جستجوی استاد راهنمای دانشگاهی

Yiran Zhuمشاهده پروفایل

پژوهشگر ارشد

• Coal Seam Gas
• Rock Mechanics
• Mining Engineering
• +۵ مورد دیگر

Dr. Yiran Zhu is a Postdoctoral Research Fellow at the School of Mechanical and Mining Engineering, University of Queensland. He completed his PhD at the same institution in 2022, focusing on capillary trapping and gas-water flow in coal seam gas reservoirs. His research integrates mining engineering, energy fuels, and geomechanics to optimize resource extraction and subsurface processes. Research Interests: Dr. Zhu specializes in coal seam gas (CSG) recovery enhancement, rock mechanics, and mining technology. Key areas include: Capillary trapping dynamics in CSG reservoirs Rock mass damage prediction from blasting Coal fracturing using microwave/electric pulse technologies Horizontal borehole optimization for gas extraction AI applications in geoenergy systems Publication Trends: His recent work (2021-2025) emphasizes experimental and computational studies of coal permeability, fracture propagation, and reservoir modeling. Dominant themes include laboratory validation of CSG recovery techniques, blasting impact on mining infrastructure, and optimization of energy extraction processes. Supervision: Currently available for research student supervision. No specific grants or awards are documented in available sources.

Shukla Sikderمشاهده پروفایل

مدرس ارشد

• Early Childhood Science Education
• STEM/STEAM Education
• Play-Based Pedagogy
• +۵ مورد دیگر

Shukla Sikder is a Senior Lecturer in Early Childhood Education at Charles Sturt University's Faculty of Arts and Education. With nearly 14 years of multicultural teaching and research experience across Australia, Singapore, and Bangladesh, she specializes in early childhood science, technology, and play-based pedagogy. Her academic credentials include a BEd (Hons) and MEd from University of Dhaka, and a PhD in Early Childhood Science Education from Monash University. Dr. Sikder's research focuses on science learning through play and everyday practices across home and educational settings, digital technology as an innovative teaching method, children's learning and development (birth to eight years), and STEM/STEAM education. Her work employs cultural-historical theory to examine how children develop scientific concepts through family practices and play-based experiences. Current projects include the Children Draw Talking Project and research on culturally valued play-based practices for STEAM education. Analysis of her 49 research outputs (2015-2025) reveals a strong emphasis on cultural-historical perspectives in early childhood STEM education, with increasing output in recent years (17 publications in 2024 alone). Her work spans diverse formats including peer-reviewed articles, creative storybooks, conference presentations, and commissioned reports, demonstrating interdisciplinary approaches that bridge theory, practice, and children's voices. Monash Education Research Community Publication Award (A$500) Monash University Postgraduate Research Travel Grant (A$3,000) Monash University Faculty Research Fund (A$1,000) Australian Endeavour Postgraduate Award (A$234,500) Little Scientists Program Evaluation Grant (A$82,771) Dr. Sikder actively supervises research students and collaborates internationally through the Children's Voices Centre and STEM Education Research Group. Her current projects include evaluating how digital visual observations establish inclusive practices in early childhood research and developing frameworks for enhancing inclusive STEAM pedagogy. She serves as a key researcher in the Machine Vision and Digital Health (MaViDH) Research Group, focusing on innovative approaches to document children's learning processes.

• Bayesian Statistics
• Machine Learning
• Medical Imaging
• +۵ مورد دیگر

Dr. Yanan Fan is a Senior Principal Research Scientist at CSIRO's Data61 and an Adjunct Professor of Statistics at the University of New South Wales (UNSW). His research focuses on Bayesian models, computational methods for real-world problems, and interdisciplinary applications in fields like medical imaging, cosmology, and climate science. He holds a PhD in Statistics from the University of Bristol and has over 20 years of academic experience at UNSW's School of Mathematics and Statistics. Education: PhD in Statistics, University of Bristol, UK Undergraduate Degree in Mathematics, University of Melbourne Research Interests: Fan develops Bayesian semiparametric models, approximate Bayesian computation (ABC), and scalable computational methods for medical imaging (e.g., PET), cosmology, and climate modeling. He also investigates gender bias in educational evaluations and leads initiatives like the Data4Good stream of UDASH. His work emphasizes practical problem-solving through advanced statistical techniques. Leadership & Contributions: As Team Leader of Bayesian Computational Methods and Applications at Data61, he drives innovation in statistical methodologies. He has served on the Scientific Committee of MATRIX research institute and as an Associate Editor for major statistical journals. His projects include probabilistic climate projections and bias analysis in student evaluations. Labs & Groups: Active member of the StatML Group and leader of the Bayesian Computational Methods team, focusing on integrating machine learning and statistical computing.

