جست‌وجوی استاد و پژوهشگر

• Plant Phenotyping
• Plant Genetics
• Cereal Crop Development
• +۳ مورد دیگر

Dr. Haoyu Lou is a Grant-Funded Researcher (A) at the University of Adelaide, affiliated with the School of Agriculture, Food and Wine within the Faculty of Sciences, Engineering and Technology. He is based at The Plant Accelerator facility in Waite. His research focuses on plant phenotyping and genetics, leveraging advanced imaging technologies like X-ray CT to study cereal crops. Education: BSc in Biotechnology from the University of Newcastle (2013), MSc in Plant Biotechnology from the University of Adelaide (2015), and a PhD from the University of Adelaide and University of Nottingham (2020). Research interests include root architecture analysis, cereal spike phenotyping, and cell wall biology. He collaborates with academic and industry partners on projects involving wheat, barley, and other crops. His work emphasizes non-destructive 3D imaging techniques to accelerate plant breeding programs. Advising: Eligible to supervise Masters and PhD students. Current projects involve developing high-throughput phenotyping methods for cereal grains and exploring genetic mechanisms controlling root and spike development. Labs/Teams: Active member of The Plant Accelerator team, leading innovations in plant phenomics and agricultural technology.

• Computer Vision
• Machine Learning
• 3D Shape Estimation
• +۵ مورد دیگر

Dr. Anthony Dick is an Associate Professor in the School of Computer and Mathematical Sciences at the University of Adelaide. He is affiliated with the Australian Institute for Machine Learning and the Australian Centre for Visual Technologies. His research focuses on computer vision, particularly visual tracking and 3D shape estimation. He explores applications in sports analytics (e.g., AFL player tracking), medical imaging, and visual question answering leveraging external knowledge sources. He is eligible to supervise PhD and Masters students in these areas. Research interests include: 3D shape analysis, visual tracking algorithms, machine learning integration for imagery, and multimodal reasoning (combining vision and text). His work often addresses challenges in large-scale surveillance networks and automated image interpretation. Publications span topics like neural network-based tracking, deep learning for set prediction, and benchmarking generative models. He has contributed to datasets such as Tenniset for event recognition in sports videos. Affiliated with interdisciplinary teams like the Australian Centre for Visual Technologies, his research bridges academic and applied domains, with potential industrial applications in automated video analysis and medical diagnostics.

Maitreyee Royمشاهده پروفایل

دانشیار

• Optical Physics
• Quantum Dots
• Contact Lens
• +۶ مورد دیگر

Associate Professor Maitreyee Roy is a researcher at the School of Optometry and Vision Science, University of New South Wales (UNSW Sydney). She specializes in Optical Physics, Quantum Dots, 3D Optical Imaging, and Artificial Neural Networks with applications in biomedical instrumentation, nanophotonics, and optometry/ophthalmology. Her research includes: Developing novel imaging technologies like Full-Field Optical Coherence Microscopy Investigating blue-blocking lens effects on visual/non-visual systems Creating AI-driven ocular disease detection systems Visualizing tear film dynamics using non-toxic quantum dots 3D reconstruction of OCT images for glaucoma diagnosis Recent publications focus on machine learning applications for glaucoma staging, quantum dot tear film imaging, and 3D medical visualization techniques. She collaborates with international labs at UC Berkeley, Tokyo Tech, and Mexico's INAOE. Awards: NMI World Metrology Day Outstanding Achievement (2013, 2011) ProSciTech Trans-Tasman Award (2006) Fellow of Optical Society of America JSPS Invitation Fellowship (2004) She supervises postgraduate and undergraduate students in projects related to optical coherence tomography, artificial intelligence applications, and quantum dot bioimaging. Professional memberships include Optical Society of America, SPIE, and Australian Standards Committee for eye protection.

