جستجوی استاد راهنمای دانشگاهی

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.

Alisa Andrasekمشاهده پروفایل

استاد

• Architecture
• Computational Design
• Generative Algorithms
• +۷ مورد دیگر

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 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.

Pierre Benckendorffمشاهده پروفایل

استاد

• Visitor Behavior
• Tourism Information Technologies
• Tourism Education and Training
• +۳ مورد دیگر

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 Marksمشاهده پروفایل

پژوهشگر ارشد

• Electric Machines and Drives
• Power Electronics
• Renewable Energy Systems
• +۲ مورد دیگر

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
• +۳ مورد دیگر

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 Cahalaneمشاهده پروفایل

مدرس ارشد

• Information Systems
• Digital Nomadism
• CIO Leadership
• +۶ مورد دیگر

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.

Rita Kay Hendersonمشاهده پروفایل

استاد

• Water Treatment Processes
• Water Quality Engineering
• Environmental Biotechnology
• +۷ مورد دیگر

Professor Rita Kay Henderson is a distinguished academic at the School of Chemical Engineering, University of New South Wales (UNSW) , serving as Deputy Dean (Societal Impact & Translation) at UNSW Engineering. Her expertise lies in water quality engineering, algal biotechnology, and environmental technologies. She leads the Algal and Organic Matter (AOM) Lab , collaborating closely with the Australian water industry to develop innovative solutions for water treatment and resource recovery. Education: PhD in Water Sciences, Cranfield University (2008) MSc in Water Pollution Control Technology, Cranfield University (2004) MChem in Environmental Chemistry, University of Edinburgh (2002) Research Interests: Design and optimization of separation processes for microalgae and organic matter. Development of monitoring protocols for water quality events using advanced characterization techniques. Resource recovery from wastewater and algae-based biotechnology. With over $7M AUD in research funding, including six ARC grants, her work emphasizes collaboration with industry partners like Melbourne Water and Sydney Water. She has authored >90 peer-reviewed articles and chairs key committees, including the UNSW Sustainable Development Goal (SDG) Steering Committee. Awards: AWA NSW Kamal Fernando Mentoring Award (2016) Finalist, Australia Museum 3M Eureka Prize (2015) AIPS NSW Young Tall Poppy Science Award (2012) Advising & Grants: Current and past supervision of over 20 PhD/Master’s students. Key grants include ARC Discovery DP200102195 and industry-funded projects. Her lab, the AOM Lab, focuses on four core themes: natural organic matter, nuisance algae, algae harvesting, and resource recovery. She also contributes to global conferences and editorial roles at Water Research and AWWA Water Science .

Sergio Rojasمشاهده پروفایل

مدرس ارشد

• Numerical Analysis
• Scientific Computing
• Mathematical Modeling
• +۴ مورد دیگر

Sergio Rojas is a Senior Lecturer in the Applied and Computational Mathematics section at Monash University's School of Mathematics. His expertise spans numerical analysis, scientific computing, and mathematical modeling, focusing on residual minimization-based methods for solving complex partial differential equations. He holds a PhD and MSc in Engineering Sciences from Pontificia Universidad Católica de Chile, a Master's in Mathematics from the University of Pavia, and a Bachelor's in Mathematics from Pontificia Universidad Católica de Valparaíso (PUCV). Education: PhD and MSc in Engineering Sciences, Pontificia Universidad Católica de Chile Master's in Mathematics, University of Pavia, Italy Bachelor's in Mathematics, PUCV, Chile Research Interests: Dr. Rojas develops advanced numerical methods including Finite Element, Discontinuous Galerkin, and Physics-Informed Neural Networks. His work emphasizes robust algorithms for complex PDEs, with applications in computational fluid dynamics, geophysics, and solid mechanics. Recent studies explore adaptive stabilization techniques and solver optimization for parallel architectures. Article Trends (2023-2025): Recent publications highlight robust neural network approaches for PDEs, adaptive finite element methods, and computational efficiency in parallel solvers. Key themes include residual minimization, stability analysis, and integration of machine learning in numerical simulations. Supervision: Accepts undergraduate, master’s, and PhD students in numerical analysis and scientific computing. Current PhD projects include variational physics-informed schemes and residual minimization methods. Labs/Teams: Collaborates on interdisciplinary projects involving computational mathematics and engineering applications, though specific lab affiliations are not detailed in the provided text.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۷ مورد دیگر

Dr. Alireza Moayedikia is a Lecturer in Information Systems at the School of Business, Law and Entrepreneurship, Swinburne University of Technology. His research focuses on Artificial Intelligence, Machine Learning, and Data Science, with expertise in social network analysis, natural language processing, and back-end software development. He has over ten years of professional experience in AI and ML, emphasizing data preparation for machine learning tasks. Research Interests: Dr. Moayedikia’s work spans optimization algorithms for crowdsourcing, microtask management, and feature selection. His recent contributions include advancements in matrix factorization, dynamic payment systems for microtask platforms, and community detection in attributed networks. His methodologies often integrate swarm intelligence (e.g., bee colony optimization) and probabilistic models. Publications: His 19 publications reflect a strong focus on AI-driven solutions, including contributions to data-driven healthcare systems and green logistics. His articles address challenges in sparse data handling, worker reliability estimation, and multi-criteria decision-making frameworks. Grants: He contributed to the SCOPE 3 research contract (2020–2021), developing prototypes for tracking Green House Gas emissions in last-mile delivery systems. Labs/Teams: Collaborates within interdisciplinary teams at Swinburne, focusing on applied AI and sustainable logistics solutions.

