جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Data Science
• Machine Learning
• +۸ مورد دیگر

Dr. Anisur Rahman is a Lecturer in Business Analytics at La Trobe Business School, La Trobe University (since July 2023). Previously, he held academic roles at Charles Sturt University, including Lecturer in Computing and Research Fellow. He holds a PhD in Computing from Charles Sturt University and a Bachelor of Computer Science and Engineering (Honours) from Rajshahi University of Engineering and Technology, Bangladesh. His research focuses on artificial intelligence, data science, machine learning, and their applications in healthcare, cybersecurity, smart cities, IoT, and agriculture. He has secured grants totaling over $22,500 for projects like 'Smart Monitoring of Rental Properties' and 'AI-Powered Clinical Decision Support System' (collaborating with St Vincent's Hospital Melbourne). He is an Associate Editor for journals including Humanities and Social Sciences Communications and Network Modeling Analysis in Health Informatics and Bioinformatics . Dr. Rahman has supervised 20 honours students and collaborates with institutions like Monash University, Swinburne University, and Wagga Wagga Base Hospital. His teaching philosophy emphasizes early student engagement, industry-relevant examples, and assessment design. He coordinates courses such as 'Artificial Intelligence and Business Automation' and 'Predictive Analytics' at La Trobe University. He has published over 50 peer-reviewed articles, with an h-index of 16 and 1,500+ citations. Key contributions include frameworks for weed species classification, lung infection detection, and cardiovascular disease prediction. He advocates for interdisciplinary research addressing healthcare, urban sustainability, and technological innovation.

• Science Education
• Language Education
• Curriculum and Pedagogy
• +۳ مورد دیگر

Associate Professor Mitchell O'Toole is an Honorary Associate Professor in the School of Education at the University of Newcastle. With over four decades of experience in science education across schools and universities in Australia, China, and other international contexts, he specializes in language across the curriculum, science education, and assessment strategies. His career spans roles as a science coordinator, language curriculum coordinator, and educator in diverse systems including Catholic and independent schools. Qualifications: PhD, Master of Education, and Bachelor of Science (Education) from the University of New South Wales. Professional Experience: Consultant for organizations such as Australian School Innovation in Science, Technology and Mathematics (ASISTM) and the National Institutes of Health (NIH). Research Interests: O'Toole’s work focuses on communication in science contexts, including language challenges in science education, the integration of English as a Medium of Instruction (EMI), and cross-cultural pedagogical strategies. He has authored numerous books and journal articles addressing scientific literacy, curriculum design, and educational technology. Publications: Over 50+ journal articles, 11 books, and 8 chapters, including influential works on EMI in Vietnam, Saudi Arabian physics education, and the role of literature in environmental values development. Grants: Secured ~$32k in internal grants for projects like developing diagnostic tools for student language difficulties and assessing EMI impact. Supervision: Mentor to 43+ PhD candidates, focusing on topics like bilingual education, teacher perceptions, and technology adoption in diverse educational contexts. Future Work: Continuing research on conflict management in education, science-religion interfaces, and global EMI trends.

• Artificial Intelligence in Medical Imaging
• Machine Learning
• Deep Learning in Image Processing
• +۵ مورد دیگر

Gobert Lee is a Lecturer in Statistical Science at the College of Science and Engineering, Flinders University, and a Full Member of the Medical Device Research Institute. His work bridges artificial intelligence with medical imaging and biomedical engineering. Primary Affiliations: Flinders University, Medical Device Research Institute Academic Role: Lecturer in Statistical Science Research Interests: Lee specializes in applying machine learning and deep learning to medical imaging challenges, particularly focusing on: Computer-aided diagnosis (CAD) for breast cancer detection Whole-body CT segmentation and computational human anatomy Construction of human voxel models for radiation dose calculation Statistical pattern recognition in radiologic studies His research aligns with UN Sustainable Development Goals in Digital Health and has produced significant work in: CT/MRI translation using generative models (CycleGAN) Superpixel-based segmentation techniques Texture analysis for tumor classification Radiation dosimetry modeling Pediatric imaging challenges Scientific Network: Collaborations span multidisciplinary areas including: Medical imaging analysis Biomedical engineering AI for healthcare applications Climate resilience projects Key trends in his publications (2018-2023) show increasing focus on: Deep learning architectures for cross-modality imaging Automated segmentation of complex anatomical structures Statistical optimization in noisy/dense imaging environments Integration of AI with radiation safety protocols

• Transport Planning
• Traffic Simulation
• Intelligent Transport Systems (ITS)
• +۳ مورد دیگر