• Internet of Things
• Wireless Networks
• Cloud Computing
• +۶ مورد دیگر

David Murray is a Senior Lecturer in the School of Information Technology at Murdoch University's College of Science, Technology, Engineering and Mathematics. He teaches courses on wireless networks, cloud computing, Internet of Things (IoT), and Internet servers, with over 50 published papers focusing on applied experimental research. As a Cisco Certified Networking Instructor, he brings industry expertise to his academic work. His primary research explores IoT systems and wireless networks, with specialized interests in: LP-WAN technologies (LoRaWAN) WiFi performance optimization Jumboframe implementations Network proxies for performance enhancement Agricultural IoT applications Blockchain-based security frameworks Recent publications (2021-2025) demonstrate strong interdisciplinary trends integrating machine learning with wireless systems, IoT security solutions using blockchain, and practical agricultural technology innovations. His work consistently bridges theoretical networking concepts with real-world implementations.

• Machine Vision
• Artificial Intelligence
• Medical Imaging
• +۵ مورد دیگر

Assoc. Prof. Andrew Busch is the Head of the School of Engineering and Built Environment at Griffith University since 2024. With over two decades of academic experience, he specializes in machine vision for agricultural applications , medical imaging , human movement analysis , and marine science engineering . His research has secured over $14M in funding (including $6M from ARC and $7M from industry partners) and spans collaborations across disciplines. Education: PhD, Queensland University of Technology (2004) BEng (Electrical and Electronic), Queensland University of Technology (1998) Bachelor of Information Technology, Queensland University of Technology (1998) Andrew's research bridges computer vision and artificial intelligence with applications in smart farming , medical device development , and marine ecosystem monitoring . Recent works focus on sugarcane quality automation, retinal vessel delineation, and AI-driven energy systems for buildings. His 15 most recent publications (2025-2002) highlight trends in: Agricultural engineering (sugarcane billet analysis, strawberry grading) Medical imaging (retinal vasculature, speech enhancement) Energy systems (smart buildings, digital twins) Education innovation (industry placements, curriculum design) Scientific Awards: 2021: Excellence in Teaching - Group Educational Leadership Award (Highly Commended) Andrew has supervised 13 doctoral students across projects in aquaculture automation, sugarcane AI systems, and medical diagnostics. He chairs conferences like AAEE 2023 and leads programs such as the Bachelor of Advanced Engineering (Honours) . Labs & Teams: He collaborates with the Institute for Integrated and Intelligent Systems (2018-2024) and directs projects funded by Sugar Research Australia , ARC , and DFAT .

Mark Williamsمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroimaging
• Visual Perception
• +۳ مورد دیگر

Mark Williams is an Honorary Professor at the School of Psychological Sciences, Macquarie University. His research focuses on understanding how the brain generates perceptual experiences, particularly in visual perception and adaptation. He holds prestigious fellowships including the NHMRC CJ Martin Postdoctoral Fellowship and ARC Queen Elizabeth II Fellowship. Education: PhD (details unspecified) Postdoctoral Work: University of Melbourne (2004-2006) and MIT (2006-2008) His research interests span cognitive neuroscience, neuroimaging, and mental health. Key projects include investigating brain mechanisms of visual perception, neural responses in eating disorders, and developing educational neuroscience programs. He consults on applying scientific insights to improve learning and well-being in schools and businesses. Awards: NHMRC CJ Martin Postdoctoral Fellowship (2006), ARC Queen Elizabeth II Fellowship (2009). Teaching: Designed a popular introductory course in cognitive and brain sciences (600+ students in 2019). Founded the Neuroscience for Kindy Kids outreach program.

• Machine Learning
• Computer Vision
• Image Processing
• +۲ مورد دیگر

Dr. Stephen Tierney is a Senior Lecturer in Business Analytics at the Sydney Business School, University of Sydney . His research focuses on machine learning , computer vision , image processing , and recommendation systems , with contributions to subspace clustering, data visualization, and image restoration. He advises two current PhD students: Pengqing SHI (on scalable graph neural networks) and Widhiyo SUDIYONO (on stock market prediction via deep learning). Recent work includes policy-relevant studies on NSW teachers' pay trends and labor market skill dynamics. His publications span top-tier journals like Signal Processing and conferences such as IEEE CVPR, covering topics ranging from efficient subspace clustering algorithms to image fusion techniques in remote sensing. Key contributions include robust functional manifold clustering (2021) and low-rank sequential subspace clustering (2015). Interdisciplinary projects merge business analytics with technical domains like computer vision and signal processing.

