Find Academic Supervisors

• Wireless Communications
• Digital Communication Theory
• Error Control Coding
• +7 more

Branka Vucetic is a Laureate Professor and ARC Laureate Fellow at The University of Sydney's School of Electrical and Computer Engineering. She leads the Centre for IoT and Telecommunications, focusing on advancing wireless communication systems, including mmWave, URLLC, and IoT. Her research spans coding theory, multi-user detection, and networked control systems. With over 300 publications and four books, she has received prestigious awards such as the Chinese Government Friendship Award and the CSIRO Eureka Prize. She advises numerous PhD and Master’s students on topics like RIS-assisted wireless communications and AI-driven clinical decision support. Education: MSc and PhD from the University of Belgrade. Research interests include 6G technologies, reconfigurable intelligent surfaces, and mission-critical IoT applications. Her work addresses latency, reliability, and energy efficiency challenges in modern communication networks. Current roles include Director of the Centre for IoT and Telecommunications and Fellowships in multiple academies. Awards highlight her contributions to innovation and leadership in engineering and science. She collaborates on projects funded by ARC and industry partners, focusing on practical applications like smart grids and autonomous systems.

Maria OrlowskaView profile

Academic

• Workflow Management
• Database Systems
• Data Mining
• +3 more

Honorary Professor Maria Orlowska is affiliated with the School of Electrical Engineering & Computer Science at the University of Queensland. Her research focuses on workflow systems, database integration, data mining, and wireless sensor networks. She has contributed extensively to collaborative business process technologies, flexible workflow modeling, and RFID data management. Her work spans theoretical foundations in process constraints, distributed systems, and practical applications in enterprise integration and real-time data analytics. Key research areas include workflow exception handling, multidatabase integration methodologies, and optimization of dynamic processes. Her studies on sensor networks address routing algorithms and telemetry systems. She has collaborated on projects involving smart shop floors, e-learning platforms, and spatial data management. Notable contributions include methodologies for business contract compliance and service-oriented architecture advancements. Publications emphasize interdisciplinary applications of computer science principles, with a focus on real-world system implementations. Her work bridges theoretical computer science with practical engineering challenges in distributed environments.

Zhongwei ZhangView profile

Senior Lecturer

• IoT Applications
• Network Security
• Data Analytics
• +5 more

Dr. Zhongwei Zhang is a Senior Lecturer at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds a BSc from Harbin Institute of Technology (1986), MSc from Vrije Universiteit Amsterdam (1993), and PhD from Monash University (1998). His research focuses on IoT applications in healthcare and agriculture, network security, data analytics, and ethics in emerging technologies. He has published over 67 articles in journals like IEEE Communications and Journal of Applied Animal Nutrition. He teaches courses such as CSC1310 Interworking and CSC8470 Network Security Management, integrating industry skills like project management and ethical decision-making. His supervisions include doctoral studies on IoT security and healthcare systems. He has contributed to grants like the Australian Research Council’s 2016 project on poultry nutrition and sensor networks in structural health monitoring. His research interests bridge theoretical and practical aspects of IoT, emphasizing cybersecurity, data privacy, and ethical technology use. Notable works include developing frameworks for healthcare IoT systems and secure authentication protocols for electronic health records.

Jon WhittleView profile

Professor

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +3 more

Jon Whittle Jon Whittle is a Professor and Director at CSIRO's Data61, Australia's national research center for data science, digital technologies, and AI. He leads a team of over 800 staff and affiliates, fostering collaborations with industries and over 30 universities. His work focuses on translating cutting-edge research into societal benefits through AI, cybersecurity, robotics, and computational science. Research Interests Whittle's research emphasizes Responsible AI , including ethical design patterns, governance frameworks, and human-values integration in software systems. He explores topics like AI risk assessment, foundation model architectures, and user-centric development for mobile apps and enterprise tools. His work bridges theory and practice, addressing challenges in AI adoption, transparency, and societal impact. Collaborations & Impact Data61 operates across CSIRO's interdisciplinary domains (e.g., health, agriculture, energy) to solve real-world problems. Whittle’s initiatives aim to operationalize ethical principles into AI systems, ensuring trustworthiness and compliance across sectors like finance and healthcare. Grants & Projects While specific grants are not detailed, his leadership role suggests involvement in large-scale national and industry-funded projects focused on AI innovation and responsible technology development.