Dr. Mark Raadsen is a Postdoctoral Research Fellow at the University of Sydney's Institute of Transport and Logistics Studies (ITLS) within the Business School. His research focuses on the supply side of transport, particularly dynamic/static traffic assignment methods, traffic flow theory, and algorithm design. He co-founded the open-source transport planning tool PLANit . Mark holds an MSc from Twente University (Netherlands) and a PhD from the University of Sydney. **Education:** MSc in Computer Science, Twente University, Netherlands PhD in Transport Planning, University of Sydney **Research Interests:** Combines academic rigor with practical applications, emphasizing aggregation/decomposition methods in multi-scale/multi-modal transport contexts. His work integrates sustainability aspects into transport models to aid policy-making. Key areas include variable speed limits, traffic simulation, and intelligent transport systems. **Teaching:** Contributes to courses such as Strategic Transport Planning, Traffic and Mobility Management, and Quantitative Methods in Transport. His teaching bridges theoretical frameworks with real-world applications. **Awards & Recognition:** While no explicit awards were listed, his work has led to commercial adoption and tangible impacts in transport systems globally. **Labs/Projects:** Co-lead of the PLANit project, an open-source platform for transport planning. His research has influenced both academic discourse and industry practices through models like the link transmission framework.

• Human Factors in Healthcare
• Medical Simulation
• Neonatal Resuscitation
• +۳ مورد دیگر

Dr. Mia McLanders serves as an Adjunct Lecturer in the School of Psychology at the University of Queensland, where she bridges psychological science with clinical healthcare improvement through human factors engineering and simulation-based methodologies. Her work directly impacts neonatal resuscitation protocols, trauma care systems, and medical device design for high-acuity environments. She completed her PhD at the University of Queensland in 2018 with the thesis "Developing the NeoReady TM : a systems approach to supporting teams during neonatal resuscitation", establishing her focus on systems-level interventions in emergency care. Dr. McLanders' research centers on human factors in healthcare , emphasizing medical simulation , neonatal resuscitation , and trauma care systems . Her methodology integrates cognitive task analysis, teamwork observation, and technology evaluation to address critical gaps in clinical workflows. Key contributions include designing cognitive aids for resuscitation teams and developing vibrotactile monitoring systems that reduce cognitive load during emergencies. Analysis of her publication trajectory reveals consistent interdisciplinary collaboration across medicine and psychology, with recent work (2024) prioritizing scalable solutions for rural healthcare barriers and standardized neonatal training. Her studies uniquely combine laboratory validation with real-world clinical implementation, particularly through the Queensland Trauma Education (QTE) program. No scientific awards or fellowships are documented in available materials. While no graduate student supervision is indicated, her collaborative network spans anesthesiology, emergency medicine, and human factors research groups. Current projects appear focused on expanding telehealth-supported trauma care and refining the NeoReady TM system for broader clinical adoption. Her research is operationally linked to the Queensland Trauma Education initiative and neonatal resuscitation improvement programs, involving multidisciplinary teams of psychologists, clinicians, and biomedical engineers working within University of Queensland-affiliated healthcare simulation frameworks.

• Megaprojects Stakeholder Management
• Big Data Analytics in Construction
• Computer-Aided Project Management
• +۴ مورد دیگر

Dr. Jin Xue is a Lecturer in the School of Project Management at the University of Sydney, part of the Faculty of Engineering. His research focuses on stakeholder management in megaprojects using data-driven methodologies like natural language processing, network analysis, and organizational simulation. He has published extensively in leading journals such as the International Journal of Project Management and has won prestigious awards including the RICS Best Research Team of the Year (2022) and the Best Paper Award at Construction Research Congress 2020. His research interests include stakeholder dynamics, big data analytics in construction, and computer-aided project management systems. He is actively involved in advising HDR students on topics like stakeholder engagement in environmental sustainability and interorganizational project governance. Current projects include Sydney-based grants exploring big data-driven stakeholder engagement and AI applications in project management. Affiliations: Sydney Environment Institute, Sydney Institute of Agriculture Teaching: Coordinator for ENGG2851 Project Analytics and ENGG1865 Project Time, Cost and Resources Key research methods include data science techniques, network analysis, and complex systems modeling. Recent work emphasizes transitioning project management into the big data era through innovative methodologies.

• Signal Processing
• Communications Engineering
• Radar Systems
• +۵ مورد دیگر

Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.