• CGE Modelling
• Climate Change Economics
• Financial Inclusion
• +۸ مورد دیگر

Athula Naranpanawa is an Associate Professor at Griffith University's Department of Accounting, Finance and Economics (part of the Griffith Business School). He specializes in computable general equilibrium (CGE) modelling, focusing on climate change adaptation, financial inclusion, and development economics. His research addresses poverty, inequality, and economic policy in regions like Sri Lanka, Bangladesh, and Africa. Education: B.Sc. in Agricultural Science (University of Peradeniya, Sri Lanka), PhD in Economics (Griffith University). Academic roles include Associate Professor (2025–present), Senior Lecturer (2015–2024), and Lecturer (2010–2014). He is a member of the Griffith Institute for Tourism and Griffith Asia Institute. Research interests span CGE modelling applications in tourism, energy economics, and regional development. Notable projects include analyzing climate change impacts on agriculture, financial inclusion's role in economic growth, and post-disaster economic recovery (e.g., Sri Lanka's tourism during the pandemic). He has supervised over 15 PhD students, focusing on topics like climate change vulnerability, financial inclusion effects, and tourism resilience. Awards include the 2011 Group Learning and Teaching Citation. Professional roles include editorial board memberships (e.g., Forecasting ) and thesis examinations. Funded projects include FAO dairy sector analysis, Queensland fuel price policy evaluation, and economic impacts of the Commonwealth Games. His work aligns with UN Sustainable Development Goals (No Poverty, Climate Action, Sustainable Consumption).

• Macroeconomics
• Economic Growth
• International Trade
• +۳ مورد دیگر

Tarlok Singh is an Associate Professor in the Department of Accounting, Finance and Economics at Griffith Business School, Griffith University, Australia. He holds a PhD from the University of NSW and has been affiliated with the Griffith Asia Institute since 2003. His research focuses on macroeconomics, economic growth, international trade, and poverty reduction, with notable publications including the book Trade Liberalisation and Poverty: Vietnam Now and Beyond (2016). He has supervised 16 successful PhD students and actively engages in research supervision across macroeconomic history, financial markets, and development economics. Dr. Singh’s teaching interests span macroeconomic analysis and open economy macroeconomics. His recent research explores global economic uncertainty, stock market return predictability, and cross-asset momentum strategies. He has received awards for teaching and research supervision, including the 2024 Highly Commended Excellence in Research Supervision Award. His funded research includes projects on Pacific digital economies, Vietnam’s development, and international capital mobility. Key contributions include analyses of China’s outward FDI drivers, India’s economic policy impacts, and the sustainability of BRICS current accounts. He collaborates internationally and contributes to policy-oriented research through grants from institutions like the United Nations Development Program and the Australian Department of Foreign Affairs and Trade.

• 5G/6G Physical Layer signal processing algorithms
• Machine Learning techniques for Physical Layer signal processing
• Ultra-Reliable Low-Latency Communications
• +۵ مورد دیگر

