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Paul JamesView profile

Adjunct Professor

• Globalization
• Cultural Diversity
• Social Theory
• +5 more

Paul James serves as Adjunct Professor at the Institute for Culture and Society, Western Sydney University, where he specializes in Globalization and Cultural Diversity. With a PhD from the University of Melbourne, he has established himself as a leading scholar in globalization studies and social theory. PhD, University of Melbourne James's research focuses on the complex interplay between globalization, cultural formations, and social change. His work explores ontological security in unsettled times, examining how individuals and communities navigate global crises through cultural frameworks. He investigates the intersections of climate change, security, and human condition, with particular attention to Australia's role in global systems. His scholarship bridges theoretical rigor with practical applications in urban sustainability and community development. His recent publications reveal a shift toward examining security challenges in the Anthropocene, algorithmic governance in social services, and the ethical dimensions of technological advancement. James analyzes how globalization manifests in bodily experiences through biotechnology and reproductive politics, while maintaining focus on crisis narratives and their political implications. Director of United Nations Global Compact Cities Programme (2007-2014) Advisor to Berlin Senate Chancellery Advisor to Canadian G40 process Advisor to East Timor Truth Commission Advisor to Papua New Guinea Minister for Community Development James leads significant research initiatives including the Australian Research Council-funded Extinction Imaginaries project and Enabling Disability: Autonomous Technologies & CaLD persons with disability. His collaborative work spans government agencies, international organizations, and community groups, focusing on practical applications of theoretical frameworks to address contemporary societal challenges. He maintains strong connections with cultural institutions through projects like Cultural Infrastructure 2039 and the Sustainable Cities Collaboratory.

Shahab AbdullaView profile

Associate Professor

• Artificial Intelligence
• Bioinformatics
• Control Systems
• +9 more

Dr. Shahab Abdulla is an Associate Professor at the University of Southern Queensland (UniSQ), affiliated with UniSQ College. His interdisciplinary research focuses on Artificial Intelligence, Bioinformatics, Control Systems, and Signal Processing. He holds a PhD from USQ and has over 25 publications in Q1 journals, primarily in Computer Science and Engineering domains. He leads the Advanced Data Analytics Modelling Research Simulation Group and supervises numerous PhD/Master’s students. Education: BSc in Mathematics from University of Technology (Baghdad, 1992) MSc in Mathematics from University of Technology (Baghdad, 1996) PhD in Engineering from University of Southern Queensland (2013) Research Interests: Dr. Abdulla specializes in AI models for healthcare, energy, and biomedical applications. His work includes deep learning, neural networks, and signal processing techniques. He collaborates globally with researchers in the Middle East, Europe, and Asia, delivering over 30 seminars. His research has been cited over 200 times in the last three years. Grants & Awards: While specific awards are not listed, his leadership has been recognized through institutional and professional acknowledgments. He has secured grants for projects like AI-driven coastal erosion modeling and quantum-resistant cryptography. Supervision: Currently supervising 5 PhD/Master’s students and has examined numerous theses. His supervision spans topics like AI in healthcare, cybersecurity, and sustainable agriculture. Labs & Teams: Leads the Advanced Data Analytics Modelling Research Group, focusing on interdisciplinary AI applications. Collaborates with industry partners on projects like smart solar trackers and flood risk prediction systems.

Habib AlehosseinView profile

Senior Lecturer

• Mining Engineering
• Rock Mechanics
• Cavitation Technology
• +2 more

Habib Alehossein is a Senior Lecturer in Mining Engineering at the University of Southern Queensland's School of Engineering. His research spans mining engineering, rock mechanics, cavitation technology, and geotechnical stability. Supervised students include Sahar Ardehali and other graduate researchers in soil stability and mining vehicle safety frameworks. Research focuses on rock cutting mechanics, backfill grouting for subsidence prevention, ultrasonic cavitation, and advanced material testing methodologies. Recent publications emphasize computational modeling of rock masses and optimization of mining productivity and safety. Article analysis shows consistent themes in geomechanical modeling, experimental validation of material properties, and mining safety innovations. Technical contributions include modified testing procedures for brittle materials and theoretical advances in rock fragmentation. No awards or lab affiliations are documented.