• Biomedical Engineering
• Medical Imaging
• Cardiac Electrophysiology
• +۳ مورد دیگر

Dr Duc Nguyen Minh is a Research Affiliate at the School of Biomedical Engineering, University of Sydney, specializing in biomedical engineering applications for cardiac diagnostics and interventions. His work bridges medical imaging and electrophysiology through advanced impedance-based technologies. His research centers on electrical impedance tomography (EIT) and bioimpedance for real-time cardiac monitoring, particularly in radiofrequency ablation procedures and pulmonary embolism assessment. He develops novel algorithms for image reconstruction, multi-band signal processing, and anatomical integration to enhance diagnostic accuracy in critical cardiac conditions. Publications from 2019-2022 reveal a cohesive trajectory in refining EIT for clinical cardiac applications, with emphasis on simulation validation, phantom modeling, and region-of-interest optimization. Key themes include real-time ablation tracking, pulmonary blockage assessment, and hardware-software co-design for medical devices. Dr Nguyen Minh holds two major 2023 grants: an NHMRC Development Grant for the Aurora Microwave Ablation System targeting ventricular arrhythmias, and a National Heart Foundation Postdoctoral Fellowship developing non-invasive methods to improve post-heart attack ventricular tachycardia ablation. These projects underscore his translational focus on cardiac electrophysiology interventions.

Paul Pangمشاهده پروفایل

دانشیار

• Cyber Security
• Digital Health
• Cognitive Cyber Security Intelligence
• +۶ مورد دیگر

Dr. Paul Pang is an Associate Professor of Cyber Security at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). Previously, he held a Professorship in Data Analytics and directed the Center for Computational Intelligence for Cybersecurity at Unitec Institute of Technology, New Zealand. His research focuses on Cognitive Cyber Security Intelligence, Cyber Resilience, and Applied Data Analytics for Digital Health, leveraging over NZD$3.5M in grants from organizations like MBIE and HRC. He has authored over 100 refereed articles and holds 1 patent with 3 pending applications. Education: PhD in Engineering from Shanghai Jiao Tong University (2000). Research Interests: Pang's work spans cybersecurity, digital health, and big data analytics. He develops intelligent systems for cyber threat detection, resilience frameworks, and healthcare applications. His methods include machine learning for data streams, incremental learning algorithms, and multi-agent cooperative systems. Publications Trends: His articles emphasize cybersecurity (e.g., darknet traffic analysis, malware grouping), healthcare analytics (e.g., schizophrenia prediction), and foundational machine learning (e.g., SVMs, LDA algorithms). Collaborations span institutions in Japan, China, and the U.S. Awards: IEEE Best Paper Awards (2003, 2008), Unitec Excellence Awards (2011-2015), ARC Assessor (Australia). Advising & Grants: Supervised 10+ PhD/Masters students; led 13 grants totaling NZD$3.5M. Notable students include Snjezana Soltic (Pest Survival Analysis) and Simon Dacey (Land Use Management). Professional Roles: IEEE Senior Member, Vice President of APNNS, Global AI Summit Judge (2018). Labs/Teams: Active in Federation University's Cybersecurity and Digital Health research groups. Collaborates with industry partners like NICT Japan and Telecom NZ.

• Biomedical Engineering
• Signal and Image Processing
• Ophthalmology
• +۳ مورد دیگر

Dr David Alonso-Caneiro is an Adjunct Senior Lecturer in the School of Clinical Sciences at QUT’s Faculty of Health, specializing in Optometry and Vision Science. He holds a PhD from QUT (2010) and has held postdoctoral and industry roles, including at Analog Devices Inc. His research focuses on biomedical engineering applications in ophthalmology, particularly signal/image processing for tear film assessment and eye imaging. He leads the Contact Lens and Visual Optics Laboratory and has received the QUT Outstanding Doctoral Thesis Award 2010. His work spans corneal dynamics, optical coherence tomography, and contact lens biomechanics, with over 100 peer-reviewed publications. Professional affiliations include ORCID and Scopus profiles, and he collaborates on projects in Australia and internationally. Education: BEng (Telecommunications, University of Valencia, 2002) with First Class Honours; MEng (Electronics, University of Valencia, 2004). PhD (Optometry, QUT, 2010). Research interests: Development of non-invasive ophthalmic imaging techniques, tear film quality assessment, and application of advanced optics in clinical optometry. Key areas include dynamic-area videokeratoscopy, swept-source OCT, and lateral shearing interferometry. Recent articles emphasize corneal biomechanics under contact lenses, choroidal vascularity changes, and AI-enhanced OCT analysis. Awards include the 2010 QUT thesis award for his work on tear film surface quality. Grants/Advising: Supervises optometry and biomedical engineering research projects. His lab focuses on translating engineering principles to clinical diagnostic tools in eye care. Labs/Teams: Contact Lens and Visual Optics Laboratory at QUT, collaborating with multidisciplinary teams in vision science and biomedical engineering.