• Glaucoma
• Neuroprotection
• Ophthalmology
• +۳ مورد دیگر

Andrew White is a Clinical Associate Professor and clinician scientist ophthalmologist at the University of Sydney, affiliated with the Save Sight Institute and Westmead Institute for Medical Research. He specializes in glaucoma, holding roles as Head of the Department of Ophthalmology at Westmead Hospital and Director of the Community Eye Care Project (C-eye-C). His research focuses on neuroprotection in glaucoma, mechanisms of disease progression, and improving healthcare delivery through innovative techniques like smartphone-based diagnostics and low-cost surgeries. Education: B.Med.Sci (Hons) MBBS PhD from the University of Sydney (1995-2001), with postgraduate research at Max Planck Institute and SUNY. Clinical training included subspecialty glaucoma training at Sydney Eye Hospital, Westmead Hospital, and Addenbrooke’s Hospital (UK), where he was a Consultant Ophthalmologist and Senior Lecturer in Ophthalmology (2011). Research Interests: Neuroprotection strategies, glaucoma pathogenesis, SLT-associated corneal changes, and epidemiology of glaucoma in diverse populations. Active in clinical trials, including renin-angiotensin system modulation and genetic studies (ANZRAG). Key Awards: 2017 Western Sydney LHD Quality Award, Vision 2020 Rising Stars of Ophthalmology. Leadership roles include Co-chair of the Agency for Clinical Innovation’s Ophthalmology Governing Body, Board Member of Ophthalmic Research Institute of Australia, and advisory roles in global glaucoma organizations. Publications span neuroprotective agents, surgical innovations (e.g., Hydrus microstent), AI-driven glaucoma screening, and diabetic retinopathy screening programs. Collaborates internationally, notably with the University of Cambridge’s Centre for Brain Repair on neurodegenerative links.

• Artificial Intelligence
• Advanced Analytics
• Operations Research
• +۵ مورد دیگر

Dr. Su Nguyen is a Senior Lecturer in AI and Analytics at RMIT University's Department of Accounting, Information Systems & Supply Chain, located at the City Campus in Australia. His research focuses on integrating artificial intelligence, analytics, and operations research to address challenges in sustainability, safety, and critical domains like healthcare and logistics. Key areas include transparent AI systems, simulation models for dynamic environments, and optimization algorithms for energy and transportation. His work emphasizes making AI systems accountable to mitigate risks such as discrimination and ensures fairness in autonomous decision-making. Collaborations span Australia, New Zealand, and the Asia Pacific region, promoting AI applications in industry. Supervised projects include topics like personalized care plans, workforce rostering optimization, and AI-driven solutions for supply chains and cyber-risk evaluation. Dr. Nguyen's research bridges theoretical advancements with practical industry engagement, aiming to enhance decision-making through advanced analytics and business optimization frameworks.

• Statistical Inference
• Data Modelling (Environmental events)
• Bayesian Statistics
• +۷ مورد دیگر

Dr. Pragalathan (Prahan) Apputhurai is a Lecturer in Applied Statistics at Swinburne University of Technology's School of Health Sciences . With a PhD in Applied Statistics from Swinburne and prior degrees from the University of Peradeniya, Sri Lanka, his expertise spans Bayesian Statistics , Structural Equation Modeling , and Extreme Events Data Modelling . He teaches undergraduate and postgraduate courses in Applied Statistics and supervises PhD/Master's students in areas including Factor Analysis and Social Determinants of Health. Education: PhD in Applied Statistics, Swinburne University of Technology, Australia Bachelor of Science & Applied Statistics, University of Peradeniya, Sri Lanka Research Interests: Specializing in statistical methods for health and social sciences, Dr. Apputhurai's work addresses issues including intimate partner violence, mental health in chronic disease populations, and empathetic AI in healthcare. His recent publications focus on structural equation modeling applications, psychometric validation in gastrointestinal disorders, and conversational agent empathy assessment. Grants: Rome Foundation (2025): Dietary interventions for IBS pain management Civil Aviation Safety Authority (2022-2024): Bayesian methodology in aviation safety Department of Communities and Justice (2018-2019): Indigenous women's reintegration through empowerment pathways Professional Recognition: Vice Chancellor's Teaching Excellence Award (2016) SUPRA Scholarship Recipient (2009) Academic Excellence in B.Sc. Examinations (2003) Academic Supervision: Currently supervising research projects in inflammatory bowel disease mental health support, conversational agent development, and trauma impact on quality of life across various health conditions.

