جست‌وجوی استاد و پژوهشگر

Brian Ballsun-Stantonمشاهده پروفایل

پژوهشگر

• Digital Humanities
• Generative AI
• Natural Language Processing
• +۴ مورد دیگر

Dr Brian Ballsun-Stanton is a Solutions Architect (Digital Humanities) at Macquarie University's Faculty of Arts. He specializes in AI integration in higher education, leading initiatives such as the university's 'Guidance Note: Using Generative AI in Research' and winning the 2024 Faculty of Arts Educational Leadership Award. His work spans AI policy, pedagogy, and interdisciplinary applications across languages, security studies, and law. With over 15 years' experience as a data scientist, he has pioneered open-source tools like FAIMS Mobile for field research and led AUD$3.5M+ in grants focused on big data analysis of violent extremism and archaeological projects. Education: PhD in Philosophy of Data (not explicitly stated, inferred from biography). Research Interests: Generative AI ethics, digital humanities, social network analysis, and the intersection of technology with humanities scholarship. He focuses on AI-enhanced learning, critical evaluation of large language models, and FAIR data principles in epigraphy and archaeology. Articles Trends: Recent work emphasizes AI policy frameworks, generative AI applications in education, and computational methods in archaeology. Earlier publications explore far-right online ecosystems and social media analysis. Awards: 2018 DataApp Prize (environmental data transparency), 2024 Educational Leadership Award. Grants/Projects: Led projects on violent extremism (AUD$3.5M+), FAIMS Mobile development, and Roman Dalmatia military communities. Technical Director of FAIMS Project since 2013. Labs/Teams: Technical lead for the FAIMS Project, collaborating internationally on archaeological digital tools and open-source field data systems.

• Machine Learning
• Applied Computing
• Data Management and Data Science
• +۱ مورد دیگر

Dr. Elham Naghizade is a Lecturer at RMIT University's School of Computing Technologies. Her research focuses on machine learning, applied computing, data science, and human-centered computing. She has supervised projects addressing topics like cryptocurrency consensus algorithms, social media analysis, and urban sensing data. Her work integrates interdisciplinary approaches to solve real-world problems, including privacy-preserving data analysis, sentiment-driven service quality assessment, and error detection in spatial data. Recent contributions include advancements in time series classification, trajectory analysis, and fake news detection via Twitter data. Dr. Naghizade actively collaborates on research-based supervision projects, exploring cutting-edge areas such as prescriptive analytics and XAI-driven 3D model construction. Her publications span journals like Data Mining and Knowledge Discovery and Public Transport , reflecting her expertise in algorithm design, geospatial computing, and data-driven solutions. Advising and grants: Her research has been supported through collaborative projects focusing on urban mobility, healthcare communication, and public transport service quality. Key contributions include developing frameworks for vaccine information dissemination and improving spatial data quality through qualitative reasoning.

John Thangarajahمشاهده پروفایل

استاد

• Artificial Intelligence
• Autonomous Systems
• Knowledge-based Reasoning
• +۳ مورد دیگر

John Thangarajah is a Professor in AI and Director of Research at the Center for Industrial AI Research & Innovation (CIAIRI) at RMIT University, Melbourne. He leads research directions, academic partnerships, and industry collaborations, focusing on applied research with over $4M in government/industry funding. His expertise spans Autonomous Systems, Knowledge-Based Reasoning, and Agent-Based Modelling. He holds awards including the 2020 Vice Chancellor’s Leadership Award for fostering collaboration in Computer Science and the 2017 AAMAS Best Paper Blue Sky Track. Education: Extensive background in CS/IT education, transformed first-year Computer Science curricula to hands-on experiential learning. Research: Specializes in AI-driven smart systems, human-machine teams, and multi-agent systems. Member of IFAAMAS board. Publications: Over 147 peer-reviewed works in AI, including advancements in explainable agents, reinforcement learning, and medical imaging applications. Awards: Recognized for innovation in AI (Telstra 2011), demonstration excellence (2005), and leadership in academia. Grants: Secured significant funding from DST Group and industry partners, emphasizing practical impact. His lab focuses on AI applications in security, resilience, and industrial innovation through CIAIRI and the Security & Resilience Hub.

Mahdi Jaliliمشاهده پروفایل

استاد

• Complex Networks
• Dynamical Systems
• Control Systems
• +۳ مورد دیگر

Professor Mahdi Jalili is a faculty member at the School of Engineering, RMIT University, Australia. His research focuses on complex networks, dynamical systems, control systems, graph theory, and machine learning applications. He actively supervises research students in areas such as vehicle-to-home (V2H) technology, AI-driven sustainability solutions, and smart grid optimization. His work integrates theoretical frameworks with practical applications in energy systems, transportation, and data analytics. Education: Not explicitly detailed in the text. Research interests include network control, machine learning for energy analytics, and the integration of renewable energy systems. His recent projects address challenges in electric vehicle infrastructure, grid stability, and distributed energy resource management. Collaborations focus on advancing smart grids and sustainable urban transportation systems. Publications span journals like Expert Systems with Applications and IEEE Transactions , covering topics from graph neural networks to grid-forming inverter placement. His work emphasizes interdisciplinary solutions for modern energy and transportation challenges.

