جستجوی استاد راهنمای دانشگاهی

• Biomedical Data Computing
• Medical Image Processing
• Image Registration
• +۴ مورد دیگر

Associate Professor Xiu Wang is affiliated with the School of Computer Science at The University of Sydney, where she serves as Associate Director of the Multimedia Lab and a member of the Biomedical & Multimedia Information Technology (BMIT) Research Group. Her research focuses on panoramic data analysis, biomedical computing, image processing, and medical data fusion. Key projects include tumor treatment outcome prediction using deep learning, collaborative learning of multimodal medical imaging, and deformable image registration techniques. She teaches courses such as COMP5214 (Software Development in Java) and supervises graduate students in AI-driven medical diagnostics and imaging. Notable collaborations involve Dr. Hui Cui and Mr. Chaojie Zheng. Her work bridges computer science and healthcare, emphasizing AI applications in oncology, radiology, and neuroimaging. Recent articles highlight advancements in MRI segmentation, PET/CT radiomics, and graph neural networks for disease diagnosis. She actively contributes to interdisciplinary research, integrating computational methods with clinical data for precision medicine.

Neil Bergmannمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things (IoT)
• Embedded Systems
• +۶ مورد دیگر

Neil Bergmann is an Honorary Professor at the School of Electrical Engineering & Computer Science, University of Queensland. His research focuses on wireless sensor networks, IoT, embedded systems, and machine learning with applications in cybersecurity, energy efficiency, and industrial monitoring. He has contributed extensively to fields like cryptographic acceleration, localization systems, and sensor network optimization. His work bridges hardware-software co-design and practical implementations in domains such as healthcare and industrial automation. His academic career includes significant contributions to journals and conferences, with a focus on advancing technologies like energy harvesting, real-time data processing, and secure communication protocols. Collaborations span academia and industry, addressing challenges in sensor networks, embedded systems, and smart environments. Notable research includes energy-efficient machine fault diagnosis using industrial wireless sensor networks and secure authentication systems leveraging kinetic energy harvesting. His publications highlight interdisciplinary approaches to solving complex technical problems, emphasizing practical applicability and innovation.

Katherine Bodeمشاهده پروفایل

استاد

• Digital Humanities
• Computational Literary Studies
• Data-Rich Literary History
• +۵ مورد دیگر

Prof. Katherine Bode is a Professor of Literary and Textual Studies at the School of Literature, Languages & Linguistics, Australian National University (ANU). She leads research in computational literary studies, digital humanities, and Australian literary history. Her work bridges traditional literary scholarship with computational methods, focusing on digitized archives like 19th- and 20th-century newspapers. Education: PhD in English (University of Queensland, 2006); BA (Hons), PhD, Grad Cert in Education. Prior roles include ARC Postdoctoral Fellow at Sydney University and Lecturer at the University of Tasmania. She directed ANU’s Digital Humanities Hub (2011–2013) and has held ARC grants for projects on newspaper fiction and Irishness in Australian literature. From 2018–2023, she was an ARC Future Fellow exploring computing, reading, and writing in literary studies. Research Interests : Digital Humanities, computational methods for literary analysis, Australian literary history, book history, and publishing studies. Her work emphasizes data-rich approaches to cultural history and the ethical implications of AI in humanities research. Publications : Over 50 scholarly works, including books like A World of Fiction (2018) and Reading by Numbers (2012). Recent projects include analyzing global literary patterns in digitized newspapers and examining the intersection of AI with literary studies. Awards : Fellow of the Australian Academy of Humanities (2019); multiple ARC grants, including a 2023 Discovery Grant for Irishness in Australian literature. Grants & Projects : Currently leads projects like Close Relations: Irishness in Australian Literature (2023–2026) and Read all about it: Digital participation in Australian newspaper fiction (2021–2025). Prior grants include a 2020 Special Research Initiative on 20th-century newspapers. Labs/Teams : Associated with ANU’s Digital Humanities Hub and collaborates internationally on computational literary studies and AI ethics.

