جست‌وجوی استاد و پژوهشگر

• Mathematical Physics
• Numerical Methods
• Plasma Physics
• +۴ مورد دیگر

David Pfefferle is a **Senior Lecturer** at the **University of Western Australia (UWA)** in the **School of Physics, Maths and Computing**, Department of Mathematics and Statistics. He holds a PhD from the Swiss Federal Institute of Technology Lausanne (EPFL) and has held postdoctoral roles at EPFL and Princeton Plasma Physics Laboratory (2015–2017). His research focuses on **differential geometry applications in classical mechanics**, **structure-preserving numerical methods**, and **fusion plasma physics**, particularly magnetohydrodynamics (MHD) equilibria and computational plasma modeling. **Research Interests**: He explores geometric mechanics frameworks, including Lagrangian/Hamiltonian dynamics and symmetry principles, alongside advanced numerical techniques like symplectic integrators and high-performance computing. His work addresses challenges in plasma confinement, magnetic helicity, and field-line topology, with applications to fusion energy research. He also contributes to Monte Carlo simulations for radiation shielding in medical physics. **Awards & Activities**: Pfefferle has received the **Student Choice Award (2020)** and **Best Poster Prize (2013)**. He actively participates in conferences, workshops, and peer-review activities for journals such as *Physics of Plasmas* and *Nuclear Fusion*. His editorial contributions highlight his engagement with plasma physics and computational mathematics communities. **Collaborations & Expertise**: His interdisciplinary work spans plasma physics, applied mathematics, and computational science. He collaborates globally on projects involving plasma equilibrium modeling, numerical methods, and fusion energy research. His expertise aligns with UN Sustainable Development Goals related to **Clean Energy (SDG7)** and **Industry, Innovation & Infrastructure (SDG9)**.

• Cardiovascular Telehealth
• Digital Health
• Nurse-Led Care Models
• +۲ مورد دیگر

Professor Sally Inglis is a Heart Foundation Future Leader Fellow at UTS Faculty of Health, leading research on cardiovascular telehealth and digital health innovations. As Chair of CSANZ's Cardiovascular Nursing Council, she advocates for nurse-led care models and climate-conscious healthcare practices. Her expertise spans virtual care systems for heart failure, telemonitoring effectiveness, and post-discharge management. Research examines obesity's impact on arrhythmia treatment, implementation of clinician-researcher pathways, and acute coronary syndrome guidelines. Publications demonstrate leadership in cardiovascular telehealth through Cochrane reviews influencing international guidelines, analyses of heart failure program components, and climate change nursing frameworks. Recent work emphasizes equitable access and system-level implementation. Awards: Heart Foundation Future Leader Fellow CSANZ Cardiovascular Nursing Lecturer Award (2023) UTS Medal for Research Impact (2023) Grants: REINFORCING SAFE WALKER USE monitoring device (2024-2026) Hk Maker Lab 2.0 engineering design program (2022-2025) Fostering Computational Thinking in high schools (2022-2024) She promotes diversity in cardiovascular research and mentors early-career researchers in digital health applications.

• Sport Data Science
• Biomechanics
• Functional Data Analysis
• +۵ مورد دیگر

John Warmenhoven is a Lecturer at the University of Technology Sydney's School of Sport, Exercise and Rehabilitation within the Faculty of Health. His research intersects applied analytics, movement science, and meta-research, focusing on translating data science—especially functional data analysis—into real-world applications in high-performance sport, health, and defense. He co-leads national grants in the CSIRO Sports AI Consortium and has authored over 40 peer-reviewed publications. His research interests include AI-driven skill acquisition, biomechanics-informed performance optimization, and data science capability-building for defense. Dr. Warmenhoven supervises PhD students working on innovative projects ranging from sports AI to biomechanical analysis. Recent publications demonstrate trends in advanced biomechanical modeling, athlete performance diagnostics, and meta-research methodologies. He engages extensively with elite sports industries to develop practical, problem-centered research solutions.