Asha Raoمشاهده پروفایل

استاد

• Cybersecurity
• Graph Theory
• Combinatorics
• +۷ مورد دیگر

Professor Asha Rao is a distinguished academic at RMIT University, holding the title of Professor in Mathematics and Cybersecurity. She has been instrumental in advancing cyber-mathematics to enhance cybersecurity. Her roles include Associate Dean of Mathematical Sciences (2017–2023) and Interim Director of the Australian Mathematical Sciences Institute (AMSI) (2020). She champions gender equity in STEM and frequently engages in public science communication. University: RMIT University School: School of Science Academic Rank: Professor Research Focus: Her work spans cybersecurity, coding theory, complex networks, and risk management, often integrating mathematical frameworks to address real-world problems like money laundering and small business digital security. She also explores fractal analysis and post-quantum cryptography. Recent Publications: Highlight recent advancements in post-quantum homomorphic encryption, small business cybersecurity frameworks (2021–2025), and data fusion techniques for internal network anomaly detection. Her research bridges technical innovation with policy implications. Scientific Recognition: 2019–2020 Science & Technology Australia Superstar of STEM 2021 Victorian Honour Roll of Women (Trail Blazer) 2021 India Australia Science and Technology Development Award 2016 RMIT Media Stars Award Teaching & Leadership: Actively supervises Masters and PhD students, emphasizing teamwork in cybersecurity education. She led curriculum design initiatives and addressed non-technical skills gaps in the industry (2020). Her leadership extends to national organizations like AMSI. Community Engagement: Promotes cybersecurity through media appearances (ABC News, Australian Financial Review) and events like Pint of Science. She co-founded Women in Mathematics and advocates for girls in STEM.

Xinghuo Yuمشاهده پروفایل

استاد

• Control Systems
• Complex Networks
• Cyber-Physical Systems
• +۳ مورد دیگر

Xinghuo Yu is a Distinguished Professor and Vice-Chancellor's Professorial Fellow in the School of Engineering at RMIT University (Australia). He holds leadership roles, including Associate Deputy Vice-Chancellor and Chair of the RMIT Professorial Academy. His academic career spans over three decades, with prior positions at the University of Adelaide and Central Queensland University. Research & Awards: Yu specializes in Control Systems, Complex Networks, Cyber-Physical Systems, Smart Grids, and Artificial Intelligence. He has been recognized with prestigious awards, including the Australasian Artificial Intelligence Distinguished Research Contribution Award (2018) , M A Sargent Medal (2018) , and IEEE Industrial Electronics Society Achievement Award (2013) . He is a Fellow of the Australian Academy of Science, IEEE, and Engineers Australia. Leadership & Engagement: Yu has held executive roles such as President of IEEE Industrial Electronics Society (2018–2019) and Non-Executive Director of Oceania Cyber Security Centre. His research bridges theory and application, with over 1,000 publications and recognition as a Clarivate Highly Cited Researcher in Engineering (2015–2024). Labs & Collaborations: Leads the Intelligent Informatics and Control Research Group , focusing on smart grid optimization, cyber-physical systems, and AI-driven solutions for energy and security challenges. His work addresses real-world issues like renewable energy integration, electric vehicle infrastructure, and resilient power systems.

Estrid Heمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Data Mining
• Deep Learning
• +۳ مورد دیگر

Dr. Estrid He is a Senior Lecturer at RMIT University's School of Computing Technologies. She obtained her PhD from the University of Melbourne in 2020, where she subsequently served as a postdoctoral research fellow. Her research bridges natural language processing, data mining, and deep learning optimization, with applications spanning healthcare, communications, and algorithmic fairness. Research Focus: Core NLP techniques for knowledge extraction from complex texts (patents, medical records) Enhancing security/efficiency of deep learning models in resource-constrained environments Multimodal learning integrating text, sensor data, and biomedical signals Fairness-aware AI systems for computer vision and graph neural networks Her publication portfolio demonstrates strong cross-disciplinary collaboration, with recent work in: Wireless communications (terahertz signal processing, 6G hardware) Biomedical applications (brain disorder prediction, clinical NLP) Generative models for sensor data and multimodal content Algorithmic fairness in computer vision and graph networks She actively supervises graduate research, with current projects including: Graph learning for brain disorder prediction Multimodal health data mining Privacy-preserving AI for urban sensing Integration of spiking neural networks with LLMs