Dr. Beeshanga Abewardana Jayawickrama is a Senior Lecturer and Data Science Engineering Course Director at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a BEng in Telecommunications Engineering (Hons I) and a PhD in Electronic Engineering (Wireless Communications) from Macquarie University, Sydney, Australia, completed in 2011 and 2015 respectively. As a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), he maintains active research and industry collaborations. His educational background includes: BEng in Telecommunications Engineering (Hons I), Macquarie University (2011) PhD in Electronic Engineering (Wireless Communications), Macquarie University (2015) Dr. Jayawickrama's research focuses on cutting-edge wireless communication technologies with particular emphasis on 5G/6G Physical Layer signal processing algorithms, Machine Learning techniques for Physical Layer signal processing, Ultra-Reliable Low-Latency Communications, Non-Terrestrial Networks, Compressed Sensing (Sub-Nyquist Sampling), and spectrum sharing. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and industry collaborations. He has published over 40 prestigious conference and journal papers while developing algorithms that have been incorporated into commercial 5G base stations. Analysis of his recent publications reveals a strong focus on satellite communications, particularly cognitive GEO-LEO satellite networks, where he explores spectrum sharing, beam design, and interference management. His research increasingly integrates machine learning techniques with traditional signal processing approaches, especially for spectrum sensing and channel estimation in next-generation wireless systems. The trend shows growing emphasis on practical implementation and experimental validation of theoretical concepts. His scientific recognition includes: Macquarie University Medal in Engineering Vice-Chancellor's Commendation for Academic Excellence Outstanding Teacher Award (2021) Multiple competitive scholarships from Macquarie University and CSIRO In terms of teaching and supervision, Dr. Jayawickrama has taught numerous undergraduate and postgraduate subjects including Advanced Telecommunication Engineering, 4G/5G Mobile Technologies, Communication Systems, and Engineering Research Thesis. His current research is supported by significant grants including the AI-SSPCAS project (CSIRO), Smart Flood and Storm Intelligence Sensing Initiative (NSW Department), and CogSat: Cognitive Satellite Radio (SmartSat CRC). Previously, he has secured research funding from Intel Corporation and Nokia Research Centre. Dr. Jayawickrama has held leadership roles including Course Director for Data Engineering since 2021 and UTS IEEE Student Branch Counsellor from 2017-2020. His industry experience includes research positions at Ericsson in Sweden (working on 5G New Radio receiver algorithms) and Intel Labs in the USA (working on Licensed Shared Access and Citizens Broadband Radio Service).

• Epidemiology
• Vaccination Coverage
• Chronic Disease Management
• +۲ مورد دیگر

Dr. Carla Bernardo is a Research Fellow in the Adelaide Medical School at the University of Adelaide, specializing in epidemiology and health services research. Her work utilizes large-scale primary care databases including MedicineInsight and UK Clinical Practice Research Datalink. Research focuses on: Chronic disease management in primary care settings Vaccination coverage and immunization programs Pharmacoepidemiology and prescribing patterns Trauma management in general practice Publications demonstrate expertise in analyzing electronic health records to evaluate clinical interventions. Recent work examines diabetes management, vaccination programs, and psychotropic medication prescribing trends. Active in international collaborations, she contributes to studies on cardiovascular risk prediction and global disease burden.

• 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.

• Biomedical Engineering
• 3D Printing in Healthcare
• Pediatric Medical Devices
• +۳ مورد دیگر

Dr. Tegan Cheng is an NHMRC Emerging Leadership Fellow and Adjunct Lecturer in the School of Biomedical Engineering at the University of Sydney. She leads the EPIC Lab at Kids Research, Children's Hospital at Westmead, focusing on pediatric medical devices and 3D printing applications. Her work bridges engineering and clinical needs to address musculoskeletal challenges in children. She holds a BE(Mechanical/Biomedical) and BMedSc from the University of Sydney (2011) and a PhD (2016). Research Interests: Developing implantable/wearable medical devices for children, 3D printing in healthcare, pediatric orthotic design, and commercialization pathways. Her Printhotics initiative aims to create equitable access to personalized ankle-foot orthoses (AFOs) using 3D scanning and AI. Key collaborations include clinicians, engineers, and designers to advance pediatric device solutions. Grants and Awards: 2021 Young Tall Poppy Science Award, NHMRC Investigator Grant for Printhotics (2020), and grants from the American Orthotic & Prosthetic Association and University of Sydney's Educational Innovation Fund. Active projects include smart orthotics with embedded sensors and biodegradable bone implants. Labs/Teams: Group Leader of the EPIC Lab, collaborating with Kids Research, University of Sydney, and industry partners. Focus areas include translational research, medical device innovation, and interdisciplinary education using 3D-printed anatomical models.