Moji BarariView profile

Lecturer

• Data-Driven Marketing
• Consumer Behavior
• Machine Learning Applications in Marketing
• +6 more

Dr. Moji Barari is a Lecturer in the Marketing discipline at the Newcastle Business School, University of Newcastle, Australia. With a PhD in Marketing from Griffith University, she specializes in data-driven marketing research, consumer behavior analysis, and the application of machine learning in marketing. Her professional experience includes roles as a Data Scientist at Navitas Insights and Analytics (2022-2023) and as a Course Coordinator for courses such as Brand Development and Marketing, Digital Marketing, and Services and Relationship Marketing Management at the University of Newcastle. Her research focuses on leveraging advanced analytics to understand consumer behavior, marketing communications, and omnichannel strategies. Key areas include influencer marketing, sharing economy dynamics, and the ethical implications of AI in marketing. She has secured grants such as the CHSF 2024 New Start Scheme ($5,000) and contributed to projects like 'AI as an Aid for ESL Complainants.' Currently, she co-supervises a PhD candidate studying cross-cultural biometric payment preferences. Barari’s work spans 17+ journal articles and conference presentations, emphasizing meta-analytic reviews and computational methods. Her findings address topics like virtual influencer impact, actor engagement in sharing economies, and omnichannel retailing challenges. She actively engages with industry through collaborative research and policy-oriented projects.

• Human-centred computing
• Computer Science Education
• Software engineering
• +6 more

Professor Margaret Hamilton is an Honorary Professor in the School of Computing Technologies at RMIT University. She specializes in mobility, user experience, and computer science education, with research interests spanning software engineering, data management, and information systems. Her work emphasizes enhancing education through innovative pedagogical approaches and addressing challenges in mobility and urban planning. Research Interests: Software engineering in mobility, modeling, testing, and ethnographic action research; computer science education including new technologies, problem-solving, employability, and academic integrity. Current projects focus on AI-based decision making, solar power forecasting, and interdisciplinary STEM education. Advising and Grants: Engaged in numerous research projects funded by industry and academic initiatives, including studies on computational thinking education in remote schools and AI-driven student success prediction. Collaborates with industry partners to align university programs with industry needs.

• Artificial Intelligence
• Multi-Agent Systems
• Automated Negotiation
• +7 more

Bao Quoc Vo is an Associate Professor at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He is also a researcher in the Centre for Computing and Engineering Software Systems (SUCCESS). His primary research areas include artificial intelligence (AI), multi-agent systems, automated negotiation, and their applications in cloud computing, traffic management, and energy systems. Dr. Vo has received grants from organizations like the Australian Research Council (ARC), the Commonwealth Scientific and Industrial Research Organisation (CSIRO), and industry partners such as Suncorp Group and SmartSat CRC. His research interests span AI planning under uncertainty, market-based mechanisms, and ethical AI auditing. Notable contributions include work on proactive self-exploration for adversarial environments, distributed task allocation algorithms, and resilient space systems. He has supervised numerous PhD and master’s students on topics ranging from AI-driven anomaly management to healthcare applications of machine learning. Dr. Vo has been awarded the RMIT Vice-Chancellor’s Research Excellence Award and is a Senior Member of the ACM. His work frequently appears in top-tier journals like Expert Systems with Applications and IEEE Transactions on Services Computing .

• Digital Design
• Privacy in Technology
• Public Space Design
• +3 more

Dr Yu Kao is an Associate Lecturer (TIEA) in the School of Design at Queensland University of Technology (QUT), within the Faculty of Creative Industries, Education & Social Justice. His research focuses on digital design, privacy in technology, and placemaking, with a particular emphasis on geoprivacy and ethical design. Kao holds a PhD from QUT and has contributed to projects such as the Brisbane Digital Urban Experiences Horizon Scan Report and studies on cultural probes for privacy reflection. His work bridges digital technology and urban spaces, exploring how interactive installations and place-oriented frameworks can enhance public engagement and trust. Recent publications address geoprivacy challenges, urban digital infrastructure, and frameworks for placemaking in public spaces. Kao collaborates with the QUT Design Lab and engages in interdisciplinary research at the intersection of technology, ethics, and urban design.

• Service-Oriented Computing
• Robotic Process Automation
• Crowdsourcing
• +3 more

Professor Renuka Sindhgatta Rajan is affiliated with Queensland University of Technology (QUT) under the School of Information Systems . She is a leading academic in service-oriented computing, robotic process automation, and business process management. Her research focuses on: Interpretable AI for predictive process analytics Crowdsourcing dynamics and task allocation Intelligent tutoring systems and educational technology Context-aware resource allocation in service systems Human-AI interaction in business processes Recent publications span 2021–2018, covering robotic process automation architectures, crowdsourcing analysis, and AI-driven educational tools. Her work appears in top-tier venues like Decision Support Systems , Communications of the ACM , and IEEE Access .

