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James ScottView profile

Professor

• Radar warning receivers
• Nonlinear device modelling
• Computer-aided microwave measurement techniques
• +5 more

Professor James Scott is a faculty member in the School of Engineering at RMIT University. His research focuses on microwave engineering, nonlinear device modeling, radar systems, and sensor technologies. He has held academic positions since 1987, including Discipline Director of Communication Engineering since 2003. His industry experience includes roles at AWA Defence Industries and British Aerospace (Australia), specializing in microwave receiver design and smart antenna systems. Key research areas include radar warning receivers, high-efficiency power amplifiers, and microwave measurement techniques. Professor Scott has contributed to numerous peer-reviewed articles and holds an ORCID identifier (0000-0003-3200-6821). Current Role: Professor, School of Engineering, RMIT University Research Interests: Microwave circuits/devices, radar systems, sensor technologies Industry Collaborations: Defense electronics, satellite communication systems

• Architecture
• Landscape Architecture
• Urban Design
• +5 more

Dr. Katrina Simon is an Associate Professor at the School of AUD (Architecture and Urban Design) at RMIT University, based at City Campus, Australia. Her research focuses on architecture, landscape architecture, and urban design with an emphasis on spatial evolution, memorials, and climate-responsive design. She supervises research projects exploring multispecies cooperation, urban imaginaries, and landscape commoning. Her teaching interests include design thinking, cemetery design, and representation techniques. Her work bridges creative practice and critical theory, addressing themes like urban memory, postcolonial spatial dynamics, and generative design methodologies. Key research outputs include studies on Windhoek’s urban morphology, climate activism in design education, and algorithmic approaches to infrastructure planning.

Majid NazemView profile

Professor

• Geotechnical Engineering
• Computational Mechanics
• Finite Element Analysis
• +6 more

Professor Majid Nazem is a faculty member in the School of Engineering at RMIT University, specializing in Geotechnical Engineering. His research focuses on Computational Geomechanics, Finite Element Methods, Meshless Analysis, and Offshore Geomechanics. He has contributed to advancements in numerical modeling, soil-structure interaction, and dynamic soil behavior. Professor Nazem holds several notable awards, including the Manby Prize (2012) and the D.H. Trollope Medal (2006). His teaching expertise spans Geomechanics, Finite Element Analysis, and Engineering Mechanics. He actively supervises PhD and Master's students in areas like AI-driven geotechnical analysis and multi-phase media modeling. His work integrates machine learning with traditional geotechnical methods, addressing challenges in infrastructure maintenance and slope stability. Awards and Fellowships: Manby Prize by the Institution of Civil Engineers, UK (2012) Outstanding Reviewer Award by Elsevier (2012) Research Fellowship, The University of Newcastle, Australia (2009) The D.H. Trollope Medal by Australian Geomechanics Society (2006) Research Prize by Faculty of Engineering and Built Environment, The University of Newcastle (2005) Teaching and Supervision: Professor Nazem teaches courses in Geomechanics, Stress Analysis, and Engineering Computations. He supervises research projects focusing on computational geomechanics, meshless methods, and AI applications in geotechnical engineering. Recent projects include predicting soil behavior under dynamic conditions and optimizing tram track maintenance using machine learning. Research Trends: His recent articles emphasize machine learning integration in geotechnical analysis, dynamic seabed penetrators, and slope stability predictions. Key themes include surrogate modeling for tunnel stability, seismic collapse load analysis, and parameter identification using AI frameworks.

• Machine Learning
• Applied Computing
• Data Management and Data Science
• +1 more

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 ThangarajahView profile

Professor

• Artificial Intelligence
• Autonomous Systems
• Knowledge-based Reasoning
• +3 more

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.

• Platform Urbanism
• Digital Urban Design
• Urban AI
• +4 more

Dr. Sarah Barns holds a Vice Chancellor’s Senior Research Fellowship at RMIT University’s School of Global, Urban and Social Studies (GUSS). Her work focuses on digital urban ecosystems, platform civics, and climate vulnerability in cities. She co-directs ESEM Projects and founded STORYBOX.CO, Australia’s first public space media platform. Her research integrates creative practice with urban policy, emphasizing civic capabilities and multi-disciplinary storytelling. Education: PhD in Urban Sensory History and Interpretation from the University of Technology Sydney (UTS). Research Interests: Regenerative Design, Digital Futures, Urban AI, Platform Urbanism, Indigenous Knowledge Practices, Placemaking, and Digital Urban Design. Professional Activities: Trusted adviser to government/industry, contributor to Urban Studies Journal, and leader of over 30 creative works in sound design and digital storytelling. Current projects include a fellowship exploring platform civics in climate-vulnerable urban settings. Labs/Teams: Co-Director of ESEM Projects; affiliated with RMIT’s Centre for Urban Research.

Asha RaoView profile

Professor

• Cybersecurity
• Graph Theory
• Combinatorics
• +7 more

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 YuView profile

Professor

• Control Systems
• Complex Networks
• Cyber-Physical Systems
• +3 more

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.