Guanliang Chenمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Education
• Natural Language Processing
• Learning Analytics
• +۳ مورد دیگر

Dr. Guanliang Chen is a Senior Lecturer in the Department of Human Centred Computing at Monash University, Australia. He holds a Ph.D. in Computer Science from Delft University of Technology, Netherlands. His research focuses on applying AI technologies to educational settings to create inclusive learning environments, emphasizing fairness in machine learning and automatic generation of educational materials. Education : Ph.D. in Computer Science, Delft University of Technology (2019) M.Eng. in Software Engineering, South China University of Technology (2014) Research Interests : Artificial Intelligence in Education Natural Language Processing Learning Analytics Educational Data Mining Algorithmic Fairness Key Projects : Augmenting Emergency Resuscitation Simulation with AI (2024–2027) Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems (2023–2027) Large-scale Multimodal Knowledge Management (2022–2025) Awards : Dean’s Award for Equity, Diversity and Inclusion (Research) (2021) Outstanding Paper Award (2022) He supervises multiple Ph.D. students and has authored over 90 publications. His editorial roles include serving on the boards of Computers & Education: Artificial Intelligence and Computers & Education: X Reality .

Amanda Crossمشاهده پروفایل

پژوهشگر ارشد

• Medication Safety and Effectiveness
• Quality Use of Medicines
• Dementia Prevention
• +۳ مورد دیگر

Dr. Amanda Cross is an NHMRC Emerging Leader Research Fellow at Monash University's Centre for Medicine Use and Safety. Her work focuses on medication safety and quality use in older adults, particularly those at risk of dementia or living with dementia. She holds a PhD from Monash University (2019) and is a credentialed medication management review pharmacist. Dr. Cross leads four Medical Research Future Fund (MRFF) projects, including initiatives to reduce medication-related harm in aged care through knowledge brokers and co-designed resources. She has authored over 40 peer-reviewed articles, with a focus on analgesic use, anticholinergic burden, and guideline implementation. Research Interests: Dr. Cross prioritizes optimizing medication management in residential aged care, deprescribing strategies, and reducing polypharmacy risks. Her work integrates clinical practice, policy, and education to improve outcomes for vulnerable populations. She has pioneered studies analyzing medication practices across 106 nursing homes in 12 countries and developed frameworks for pharmacist integration into aged care settings. Grants & Projects: As Principal Chief Investigator on projects funded by the Department of Health and Aged Care, she leads initiatives such as the EMBRACE trial (testing knowledge broker models) and co-designing medication management resources for dementia care. Her work contributes to UN Sustainable Development Goals related to health equity and aging. Awards: Recognized for her early career contributions, Dr. Cross has received the Pharmaceutical Society of Australia Victorian Early Career Pharmacist of the Year (2019) and was elevated to Fellow status in 2024. She is also a 2023 recipient of Monash University's Neuroscience and Mental Health TPA Publication Award. Labs/Teams: She collaborates with the Australian and New Zealand Musculoskeletal Clinical Trials Network and the Monash Aging Research Centre. Her team includes experts in implementation science, geriatric pharmacy, and dementia care.

Pouya Faridiمشاهده پروفایل

پژوهشگر ارشد

• Proteomics
• Cancer Immunotherapy
• Mass Spectrometry
• +۳ مورد دیگر

Dr. Pouya Faridi is a Senior Research Fellow at Monash University's School of Clinical Sciences and heads the Translational Antigen Discovery Laboratory. He holds a pharmacy doctorate and PhD from Shiraz University of Medical Sciences, Iran, followed by postdoctoral research at ETH Zurich and Monash University. His research focuses on developing mass-spectrometry and proteomics technologies for identifying cancer immunotherapy targets, with clinical applications in cancer vaccines. He co-directs the Monash Clinical Proteomics Facility and leads projects funded by NHMRC, Cancer Australia, and the Victorian Cancer Agency. **Education**: PharmD, Shiraz University of Medical Sciences, Iran PhD, Shiraz University of Medical Sciences, Iran **Research Interests**: Biomarker discovery via mass spectrometry Immunopeptidome analysis for precision oncology Development of novel cancer vaccines Proteomics-based theranostics **Awards & Grants**: Victorian Cancer Agency mid-career fellowship (2021) Australian Melanoma Research Foundation Early Career Award (2021) Lead investigator on NHMRC grants targeting tumor antigens Supported by Isabella & Marcus Foundation for pediatric brain tumor research **Labs & Teams**: Translational Antigen Discovery Laboratory (Monash) Co-director of Monash Clinical Proteomics Facility Collaborations with Hudson Institute of Medical Research