• Communication
• Cultural Studies
• Educational Technology
• +۳ مورد دیگر

Andrew Hutcheon is a Lecturer at the School of Arts and Humanities, Edith Cowan University, based at the Mount Lawley campus. He holds qualifications in Communication and Multimedia from Murdoch University and contributes to research in communication, cultural studies, and technology ethics. His work explores intersections between artificial intelligence, education, and societal impacts. Education: Bachelor of Communication (2011), Bachelor of Multimedia (2006), both from Murdoch University. Research focuses on corporate AI, educational technology, and ethical design frameworks. Recent publications address AI monopolies in cultural work, crises in Australian education, and critiques of electric vehicle narratives.

• Web Series
• Creative Careers
• Journalism and New Media
• +۲ مورد دیگر

Dr. Steinar Ellingsen is a Senior Lecturer at the School of Arts and Humanities , Edith Cowan University , specializing in web series, digital journalism, and media ethics. He coordinates Broadcast and Digital Journalism programs and serves as Chief Investigator for the ARC Linkage project Valuing Web Series . Doctor of Philosophy , La Trobe University (2014) Bachelor of Journalism , La Trobe University (2008) His research focuses on web series , creative industries , and digital media ethics . Recent work examines pandemic-era digital communication, content cancellation dynamics, and generative AI's impact on journalism. Steinar has co-authored 2024 research on AI-driven journalism trends and 2023 analyses of web series' cultural value, with earlier studies tracing online media evolution from 2012 to 2014. Scientific Awards SKUP nominee (2007) Outstanding Achievement in Production (LAWEBFEST x2, 2012-2013) Best Documentary (Austin WebFest & K WebFest, 2016) Vice-Chancellor's award for Supporting Student Employability (2015) DM Myers University Medal nominee (2007) He holds competitive research grants including the ARC Linkage Project (LP180100626) and ECU's Early-Mid Career Researcher Grant for AI's impact on journalism practices.

• Data Science
• Machine Learning
• Tensor Factorization
• +۵ مورد دیگر

Dr Thiru Balasubramaniam is a Research Fellow at Queensland University of Technology (QUT), working within the Faculty of Science, School of Computer Science. His expertise lies at the intersection of data science, machine learning, and real-world applications, with a specific focus on tensor factorization methods for managing multifaceted data from IoT and Web 3.0 applications. His educational background includes a PhD from Queensland University of Technology and a Bachelor of Engineering from Anna University. Prior to his doctoral studies, he worked as a Research Assistant at the Singapore University of Technology and Design - Massachusetts Institute of Technology (SUTD-MIT) International Design Centre, where he analyzed mobility data to personalize city environments for elderly citizens in Singapore. Dr Balasubramaniam's research interests span multiple areas of data science: Tensor and Matrix Factorization methods Pattern Mining and Text Mining applications Recommender Systems development IoT data processing Web 3.0 applications Real-time analytics for multifaceted data His publication record demonstrates consistent contributions to high-impact venues including IEEE TKDE, ACM TKDD, WWW, WISE, AusDM, and PRICAI. The trend in his recent work shows increasing application of tensor factorization techniques to diverse real-world problems including environmental monitoring, pandemic modeling, social media analysis, and smart grid technology. His research often involves interdisciplinary collaborations, particularly with Professor Richi Nayak at QUT. Scientific recognition includes: QUT-CDS first byte research funding worth 30,000 AUD Dr Balasubramaniam has been actively involved in teaching data analytics subjects at QUT since 2017, including Data Exploration and Mining, Data and Web Analytics, Data Mining Technology and Applications, and Web Computing. His teaching spans both undergraduate and postgraduate levels. His research has been supported through various collaborative grants and institutional funding mechanisms at QUT.

• Medical Physics
• Radiation Dosimetry
• Radiotherapy
• +۷ مورد دیگر

Asena Andre is a medical physicist and researcher affiliated with the School of Clinical Sciences at Queensland University of Technology (QUT), Australia. His work focuses on advanced dosimetry techniques in radiotherapy, particularly using gel dosimeters and optically stimulated luminescence dosimeters (OSLDs) for accurate dose distribution measurements in complex treatment scenarios. Institution: Queensland University of Technology School: School of Clinical Sciences Department: Department of Medical Physics Academic Rank: Researcher His research interests center on radiation dosimetry , radiotherapy treatment verification , and the impact of high-density materials such as implants and tissue expanders on dose delivery. He has extensively studied Fricke and PAGAT gel dosimeters, optical-CT imaging, and OSLD response characteristics in megavoltage beams. The 15 most recent publications reflect a strong trend in developing and validating 3D dosimetry methods for stereotactic, brachytherapy, and high-precision radiotherapy. Key themes include artefact reduction in imaging, diffusion control in gels, angular and field size dependence of detectors, and Monte Carlo simulations for small fields. These works span journals such as Physics in Medicine and Biology , Medical Physics , and Australasian Physical and Engineering Sciences in Medicine . Asena Andre completed his PhD at QUT in 2017 with a thesis titled Dosimetry in the vicinity of high-density materials in radiotherapy , which formed the foundation of his research. He has collaborated with prominent researchers including Jamie Trapp, Scott Crowe, Tanya Kairn, and Shaun Smith. PhD Thesis: Dosimetry in the vicinity of high-density materials in radiotherapy (2017, QUT) There are no listed scientific awards or grants in the provided text. Asena Andre has not been mentioned as supervising any students in the available records. He appears to be actively involved in clinical and experimental medical physics research, particularly in dose verification and detector characterization for modern radiotherapy techniques. His work contributes significantly to the quality assurance and accuracy of radiation therapy, especially in anatomically complex cases involving implants or tissue expanders. The research supports safer and more precise cancer treatments through improved dosimetric validation methods.