• Environmental Microbiomes
• Restoration Ecology
• Soil Biodiversity
• +12 more

Craig Liddicoat is a Research Fellow in the Department of Biological Sciences at Flinders University , affiliated with the College of Science and Engineering . He conducts interdisciplinary research at the intersection of environmental microbiomes, restoration ecology, and human health, with a focus on DNA-based environmental surveys. He is a member of Dr. Martin Breed’s research lab and contributes to the 'People, Cities & Nature' program in Aotearoa New Zealand. His educational background includes: PhD in Bioscience (Biodiversity, Environmental Microbiomes and Human Health), University of Adelaide (awarded 2019) Bachelor of Environmental Science Bachelor of Engineering (Mechanical, First Class Honours) Liddicoat's research centers on understanding how soil microbial communities influence ecosystem and human health, particularly in the context of post-mining restoration and urban greening. He applies genomics and digital soil mapping techniques to assess microbiome health and inform restoration strategies. His work supports several UN Sustainable Development Goals, including those related to health, sustainable cities, and life on land. His recent publications (2024–2025) emphasize the role of soil microbiota in ecosystem restoration, microbial community assembly in plant systems, bioenergetic profiling of microbiomes, and predictive modeling of native flora distributions. These works span journals such as Biological Reviews , Science of The Total Environment , and Ecology and Evolution , indicating a strong trend toward integrative, solution-oriented environmental science. His scientific awards include: Bradshaw Medal (2023) University Doctoral Research Medal, University of Adelaide (2019) School of Biological Sciences Postgraduate Academic Achievement Award, University of Adelaide (2019) Liddicoat has extensive experience in natural resource management and has contributed to national digital soil assessment initiatives through TERN and the Australian Collaborative Land Evaluation Program. Though no formal students are listed, he collaborates widely across disciplines, including public health and data science. He also holds an adjunct position as Senior Fellow in the School of Public Health at the University of Adelaide. His research is supported by robust publication output and external recognition, indicating active grant engagement and collaborative leadership. He is a key contributor to research networks focused on environmental health, microbial ecology, and sustainable land use, operating within interdisciplinary teams at Flinders University and beyond.

• Consumer Behavior
• Services Marketing
• New Technology Use
• +3 more

Dewi Tojib is an Associate Professor of Marketing at Monash Business School, Monash University (Australia), affiliated with the Victorian Heart Institute (VHI). She specializes in services marketing, focusing on consumer responses to service failures, technology adoption in services, and omni-channel experiences. Her research has been published in top journals like the Journal of Service Management and European Journal of Marketing. Education: PhD in Marketing from Monash University. Teaching roles include courses like Buyer Behaviour (MKF2111), Advanced Business Research Method (MKF5430), and Principles of Marketing (MKC1200). She has received teaching excellence awards from Monash Business School. Research Projects: Primary Investigator: 'Is matching Destination Image with Destination Society Stereotype influential for traveller attitudes? (2017-2018)' Co-Investigator: 'Early Intervention Framework for At-Risk Students (2022-2024)' Awards: Dean’s Teaching Excellence Award (2019) Best Paper in Psychology & Marketing Track (Ineka Conference 2019) AxcessCapon Teaching Innovation Competition Finalist (2019) Research interests span service robotics impact on customers and co-workers, consumer coping mechanisms for service failures, and technology integration in multi-channel retail. She serves on the editorial board of the Journal of Organizational and End User Computing and actively contributes to ANZMAC.

• Artificial Intelligence for Software Engineering
• Software Engineering Analytics
• Process Analytics
• +3 more

Hoa Khanh Dam is a Professor in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Director of the Decision System Lab and holds leadership roles including Deputy Head of School (Research) and Head of Postgraduate Studies. His research focuses on integrating Artificial Intelligence with Software Engineering to enhance software quality, cybersecurity, and productivity. Key areas include AI-driven solutions for project management, autonomous systems resilience, and privacy engineering. He actively supervises PhD and MPhil students exploring AI applications in software development and quantum computing. Recent funding includes a project on 'Monitoring and Safeguarding Deep Reinforcement Learning Systems.' Research interests span AI for software engineering, process analytics, service-oriented architectures, and cybersecurity resilience. His work addresses challenges such as adversarial machine learning, explainable vulnerability prediction, and GDPR-compliant privacy policies. The Decision System Lab under his direction develops AI tools for decision-making in complex environments, including adversarial search strategies and normative multi-agent systems. Teaching and supervision include advanced topics like AI-driven chatbots for university systems, quantum code generation, and CRM application development. His publications emphasize practical AI applications in software lifecycle management, including defect prediction, agile iteration planning, and robotic process automation optimization.