Muhammad Fermi Pashaمشاهده پروفایل

مدرس ارشد

• Computational Neuroimaging
• Intelligent Network Security
• Digital Health
• +۱۵ مورد دیگر

Muhammad Fermi Pasha is a Senior Lecturer at the School of Information Technology, Monash University, Malaysia. He holds a PhD in Brain-inspired Computing from Universiti Sains Malaysia and has been actively contributing to research and teaching since joining Monash. His academic roles include lecturing and serving as Chief Examiner for courses such as FIT1008, FIT2085, FIT9123, FIT5152, and FIT3175, focusing on computer science, business information systems, and usability. PhD in Brain-inspired Computing, Universiti Sains Malaysia (2010) MSc in Computer Science, Universiti Sains Malaysia (2006) BCompSc (Hons) in Software Engineering, Universiti Sains Malaysia (2003) Dr. Pasha's research spans computational neuroimaging, intelligent network security, digital health, and big data analytics. His work integrates artificial intelligence with healthcare applications, including Alzheimer's diagnosis, mHealth platforms, and secure medical data systems. He emphasizes evolving systems, machine intelligence, and neocortex memory modeling. His projects often involve interdisciplinary collaboration and community engagement. The recent publications highlight a strong trend in AI-driven healthcare solutions, secure data systems, and behavioral analysis using deep learning. His work combines computer vision, natural language processing, and cybersecurity to address real-world challenges in medicine and public health. Themes such as microexpression recognition, EHR clustering, blockchain for IIoT, and flood modeling using CNNs reflect his diverse yet cohesive research vision. Awards for software solutions and research projects as team lead or member (specific names not provided) Dr. Pasha supervises multiple PhD students and leads significant research grants, including projects on microexpression recognition, Alzheimer's prediction, and flood modeling. He collaborates with national and international researchers and contributes to UN Sustainable Development Goals, particularly in health and education. His lab work involves developing intelligent systems for medical and environmental applications. He leads or participates in key research labs and teams focused on AI in healthcare, network security, and sustainable computing. These teams develop frameworks for early disease detection, secure data sharing, and environmental resilience using advanced machine learning and blockchain technologies.

• Chemical Biology
• Photophysics
• Biophysical Chemistry
• +۴ مورد دیگر

Toby D. M. Bell is an Associate Professor in the School of Chemistry at Monash University, where he conducts research at the intersection of chemistry and biology. He is actively involved in research and is currently accepting PhD students, indicating ongoing academic engagement. His research interests lie primarily in chemical biology , photophysics , and biophysical chemistry , with a focus on developing and applying fluorescence-based techniques to study biological systems. He specializes in super-resolution fluorescence microscopy to investigate DNA organization, damage, and repair processes at the molecular level. Additionally, he explores the optical properties of organic materials such as naphthalene diimides , aiming to enhance their brightness and utility in imaging and sensing applications. The analysis of his recent publications reveals a strong trend in review articles that synthesize advances in fluorescence methodologies and functional organic materials. His work bridges fundamental chemical principles with cutting-edge imaging technologies, contributing significantly to both synthetic chemistry and biological imaging. Scientific Awards: Prize (unspecified) Prize (unspecified) Advising and Grants: Dr. Bell is accepting PhD students, indicating active supervision in his research group. While specific grant details are not listed, his involvement in 12 research projects over more than two decades suggests sustained external funding and collaborative research activity. Labs and Teams: Although the specific name of his research group or laboratory is not mentioned, his publications and project involvement indicate leadership in a research team focused on fluorescence spectroscopy and chemical biology within the School of Chemistry at Monash University.