Cunjian Chenمشاهده پروفایل

دانشگاهی

• Computer Vision
• Deep Learning
• Medical Imaging
• +۴ مورد دیگر

Cunjian Chen is an Adjunct Lecturer at the Department of Data Science & AI, Monash University, and a Research Fellow at Monash University Suzhou. He holds a PhD in Computer Science from West Virginia University and serves as an Associate Editor for journals like Neural Processing Letters and IET Image Processing. His research focuses on computer vision, deep learning, adversarial machine learning, and cross-spectral biometric systems. Notable contributions include advancements in thermal-to-visible face recognition, medical image segmentation, and robust adversarial defense mechanisms. Dr. Chen has received the Outstanding Area Chairs award at ICME 2021. He actively contributes to academic governance roles, including Tutorial Chair for IJCB and Area Chair for ICME, ICIP, ICASSP, IJCNN, and FG. He is currently accepting PhD and research assistant students in computer vision and deep learning, emphasizing innovative applications in security and healthcare. His research collaborations span global institutions, with recent work addressing challenges in cross-spectral imaging, medical AI, and adversarial robustness. Professional activities include patent engagements with the Monash Suzhou Research Institute. For further details, visit his personal website or Google Scholar profile .

Yaser Gamilمشاهده پروفایل

مدرس

• Construction Management and Informatics
• BIM (Building Information Modeling)
• Circular Economy
• +۴ مورد دیگر

Dr. Yaser Gamil is a Lecturer and researcher at the Malaysia School of Engineering, Monash University. His work focuses on cutting-edge technologies in project management and construction informatics, emphasizing sustainable practices and digital transformation. He holds a PhD in Construction Management and Informatics (2020) from Monash, alongside a Master of Engineering (2015) and Bachelor of Civil Engineering (2013). Key research areas include BIM implementation, circular economy principles, smart infrastructure automation, and digital twins. He leads projects like the 'Leveraging Digital Twins for Sustainable WEFE Nexus Management' (2024-2025) as a Partner Investigator. His recent studies address plastic waste utilization in construction materials and AI-driven progress monitoring. Dr. Gamil actively mentors PhD students in topics such as BIM socioeconomic challenges and AI applications in construction. He has contributed 18 publications since 2023, with a focus on sustainable construction technologies and material science innovations.

Lauren Mayمشاهده پروفایل

مدرس ارشد

• Drug Discovery
• Pharmacology
• GPCR Signaling
• +۴ مورد دیگر

Lauren May is a Senior Lecturer and Group Leader in the Department of Drug Discovery Biology at the Monash Institute of Pharmaceutical Sciences, which is part of the Faculty of Pharmacy and Pharmaceutical Sciences at Monash University. Her research focuses on G protein-coupled receptors (GPCRs), with an emphasis on their roles in cardiovascular diseases, neurological disorders, and drug discovery. Key areas include adenosine receptor pharmacology, biased agonism, and the development of novel therapeutics targeting GPCRs for conditions such as heart failure and epilepsy. May has led and contributed to numerous research projects, including the development of adenosine A1 receptor modulators for epilepsy treatment and formyl peptide receptor agonists for myocardial infarction. She is also actively involved in advancing drug discovery methodologies, such as AI-driven approaches for molecular property prediction and drug-target interaction modeling. Her work contributes to UN Sustainable Development Goals related to good health and well-being (SDG 3), particularly through innovative therapeutic strategies. In addition to her research, May holds editorial roles in journals like British Journal of Pharmacology and Purinergic Signalling , demonstrating her leadership in the field. Her projects often involve interdisciplinary collaborations, bridging basic science with translational medicine to address unmet clinical needs.