stability properties, and asymptotic behavior in these flows, with significant contributions to understanding Type-II singularities. His research bridges pure mathematics and mathematical physics, with applications to general relativity and geometric analysis. He has developed novel analytical techniques for studying nonlinear partial differential equations arising in geometric contexts. Analysis of Wu's publication record shows a consistent trajectory of high-impact research in geometric analysis, with increasing focus on numerical methods for studying geometric flows in recent years. His work demonstrates strong international collaboration, particularly with researchers in the United States, including notable collaborations with Garfinkle, Isenberg, Knopf, and Zhang. The publications reveal a progression from foundational work on Ricci flow to increasingly sophisticated analyses of mean curvature flow and related geometric evolution equations. Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) 2018 for 'Singularity Analysis for Ricci Flow and Mean Curvature Flow' Faculty of Science Faculty Startup Scheme 2023 for 'Elliptic and parabolic problems in geometric analysis' Dr. Wu currently supervises research students including Alexander BEDNAREK (working on General Kahler Ricci Flow) and Tiernan CARTWRIGHT (working on Hölder regularity of solutions to degenerate complex Monge–Ampère equations). He has received multiple research grants supporting his work in geometric analysis. Wu has been actively involved in teaching undergraduate mathematics courses including MATH1021 Calculus of One Variable, MATH2061 Linear Mathematics and Vector Calculus, and specialized courses like MATH3968 Differential Geometry. As an active member of the mathematical community, Wu co-organizes significant research events including the AMSI Summer School 2025 and the International Conference on Nonlinear Partial Differential Equations honoring Professor Neil Trudinger's 80th birthday. His research group focuses on geometric analysis problems with connections to mathematical physics and differential geometry.

Sahani Pathirajaمشاهده پروفایل

مدرس

• Data Science
• Bayesian Inference
• Stochastic Analysis
• +۷ مورد دیگر

Dr. Sahani Pathiraja is a Lecturer (tenure track assistant professor) at UNSW Sydney , specializing in Data Science . Her research bridges mathematical and statistical foundations with practical applications in environmental and biomedical sciences. Research Focus : Sequential Bayesian inference, Monte Carlo methods, stochastic analysis of non-linear filtering, uncertainty quantification, and real-time parameter estimation. Current Projects : Co-investigator in the ARC Industrial Transformation Training Centre: Data Analytics for Resources and Environment (DARE) and the Next Generation Graduate Program (NGGP) in Sports Data Science and AI . Research Supervision : Dr. Pathiraja supervises PhD students in areas including: Bayesian inference Stochastic differential equations Data assimilation Non-linear filtering Scientific Collaborations : Her work intersects with environmental science, biomedical applications, and machine learning. Projects include stochastic hydrology, SDEs, and operator learning for environmental systems. Contact Information : Email: s.pathiraja@unsw.edu.au Phone: +61 2 8065 0836 Office: Room 2070, Level 2, The Red Centre, UNSW Sydney