Jiao Jiao Liمشاهده پروفایل

مدرس ارشد

• Tissue Engineering
• Regenerative Medicine
• Stem Cell Therapy
• +۵ مورد دیگر

Dr. Jiao Jiao Li is a Senior Lecturer in the School of Biomedical Engineering at the University of Technology Sydney (UTS). Her research focuses on regenerative medicine, particularly developing therapies for musculoskeletal disorders using stem cells and biomaterials. She holds honorary roles at the University of Sydney and Woolcock Institute, and is a Fellow of the Royal Society of Biology and Engineers Australia. Dr. Li earned a combined Bachelor of Biomedical Engineering (Honours I)/Bachelor of Medical Science and a PhD from the University of Sydney. Her work emphasizes interdisciplinary collaboration, integrating cell biology, nanotechnology, and data science. Key research areas include extracellular vesicles for osteoarthritis treatment, biomaterials for tissue engineering, and personalized therapies. Over 30 research awards highlight her contributions, including the 2024 Eureka Prize and Metcalf Prize for Stem Cell Research (2023). Education: BEng (Biomedical Engineering) and PhD from University of Sydney Awards: 2024 Eureka Prize, 2023 Metcalf Prize, NSW Tall Poppy Scientist (2022), and 2021 Falling Walls Lab Australia Winner Leadership: Co-Deputy Director of ARC Training Centre for Innovative BioEngineering, Board Director at Science & Technology Australia, and Equity, Diversity & Inclusion Committee Chair Dr. Li’s articles span biomaterials, stem cell therapies, and neuroengineering. Recent work includes optimizing EEG signal decoding frameworks and developing bioinks for 3D bioprinting. She advocates for STEM equity, serving as a Superstar of STEM (2021-22) to inspire underrepresented groups.

• Cryptography
• Number Theory
• Algebraic Structures
• +۲ مورد دیگر

Joseph Tonien is a Lecturer in the School of Computing and Information Technology at the University of Wollongong. His research spans cryptography, number theory, and combinatorial algorithms with applications to computer security. Dr. Tonien develops cryptographic primitives and analyzes vulnerabilities in public-key systems. Research focuses on RSA cryptosystem variants, polynomial enumeration, and algebraic structures in cryptography. Recent work establishes connections between number theory concepts and cryptographic security proofs. Tonien's publications demonstrate mathematical foundations of cryptography. Recent developments include new factorization attacks on RSA variants and enumeration methods for irreducible polynomials. He received a 2024 nomination for the Vice-Chancellor's Teaching Award for curriculum innovation in programming education. Dr. Tonien serves on program committees for cryptography conferences including AFRICACRYPT.

• Database Management
• Data Privacy
• Data Science
• +۴ مورد دیگر

Dr. Tianbing Xia is a Lecturer at the School of Computing and Information Technology, University of Wollongong (UOW), where he has been employed since 2021. He holds a PhD in Computer Science from UOW (1997–2000) and has over two decades of experience in tertiary education, research, and the IT industry. Prior to his PhD, he worked in the IT department of China Construction Bank HUBEI Province, contributing to software networking systems that earned a national-level award. His teaching spans a wide range of undergraduate and postgraduate courses, including CSIT115, CSCI 882, and others. Research interests include database management, data privacy, combinatorial code design, and computer security. He has actively supervised four Higher Degree Research students, focusing on topics like data processing optimization and cybersecurity. Dr. Xia’s research contributions span over 50 publications, with notable works in query optimization, parallel data transfer scheduling, and combinatorial matrix constructions. He has received funding for projects like Real-Time Visualisation of Intrusion Detection and Fuzzy-based Cryptography Applications . Notable recognition includes the national Technology and Advanced Development Grand Prize for a software networking system. He is currently available to supervise Masters and PhD students in data science and cybersecurity domains.