Sajib MistryView profile

Senior Lecturer

• Secure Machine Learning
• Cloud/Edge Computing
• IoT
• +6 more

Dr. Sajib Mistry is a Senior Lecturer and Director of Research at Curtin University’s School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. He holds positions as Associate Director at Curtin’s High-Performance Intelligent Systems (HPIS) lab and Vice Chair of the IEEE WA Section. His research focuses on secure machine learning, edge/cloud computing, IoT, and distributed systems, with specialties in economic models for Infrastructure-as-a-Service (IaaS) composition and autonomous systems. Education: PhD in Computer Science (RMIT University), Postdoctoral Research Fellowship (University of Sydney). Research Interests : Service computing, cloud/edge computing, IoT, AR/VR, machine learning, distributed systems, software engineering, and big data analysis. His work emphasizes practical applications in defense, healthcare, and smart infrastructure. Grants (selected): Over $1.3M in funding from the Department of Defence, Australian Academy of Science, and WA government programs. Projects include combat system architectures, microservices management for legacy systems, and geo-spatial transfer learning for misinformation detection. 2023-2025: Combat System Architecture (RECSA), $1.5M 2022-2024: Micro-Services Management Platform, $418K Awards : Best Paper Award (ICSOC 2016), Distinguished Early Career Researcher nominee (2022). Labs/Teams : Leads research at Curtin HPIS, collaborating on edge analytics, WebAR platforms, and autonomous vehicle coordination. Active in IEEE and ACM committees, including roles as Publication Chair (ICSOC 2020) and Program Committee member for multiple conferences.

Mahbuba AfrinView profile

Lecturer

• Machine Learning
• Edge Intelligence
• Networked Robotics
• +2 more

Dr. Mahbuba Afrin is a Lecturer at Curtin University's School of Elec Eng, Comp and Math Sci (EECMS), with affiliations to the Faculty of Science and Engineering. She holds a Ph.D. from Swinburne University of Technology, an M.S. and B.S. in Computer Science and Engineering from University of Dhaka. Her research specializes in Internet of Things-enabled Cyber-Physical Systems, Networked Robotics, and development of efficient learning models for intelligent systems. Research focuses include resource allocation optimization, autonomous network management, and edge intelligence applications in agricultural technology, fraud detection, and livestock management. Current projects explore UAV-based solutions for bushfire detection and real-time robotic task allocation using deep reinforcement learning. Afrin has secured multiple grants including the Strong and Resilient Communities Grant (AUD $360,000), Innovation Challenge for Generative AI (AUD $50,000), and three Pawsey Supercomputing grants. Her 15 most recent publications (2018-2025) demonstrate consistent focus on machine learning applications in networked systems, spanning UAV coordination, blockchain security, cloud robotics, and agricultural technology. Awards include the 2024 WiTWA Tech Rising Star Award in STEM Academia, People's Choice Award at Pawsey Supercomputing Project Showcase (2022-23), and Vice-Chancellor's Postdoctoral Fellowship (2021). She teaches courses including Data Structures and Algorithms, Fundamentals of Programming, and Computer Science projects.

Silvia TavaresView profile

Senior Lecturer

• Urban Microclimate Design
• Bioclimatic Urbanism
• Urban Heat Islands
• +3 more

Dr. Silvia Tavares is a Senior Lecturer in Urban Design and Town Planning at the University of the Sunshine Coast's School of Law and Society. An architect and urbanist registered in Brazil, she founded and co-leads UniSC's Bioclimatic and Sociotechnical Cities Lab (BASC Lab). Her research focuses on improving urban climates through design interventions addressing thermal comfort, green infrastructure, public health, and climate change adaptation. Her research investigates urban microclimate modelling, bioclimatic urbanism, and planning policies for improved microclimates. Current projects examine urban heat mitigation strategies through green infrastructure optimization and climate-responsive design. Her work integrates sociotechnical approaches to create healthier urban environments in tropical climates. Analysis of her publications reveals strong focus on urban climate adaptation, with recurring themes in heat mitigation strategies, green infrastructure optimization, community engagement methodologies, and health-oriented urban design. Her work consistently bridges climate science with practical urban planning applications. Awards and Honors: Microclimate Design Research Global Network Faculty Fellow, Texas A&M (2023) UN-Habitat World Urban Campaign Urban Thinkers Campus (2018) PIA Queensland Award for Planning Excellence (2018) JCU TropEco Partnerships and Engagement Award (2018) Fulbright Specialist Program Host Institution (2018) She currently advises three PhD students researching bioclimatic urban planning, optimized greenery strategies, and inclusive design frameworks. Her research has secured grants from multiple Australian councils including Noosa Shire Council, Sunshine Coast Council, and Townsville City Council. Through the BASC Lab, Dr. Tavares leads interdisciplinary research teams investigating urban climate solutions. The lab focuses on knowledge transfer between climate science and planning practice, developing evidence-based approaches for climate-resilient cities.