• Computational Neuroscience
• Neuroimaging
• Connectomics
• +۱۰ مورد دیگر

Professor Michael Breakspear is an internationally recognized leader in computational neuroscience, brain imaging, and translational neurotechnology at the University of Newcastle's School of Psychological Sciences. His research bridges complex systems theory, mathematical modeling, and clinical neuroscience to advance understanding of brain dynamics in health and disease through interdisciplinary collaboration across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. Professor Breakspear holds a Doctor of Philosophy from the University of Sydney, along with multiple undergraduate degrees including a Bachelor of Medicine and Bachelor of Surgery. His academic journey includes professorial appointments at the University of Sydney (School of Physics), University of Queensland (School of Psychiatry), and University of Western Sydney (School of Psychiatry), where he progressed from Post-doctoral Research Fellow to Associate Professor. Current: Professor, University of Newcastle, School of Psychological Sciences 2017-present: Principal Research Fellow, National Health & Medical Research Council 2017-present: Senior Scientist and Head, QIMR Berghofer Medical Research Institute 2012-2017: Professor (adjunct), University of Sydney, School of Physics 2011-present: Professor (adjunct), University of Queensland, School of Psychiatry 2007-2012: Associate Professor, University of Western Sydney, School of Psychiatry Professor Breakspear's research program integrates expertise across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. His core expertise includes computational neuroscience (modeling brain dynamics using nonlinear systems theory), neuroimaging and connectomics (pioneering methods to analyze brain networks), brain disorders and mental health (applying computational models to disorders like schizophrenia and bipolar disorder), and neurotechnology and AI (developing machine learning techniques for imaging biomarkers). His recent publications demonstrate a strong focus on brain dynamics, neuroimaging techniques, and applications to psychiatric and neurological disorders. His work spans theoretical frameworks to clinical applications, with particular emphasis on understanding the neural basis of mood disorders, Alzheimer's disease, and psychosis, employing advanced computational approaches to uncover fundamental principles of brain organization and dysfunction. Senior Researcher Award (2017) Principal Research Fellow, National Health & Medical Research Council (2017-present) Professor Breakspear actively collaborates with clinical researchers, engineers, and technology developers to translate theoretical frameworks into practical diagnostic and therapeutic innovations. He provides leadership in training programs at the nexus of neuroscience, mathematics, and data science, fostering the next generation of interdisciplinary researchers through mentorship and collaborative projects that bridge theoretical and clinical domains.

• Power electronics
• Renewable energy
• Nonlinear dynamics and chaos
• +۷ مورد دیگر

Professor Herbert Ho Ching Iu is a distinguished academic at The University of Western Australia, serving in the School of Engineering within the Department of Electrical, Electronic and Computer Engineering. With an impressive research portfolio of over 500 publications and an h-index of 61, Prof. Iu has established himself as a leading authority in power electronics and nonlinear systems research. Prof. Iu received his BEng(Hons) in Electrical and Electronic Engineering from The University of Hong Kong in 1997, followed by a PhD in Electronic and Information Engineering from The Hong Kong Polytechnic University in 2000. After a brief research fellowship at HKPU, he joined The University of Western Australia in 2002 as a Lecturer and has since risen to the rank of full Professor. His primary research focuses on power electronics , renewable energy systems , nonlinear dynamics and chaos , current sensing techniques , and memristive systems . Prof. Iu's work uniquely bridges theoretical exploration with practical implementations, particularly in energy conversion, secure communications, and neuromorphic computing. His research has significant implications for DC microgrids, advanced encryption techniques, and next-generation computing paradigms. Analysis of Prof. Iu's recent publications reveals a strong interdisciplinary trajectory combining memristive systems with chaotic dynamics for applications in image encryption and secure communications . There's a notable emphasis on machine learning techniques applied to power electronics and energy systems , particularly for DC microgrids and battery management. His work demonstrates consistent progression from fundamental research in nonlinear systems to practical engineering solutions with real-world impact. Prof. Iu's significant contributions have been recognized with several prestigious awards: Vice-Chancellor's Award for HDR Supervision (2024) School of Engineering Award for Research Mentorship (2023) Vice Chancellor's Award in Research Mentorship (2023) With 18 supervised research students and leadership on 16 research grants, Prof. Iu has built a robust research program at the forefront of power systems innovation. His grant portfolio includes major projects like 'Mine Electrification' and 'Microgrid Battery Deployment' through the CRC for Future Battery Industry, as well as collaborations with Western Power on 'Project Symphony.' These initiatives demonstrate his ability to secure substantial funding and translate theoretical concepts into practical engineering solutions for industry. Prof. Iu leads a dynamic research team that specializes in hardware implementation of advanced theoretical concepts, particularly in memristive systems and chaotic circuits. The laboratory maintains strong industry connections, especially with energy and mining sectors, ensuring research has tangible real-world applications. Current work emphasizes DC microgrid technologies, advanced battery systems for electrified transportation, and novel applications of chaotic systems in security contexts, positioning the team at the cutting edge of power electronics research.