• Climate Change Corporate Reporting
• Accounting and Finance
• Corporate Social Responsibility (CSR)
• +۶ مورد دیگر

Millicent Chang is a Professor at the School of Business, University of Wollongong, Australia. She holds editorial roles as Senior Editor at the Global Finance Journal and Associate Editor at Accounting & Finance. Her research focuses on climate-related disclosures, CSR reporting, and managerial incentives, with a particular emphasis on environmental accounting and corporate governance. Previously, she served as Australian President of the Accounting and Finance Association of Australia and New Zealand (AFAANZ). Her work has been published in leading journals such as the Journal of Corporate Finance and Accounting, Auditing and Accountability Journal. She has secured ARC Discovery funding for research on insider trading disclosure delays and currently leads projects on data infrastructure in finance and carbon emission targets. Her teaching and supervision involve doctoral students exploring topics like sustainable development goals, audit markets, and health-promotion charities. Education: Background in accounting and finance, with extensive academic credentials. Service Roles: Member of the Australian Research Council’s College of Experts (2024–2026). Grants: Secured funding for projects including DFCRC Seed Grant (2024) and internal grants for data infrastructure (2018). Lab/Team: Engaged in interdisciplinary research teams focused on climate finance and corporate accountability.

Jonathan Paxmanمشاهده پروفایل

استاد

• Space Systems Engineering
• Meteor Tracking and Analysis
• Planetary Crater Detection Algorithms
• +۴ مورد دیگر

Professor Jonathan Paxman is a faculty member in the School of Civil and Mechanical Engineering at Curtin University, affiliated with the Faculty of Science and Engineering and the Office of the Provost. He holds a PhD (Cantab.) and is a Fellow of the Institute of Engineers Australia (FIEAust) and the Society for Higher Education in Australia (SFHEA). His research focuses on space systems engineering, meteor detection, planetary crater analysis, assistive technologies, and autonomous robotics control. Education: PhD in Engineering from the University of Cambridge (Cantab.), MPhil, and professional certifications in engineering and higher education. Teaching: Courses include Microcontroller Project and Linear Systems and Control . His research innovations include the Desert Fireball Network (DFN), a continental-scale meteor tracking system, and the Fireballs in the Sky citizen science app. He has pioneered automatic crater detection algorithms for Mars surface dating and developed control systems for autonomous spacecraft and robots. Key awards include the 2021 Research Team of the Year (Binar Space Program), 2016 Eureka Prize for Innovation in Citizen Science, and multiple teaching excellence citations. His work bridges academia and industry through projects like the Binar lunar mission series and assistive technologies for disability support. Grants and collaborations: Extensive funding for space exploration and planetary science projects. His team’s work has led to meteorite recoveries (e.g., Murrili) and contributed to Mars surface age mapping. Active in STEM outreach and curriculum innovation, including transforming pedagogy in science and engineering education. Labs/Teams: Leads the Desert Fireball Network and collaborates with NASA, ESA, and industry partners on space systems and planetary research initiatives.

Hannes Herrmannمشاهده پروفایل

مدرس ارشد

• Algorithm Design
• Database Optimization
• Network Reliability
• +۳ مورد دیگر

Dr. Hannes Herrmann is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. He also holds a position in the Office of the Provost. Herrmann holds a Ph.D., M.Sc., and B.Sc. (Hons) in mathematics and theoretical computer science. His research focuses on algorithm design, database optimization, network reliability, artificial intelligence in games, and computing education. He has contributed to advancements in decision diagrams for network reliability and performability analysis, as well as database systems for vision-impaired navigation. His teaching spans mathematical logic, algorithm design, artificial intelligence, and introductory programming. He has taught at multiple Australian universities, including UWA, ECU, and Murdoch, and spent seven years at Curtin's Sarawak campus. His work includes optimizing real-time data handling and developing tools for indoor navigation systems. Recent research highlights include semantic type detection in databases and applications in medical gas load estimation. Publications reflect expertise in decision diagrams, database optimization, and sensor networks. No scientific awards are explicitly mentioned, but he is an IEEE member. He has advised students on database systems and computing education, though specific advisees are not listed. No lab affiliations or grants are detailed in the provided information.