Scott Thompson-Whitesideمشاهده پروفایل

استاد

• Human-centered Design
• Machine Learning
• EEG Data
• +۶ مورد دیگر

Scott Thompson-Whiteside is a Professor and Executive Dean at Torrens University Australia's School of Design and Creative Technology. With a career spanning over two decades, he contributes to research in human-centered design , machine learning , and sustainable transportation . His work bridges design innovation with technological solutions, particularly in electric bus systems and deepfake detection. Key Research Areas : Human-centered design, EEG data analysis, Industry 4.0, drone technology, design education Recent Research Trends (2022-2025): Machine learning in neurological disorder detection (e.g., epilepsy via EEG graphs) Deepfake detection techniques Design-led sustainable public transport systems in Malaysia Ethical frameworks for drone vision applications Industry 4.0 adoption challenges in creative sectors Academic standards in transnational education Academic Leadership : As Executive Dean, he actively supervises PhD students and influences higher education policy. His teaching innovations focus on design thinking and internationalization of curricula.

• Food Microbiology
• Bioactive Compounds from Medicinal Plants
• Environmental Microbiology
• +۴ مورد دیگر

Enzo Palombo is a Professor and Acting Executive Dean at Swinburne University's School of Science, Computing and Emerging Technologies. His academic career began with a PhD from La Trobe University on bacterial conjugation genetics, followed by postdoctoral research at the Royal Children's Hospital on gastroenteritis viruses. He holds a Fellowship of the Australian Society for Microbiology (FASM) and served on its Victorian Branch committee (1996–2014). He is also an Executive Committee member of the Australian Council of Environmental Deans and Directors (ACEDD). Research focuses include food microbiology, bioactive compounds from plants/fungi, environmental microbiology, nanotechnology, and virology. He leads projects on antimicrobial coatings, microplastic biodegradation, and biofilm control. Over 60 HDR students have been supervised, with topics ranging from wound care applications of endophyte metabolites to microbially influenced corrosion. Notable achievements include the 2020 FASM Fellowship and 2011 Distinguished Service Award. He has secured grants totaling millions澳元, including ARC funding for biofilm research and industry collaborations on antimicrobial technologies. Key publications (2021–2025) address smart microalgae incubators, nanoparticle drug delivery, and computational discovery of biofilm inhibitors. Public engagement includes media commentary on bird flu outbreaks (2024) and food safety. His leadership extends to university administration while maintaining active roles in interdisciplinary research teams addressing global challenges like antimicrobial resistance and sustainable agriculture.

• Artificial Intelligence
• Machine Learning
• Spatial Reasoning
• +۳ مورد دیگر

Dr. Paulo Santos is a Senior Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence with a focus on explainable AI systems. He holds a PhD from Imperial College London (2003) and has over 20 years of research experience in spatial reasoning, machine learning, and robotics. His work bridges knowledge representation with deep learning to enhance transparency in AI decision-making. Dr. Santos has led research groups in Brazil, collaborated internationally, and secured funding from organizations like the British Council and EU. His expertise spans robotics, computer vision, and cognitive science. Notable achievements include the British Computer Science Machine Intelligence Prize (2004) and the Santander Prize for Science and Innovation (2006). Research interests include reinforcement learning for autonomous underwater vehicles (AUVs), scene graph generation in computer vision, and spatial reasoning for multi-robot systems. Recent work emphasizes sim-to-real transfer learning and fault recovery in underwater robotics.

Xiaoning Duمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Artificial Intelligence
• Cybersecurity
• +۳ مورد دیگر

Xiaoning Du is a Senior Lecturer (equivalent to Associate Professor) in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. She holds a PhD from Nanyang Technological University (2020) and a Bachelor's from Fudan University (2014). Her research focuses on software security and quality assurance for traditional and AI-based systems, with notable contributions to DevOps for AI, vulnerability detection, and runtime verification. Education: PhD in Computer Science, Nanyang Technological University (2015–2020) Bachelor of Software Engineering, Fudan University (2010–2014) Research Interests: Security of intelligent software systems, AI-driven software testing, DevOps for AI, and trustworthy AI services . Her work emphasizes practical applications like Devign (vulnerability detection), DeepStellar (deep learning system analysis), and BigCodeBench (code generation benchmarking). Recent Projects: Collaborations include CSIRO cybersecurity initiatives, Algorand Center of Excellence, and IBM-funded research. She leads projects addressing AI ethics, federated learning security, and code completion robustness. Awards: 2024 Google Research Scholar Award, 2024 FIT Dean’s Early Career Award, and multiple distinguished paper awards at top venues like ACM SIGSOFT and ICLR. Labs/Teams: Active in Monash’s cybersecurity and AI research groups, contributing to open-source tools like DeepStellar and BigCodeBench . She advises PhD students and mentors on scholarships.

