جست‌وجوی استاد و پژوهشگر

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.

• 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.

Rabin Basnetمشاهده پروفایل

پژوهشگر ارشد

• Silicon solar cells
• defect characterisation
• renewable energy policies
• +۳ مورد دیگر

Rabin Basnet is a Research Fellow in the College of Engineering & Computer Science at The Australian National University (ANU). He holds a PhD from ANU (2020), a Master of Science in Renewable Energy Management from the University of Freiburg, and a Bachelor of Engineering from the Institute of Engineering, Pulchowk Campus, Nepal. His research focuses on silicon solar cell fabrication, defect characterization, and renewable energy policies. He has worked on developing low-cost silicon wafers with passivating-contact technology and mitigation strategies for bulk defects in Cz-Si wafers. Dr. Basnet’s research interests span advanced solar cell technologies, including photovoltaic materials characterization and energy storage solutions. His work combines experimental methods like time-resolved photoluminescence with materials science to enhance solar cell efficiency and stability. He has collaborated internationally, including a research stint at the Fraunhofer Institute for Solar Energy Systems ISE in Germany (2013–2016). His publications highlight innovations in polysilicon passivation, hydrogen activation, and defect mitigation in silicon wafers, with contributions to tandem solar cell designs and machine learning applications in materials research. While no specific awards are listed, his work has been published in high-impact journals and presented at international conferences. He is affiliated with ANU’s Energy cluster and actively contributes to interdisciplinary research in sustainable energy systems.

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.

• 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.

• Energy Trading
• Smart Grids
• Renewable Energy
• +۲ مورد دیگر

Uzma Amin is a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University. Her research focuses on peer-to-peer energy trading, smart grid technologies, and renewable energy integration. She investigates blockchain applications for decentralized energy markets and optimization methods for demand response systems. Current research areas include multi-energy trading frameworks, electric vehicle integration in energy markets, and price-based control strategies for building energy management. Her work bridges power systems engineering with computational optimization techniques for sustainable energy solutions. Analysis of publications reveals consistent themes in decentralized energy systems, blockchain applications for P2P trading, and optimization algorithms for smart grids. Recent work explores advanced market mechanisms and diagnostic methods for energy infrastructure.

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.

• Numerical Analysis
• Computational Finance
• Optimal Control and Optimization
• +۳ مورد دیگر

Professor Song Wang is a distinguished academic at Curtin University, holding the position of Professor in the School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS) and Department of Mathematics and Statistics. He previously served as Head of the Department of Mathematics and Statistics at Curtin (2014–2019). His career spans academia and industry, including roles as a Senior Software Engineer and Technical Director in Ireland, and faculty positions at the University of New South Wales, University of Western Australia (UWA), and others. Education: Dr. Wang earned a 4-year BSc in Applied Mathematics from Wuhan University and a PhD in Numerical Analysis from Trinity College, University of Dublin. His research focuses on computational and applied mathematics, particularly numerical solutions for optimal control, PDEs, and financial engineering. He has pioneered methods like the power penalty approach for option pricing and finite volume techniques for singularly perturbed equations. Research interests include numerical methods for optimal control, computational finance (e.g., Black-Scholes equations), and scientific computation. His work has been published in journals like Applied Mathematics and Computation and Journal of Computational Physics . He has supervised numerous PhD candidates and serves on editorial boards for journals such as Journal of Inequalities and Applications and Advances in Difference Equations . Publications (2025–2015) highlight advancements in fractional optimal control, option pricing models, and robust portfolio optimization. His contributions address real-world applications in finance, engineering, and traffic systems. Collaborations span institutions globally, including Germany, China, and Taiwan.

Cathryn Trottمشاهده پروفایل

استاد

• Radio Astronomy
• Signal Processing
• Interferometry
• +۳ مورد دیگر

Professor Cathryn Trott is a leading academic in radio astronomy at Curtin University, holding roles in the Curtin Research Institute and Curtin Institute of Radio Astronomy (CIRA). She serves as the Deputy Director and Chief Investigator (Curtin Node Leader) for ARC CoE All-Sky Astrophysics in 3D (ASTRO 3D), and has a part-time secondment as ATNF Chief Scientist at CSIRO. Her education includes a PhD from the University of Melbourne (2005) and a BSc (Honours H1) from the same university (2001). Professor Trott has held significant leadership roles, including President of the Astronomical Society of Australia (2019–2021) and Board Member of the Murchison Widefield Array (MWA). She is actively involved in the design and data analysis of the Square Kilometre Array (SKA) and its precursors, focusing on Epoch of Reionization (EoR) and Cosmic Dawn experiments. Her research emphasizes signal processing, calibration of radio interferometers, and mitigating systematics in cosmological observations. She has secured substantial grants, including ARC DECRA ($325k) and ARC Future Fellowships ($855k). Professor Trott collaborates globally, contributing to the SKA EoR/CD Science Working Group and IEEE. She also teaches advanced astronomy modules and has affiliations across Curtin University's global campuses. Research interests include signal estimation, radio source modeling, and interferometry. Key projects involve leading the ICRAR EoR initiative, optimizing the MWA, and preparing for the SKA. She has pioneered calibration methods and foreground subtraction techniques critical for EoR studies. Awards include Fellowships from the Australian Institute of Physics (FAIP) and Astronomical Society of Australia (FASA), along with executive training from the Australian Institute of Company Directors (GAICD).

