جستجوی استاد راهنمای دانشگاهی

Dr. Nikolay Shirokikh is a Research Fellow at the Australian National University's John Curtin School of Medical Research, where he leads the Shirokikh Group focusing on Protein Biosynthesis and Homeostatic Control. His research examines rapid cellular responses through gene-specific translation analysis using high-throughput RNA/protein methods and computational biology. Research interests include: RNA biology and translational control mechanisms Stress response pathways in cancer and neurological disorders Computational modeling of protein biosynthesis Recent publications (2022-2024) demonstrate a focus on RNA modifications, nanopore sequencing, and machine learning applications in transcriptome analysis. Major themes include RNA modification mapping, translational dynamics under stress, and evolutionary conservation of RNA machinery. Awards: The Gordon Ada Early Career Researcher Award (2016) Supervises PhD students including Shafi Mahmud, Mohammed Muntasir, Agin Ravindran, and Katrina Woodward. Collaborates with the Hannan Group on cancer therapeutics and contributes to the Shine-Dalgarno Centre for RNA Innovation.

• RNA Biology
• Translational Control
• Protein Biosynthesis
• +۲ مورد دیگر

Dr. Maryam Khanian Najafabadi is a Lecturer in the School of Computer Science at The University of Sydney. Her expertise spans Computational Intelligence, Artificial Intelligence, and Natural Language Processing, with a focus on applying machine learning and data mining techniques to solve real-world challenges in industry and academia. She holds a strong track record of research in recommendation systems, sentiment analysis, and biometric systems, and has led projects integrating AI methodologies across diverse sectors. Her research interests include Machine Learning, Data Mining, Recommendation Systems, and Natural Language Processing, with current projects emphasizing intelligent techniques for user-item interaction analysis and sentiment/emotion detection in text. She has published extensively in Tier 1 journals and conferences, with a focus on graph neural networks, hybrid recommendation models, and sarcasm detection frameworks. Dr. Najafabadi is committed to education, teaching courses in Machine Learning, Data Mining, Programming Languages, and Computer Science fundamentals. She emphasizes collaborative learning and practical skills development in her teaching. While no specific grants are detailed, her work demonstrates active engagement in both academic and applied research. Her professional activities include supervising undergraduate/postgraduate projects and leading industry-linked research initiatives. Her work has been recognized through awards and credentials (specific details unlisted here), reflecting her contributions to computational intelligence and interdisciplinary applications.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Dongang Wang is a Research Fellow at the Brain and Mind Centre, University of Sydney since 2019, holding a PhD in Medicine and Health (2024) specializing in Neuroimaging Analysis using Artificial Intelligence. He earned a Master of Science in Electrical Engineering from Columbia University (2015) and a BEng. His work focuses on integrating AI into clinical neuroimaging workflows, particularly addressing challenges like limited annotations, data heterogeneity, and federated learning in multi-center studies. He contributes to FDA/TGA-approved medical devices through software like VeriScout and iQ-solutions, collaborating with academic and industrial partners. Research interests include AI-driven clinical validation of MRI/CT tools, lesion segmentation in multiple sclerosis, and improving algorithmic explainability. He has conducted projects under CRC-P and MRFF grants, emphasizing translational research and real-world clinical applicability. He is affiliated with the Sydney Neuroimaging Analysis Centre and maintains an active Google Scholar profile. His publications span 2018–2025, focusing on federated learning frameworks, deep learning applications in neuroimaging, and clinical validation of AI tools. No awards are explicitly listed, though his work reflects significant contributions to medical AI adoption.

• Artificial Intelligence in Medical Imaging
• Neuroimaging Analysis
• Deep Learning Applications in Healthcare
• +۳ مورد دیگر

John Evans is a Professor at the ANU College of Science, affiliated with the Institute for Climate, Energy & Disaster Solutions. His research focuses on plant physiology, particularly linking biochemical and anatomical properties to leaf and plant performance. Central to his work is photosynthesis, with emphasis on nitrogen utilization, CO₂ diffusion within leaves, and light acclimation mechanisms. His studies address how rising CO₂ levels interact with nitrogen cycling in symbiotic systems. Evans has contributed to over 87 peer-reviewed publications, including recent work on temperature effects on tropical photosynthesis, mesophyll conductance dynamics, and crop yield enhancement through photosynthetic efficiency improvements. He collaborates on projects like the Sustainable Farms Initiative and the Wog Wog Habitat Fragmentation Experiment. His research underscores the application of advanced techniques like hyperspectral imaging and genetic profiling to solve agricultural and ecological challenges.

• Plant Physiology
• Photosynthesis
• Nitrogen Cycling
• +۳ مورد دیگر