Find Academic Supervisors

• Computer Vision
• Machine Learning
• Human Attention Modeling
• +2 more

Minh Hoai Nguyen is a Professor at the School of Computer and Mathematical Sciences and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Previously, he was a tenured Associate Professor at Stony Brook University (2014-2024) and worked at VinAI Research in Vietnam. He holds a Bachelor of Software Engineering from the University of New South Wales (2006) and a PhD in Robotics from Carnegie Mellon University (2012). His research focuses on computer vision and machine learning, with specialization in human attention modeling, gaze prediction, action recognition, and object counting. Recent work explores applications in educational technology, driver monitoring, and multimodal interaction systems using advanced deep learning approaches. Publication analysis reveals strong emphasis on attention mechanisms across domains, with recent works exploring: (1) Gaze and scanpath prediction using transformer architectures, (2) Few-shot learning for action counting and personalized modeling, (3) Multimodal analysis of cognitive states, and (4) Efficient scene-adaptive vision systems. His research consistently bridges theoretical machine learning with practical applications in human behavior analysis. Scientific Awards: Best Student Paper Award at IEEE CVPR (2012)

• Brain-Computer Interface
• Stroke Rehabilitation
• Robotic Engineering
• +3 more

Dr. Khairul Azlan A Rahman serves as Executive – Engineering at University of Wollongong Malaysia while maintaining active research roles as a part-time project researcher at GIRA and MENTARI research departments. His career bridges academic research and practical engineering applications in biomedical technology. His educational foundation includes a PhD in Electrical & Electronic Engineering from Universiti Tun Hussein Onn Malaysia (2020), Master in Engineering (Robotic) from UTHM (2011), Bachelor in Engineering (Power) from Universiti Teknologi Malaysia (2008), and Diploma in Electrical Engineering (Mechatronic) from UTM (2005). Dr. Rahman's research centers on Brain-Computer Interface (BCI) and Functional Electrical Stimulation (FES) systems for stroke and paraplegic rehabilitation. His work develops innovative control mechanisms that translate brain signals into physical movement assistance, creating pathways for patients to regain mobility through neurotechnology. This research sits at the critical intersection of biomedical engineering, robotics, and clinical rehabilitation, with strong emphasis on practical implementation of assistive devices. His scientific contributions have been recognized through multiple international awards: Special Award and Silver Medal from Saudi Arabia at IPITEx 2020 Silver Medal at Bangkok International Intellectual Property Exposition (IPITEx 2020) Gold Medals at NIICe2019 and iMIT 2019 Gold Medal at International Research and Innovation Symposium (RiSE 2018) Dr. Rahman actively contributes to academic development through postgraduate supervision, having served as Co-Supervisor for Medina exchange students at UTHM. His consultancy projects, including the Mechanical Robot Development for Ducting Cleaning initiative, demonstrate his ability to translate research into industrial applications. Current research activities continue through his part-time roles at GIRA and MENTARI where he explores next-generation rehabilitation technologies while maintaining freelance work in robotics and programming.

Jenny Liew Ngi SanView profile

Lecturer

• Mathematics in Computing
• Multimedia
• Web Design
• +2 more

Jenny Liew Ngi San serves as a Lecturer at Swinburne University of Technology Sarawak Campus within the School of Foundation Studies, where she has contributed since 16th July 2008. Her role focuses on delivering foundational academic preparation for undergraduate studies. Her educational background includes a Master of Multimedia and Bachelor in Mechatronics Engineering, both earned at Swinburne University of Technology Sarawak Campus. Prior to her current position, she gained industry-academic hybrid experience as a Part-time Graphic Designer and Part-time Lecturer at SUTS and Inti College. Dr. Liew's expertise spans Mathematics in Computing, Multimedia, Web Design and Development, and Digital Technology. She integrates practical industry insights into her teaching methodology, emphasizing real-world application of theoretical concepts for foundation-year students. Her institutional affiliations include: Current: Lecturer, School of Foundation Studies, Swinburne University of Technology Sarawak Campus (2008–present) Previous: Part-time Lecturer at Swinburne University of Technology Sarawak Previous: Part-time Lecturer at Inti College Based in Room G204 with contact +60 82 260 698, Dr. Liew maintains active engagement in curriculum development for foundational technical education while leveraging her dual engineering-digital background to enhance student preparedness for undergraduate programs.

• Animal Behavior
• Ecology
• Evolutionary Biology
• +3 more

Dr. Xue Bian serves as an Adjunct Research Officer in the Ecological Plant and Animal Sciences department at La Trobe University, Melbourne. Her research program bridges animal behavior, ecology, and evolutionary biology through interdisciplinary methodologies including field experiments, computational modeling, and proteomic analysis. Primary research interests focus on animal communication systems and physiological adaptations , particularly examining how ecological context mediates signal effectiveness in lizards and motion camouflage strategies in insects. Key investigations explore: Environmental constraints on movement-based signaling High-altitude physiological adaptations in reptiles Evolutionary mechanisms of anti-predator behaviors Analysis of recent publications reveals a cohesive trajectory in understanding signal efficacy across taxa, demonstrating how display structure interacts with habitat characteristics to determine communication success. Proteomic studies further elucidate molecular adaptations to extreme environments, highlighting conserved physiological strategies in energy-restricted systems. Collaborative work with researchers across Australia and China underscores engagement with international scientific communities, though specific grant details or advising roles remain undocumented in available sources.