• Physics Education
• Nanostructured Materials
• Optical Characterization Techniques
• +۴ مورد دیگر

Dr. Annette Dowd is a Senior Lecturer at the University of Technology Sydney (UTS), School of Mathematical and Physical Sciences. She holds roles as Associate Head of School (Education and Students) since 2022 and previously served as Program Director for Biomedical Physics Programs (2019–2022). Her research focuses on physics education innovation and advanced materials characterization, combining synchrotron techniques with nanostructured materials analysis. She earned her BSc(Hons) in Medical Physics from UNSW and PhD in Physical Sciences from ANU, followed by postdoctoral work at the University of Cambridge. Education: BSc(Hons) in Medical Physics, University of New South Wales PhD in Physical Sciences, Australian National University Research Interests: Active learning strategies in physics education Optical and structural characterization of nanostructured materials Synchrotron-based techniques (X-ray, terahertz spectroscopy) Biomaterials and coral biominerals Energy storage materials and plasmonic systems Recent Article Trends: Focus on coral resilience and biomaterial applications Development of nanoporous metal sponges for catalysis and energy storage Phase transitions and molecular dynamics in biological systems Integration of synchrotron techniques for material analysis Grants & Collaborations: Lead investigator on multiple Australian Synchrotron grants (2014–2025) UTS-funded education grants for lab innovation and student mentorship Collaborations on biomaterials, energy systems, and nano-optics Teaching & Leadership: Subject coordinator for Physical Modelling and Physics 2 Designed virtual reality labs and industry mentoring programs Advocates for pedagogical innovation and student career identity

Hoang Dinhمشاهده پروفایل

دانشیار

• Wireless Communications
• Networking Systems
• Machine Learning Applications
• +۵ مورد دیگر

Associate Professor Hoang Dinh is a faculty member at the School of Electrical and Data Engineering, University of Technology Sydney (UTS), Australia. He holds an ARC DECRA Fellowship and leads research in wireless communications, machine learning applications, and cybersecurity. His work includes over 200 publications, 20,000+ citations (h-index 53), and significant industry collaborations with Cisco and Apple Inc. He teaches IoT Security and Cyber Security for Mobile Platforms, achieving high student satisfaction scores. Key awards include the IEEE TCI Rising Star Award (2023), IEEE TCSC Excellence Award (2021), and multiple editorial recognitions from IEEE Transactions. His research focuses on 6G networks, metaverse technologies, federated learning, and blockchain security. Current projects involve secure edge computing, AI-driven communication systems, and digital twin integration. Education: PhD in Computer Science from Nanyang Technological University (2016). Research Funding: AUD 6M+ in external grants, including DECRA (2021). Editorial Roles: Editor for IEEE Transactions on Communications, Network Science and Engineering, Mobile Computing, and Wireless Communications. Industry Impact: Developed IoT security frameworks and contributed to disaster management digital transformation projects recognized in iAWARDS2024.

• Automation Engineering
• Control Systems
• Robotics
• +۵ مورد دیگر

Quang Ha is an Associate Professor at the University of Technology Sydney (UTS) within the School of Electrical and Data Engineering. He has over 25 years of teaching experience and is internationally recognized for contributions to fuzzy sliding mode control and state/input estimation in robotics and smart structures. His research focuses on automation engineering, control systems, robotics, and construction automation. Ha has held leadership roles such as Deputy Head of School (Research) in the Faculty of Engineering and Information Technology. He leads a research group and has secured over $4 million in research funding from 25+ projects, including 2 ARC Discovery Projects and 3 ARC Linkage Projects. He has supervised 22 PhD and 6 Master's students to completion. His editorial roles include Associate Editorships for Automation in Construction , Robotica , and Frontiers in Robotics and AI . He has received prestigious awards, including the 2015 Sir George Julius Medal and 2023 Best Paper Award from Elsevier's Applied Soft Computing. His recent work emphasizes air quality forecasting, UAV control, and smart infrastructure monitoring. Ha's research spans environmental monitoring via AI, autonomous systems, and robotics applications in construction and energy sectors. His publications (over 300 peer-reviewed papers, 7500+ citations, h-index 40) reflect a strong focus on practical control solutions for complex engineering challenges.