• Machine Learning
• Evolutionary Computation
• Multiobjective Optimization
• +۱۰ مورد دیگر

Professor Xiaodong Li is a faculty member at RMIT University's School of Computing Technologies, serving as Assistant Associate Dean for Data Science & Artificial Intelligence. He holds a Ph.D. in Artificial Intelligence from the University of Otago, New Zealand. His research focuses on machine learning, evolutionary computation, swarm intelligence, and optimization techniques with applications in blockchain security, renewable energy, and logistics. He has received prestigious awards including the 2013 ACM SIGEVO Impact Award and the 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and is an IEEE Fellow. His academic contributions include editorial roles at IEEE Transactions on Evolutionary Computation and leadership in IEEE Task Forces on Swarm Intelligence and Multi-modal Optimization. Current research interests span automated code generation, quantum AI-driven logistics, and anomaly detection. Supervision projects highlight interdisciplinary applications in AI ethics, solar energy monitoring, and fraud detection. Education: Ph.D. in Artificial Intelligence, University of Otago, New Zealand Key Roles: IEEE Fellow, ARC College of Experts (2023–2025) Publications: Over 280 peer-reviewed articles, including works on niching methods and evolutionary algorithms. Research trends show strong emphasis on hybrid optimization techniques, blockchain security, and AI-driven solutions for sustainability challenges. Recent articles explore dynamic environments, quantum rerouting strategies, and explainable machine learning systems. Awards: ACM SIGEVO Impact Award, IEEE Fellow, ARC College Membership Grants/Projects: Multiple industry-collaborative grants in smart logistics and energy systems. He leads the Data Science & AI team at RMIT, fostering innovation in large-scale optimization and metaheuristics. Active in international conferences like GECCO and IEEE CEC, he promotes open-source benchmark datasets for algorithm testing.

• Cryptography
• Information Security
• Secure Multiparty Computation
• +۲ مورد دیگر

Louis Cianciullo is a researcher affiliated with James Cook University, where he completed his PhD in 2022. His research focuses on cryptography, information security, and secure multiparty computation, with a particular emphasis on unconditional security and privacy-preserving algorithms. He has collaborated extensively with Hossein Ghodosi on topics such as oblivious polynomial evaluation, secret sharing, and cryptographic protocol analysis. His work also extends to interdisciplinary applications, such as using image processing for agricultural automation in pearl oyster selective breeding. Education: PhD in Information Security, James Cook University (2022) Research Interests: His primary contributions lie in advancing cryptographic techniques for secure computation, including multi-party computation protocols, cheating detection mechanisms, and theoretical foundations of information-theoretic security. He also explores practical applications of computer vision and image processing in real-world scenarios. Grants and Advising: While no specific grants or advising roles are explicitly listed, his active publication record from 2018 to 2022 suggests sustained engagement in research projects and collaborations.

• Cyber Security
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Hussain Ahmad is an Assistant Professor (Lecturer) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on Cyber Security, Software Engineering, and Generative AI, with a particular emphasis on industry-driven innovation and real-world applications. He collaborates with prestigious institutions such as the Department of State Development South Australia, Defence Science and Technology Group Australia, and Cisco. Dr. Ahmad completed his PhD at the University of Adelaide, where he explored enhancing C2 network security, software vulnerability management, and scalable microservice architectures. He has led over 15 R&D projects, resulting in 12 peer-reviewed publications in top-tier venues like CORE A* and A-ranked conferences. His teaching philosophy integrates industry relevance, continuous feedback, and cutting-edge content, ensuring students gain practical skills aligned with modern IT demands. He advises students on research projects and maintains a strong focus on cloud-native systems, self-adaptive frameworks, and AI applications. Key contributions include frameworks like Smart HPA for resource-efficient auto-scaling and Co-Evolutionary Defence for Active Directory systems. His work bridges academia and industry, addressing challenges in cyber situational awareness, DevOps practices, and large-scale system resilience.

• Software Engineering
• Cybersecurity
• Microservices Architecture
• +۴ مورد دیگر

Colin Fidge is a Professor in the Department of Computer Science at Queensland University of Technology (QUT), Australia. His research focuses on software engineering, cybersecurity, and distributed systems, with emphasis on microservices architecture, industrial control systems, and IoT applications. He collaborates extensively with institutions like QUT's School of Electrical Engineering and Computer Science, contributing to projects in smart cities, fog computing, and blockchain-based manufacturing security. Key research interests include reengineering legacy systems into microservices, anomaly detection in industrial networks, and secure communication protocols for UAVs. He has published widely in top journals like IEEE Transactions and Information and Software Technology. His work spans theoretical contributions (e.g., Petri net models for anomaly detection) and applied solutions (e.g., fog/IoT framework optimizations). Notable publications address challenges in edge computing, data distribution for large-scale systems, and cybersecurity for critical infrastructure. He has co-authored over 161 papers and contributed to books on secure manufacturing and asset management.

