Find Academic Supervisors

• Cyber Security
• Software Engineering
• Cloud Computing
• +4 more

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.

• Design Thinking
• Human-Centered Design
• 3D Printing Applications
• +3 more

Natalie Haskell is a design researcher at Queensland University of Technology , affiliated with the School of Design under the Faculty of Creative Industries, Education & Social Justice. Her work bridges design thinking, digital fabrication, and healthcare innovation. Her research explores human-centered design principles in medical contexts, focusing on technologies like 3D printing and digital prototyping to address regional healthcare challenges and improve patient outcomes. She contributes to interdisciplinary projects integrating advanced manufacturing and healthcare systems . Recent publications highlight collaborations in orthotic design , neurosurgical training models , and technology-enhanced aged care . Themes across her work include digital innovation , sociocultural sustainability , and responsive architectural systems . While no formal awards are documented in the provided text, Haskell's research has shaped discussions on Health 4.0 and design thinking in clinical settings. She has co-authored with experts in biomedical engineering and public health , though specific student supervision details are not listed here.

• Business Process Management
• Process Modeling
• Enterprise Architecture
• +3 more

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.

• Power System Stability
• Renewable Energy Integration
• Wind Farm Planning
• +4 more

Dr. Yuchen Zhang is a Lecturer and ARC DECRA Fellow at the School of Electrical Engineering & Robotics, QUT. He holds a PhD in Electrical Engineering from UNSW (2018), alongside Bachelor degrees in Engineering and Commerce. His research focuses on power system stability, renewable energy integration, wind farm planning, smart grid technologies, and AI applications in power engineering. His work bridges interdisciplinary approaches in energy systems and data-driven methodologies. Education: Bachelor of Engineering (2013) Bachelor of Commerce (2013) PhD in Electrical Engineering (2018), UNSW Research Interests: Power system stability assessment and control, grid integration of renewables, wind farm planning, smart grid technologies, smart city infrastructure, and AI-driven system development. Awards: 2020 Best Paper Award for IET Smart Cities for work on smart campus frameworks. Grants & Projects: Leads the ARC-funded project 'Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions' (2024–present), focusing on enhancing power grid resilience through real-time monitoring and control strategies. Teaching: Coordinates courses on renewable energy systems and power systems management. Engages in industry collaborations across renewable energy, maritime services, and IEEE standards development. Future Work: Expanding research into electrified logistics integration, smart city energy systems, and AI-driven emergency control mechanisms for power grids.

• Environmental Robotics
• Robotic Vision
• Deep Learning
• +3 more

Dr. Dorian Tsai is a Research Fellow and Associate Investigator at the Queensland University of Technology (QUT) Centre for Robotics, affiliated with the School of Electrical Engineering & Robotics. His research focuses on environmental robotics, robotic vision, and deep learning applications for large-scale environmental challenges. He currently leads the Technology Development stream in the Reef Restoration and Adaptation Project (RRAP), developing robotic technologies for coral monitoring and endangered species tracking. Education: Bachelors in Engineering Science (University of Toronto), Masters in Space Science & Technology (Lulea Technical University), Robotics & Automation (Aalto University), and a PhD in Robotics from QUT. His doctoral work involved light field features for camera motion control, completed under supervisors Prof. Peter Corke, Dr. Donald Dansereau, and Dr. Thierry Peynot. Research emphasizes robotic solutions for marine conservation (e.g., Great Barrier Reef preservation), precision agriculture, and autonomous systems. His work combines machine learning, computer vision, and robotics engineering to address real-world environmental and industrial challenges. Prior to QUT, he worked at the Canadian Space Agency and completed thesis research at NASA's Jet Propulsion Lab on rover docking systems.

• Biomedical Engineering
• Cardiovascular Biomechanics
• Medical Imaging Techniques
• +3 more

Dr. Han Yu is a Research Associate at the School of Mech., Medical & Process Engineering, Faculty of Engineering, Queensland University of Technology (QUT). He earned his Ph.D. in Biomedical Engineering from QUT in 2022, focusing on cardiovascular biomechanics and surgical outcomes for Tetralogy of Fallot patients. His current research evaluates dementia and stroke risks in patients with Atrial Fibrillation using advanced imaging and computational techniques. Education: Ph.D. (Doctor of Engineering) from QUT. Research Interests: Cardiac biomechanics, medical imaging (4D-CTA, MRI), finite element modeling, and surgical simulation. His work addresses complex cardiovascular conditions such as Tetralogy of Fallot, intracranial aneurysms, and Atrial Fibrillation, with a focus on predictive modeling and non-invasive assessment methods. Publications highlight contributions to biomechanical analysis, medical imaging algorithms, and surgical strategy optimization. His work spans interdisciplinary collaborations in engineering, medicine, and computational science.

