جست‌وجوی استاد و پژوهشگر

Mitchell Welchمشاهده پروفایل

دانشیار

• Agent-Based Modelling
• Machine Learning
• Precision Agriculture
• +۴ مورد دیگر

Associate Professor Mitchell Welch is an academic in Computational Science at the University of New England within the School of Science and Technology . Specializing in Agent-Based Modelling , he leads the Precision Agriculture Research Group (PARG) . His work bridges machine learning , high-performance computing , and GIS integration , focusing on agricultural systems , livestock monitoring , and sports collective behavior analysis . Education: Bachelor of Computer Science (Honours), University of New England PhD, University of New England Research Interests: Agent-Based Modelling in Ecology & Agriculture Machine Learning for Activity Classification (e.g., livestock behavior, sports performance) Computer Vision & Object Tracking Collective Behavior Analysis in Sports & Animal Groups Teaching: Courses in Databases , Computer Networks , and Systems Analysis . As Postgraduate Coordinator , he redesigned curricula for Master of Data Science and related programs. Advising & Grants: Supervised multiple HDR students. Active in securing grants for interdisciplinary projects combining HPC, sensor technologies, and agricultural/sports applications. Labs/Teams: Leads the Precision Agriculture Research Group , collaborating with industry on virtual herding , RFID tracking , and sports analytics initiatives.

Tian Gohمشاهده پروفایل

مدرس ارشد

• Health Informatics
• Digital Health
• Chronic Pain Management
• +۳ مورد دیگر

Tian Goh is a Senior Teaching Fellow in the Department of Electrical and Computer Systems Engineering at Monash University’s Faculty of Engineering in Melbourne, Australia. He focuses on first-year engineering education and health informatics, particularly digital health solutions and chronic pain management. He actively participates in interdisciplinary research, combining data science, clinical expertise, and patient-reported outcomes. His notable work includes developing a clinical decision support system for rural healthcare workers to improve non-communicable disease detection, and a high-frequency contextual data collection model for low back pain research. He collaborates with clinicians, industry partners, and organizations like The Alfred Hospital to bridge gaps in healthcare access and technology usability. Tian leads the Catch me before I fail project (2022–2024), an early intervention framework to enhance student academic performance and retention at Monash University. He also supervises PhD students in first-year education and health informatics as an associate supervisor. His research contributes to UN Sustainable Development Goals, emphasizing quality education and good health. His technical background spans systems analysis, Windows/Unix systems administration, and corporate management, underscoring his practical industry experience.

Minh Ngoc Dinhمشاهده پروفایل

دانشیار

• High-Performance Computing
• Artificial Intelligence
• Computational Science
• +۳ مورد دیگر

Dr. Minh Ngoc Dinh is an Associate Professor and Deputy Dean for Research & Innovation at the School of Science, Engineering & Technology, RMIT University, Vietnam. He holds a Ph.D. in Computer Science from Monash University, Australia. His expertise spans High-Performance Computing (HPC), Artificial Intelligence (AI), and Computational Science. He has held academic roles at RMIT, The University of Queensland, and Monash University, and previously worked as a Research Fellow and e-Research Analyst. His research focuses on OCR technologies for Vietnamese medical manuscripts, customer behavior analytics, and scalable machine learning systems. Dr. Dinh collaborates with institutions like FISU (Vietnam ICT platform), Oxford University Clinical Research Unit (OUCRU), and the Hospital for Tropical Diseases (HTD). He is actively involved in academic coordination, project management, and industry partnerships. He is open to supervising Masters/PhD students and collaborating on research projects. His work aligns with UN Sustainable Development Goals, including Quality Education, Good Health, and Climate Action. He has contributed to both academic and non-academic roles, including a prior career as a Software Engineer at Redflex Traffic Systems Inc.

Leigh Tyersمشاهده پروفایل

پژوهشگر

• High-Performance Computing (HPC)
• Computational Physics
• Mathematical Inversion Techniques
• +۵ مورد دیگر

Leigh Tyers is a High Performance Computational Specialist at the Curtin Institute for Data Science , Curtin University, Australia. With a Master’s degree in Computational Physics and an undergraduate background in Physics and Mathematics, his expertise spans HPC, algorithm optimization, and mathematical modeling. Educated in Computational Physics and Mathematics Specializes in NISQ and quantum-inspired algorithms Applied HPC to geophysical data inversion at ExploreGeo His research interests bridge machine learning , climate science , health , and remote sensing , with a focus on computationally intensive simulations and inversion techniques using platforms like the Pawsey supercomputer. Leigh joined Curtin Institute for Data Science in March 2021, contributing to remote sensing projects while maintaining his competencies in distributed computing and statistical modeling.

• High Performance Computing
• Computer Architecture
• Hardware-Software Co-design
• +۳ مورد دیگر

Shuaiwen Song is a SOAR Associate Professor (tenured) at the School of Computer Science , University of Sydney, and directs the Future System Architecture (FSA) Lab . He holds affiliated professor positions at the University of Washington's Electrical Engineering department and serves as a Visiting Professor at Microsoft. Key research areas: High Performance Computing (HPC), Hardware-Software Co-design, Emerging Architectures (heterogeneous, quantum), and System ML Current projects: Large-Scale Sparse Model Design (Google), Tiered Memory Systems (Google), Compiler Optimizations for Heterogeneous Computing (Microsoft/Alibaba), Planet-Scale XR Systems (Meta), Quantum System Architecture (Australian Research Council) His work bridges system software and hardware, focusing on holistic design for complex many-accelerator systems and futuristic architectures like VR/AR and quantum accelerators. Recent publications highlight advancements in temporal graph processing, VR rendering, and ReRAM-based CNN training. He has received prestigious awards including IEEE Mid-Career Award for Scalable Computing , Alibaba AIR Faculty Award , and Australia's Most Innovative Engineers recognition.