Yuerui (Larry) Luمشاهده پروفایل

دانشیار

• MEMS/NEMS sensors and actuators
• nano-manufacturing technologies
• renewable energy harvesting
• +۷ مورد دیگر

Yuerui (Larry) Lu is an Associate Professor at the Australian National University (ANU), serving as Program Manager and Chief Investigator at the ARC Centre of Excellence for Quantum Computation and Communication Technology. He holds a Ph.D. from Cornell University (Electrical and Computer Engineering) and a B.S. from the University of Science and Technology of China (Applied Physics). His research focuses on MEMS/NEMS sensors, nano-manufacturing, renewable energy, and quantum materials integration. Key research interests include 2D quantum materials, optoelectronic devices, energy harvesting for flexible electronics, and biomedical sensors. Lu has authored over 100 peer-reviewed articles, with notable contributions in Nature , Nature Communications , and Chemical Reviews . He is an Associate Editor of Scientific Reports and a reviewer for journals like Advanced Materials and Nano Letters . Awards: ACT Young Tall Poppy (2016), DECRA Fellowship (2014), MRS Graduate Student Award (2012). Leadership: Co-founded the ARC Quantum Centre, leading projects in quantum photonics and nanofabrication. His work bridges fundamental physics and applied nanotechnology, with applications in wearable biosensors, renewable energy systems, and quantum communication devices.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Kit Yan Chan is a Senior Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University. His research focuses on Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with applications in wireless communications, signal processing, and power systems. He has held editorial roles in journals such as Neurocomputing, Sensors, and the International Journal of Ad Hoc and Ubiquitous Computing. His teaching spans courses like Transmission and Interface Design, Advanced Research in AI, and Mobile Cloud Computing. Dr. Chan's work emphasizes interdisciplinary approaches, combining computational intelligence with engineering challenges. He has contributed to over 100 publications in areas such as resource allocation in heterogeneous networks, deep learning for load forecasting, and underwater acoustic communication systems. His research bridges theoretical advancements and practical implementations, addressing real-world problems in telecommunications, energy systems, and smart technologies. His recent projects include optimizing energy efficiency in 5G networks, developing robust power control strategies, and advancing neural network architectures for real-time applications. Collaborations with industry and global institutions underscore his commitment to impactful research.

• Battery Management Systems
• Electric Vehicles
• Lithium-ion Batteries
• +۱۴ مورد دیگر

Professor Weixiang Shen is a full Professor in the Department of Engineering Technologies at the School of Engineering, Swinburne University of Technology, Melbourne, Australia. He holds a PhD in Electrical Engineering and has extensive academic experience across China, Germany, Singapore, and Malaysia. Bachelor of Engineering (BEng), Electrical Engineering Master of Engineering (MEng), Electrical Engineering Doctor of Philosophy (PhD), Electrical Engineering His research focuses on battery management systems for electric vehicles and renewable energy integration. Key areas include battery capacity estimation, charging strategies, fault diagnosis, thermal and mechanical management, and grid integration of EVs. He employs advanced techniques such as physics-informed machine learning, electrochemical modeling, and multidimensional sensing to enhance battery safety and performance. His recent publications (2024–2025) reveal a strong trend toward intelligent battery health monitoring, degradation modeling, and innovative thermal management using origami-inspired designs. These works appear in top journals like Applied Energy , IEEE Transactions , and Journal of Energy Chemistry . Associate Editor, IET Power Electronics Editorial Board Member, Journal of Energy Storage Founding Board Member, Vehicles Guest Editor, Applied Energy , Journal of Cleaner Production , Energy General Chair, ICEEE2018 Program Chair, CoEEPE2023 Professor Shen actively supervises PhD and Master’s students in areas such as battery fault diagnosis, energy storage, and control systems. His research is supported by grants from the Australian Research Council, Department of Industry, Science and Resources, and industry partners. He leads projects on intelligent energy management, battery testing, and EV control systems. His lab explores cutting-edge topics including solid-state batteries, multidimensional sensing, and origami-based thermal solutions for battery packs.