• Biosurveillance of communicable diseases
• Infectious disease informatics
• Genomic epidemiology
• +3 more

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

• Programming Languages
• Compiler Construction
• Parallel Computing
• +7 more

Wayne Kelly is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He has over 25 years of academic experience and serves as the Academic Lead for Teaching and Learning and Course Coordinator for the Bachelor of Information Technology degree. PhD in Computer Science, University of Maryland, College Park, 1996 BSc (Hons) in Computer Science, University of Queensland, 1989 His research expertise lies in Programming Languages, Compiler Construction, and Parallel Computing, with significant contributions to High Performance Computing, Big Data, and Bioinformatics. His work has led to collaborations with Microsoft Research and over $2 million in external funding. His recent publications reflect a strong trend in parallel and distributed systems, embedded computing, bioinformatics data analysis, and remote sensing. Key themes include optimization of computational systems, memory management, and scalable data processing. Wayne Kelly has made impactful contributions to both teaching and research, guiding numerous postgraduate students and leading curriculum development in information technology. Optimizing I/O cost and managing memory for bioinformatics A communication model for streaming applications on MPSoC Ruby.NET: a compiler for the Common Language Infrastructure He is actively engaged in real-world technology development, including a project with a vision-impaired student to improve public transportation accessibility, currently trialed by transport authorities in Australia and the US.

Flora SalimView profile

Professor

• Ubiquitous computing
• Machine learning
• Data science
• +6 more

Professor Flora Salim is a leading academic at the University of New South Wales (UNSW) Sydney, holding a full Professorship in the School of Computer Science and Engineering. She serves as Deputy Director (Engagement) of the UNSW AI Institute and contributes to multidisciplinary research at the intersection of ubiquitous computing, machine learning, and data science. Human-centred AI and ethical systems Spatio-temporal data modeling Applications for climate resilience and urban mobility Her research focuses on multimodal foundation models, continual learning, and responsible AI deployment in real-world environments. She explores: Time-series and sensor data analysis Wearable and environmental sensing AI for sustainable infrastructure Robustness and trustworthiness in models Recent publications highlight her work on: Transformer-based climate downscaling Cross-modal fairness in mobility Privacy-preserving spatio-temporal generation Patient similarity networks in healthcare She has received multiple competitive fellowships including: Humboldt Fellowship Bayer Fellowship Victoria Fellowship ARC Australian Postdoctoral Industry (APDI) Fellowship Additional accolades include: Women in AI Award Australia and New Zealand (2022) IBM Smarter Planet Industry Innovation Award As Chief Investigator in: ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) ARC Training Centre for Whole Life Design for Carbon Neutral Infrastructure She maintains active collaborations through: Associate position at ELLIS Alicante Visiting Professor roles at University of Kassel (2019-2020) and University of Cambridge (2019) Editorial board memberships in ACM TIST, IEEE Pervasive Computing, and Nature Scientific Data

Branislav HredzakView profile

Researcher

• Control and management of distributed renewable energy resources
• Reconfigurable and hybrid energy storage systems
• Advanced control systems for power electronic converters
• +4 more

Dr. Branislav Hredzak is a researcher at the Faculty of Engineering , University of New South Wales . His work focuses on power electronics, renewable energy systems, and advanced control strategies for energy storage and smart grids.

• Photovoltaics
• Solar Cells
• Machine Learning Applications in Energy
• +4 more

Professor Ziv Hameiri is a faculty member at the University of New South Wales (UNSW) in the School of Photovoltaic and Renewable Energy Engineering. He holds a PhD from UNSW (2011) and a BSc from Ben-Gurion University (2005). His research focuses on photovoltaic device characterization, machine learning applications in energy, and novel solar cell technologies like tandem cells and AgriPV systems. He leads the ACDC Research Group and has received awards such as the UNSW Vice-Chancellor’s Research Fellowship (2013) and ARC DECRA (2015). Education: PhD in Photovoltaic and Renewable Energy Engineering, UNSW (2011) BSc in Electrical and Computer Engineering, Ben-Gurion University (2005) Research Interests: Development of new characterization methods for photovoltaic devices Machine learning algorithms for PV applications Defect analysis in silicon and non-silicon devices Passivation techniques for solar cell surfaces AgriPV and betavoltaic device innovation Articles Trends: Recent work emphasizes AI-driven defect analysis, luminescence imaging, and tandem solar cell optimization. Over 140 journal articles and 250 conference papers highlight his contributions to photovoltaic science. Awards: Excellence Award in Industry Engagement (2023) Multiple HDR supervision awards (2021–2020) Scientist Medal (International Association of Advanced Materials, 2018) Advising & Grants: Supervised over 15 PhD/MSc students, including notable theses like Yoann Buratti’s work on machine learning for silicon cell characterization. Active in securing grants for PV innovation and industry partnerships. Labs/Teams: Leads the ACDC Research Group, focusing on transformative photovoltaic technologies. Collaborates with UNSW facilities like the Mark Wainwright Analytical Centre.