Alisa AndrasekView profile

Professor

• Architecture
• Computational Design
• Generative Algorithms
• +7 more

Alisa Andrasek is a Professor at RMIT University's School of Architecture, Urban and Design (AUD). She leads research at the intersection of design, computational science, and exponential technologies, focusing on high-resolution architecture, robotic fabrication, and AI-driven design processes. Previously, she directed the award-winning Advanced Architectural Design program at UCL and co-founded Biothing, an experimental design lab, as well as AI Build, a robotic fabrication studio. Affiliations: RMIT University, AI Build, Biothing Research Focus: Generative algorithms, computational physics, robotic fabrication, and AI in architecture. Exhibitions: Featured at Centre Pompidou Paris, Venice Biennale, and Sydney Biennial. Her work explores 'data materialization,' creating intricate structures through algorithms and robotic processes. Projects include the Cloud Pergola (Venice Biennale), XenoCells , and MorphoCyte , which blend biological processes with computational design. She supervises research in topics like 'Integral Architectural Design Synthesis in the Metaverse' and 'Generative Practice Research.' Alisa advocates for architecture that resonates with ecological complexity through high-resolution microstructures and adaptive systems. Her teaching integrates cutting-edge technologies like machine learning and large data analytics into design pedagogy.

Estrid HeView profile

Senior Lecturer

• Natural Language Processing
• Data Mining
• Deep Learning
• +3 more

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
• +10 more

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.

Pierre BenckendorffView profile

Professor

• Visitor Behavior
• Tourism Information Technologies
• Tourism Education and Training
• +3 more

Professor Pierre Benckendorff is a prominent academic at The University of Queensland's School of Business, holding the role of Deputy Dean of the Graduate School. His expertise spans visitor behavior, tourism information technologies, and tourism education, with a focus on integrating technology-enhanced learning. He has led national teaching initiatives, securing over AUD 1 million in grants, and received a Carrick citation for excellence in student learning (2007). Benckendorff co-authored leading textbooks like Tourism Information Technology and co-edited the Handbook of Teaching and Learning in Tourism . He contributes to organizations such as the World Travel and Tourism Council and the BEST Education Network, advancing tourism education standards globally. His research interests include sustainable tourism, luxury tourism marketing, and the impact of digital technologies like AI and virtual influencers. He has published over 80 articles and serves as an editorial board member for major tourism journals. Beyond academia, Benckendorff has judged awards like the Queensland Tourism Awards and actively engages in industry collaborations, bridging research and practice.

Nathan MarksView profile

Research Fellow

• Electric Machines and Drives
• Power Electronics
• Renewable Energy Systems
• +2 more

Dr. Nathan Marks is a Postdoctoral Researcher at the School of Engineering , University of Newcastle, Australia. His career spans academic and defense-related research roles, including a 2016-2020 position as Electrical Research Engineer with Defence Science and Technology Group in Melbourne. Bachelor of Electrical Engineering (Honours 1, University Medal) - University of Newcastle, 2011 Doctor of Philosophy in Electrical Engineering - University of Newcastle, 2016 His research focuses on power electronics and renewable energy systems , particularly electric machines for maritime propulsion , multilevel converters , and real-time simulation . Key contributions include sensorless MPPT algorithms and stability analysis of PHIL systems . Recent publications (2024-2012) demonstrate expertise in electrical machine control , converter topologies , and power hardware-in-the-loop techniques. He teaches Power Electronics and Electric Machines courses while maintaining active IEEE memberships.

• Offsite Construction
• Building Information Modeling
• Interoperability
• +3 more

Robert Doe is a Lecturer in Architecture at the University of South Australia's UniSA Creative faculty. His research focuses on advancing offsite construction through improved interoperability standards, computational design integration, and modular prefabrication systems for the architecture, engineering, construction, and operations sector. Doe investigates how object-based standards and open modular formats can enhance information sharing across the construction ecosystem. His work compares interoperability frameworks between construction and other industries like oil and gas, identifying transferable solutions for digital transformation. Recent publications examine ecosystem-level approaches to data exchange and systematic methods for improving information flow in offsite construction. His computational design research develops tools facilitating the integration of prefabricated housing design with digital production workflows. This includes parametric optimization methods balancing multiple criteria like sustainability, cost-efficiency, and customization. Doe applies theoretical frameworks from spatial theory to computational design processes, examining how digital tools reshape architectural practice and production.

Michael CahalaneView profile

Senior Lecturer

• Information Systems
• Digital Nomadism
• CIO Leadership
• +6 more

Dr. Michael Cahalane is a Senior Lecturer at the School of Information Systems and Technology Management within the Business School at the University of New South Wales (UNSW). He holds a BSc and PhD in Information Systems from University College Cork, Ireland. His research focuses on digital nomadism, CIO leadership, artificial intelligence, virtual reality, gamification, and collaborative consumption. He actively contributes to understanding the intersection of technology and human behavior in modern work environments. Dr. Cahalane's recent work explores the socio-economic impacts of digital nomadism, evolving CIO competencies post-pandemic, and ethical implications of generative AI in immersive systems. His research employs mixed-methods approaches, including ethnographic studies and Delphi methodologies. His publications span topics from algorithm aversion in decision-making to the role of gamification in health behavior change. He has not disclosed awards or grants in the provided materials. Teaching and supervision activities are listed under his profile but specific details were not elaborated. Dr. Cahalane’s work bridges theoretical frameworks with real-world applications, emphasizing responsible technology leadership and societal impacts of emerging digital practices.