• Partial differential equations
• Optimal transportation
• Geometry
• +۵ مورد دیگر

Dr. Jiakun Liu is an Associate Professor at the School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Australia. He has held this position since January 2022 and maintains an active research program in nonlinear partial differential equations with applications in geometry and optimal transportation. His work has been published in top mathematical journals including Annals of Mathematics, Inventiones Mathematicae, and Communications on Pure and Applied Mathematics. Dr. Liu received his PhD from The Australian National University, Australia. His academic journey includes prestigious fellowships such as the Simons Postdoctoral Fellowship and the Australian Research Council's Discovery Early Career Researcher Award (DECRA). Dr. Liu's primary research focuses on nonlinear elliptic and parabolic partial differential equations, with special emphasis on the regularity theory of Monge-Ampère equations, Hessian equations, and other variational problems. His work extends to related areas of geometry and physics, including the geometry of convex bodies, minimal surfaces, surfaces of prescribed curvatures, and geometric flows. His research has significant applications in optimal transportation theory, which connects mathematical analysis with practical problems in economics, physics, and computer science. Analysis of Dr. Liu's recent publications reveals a strong focus on regularity theory for Monge-Ampère equations and optimal transportation problems. His work spans pure mathematical theory (regularity of solutions, singular sets, free boundaries) while maintaining connections to geometric applications and practical problems. A notable trend is the increasing interdisciplinary nature of his research, with recent work connecting optimal transport to statistical methods and computer science applications. Dr. Liu has received several prestigious awards and fellowships: UIC International Links Scheme (University of Wollongong, 2015) Discovery Early Career Researcher Award (DECRA) from Australian Research Council Discovery Project (DP170100929) from Australian Research Council Shiing-Shen Chern Mathematical Scholarship from Zhejiang University Simons Foundation Simons Postdoctoral Fellowship Dr. Liu is actively involved in mentoring the next generation of mathematicians, having supervised numerous PhD students including Siyuan Li, Jihang Zhang, Phung Trong Thuc, Yating Wu, and Meng Ji. He has also guided honours students such as Matthew Hughes, Luke McDonald, and Brad Rice. His research is supported by multiple grants, including "Singularity and regularity for Monge-Ampere type equations" (2023-2026), "Monge-Ampere type equations and their applications" (2023-2027), and "Monge-Ampere equations and applications" (2020-2024), demonstrating sustained funding for his research program. Dr. Liu is an active participant in the mathematical community, organizing conferences such as the International Conference on Nonlinear Partial Differential Equations (honoring Professor Neil Trudinger's 80th birthday) and the 4th Australia-China Joint Conference on Geometric Analysis. He maintains collaborative relationships with researchers across Australia, China, and internationally, contributing to a vibrant research environment in geometric analysis and PDEs.

• Electromagnetics
• Wireless Power Transfer
• Renewable Energy
• +۳ مورد دیگر

Dr. Sid Assawaworrarit is a Lecturer in the School of Electrical and Computer Engineering at the University of Sydney, holding a prestigious Sydney Horizon Fellowship. His research focuses on electromagnetics for energy applications, including wireless power transfer, renewable energy harvesting via radiative cooling, and photonic transformers. Education: Bachelor's degree from California Institute of Technology (Caltech) Master's and PhD in Electrical Engineering from Stanford University. Research Interests: Wireless power transfer to moving devices Nighttime solar cell energy harvesting Photonic transformer design for noiseless DC voltage conversion Thermal radiation engineering for energy systems Scientific Awards: Web of Science 1% Highly Cited Paper in Physics (2020) Grants: 2024 Net Zero Ambassadors Program grant for energy harvesting from thermal radiation His work bridges fundamental physics with practical energy solutions, contributing to sustainable energy systems and next-generation electronic devices.