• Supply Chain Management
• Logistics Optimization
• Sustainability
• +3 more

Mahla Babagolzadeh is a Lecturer (Casual Employment) at the University of Southern Queensland's School of Business. Her research focuses on sustainable supply chain management, logistics optimization, and operations research, particularly addressing challenges in perishable goods distribution, carbon tax policy impacts, and regional development. Education: Bachelor of Industrial Engineering (BIndEng) from Sadjad University of Technology Master of Science (MSc) from Ferdowsi University of Mashhad Doctor of Philosophy (PhD) from the University of Southern Queensland Research Interests: Dr. Babagolzadeh explores sustainable logistics systems, cold chain management under uncertainty, and innovative supply chain models for perishable products. Her work integrates environmental economics with operational strategies, emphasizing carbon tax regulation and government subsidy frameworks to enhance regional economic resilience. Publications Trends: Her recent articles (2016–2024) highlight contributions to multimodal transportation networks, vehicle routing optimization, and disaster relief logistics. She frequently employs hybrid algorithms and stochastic modeling to address real-world complexities in supply chain planning and reliability estimation. Advising & Grants: No formal advisees or grant details are listed in the provided data. Labs/Teams: No specific labs or collaborative teams are mentioned in the profile.

Jonathan GreenView profile

Associate Professor

• Higher Education
• Language and Literacies
• English for Academic Purposes
• +3 more

Jonathan Green is an Associate Professor and Deputy Head of School (Education) at UniSQ College (Pathways), University of Southern Queensland. He holds qualifications including a PhD from USQ and has over 15 years of academic experience spanning Australia and Thailand. Bachelor of Arts (Witwatersrand) Certificate in Advanced Graduate Studies (New England) Master of Education (USQ) Doctor of Philosophy (USQ) His research focuses on higher education access, language pedagogy, and cross-cultural education. Key areas include academic literacy development, transfer of learning in Thai education systems, and policy compliance in TQM frameworks. His work bridges educational psychology with practical applications like EEG signal analysis for medical diagnostics, showcasing interdisciplinary collaboration. He has contributed to pathway programs at regional universities and authored over two dozen scholarly articles since 2008. Professional memberships include the National Association of Enabling Educators of Australia (Executive Committee) and Senior Fellow of the Higher Education Academy.

Justin EllisView profile

Senior Lecturer

• Digital Criminology
• Police Accountability
• LGBTQ+ Rights
• +7 more

Dr Justin Ellis is a Senior Lecturer in Criminology at the University of Newcastle, affiliated with the School of Law and Justice. His research focuses on digital criminology, police accountability, LGBTQ+ rights, and the impact of technology on justice systems. Ellis holds a PhD, Masters, and Bachelor of Arts from the University of Sydney. His work explores how digital media scrutiny influences police legitimacy, particularly through cases like the 2013 Sydney Gay and Lesbian Mardi Gras incident. He has published extensively in journals such as Current Issues in Criminal Justice and Crime, Media, Culture , and authored monographs like Policing Legitimacy (2021) and Representation, Resistance and the Digiqueer (2023). Ellis has secured over $215,000 in grants, including projects on LGBTQ+ safety and migrant worker exploitation. His research bridges academia and public policy, addressing algorithmic discrimination, hate crime, and social cohesion. Ellis teaches courses on victimology, crime and power, and media criminology, emphasizing innovative pedagogy. He actively engages with media and public discourse through platforms like The Conversation , discussing topics such as drag queen storytime controversies and anti-LGBTQ+ legislation. His interdisciplinary approach combines criminology with communication studies, law, and technology to advocate for marginalized communities.