• Satellite Networks
• Vehicular Ad-Hoc Networks
• IoT Networks
• +۳ مورد دیگر

Dr. Quynh Ngo is a Postdoctoral Research Fellow in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), within the Faculty of Engineering and Information Technology. Her research focuses on satellite networks, vehicular ad-hoc networks (VANETs), IoT networks, cybersecurity, and machine learning applications in wireless communication. She holds a PhD in Computer Science from La Trobe University (2023), an M.Sc. in Telecommunications from Vietnam National University (2016), a B.Sc. in Electrical Engineering from California State University (2013), and a B.Eng. in Mechanical Engineering from Vietnam National University (2008). Her doctoral thesis was nominated for the Nancy Millis Award for exceptional research. Her work addresses critical challenges in 6G satellite integration, including intersystem interference in GEO-LEO networks, Doppler shift mitigation, and spectrum sensing. She employs machine learning and deep reinforcement learning to optimize beam design, power allocation, and resource management. Dr. Ngo has been awarded scholarships and grants from NASA, the Norwegian-Vietnamese Industrial & Infrastructure Safety Consortium, and La Trobe University. She has over five years of teaching experience in electronics, communications, and cybersecurity, and actively serves as a reviewer for journals such as IEEE Transactions on Communications and conferences like the IEEE International Symposium on Communications and Information Technologies. Education: PhD in Computer Science, La Trobe University (2023) M.Sc. in Telecommunications, Vietnam National University (2016) B.Sc. in Electrical Engineering (Magna Cum Laude), California State University (2013) B.Eng. in Mechanical Engineering, Vietnam National University (2008) Key Research Themes: Satellite-terrestrial hybrid networks Intelligent non-terrestrial networks (NTN) Cybersecurity in wireless systems Machine learning for network optimization Awards: NASA-JPL Undergraduate Scholar La Trobe University Postgraduate Research Scholarship Net Zero Scholarship Advising & Grants: Focuses on funded projects related to vehicular ad-hoc networks, IoT, and non-terrestrial networks Experience in securing research grants and industry collaborations

Pari Delir Haghighiمشاهده پروفایل

مدرس ارشد

• Ubiquitous Computing
• Context-aware Computing
• Mobile Health
• +۴ مورد دیگر

Pari Delir Haghighi is a Senior Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. She holds a PhD in Computing (2010) and a Bachelor of Computer Science (Honours) from Monash University (2004). Her research focuses on ubiquitous computing, context-aware systems, mobile health, and AI-driven decision support. She has pioneered solutions for chronic disease management, emergency response systems, and healthcare data integration. Notable projects include developing the DO4MG ontology for emergency management, AI-powered construction safety systems, and mobile interventions for eating disorders. She has led 13 research projects, including collaborations on digital health, safety engineering, and body image interventions. Her work aligns with UN Sustainable Development Goals related to health and education. Teaching contributions include awards for Honours supervision (2014) and student learning excellence (2020). She teaches courses such as Mobile and Distributed Computing Systems and Systems Analysis and Design. Pari actively organizes conferences like the International Conference on Advances in Mobile Computing and Multimedia. Her lab, the Data Visualisation and Immersive Analytics Research Lab, explores innovative visualisation techniques. Current research emphasizes culturally inclusive digital health interventions, LLM auditing for harmful content detection, and IoT middleware benchmarking. She advises on interdisciplinary projects, fostering collaboration between IT and healthcare sectors.

Alessandra Suttiمشاهده پروفایل

دانشیار

• Materials Science
• Sustainable Textiles
• Environmental Science
• +۲ مورد دیگر

Alessandra Sutti is an Associate Professor at Deakin University's Institute for Frontier Materials , focusing on polymers, textiles, and sustainable material solutions. Her work bridges industry collaboration with environmental stewardship, particularly through microplastics research and STEM education initiatives. PhD in Materials Science from Universita' degli Studi di Parma (2007) Active in Australian Research Council-funded projects and industry partnerships

Warren Smithمشاهده پروفایل

دانشیار

• Naval Architecture
• Ship Design and Safety
• Engineering Design Education
• +۵ مورد دیگر