• Neuroscience
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Hanieh Bakhshayesh is a Lecturer at Curtin University within the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. She is affiliated with the Curtin Perth campus and holds a position in the Office of the Provost. Her research focuses on advanced signal processing techniques applied to biomedical data, particularly in electroencephalography (EEG), with emphasis on artifact reduction, connectivity analysis, and neural synchronization. She also contributes to sports medicine through studies on anterior cruciate ligament (ACL) injuries and psychological rehabilitation aspects. Her work spans interdisciplinary areas including neuroscience, electrical engineering, and clinical neurophysiology. Key research interests include developing algorithms for EEG signal enhancement, evaluating muscle artifact removal methods using techniques like independent component analysis (ICA) and beamforming, and comparing functional/effective connectivity measures in brain networks. She has explored applications in migraine physiology, power systems diagnostics, and sports injury psychology. Her recent publications (2020–2023) highlight advancements in EEG artifact mitigation, ACL injury fear analysis, and composite insulator diagnostic indices. While no awards are listed, her active publication record demonstrates sustained contributions to biomedical engineering and neuroscience.

Lorenzo Ntogramatzidisمشاهده پروفایل

دانشیار

• Dynamical systems
• Control theory
• Geometric control theory
• +۵ مورد دیگر

Lorenzo Ntogramatzidis is an Associate Professor in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, where he has been a full-time staff member since 2009. His academic journey began with a Laurea degree in Computer Engineering from the University of Bologna, followed by a Ph.D. in Control and Operations Research from the same institution. He has held positions as an ARC Australian Postdoctoral Fellow and Senior Lecturer at Curtin University before becoming an Associate Professor in 2016. His educational background includes: Laurea degree in Computer Engineering, University of Bologna (2001), with honors (magna cum laude) Italian Professional Engineering Degree (2002) Ph.D. in Control and Operations Research, University of Bologna (2005) Ntogramatzidis's research focuses on dynamical systems and control theory, with particular emphasis on geometric control theory, optimal control problems with constraints, multidimensional systems, and signal processing. His work has significant applications in various engineering domains including power electronics and electric vehicle charging systems. He has developed novel approaches to controller design, disturbance decoupling, and eigenstructure assignment in linear systems. His recent publications demonstrate a strong focus on geometric control methods, disturbance decoupling techniques, and applications to power electronics. His research shows a consistent pattern of applying theoretical control concepts to practical engineering problems, particularly in the areas of electric vehicle charging and power converter control. Among his notable achievements are: Magna cum laude honors in his Laurea degree Ph.D. scholarship from the Italian Ministry for University and Scientific Research (2002-2004) Australian Post-Doctoral Fellowship (2009-2012) Curtin Research Fellowship (2012-2016) WA Young Tall Poppy Award 2011 Australian Research Council Future Fellowship (2012-2016) Ntogramatzidis has been actively involved in research supervision and teaching, with notable contributions to the field through his editorship roles for Systems & Control Letters and Multidimensional Systems and Signal Processing. His research has been supported by multiple ARC Discovery Projects and other national research grants.

Manou Rosenbergمشاهده پروفایل

پژوهشگر ارشد

• Optimization
• Energy Infrastructure
• Evolutionary Algorithms
• +۳ مورد دیگر

Dr Manou Rosenberg is a Research Fellow at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. Their work focuses on optimization and energy systems, particularly in hydrogen infrastructure networks, electricity distribution networks, and evolutionary algorithms. Rosenberg is affiliated with the Centre for Optimisation and Decision Science. Research interests include applying optimization techniques to solve complex engineering problems in energy infrastructure, rural electrification, and renewable energy systems. Their work often integrates evolutionary algorithms with geospatial analysis and machine learning methods. Publications emphasize innovative solutions for hydrogen pipeline design, rural electricity networks, and microgrid optimization. Recent work explores multi-stage approaches for spatially-aware infrastructure planning and the application of genetic algorithms to network design challenges. Rosenberg collaborates with institutions and researchers in Australia, contributing to projects that bridge theoretical optimization and practical energy system applications. They are based at the Curtin Perth campus in the New Technologies Building, Room 463.