• Biosecurity
• Veterinary Epidemiology
• Statistical Modeling
• +۴ مورد دیگر

Dr. Devindri Perera is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) within the Faculty of Science and Engineering. He is also affiliated with the Office of the Provost, demonstrating administrative and academic leadership roles. His research focuses on interdisciplinary areas including biosecurity systems, veterinary epidemiology, statistical modeling, and genomics. Dr. Perera's work spans environmental science (biosecurity border management), veterinary medicine (equine health and endocrinology), and computational methods (data clustering, statistical algorithms). His biosecurity research emphasizes risk assessment and spatial-temporal analysis of non-indigenous species, while his veterinary studies investigate equine physiology and disease mechanisms. In genomics, he contributes to identifying genetic markers for neurological disorders like multiple sclerosis. His publications from 2006–2023 reflect a strong focus on statistical methodologies in interdisciplinary contexts, including genome-wide association studies, algorithm validation for genotyping, and applied econometric models. This demonstrates a blend of theoretical rigor and practical problem-solving across diverse domains. Though no specific awards or grants are listed in this profile, his prolific publication record and cross-disciplinary approach highlight sustained academic engagement. His research collaborations span institutions globally, addressing both environmental and biomedical challenges.

• Statistical Education
• Environmental Modeling
• Science Communication
• +۲ مورد دیگر

Dr. Rachel King is an Associate Professor in the School of Mathematics, Physics and Computing at the University of Southern Queensland. Her applied research spans statistical applications in environmental science, public health, and agricultural risk management. She develops spatial modeling frameworks for ecological conservation and designs UV exposure assessment methodologies for skin cancer prevention. Her research group focuses on creating statistical tools for environmental decision-making, including wildlife corridor design, drought forecasting systems, and climate risk models for agriculture. Current projects investigate human-wildlife conflict mitigation and optimize bushfire preparedness strategies. Publication analysis shows strong emphasis on interdisciplinary collaboration, blending advanced statistics with practical environmental applications. Recent methodological innovations include INLA-SPDE spatial models and electronic UV monitoring systems. She leads community engagement initiatives on disaster preparedness and mentors graduate students in statistical applications for environmental science.

• Medical Image Analysis
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Dr Himashi Peiris is a Research Fellow in the Department of Data Science & AI at Monash University's Faculty of Information Technology in Australia. She holds a PhD in Biomedical Engineering from Monash University (2024) and a Bachelor's in Information Technology from the University of Moratuwa, Sri Lanka. Her work focuses on semi-supervised learning, medical image analysis, and AI-driven healthcare solutions. She has over three years of industry experience in software engineering. Research interests include developing machine learning algorithms for medical imaging challenges, particularly in scenarios with limited labeled data. Her innovations span neural networks, transformer architectures, and uncertainty-guided segmentation techniques applied to MRI, CT scans, and biomedical datasets. Her publications in Nature Machine Intelligence and MICCAI conference highlight contributions to semi-supervised segmentation and AI-driven diagnostic tools. Notable collaborations include the development of PINGU for perivascular space identification and adversarial networks for construction waste recognition. Awards include the 2023 Victorian Biomedical Imaging Capability Early Career Award and 2023 IEEE ACS Student Writing Award. Her work has been featured in media outlets and Mendeley platforms, emphasizing AI's role in medical decision-making.

• Cybersecurity
• Data Security and Privacy
• Context-Aware Access Control
• +۵ مورد دیگر

Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.

• Wireless Communications
• Internet of Things (IoT)
• Optimization
• +۷ مورد دیگر

Dr. Khoa Phan is a Senior Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. He holds an ARC DECRA Senior Research Fellowship (2020-2023) and has held prior positions at UCLA, Monash University, and others. His academic background includes a B.Eng. (UNSW), two M.Sc. degrees (University of Alberta and Caltech), and a Ph.D. in Electrical Engineering from McGill University. Dr. Phan's research focuses on optimizing next-generation communication networks, particularly in wireless communications, IoT, satellite systems, and machine learning applications. He has secured significant grants, including ARC Discovery Projects and industry partnerships. His work emphasizes secure cyber-physical systems, federated learning, and edge computing. He has received prestigious awards such as the ARC DECRA and Atwood Fellowship. His research spans over 100 publications, with contributions to areas like OTFS modulation, secure satellite communications, and graph-based anomaly detection. He actively supervises PhD students and collaborates internationally, including initiatives to strengthen ties between La Trobe University and Vietnamese institutions. Grants include ARC Discovery Projects (totaling $1.3M+), CRC SmartSAT, and industry scholarships. His work addresses energy efficiency, secure resource allocation, and AI-driven solutions for 5G/6G networks and the metaverse.