John A G Robertsمشاهده پروفایل

استاد

• Nonlinear dynamical systems
• Integrable dynamical systems
• Symmetry and Time-reversal symmetry
• +۳ مورد دیگر

John A G Roberts is a Professor and Deputy Head of the School of Mathematics and Statistics at the University of New South Wales (UNSW), Sydney. He serves as Chief Investigator of the ARC Centre of Excellence MASCOS and is Vice-President of the Australian Mathematical Society. His academic career spans several decades with significant contributions to nonlinear dynamical systems research. Roberts' research primarily focuses on nonlinear dynamical systems, with particular expertise in integrable dynamical systems, symmetry and time-reversal properties, and algebraic dynamics. His work bridges pure mathematics with applications in mathematical physics, exploring the deep connections between arithmetic properties and dynamical behavior. He has developed novel approaches to understanding integrability through algebraic and arithmetic methods, particularly in the context of discrete systems. Analysis of his recent publications reveals a strong emphasis on algebraic entropy, lattice equations, and the arithmetic structure of dynamical systems over finite fields. His work demonstrates consistent innovation in applying number-theoretic methods to dynamical problems, with a particular focus on symmetry properties and integrability criteria for discrete systems. The interdisciplinary nature of his research connects mathematical physics, algebraic geometry, and computational mathematics. Chief Investigator of the ARC Centre of Excellence MASCOS Vice-President of the Australian Mathematical Society Roberts actively supervises PhD students and has collaborated with numerous research associates including Dinh Tran, Alina Ostafe, Natascha Neumaerker, and Danesh Jogia. He has organized several major conferences including the Workshop on Algebraic, Number Theoretic and Graph Theoretic Aspects of Dynamical Systems (Sydney, 2015) and Dynamics Days Asia Pacific 6 (Sydney, 2010), demonstrating his leadership in the international dynamical systems community. His research program maintains strong connections with institutions worldwide, particularly with collaborators in Europe and North America.

• Structural Engineering
• Composite Materials
• Impact Mechanics
• +۳ مورد دیگر

Dr. Mike Bambach is a Senior Lecturer at the University of Sydney's School of Civil Engineering, where he also serves as Director of the Centre for Advanced Structural Engineering and Undergraduate Program Director for Civil Engineering. His research spans composite materials, crashworthiness, and structural optimization. Structural Engineering Composite Material Analysis Road Safety & Impact Mechanics Research Interests Dr. Bambach investigates advanced structural systems using fiber-reinforced polymers (FRP), natural fiber composites for sustainable construction, and crash energy absorption in transportation systems. His work combines experimental testing with numerical modeling to improve structural performance under extreme loads. Recent Publications (2025-2018) Current research focuses on natural fiber composites for structural applications, hybrid metal-composite energy absorption systems, and innovative buckling control mechanisms. Key trends include sustainable material development and dynamic structural response analysis. Teaching & Supervision He teaches foundational civil engineering courses and supervises PhD/Master's students working on projects like AI-based quality control in steel fabrication, sustainable cementitious composites, and deep foundation reuse solutions.

• Adaptive systems
• Artificial intelligence
• Artificial neural networks
• +۶ مورد دیگر

Cara MacNish serves as an Associate Professor in the Department of Computer Science and Software Engineering at The University of Western Australia's School of Physics, Maths and Computing. Her academic role spans computational intelligence research and teaching with interdisciplinary applications in biomedical engineering and materials science. Her research expertise encompasses adaptive systems, artificial intelligence, neural networks, bioinformatics, cognitive science, evolutionary algorithms, machine learning, optimisation, and robotics. These converge in medical image processing (OCT denoising via GANs) and materials analysis (digital image correlation for displacement fields), reflecting her dual focus on algorithmic innovation and real-world engineering solutions. Recent publications demonstrate consistent advancement in two domains: deep learning applications for Optical Coherence Tomography enhancement (using GANs and deep feature loss) and novel digital image correlation techniques for materials science (handling discontinuities and nonlinear behavior). These areas show growing citation impact in medical imaging and fracture mechanics. MacNish has supervised 3 research students and secured 4 competitive grants, including Office for Learning & Teaching projects on engineering education (student experiences and gender inclusivity) and Defence Science and Technology Group funding for red teaming computational tools, alongside university research on evolutionary programming for code analysis. She maintains active collaborations across biomedical optics and materials engineering disciplines, evidenced by co-authorship with clinicians, computer scientists, and mechanical engineers on interdisciplinary projects addressing complex imaging and material behavior challenges.