Roba Abbasمشاهده پروفایل

پژوهشگر ارشد

• Socio-technical systems
• Digital Transformation
• Business Information Systems
• +۷ مورد دیگر

Roba Abbas is an Honorary Senior Fellow at the University of Wollongong’s Faculty of Business and Law, specializing in socio-technical systems and interdisciplinary research. She chairs IEEE’s Socio-Technical Systems Committee and previously served as Co-Editor-in-Chief of the IEEE Transactions on Technology and Society. Her work focuses on designing ethical, collaborative systems for digital transformation and innovation. Abbas has held leadership roles in academia and industry, spanning Business, Engineering, and Informatics disciplines. Her research interests include socio-technical theory, ethics in technology, digital transformation, and public interest technology. She actively engages in governance roles, including organizing high-profile events like the AAAS Annual Meeting panel on pandemic technologies and the IEEE International Symposium on Technology & Society. Abbas supervises PhD candidates exploring AI’s impact on banking and professional services marketing. She leads projects like 'Shaping Society's Experience of Cybersecurity and Artificial Intelligence,' addressing societal challenges of emerging technologies. Her contributions bridge technical innovation with societal implications, emphasizing stakeholder-driven design and ethical frameworks.

• Operations Research
• Computer Science
• Healthcare Logistics
• +۳ مورد دیگر

Mostafa Khatami is a Lecturer in Business Analytics at the University of Wollongong (UoW), School of Business within the Faculty of Business and Law. Previously, he served as a Research Fellow at Queensland University of Technology (QUT) from June 2022 to January 2024. His research focuses on Operations Research and Computer Science, addressing challenges in scheduling, facility location, and supply chain optimization, particularly in healthcare and transportation sectors. His work has been published in prestigious journals like the European Journal of Operational Research and Transportation Research Part A. He coordinates courses such as BALA302 Business Analytics Industry Project and MBAS902 Techniques and Tools for Business Analytics. His recent grants include an internal UoW project on last-mile delivery technologies and a QUT-funded project on parcel locker network design. He actively reviews for journals including the Journal of the Operational Research Society and Health Care Management Science. His publications highlight expertise in scheduling algorithms, optimization models, and multicriteria analysis, with contributions to both theoretical and applied operational research. He has developed innovative methods for coupled task scheduling and flow-shop scheduling problems, emphasizing practical applications in logistics and manufacturing.

David J Paulمشاهده پروفایل

دانشیار

• Networks and distributed systems
• Internet and Cloud computing
• Security and Privacy
• +۷ مورد دیگر

Associate Professor David J Paul is a computational scientist at the University of New England's School of Science and Technology within the Faculty of Science, Agriculture, Business and Law. With expertise spanning computer science, distributed systems, and applied technology, he has established himself as a multidisciplinary researcher bridging computer science with agriculture, sports science, and healthcare domains. His work consistently focuses on practical technology applications that address real-world challenges while maintaining data privacy and security. Dr. Paul earned his Bachelor's degrees in Mathematics and Computer Science from the University of Newcastle in 2004, followed by Honours in Computer Science in 2005, and completed his PhD titled "Deliberate Cooperation in Service-Oriented Environments: Dynamic Transactional Workflows for Web Services" in 2012. Prior to joining UNE in 2015, he worked at the Schizophrenia Research Institute from 2005-2015 and collaborated with the Health Behaviour Research Group starting in 2014. His research interests span networks and distributed systems (including Internet and Cloud computing), security and privacy, computer science education, sports science, agriculture, and e-Health. Dr. Paul has demonstrated particular strength in developing systems that integrate multiple disparate datasets while maintaining privacy, as evidenced by his work on the Australian Schizophrenia Research Bank and agricultural applications like ASKBILL and RamSelect. His recent work shows increasing focus on cybersecurity applications for SMEs, women's sports analytics, and precision agriculture technologies. Dr. Paul has secured multiple research grants including University of New England SABL Teaching & Learning Grants (2023), an Australian Council of Deans of ICT grant (2022-2023), SheepCRC projects (2015-2016), and a NeCTAR grant (2012). His extensive publication record demonstrates consistent productivity across both theoretical computer science and applied domains. School of Science and Technology Teaching Award (2017) for Computer Science curriculum redesign School of Science and Technology Development Award for COSC110 introductory programming unit With over 20 research students supervised across PhD, Master's, and Honours programs, Dr. Paul has established himself as a dedicated mentor. His current research portfolio spans cybersecurity for SMEs, precision agriculture technologies, sports analytics (particularly women's rugby league), and advanced cryptographic techniques. His work on QuON, ASKBILL, and RamSelect demonstrates his ability to create practical technological solutions that address specific industry challenges while maintaining rigorous academic standards.