Arun Vuppaladadiyamمشاهده پروفایل

مدرس

• Environmental Engineering
• Waste-to-Energy Processes
• Biochar Synthesis
• +۶ مورد دیگر

Dr. Arun Vuppaladadiyam is a Lecturer at the School of Civil and Mechanical Engineering, Curtin University, Australia. His academic journey includes postdoctoral fellowships at top institutions such as The Hong Kong Polytechnic University and RMIT University, alongside professional roles in India and international projects with the United Nations Development Program. He holds a PhD in Environmental Science and Engineering from Tsinghua University, China, with earlier degrees from VIT University and SV University, India. Education: PhD in Environmental Science and Engineering, Tsinghua University (China) MSc in Energy & Environmental Engineering, VIT University (India) BSc in Industrial & Production Engineering, SV University (India) Dr. Vuppaladadiyam’s research focuses on biomass conversion , waste-to-energy processes , biochar applications , and mine site rehabilitation . He has pioneered studies on thermochemical conversion technologies, including pyrolysis and gasification, to address global waste management challenges. His work emphasizes sustainability, with contributions to biofuel development, carbon capture, and e-waste recycling. His publications (over 50 articles) span journals like Chemical Engineering Journal and Science of the Total Environment , focusing on topics such as biochar synthesis, catalytic pyrolysis, and waste plastic valorization. He has received notable awards, including the Hong Kong Polytechnic University’s Distinguished Postdoctoral Fellowship (2021) and the Young Researcher Award (2020). Awards: Research Grant Council Award (Hong Kong, 2022) Outstanding PhD Graduate Award (Tsinghua University, 2019) Outstanding Dissertation Award (Tsinghua University, 2019) Dr. Vuppaladadiyam’s current projects include the ARC Training Centre for Australian Biosolids Transformation and collaborations on plastic waste management. His work bridges academia and industry, with a focus on scalable, eco-friendly solutions for global environmental challenges.

• MEMS Technology
• Vibration Analysis
• Mechanical Engineering
• +۴ مورد دیگر

Dr. Ilyas Mazhar is a Lecturer at Curtin University's School of Civil and Mechanical Engineering, Faculty of Science and Engineering. His research focuses on MEMS technology, vibration analysis, and sustainability in engineering systems. He contributes to the Office of the Provost, emphasizing institutional academic governance. His work spans MEMS gyroscope design for harsh environments, lifecycle assessments for sustainable transport fuels, and condition-based maintenance strategies. He has authored over 30 peer-reviewed publications since 2004, with recent emphasis on MEMS vibratory ring gyroscopes and environmental sustainability frameworks in Western Australia's transport sector. Research interests include microelectromechanical systems (MEMS), vibration dynamics, harsh environment reliability, and sustainable energy solutions. Key contributions include optimizing gyroscope designs for space applications and evaluating alternative fuels' environmental impacts. His methodologies integrate advanced simulation tools and life cycle analysis to advance engineering systems' durability and sustainability. His publications from 2024 highlight advancements in MEMS gyroscope design and dynamic behavior analysis, while 2023 work compares internal/external frame structures for enhanced reliability. Earlier studies (2015–2020) address cavitation sensitivity in pumps and lifecycle sustainability of renewable energy sources. He collaborates widely, contributing to global conferences and journals in mechanical, environmental, and materials engineering. Teaching spans multiple disciplines including engineering, sustainability, and condition-based maintenance. No grants or awards explicitly listed, but his research demonstrates consistent academic impact in interdisciplinary engineering fields.

• 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.

• Mechanical Engineering Asset Management
• System Reliability Engineering
• Condition-Based Maintenance
• +۸ مورد دیگر

Tieling Zhang is an Associate Professor at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering. He holds a PhD from Tokyo University of Marine Science and Technology. His research focuses on system reliability engineering, machine learning applications, energy storage systems, and pipeline integrity management. He has published over 100 peer-reviewed articles and secured over AUD 7 million in research funding. Research Interests: Statistical Data Modelling, Big Data Analytics, Bayesian Inference, System Reliability Modelling, Degradation Modelling, Wind Turbine Maintenance, Battery Management, Smart Grids. Awards: Recipient of three Best Paper Awards from international conferences. He leads the Engineering Asset Management and Systems Engineering Research Group and serves on editorial boards of journals like Information and Machines . Teaching: Contributes to Master's programs in Engineering Asset Management and Engineering Management. Supervises PhD/Master’s students on topics like battery diagnostics, UAV wildfire management, and human-robot collaboration safety. Funding Highlights: Includes grants for battery health estimation, pipeline integrity, and railway asset management. Collaborates with industry partners like the Australasian Centre for Rail Innovation and Energy Pipeline Cooperative Research Centre.

Deirdre McGheeمشاهده پروفایل

دانشیار

• Sports Medicine
• Women's Health
• Breast Biomechanics
• +۳ مورد دیگر

Deirdre McGhee is an Associate Professor at the University of Wollongong's School of Medical, Indigenous and Health Sciences. She has been with the university since 1998 and is Co-Director of Breast Research Australia (BRA), an interdisciplinary center focused on breast-related research to enhance physical activity and athletic performance in women. Her work bridges clinical practice (sports physiotherapy background) with research, addressing breast injuries, sports bra design, and breast-related barriers in sports and health contexts. Research Interests include: breast injuries in contact/combat sports, sports bra design/fit for athletes, and breast-related issues in pregnant/postpartum women and those with breast cancer. She collaborates with global organizations like World Rugby, International Olympic Committee, and the Australian Physiotherapy Association. Deirdre holds a Fellowship with Sports Medicine Australia and is an ambassador for The Sports Bra Project, advocating for equitable access to sports for women. She supervises PhD/MPhil students focusing on breast-related health and performance. Her grants include funding from World Rugby and internal university initiatives to study breast injury prevention and biomechanics. Teaching roles include clinical musculoskeletal anatomy for medical students and functional rehabilitation for exercise science students. She chairs the UOW Anatomy Committee and participates in national education committees for sports medicine.