• Cybernetics
• Autonomous Systems
• SLAM (Simultaneous Localization and Mapping)
• +5 more

Mina Henein is a Lecturer at the School of Cybernetics, Australian National University (ANU), where he explores the ethical, legal, and societal implications of emerging technologies like autonomous systems and AI. His research focuses on SLAM (Simultaneous Localization and Mapping) in dynamic environments, graph-based methods, and optimization techniques. He holds a Ph.D. from ANU’s Robotic Vision Center and dual M.Sc. degrees in Advanced Robotics from Università degli Studi di Genova (Italy) and École Centrale de Nantes (France). Before academia, he worked in the FMCG sector and as a visiting researcher at the Italian Institute of Technology and ETH Zurich. His research interests span cybernetics, ethical design, and sustainability, with affiliations to ANU’s Institute for Climate, Energy & Disaster Solutions (ICEDS) in areas like sustainable transport, extreme events, and risk resilience. Mina’s work bridges technical innovation with societal challenges, emphasizing interdisciplinary collaboration and real-world applications. While no scientific awards are explicitly mentioned, his contributions to SLAM and autonomous systems have been published in top-tier journals and conferences. He actively engages with policy and outreach initiatives to translate technical research into actionable solutions for climate and disaster resilience.

Andrew RobinsonView profile

Professor

• Biosecurity Risk Analysis
• Statistical Modeling
• Forest Analytics
• +7 more

Andrew Robinson is a Professor at The University of Melbourne, holding dual appointments in the School of BioSciences and the School of Mathematics and Statistics. As Director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), he leads research on statistical and risk analysis for biosecurity threats, funded by Australian and New Zealand governments. His work bridges computational tools and natural resource management, with a focus on R programming and data-driven decision-making. Co-authored 4 influential books on R programming and biosecurity Developed icebreakeR, a popular R education resource Conducts workshops for scientists and policymakers Robinson's research spans biosecurity risk modeling, invasive species management, and statistical applications in forestry. His recent work emphasizes climate change impacts on agricultural yields, adaptive sampling strategies, and Indigenous leadership in biosecurity. He maintains active collaborations in data analytics and policy development. Selected Research Trends: Current projects focus on quantitative risk prioritization, climate change adaptation, and automated surveillance systems. Key subfields include computational biosecurity, stochastic modeling, and cross-jurisdictional policy frameworks. Robinson's laboratory, CEBRA, integrates multidisciplinary approaches to biosecurity challenges. His publications demonstrate expertise in statistical ecology, risk analytics, and policy simulation. He continues to develop R-based tools for practical applications in natural resources and biosecurity.

• Environmental Engineering
• Chemical Engineering
• Water Treatment Processes
• +9 more

Dr. Antoine Trzcinski is a Senior Lecturer at the School of Agriculture and Environmental Science, University of Southern Queensland. With a PhD from Imperial College London and degrees from UC Louvain, he specializes in environmental and chemical engineering, focusing on sustainable waste treatment technologies. Education: BChEng (UC Louvain, 1982) MChemEng (UC Louvain, 1982) PhD (Imperial College, 2009) His research spans membrane bioreactors, anaerobic digestion, wastewater treatment, and biorefinery processes. Key projects examine nanoparticle impacts on bioprocesses, PFAS removal technologies, and fungal fermentation for biofuel production. Recent publications highlight innovations in electrochemical wastewater treatment, hybrid reactor designs, and microplastics' environmental effects. He supervises PhD students in environmental engineering and biotechnology projects. Scientific Awards: Member, Institution of Chemical Engineers (IChemE) Trzcinski's work bridges advanced oxidation processes, artificial intelligence modeling, and sustainable waste management strategies, with active collaborations across chemical and environmental engineering disciplines.

• Artificial Intelligence
• Natural Language Processing
• Data Analytics
• +4 more

Professor Xiaohui Tao is a leading academic at the University of Southern Queensland (UniSQ) within the School of Mathematics, Physics and Computing. He serves as Computing Discipline Team Leader and Chair of the ICT Programs' Governance and Leadership Committee. With a PhD in Information Technology from Queensland University of Technology (2009), he has over 200 publications in top-tier journals and conferences like TKDE, AAAI, and SIGIR. His research spans Artificial Intelligence, Natural Language Processing, Machine Learning, Health Informatics, and Data Mining. He leads a prominent research group focused on real-world applications of innovative algorithms and systems. Recent articles include works on automatic summarization, brain computing, and machine unlearning His 2024 publications demonstrate leadership in Explainable AI, Recommender Systems, and Healthcare Applications Awarded the Australia Research Council Grant and Endeavour Research Fellowship, he actively contributes to academic governance as acting Head of School and editorial roles in journals like Elsevier's Natural Language Processing Journal. His mentorship has guided 10+ doctoral candidates to completion.