• Business Process Management
• Process Modeling
• Enterprise Architecture
• +۳ مورد دیگر

Jan Mendling is a Professor in the School of Information Systems at Queensland University of Technology (QUT). His research focuses on Business Process Management (BPM), Process Modeling, and Enterprise Architecture. He has collaborated extensively with leading scholars such as Wil van der Aalst, Jan Recker, and Marcello La Rosa. His work emphasizes improving process model quality, comprehension, and the application of technologies like blockchain to BPM. Key contributions include the development of the APROMORE process model repository, guidelines for process modeling (7PMG), and studies on collaborative process design. His research spans empirical studies on model usability, computational methods for behavioral analysis, and interdisciplinary applications in organizational systems. Publications highlight innovations in process model abstraction, error measurement, and the impact of visual design on comprehension. Collaborations with institutions like TU Eindhoven and international conferences (e.g., BPM, CAiSE) underscore his global academic influence. Though no awards are explicitly mentioned, his prolific output and citation counts reflect significant recognition in the field.

• Early Childhood Education
• Digital Technologies in Education
• Leadership in Early Childhood Services
• +۴ مورد دیگر

Emma Cross is an Associate Lecturer in the School of Education at Curtin University, part of the Faculty of Humanities. She coordinates the Bachelor of Early Childhood Education and Educational Studies courses and serves as an Associate Investigator with the Australian Research Council’s Centre of Excellence for the Digital Child. Her research focuses on digital technologies in early learning, leadership in early childhood services, and fostering creative thinking through innovative pedagogies. She holds a Bachelor of Commerce in Management and Marketing, a Master of Teaching in Early Childhood Education, and is pursuing a PhD on leadership in Early Childhood Services. Her work integrates practical experience as a former centre director with academic research, including collaborations with institutions like Scitech to develop digital learning tools. Emma’s awards include the 2024 New Voice in Early Childhood Leadership and 2022 Early Childhood Australia Barbara Creaser Young Advocate of the Year. She has secured grants for research projects and co-leads Curtin’s Early Childhood Education Research Cluster. Her recent publications highlight digital technology integration, parent-child dynamics in digital play, and leadership frameworks in early childhood sectors.

• Biosurveillance of communicable diseases
• Infectious disease informatics
• Genomic epidemiology
• +۳ مورد دیگر

Professor Vitali Sintchenko is a public health microbiologist and informatician at The University of Sydney, affiliated with the School of Medical Sciences , Sydney Infectious Diseases Institute , and Westmead Institute for Medical Research . As a Clinical Microbiologist with NSW Health Pathology , he develops genomic epidemiology tools for communicable disease surveillance, focusing on tuberculosis, pertussis, and Salmonella. His work integrates pathogen genomics with clinical data to improve outbreak detection and control. MBBS, PhD, FRCPA, FACHI Member, Commonwealth Public Health Laboratory Network and Communicable Diseases Genomics Network Leadership in Mycobacterium Reference Laboratory and Enteric & Pneumococcal Reference Laboratories Research spans: Genomic surveillance of epidemic bacterial pathogens Development of decision support systems for outbreak response Integration of syndromic surveillance with molecular epidemiology Microbiome analysis in respiratory infections Antimicrobial resistance genomics Machine learning applications in pathogen tracking Recent publications demonstrate leadership in Salmonella and Tuberculosis genomic epidemiology, with Nature , Lancet , and PLoS contributions. His team's work on SARS-CoV-2 variants and Shigella sonnei evolution highlights real-time surveillance applications. Scientific contributions include: World's first book on Infectious Disease Informatics (Springer, 2010) Development of MGTdb genomic database Creation of DODGE outbreak detection algorithm Advancements in CRISPR-based diagnostics Key role in Australian Pathogen Genomics Program As an academic leader, he supervises students working on: Ellen Donnan : TB control strategies in NSW David Pham : Metagenomic pathogen detection Sarah Smith : Pneumococcal disease genomics Michael Wehrhahn : Dientamoeba fragilis epidemiology His laboratory at Westmead Hospital develops: Genomic outbreak detection systems AI-driven surveillance tools Pathogen transmission mapping Drug resistance prediction models

Mark Dixonمشاهده پروفایل

استاد مهمان

• E-Commerce for International Trade and Trade Finance
• International Trade
• Trade Finance
• +۶ مورد دیگر

Mark Dixon is a visiting academic at the University of Western Australia , affiliated with the Research Directorate . He serves as Associate Director, Research Ethics and Integrity , focusing on governance and ethical frameworks in research. His academic work spans E-Commerce for International Trade and Trade Finance , with a particular emphasis on digital commerce, trust-building in online environments, and cross-cultural dynamics in China.