• Economics
• Demography
• Public Health
• +۶ مورد دیگر

Simon Chan is an Adjunct Lecturer at the School of Engineering, Department of Electrical, Electronic and Computer Engineering, affiliated with The University of Western Australia. His research spans economics, demography, public health, and environmental studies with a focus on historical demography, gender disparities, and policy impacts. Research interests include the long-term effects of environmental exposures (e.g., DDT), education policy on fertility, and sociological dynamics like sex ratios and conflict impacts. His work combines quantitative methods with interdisciplinary approaches, often leveraging historical data and policy analysis. Recent articles explore topics such as entrepreneurship origins in Australia’s convict history, mortality linked to sex ratios, and behavioral responses to environmental pollutants. His findings contribute to debates on public health, education reform, and social policy design. No scientific awards or grants are explicitly listed in the provided materials. No student advising or lab affiliations are noted.

• Materials Science
• Nanotechnology
• Battery Materials
• +۵ مورد دیگر

Adjunct Professor Jose Alarco is a Materials Scientist affiliated with the Faculty of Science and School of Chemistry & Physics at Queensland University of Technology (QUT) . He holds a PhD in Materials Science from Chalmers University of Technology and has extensive experience in industrial R&D, co-founding ScienceWorks Consultants Pty Ltd to commercialize nanoscale material synthesis technologies. PhD in Materials Science, Chalmers University of Technology (1994) His research spans nanostructured materials for energy applications, including Lithium-ion batteries , catalysis , and ceramics . He specializes in scaling processes from lab to commercial plant production, with patents in complex metal oxide synthesis and battery materials . The 15 most recent publications highlight his focus on solid-state chemistry , energy storage , and computational materials science . Trends include advanced battery electrolytes , graphitic carbon from bio-waste , and superlattice structures in superconductors . Scientific Contributions are reflected in >8 patents, including methods for metal oxide synthesis and electrochemical testing . Collaborations with global firms (e.g., BASF , Valence Technology ) demonstrate industrial impact. As a supervisor , he guided doctorate projects on topics like cathode materials and graphene growth , though student names aren't listed. His work with ScienceWorks Consultants and QUT's Institute for Future Environments underscores his dual academic-industry engagement.

• Time Series Forecasting
• Decision Optimization
• Machine Learning
• +۵ مورد دیگر

Mahdi Abolghasemi is a Senior Lecturer in Statistical Data Science at Queensland University of Technology (QUT), within the School of Mathematical Sciences, Faculty of Science. He previously held academic positions at Monash University and The University of Queensland. He serves on the editorial board of the International Journal of Forecasting and reviews for journals like Scientific Reports , International Journal of Production Research , and Applied Energy . Education: PhD in Statistics (University of Newcastle). Research Interests: Time series forecasting, decision optimization, and machine learning applications in retail and energy sectors. His work focuses on hierarchical structures, systematic events, and volatility in time series data, with funded projects exceeding $900k. Notable areas include demand forecasting in supply chains, renewable energy forecasting, and decision-focused predictive analytics. His research has been recognized by awards from the International Institute of Forecasters, Australian Mathematical Society, and IEEE Computational Intelligence Society. Awards: International Institute of Forecasters Award Australian Mathematical Society Award IEEE Computational Intelligence Society Award Australian Mathematical Sciences Institute Recognition Teaching: A Fellow of the Higher Education Academy (FHEA), he emphasizes bridging theory with industry-relevant projects. Courses taught include data science, business analytics, time series forecasting, and statistical machine learning. Received the Faculty of Science Highly Regarded Early Career Teaching Excellence Award at The University of Queensland. Grants & Funding: Over $900k from national/international organizations supporting his research in forecasting and optimization. Supervision: Currently accepting research students in areas such as hierarchical forecasting, Bayesian-focused learning, inventory optimization, and energy supply chain decision-making. Research Centres: Energy Transition Centre and Centre for Data Science at QUT. Collaborations with industry partners like Sanitarium, Coles, Woolworths, Australian Energy Market Operator (AEMO), and Australian Renewable Energy Agency (ARENA).