Associate Professor Warren Smith is a faculty member in the School of Engineering and Information Technology at the University of New South Wales (UNSW) Canberra campus. He serves as the Naval Architecture Coordinator and has held various leadership positions including Head of School from 2003-2009. With a background in naval architecture and operations research, Professor Smith has established himself as a leading educator and researcher in maritime engineering and design education. Professor Smith holds a PhD in Operations Research from the University of Houston, an MS in Mechanical Engineering from the same institution, and a BE in Naval Architecture with First Class Honours from UNSW Sydney. His extensive professional experience includes 20 years as a Naval Architect with the Australian Department of Defence (1978-1998), where he held various specialist engineering, research and managerial positions. Professor Smith's primary research interests span Naval Architecture, Ship Design and Safety, Engineering Design Education, and Complex Systems. He has pioneered authentic and immersive experiential learning approaches, particularly through student design competitions. His work in systems modeling, decision-based design, and optimization methods has contributed significantly to both naval architecture and engineering education fields. Professor Smith has developed innovative frameworks for ship design optimization, particularly for high-speed planing craft, and has explored the application of evolutionary algorithms to complex engineering problems. His recent scholarly output demonstrates a continued focus on naval architecture education, maritime engineering, and interdisciplinary applications of optimization techniques. Professor Smith has expanded his research into aircraft proximity systems and air traffic management, showing the transferability of his systems engineering approach across domains. His work consistently bridges theoretical advances with practical applications in both maritime and aerospace contexts. AGM Michell Medal, Mechanical College Board of Engineers Australia for outstanding service to mechanical engineering (2018) Australian Council of Engineering Deans National Award for Engineering Education Excellence Re-Engineering Australia Foundation Founder's Award for Outstanding Contributions to the F1inSchools Program (2017, 2013) Australian Society for Operations Research Conference Best Paper Award (2016) UNSW Canberra Community Engagement Award for Services to the F1inSchools Program (2013) UNSW Canberra Rector's Commendation for Excellence in Classroom Teaching (2010) ALTC Citation for Outstanding Contributions to Student Learning (2008) AAEE Citation for Outstanding Contributions to Student Learning (2008) Ship Shape 2000, Royal Institution of Naval Architects Walter Atkinson Prize (1993) Professor Smith has been instrumental in developing and leading numerous student design competitions that provide authentic learning experiences. He has served as Faculty Advisor for the Formula SAE Student Design & Build Competition (2003-2013 at UNSW Canberra, 2013-2014 at University of Oklahoma) and as National Coordinator for the Warman Design & Build Project & Competition (2002-2021). He currently chairs the Re-Engineering Australia National Rules Committee and serves as Chair of Judges for F1inSchools and Subs in Schools competitions. His educational leadership extends to mentoring first-year engineering students and researching the development of student teamwork competencies. Professor Smith leads the UNSW Canberra Warman Design and Build Project & Competition (1998-present) and is actively involved with the Re-Engineering Australia Foundation as ACT Hub Chair (2007-present). His work connects academic research with practical engineering challenges through student competitions that engage thousands of participants annually. These initiatives form an integrated ecosystem for engineering education that spans from primary school through to university level.

Ben Rossمشاهده پروفایل

مدرس ارشد

• Medicinal Chemistry
• Computer-Aided Drug Design
• Virtual Screening
• +۱۱ مورد دیگر

Dr. Ben Ross is a Senior Lecturer at the School of Pharmacy and Pharmaceutical Sciences , Faculty of Health, Medicine and Behavioural Sciences , University of Queensland. With a background in medicinal chemistry and synthetic chemistry, his research focuses on computer-aided drug design for cancer , viral infections , and neurodegenerative diseases like Alzheimer’s. His team employs biochemical , biophysical , and cell-based assays , alongside animal models , to evaluate novel drug candidates, emphasizing ADMET properties for clinical translation. Education : BSc (First-Class Honours), University of Queensland (1999) PhD in Medicinal Chemistry, University of Queensland (2004) Research Themes include virtual screening, enzyme inhibition, ion channel modulation, and nanoparticle-based drug delivery systems . His work spans computer-aided design of acetylcholinesterase inhibitors , Orai1 calcium channel modulators , and antiviral nanoparticles . Recent projects highlight 3D-printed tablets for personalized prednisone dosing and pH-responsive nanocarriers for colon-targeted therapy. Publications demonstrate expertise in medicinal chemistry (75 total), with high-impact work in Journal of Medicinal Chemistry , ACS Applied Materials & Interfaces , and Nanoscale . Themes include virtual screening , nanoparticle drug delivery , and multi-target inhibitors for neurodegeneration and cancer. Collaborations with local and international researchers enhance translational impact. Supervision & Funding : Actively mentors PhD students in oral drug delivery , Alzheimer’s therapies , and 3D printing , with support from UQ Scholarships , NHMRC , and international programs (MOHE, Saudi Arabia, CSC). Leads the RossChemLab , emphasizing drug-likeness and collaborative discovery .