Jon DrummondView profile

Associate Professor

• Music Technology
• Data Sonification
• Interactive Electroacoustics
• +5 more

Associate Professor Jon Drummond is an academic, composer, and sound artist at the University of Newcastle's School of Creative Industries. His work bridges music, computing, and environmental science through sonification and data visualization. He holds a PhD in interactive electro-acoustics and has led projects like 'Oratorio for a Million Souls' (environmental bee conservation) and the Bundanon mineral analysis sound installation. Current research includes using BCI devices for stress relief through sound. He has supervised 12+ students and secured over $1.8M in grants, including the ARC Research Hub for Connected Sensors for Health. Education : Doctor of Philosophy, University of Western Sydney Bachelor of Music, Sydney Conservatorium Master of Science (Honours), Macquarie University Research Interests : Focuses on sonification, interactive electroacoustics, robotics in music, and environmental sustainability. Projects combine art and science to make data accessible. Recent collaborations include stress measurement via biofeedback systems and playable city design for urban social innovation. Grants & Awards : Lead on $250K ARC Industrial Transformation Research Hub (2022–2026) $1M Smart City Innovation Challenge (2023) Labs/Teams : Active in transdisciplinary networks like TRAIT (Art & Interface Technology) and collaborations with Hunter Medical Research Institute.

Frits de NijsView profile

Research Fellow

• Artificial Intelligence
• Renewable Energy Systems
• Reinforcement Learning
• +3 more

Frits de Nijs is a Research Fellow in the Department of Data Science & AI at Monash University. His work focuses on advancing artificial intelligence techniques for energy systems optimization, multi-agent decision-making, and sustainable infrastructure. He has contributed to projects such as the Human-in-the-loop Microgrid Project and RACE for 2030 CRC, addressing challenges in renewable energy integration and smart grid management. Key research areas include reinforcement learning applications for energy curtailment, HVAC control systems, and resource-constrained multi-agent planning. His projects often bridge AI methodologies with real-world energy challenges, aiming to enhance grid reliability, carbon efficiency, and fair resource allocation. Notable collaborations involve researchers in machine learning, sustainable energy, and building automation. He has actively participated in 6 major research projects since 2020, including initiatives on AI-ready buildings and probabilistic multi-agent learning environments. His publications span conferences like AAAI, NeurIPS, and IEEE Power & Energy Society events, emphasizing peer-reviewed contributions to energy-AI intersections.

Joel MillerView profile

Associate Professor

• Infectious Diseases
• Network Theory
• Stochastic Analysis and Modelling
• +7 more

Joel Miller is an Associate Professor in Mathematics & Statistics at La Trobe University, School of Computing Engineering and Mathematical Sciences. His research focuses on infectious disease modelling, network theory, and ethical considerations in public health policy. He has held academic positions at Monash University, Penn State University, and the University of British Columbia Centre for Disease Control. Miller earned his PhD from the University of Cambridge and has contributed to significant projects, including the Australian Centre for AI in Medical Innovation and federal studies on pandemic response. His teaching includes courses on Vector Calculus, Infectious Disease Modelling, and Network Epidemiology. Notable awards include the 2021 La Trobe honourable mention for research impact and the RAPIDD Postdoctoral Fellowship. Education: PhD (University of Cambridge), MMath (University of Cambridge), BS (Harvard Mudd College). Research interests span epidemic dynamics, network structures, stochastic simulation algorithms, and ethical frameworks in computational modelling. He has led grants including a 2020 federally-funded study on pandemic testing capacity and contributed to the National COVID plan for Remote/Indigenous communities. Scientific Awards: Larkins Fellowship, RAPIDD Postdoctoral Fellowship, and multiple fellowships. His work has been featured in journals like PLOS Computational Biology and Science Advances. Teaching and Advising: Supervised numerous PhD/Masters students and developed courses like Dynamics of Spreading Processes on Networks. His mentorship includes projects on hepatitis C epidemiology, hypergraph contagion, and AI-driven network structure analysis. Professional Activities: Editorial roles in journals like PNAS and Science Advances, and media collaborations with outlets like Reuters and the New York Times.

Onkar JadhavView profile

Research Fellow

• Machine Learning
• Computational Science
• Applied Mathematics
• +5 more

Onkar Jadhav is a Research Fellow at the University of Western Australia's School of Earth and Oceans, specializing in developing machine learning frameworks for oceanography and computational science. His work focuses on statistical downscaling techniques for ocean temperature predictions and reduced-order modeling for financial risk analysis. Previously, he was a postdoctoral researcher at the University of Luxembourg, where he applied machine learning to wind engineering and computational fluid dynamics. Education: He holds a Doctorate in Applied Mathematics from the Technical University of Berlin (2018–2022), with a thesis on physics-assisted machine learning for high-dimensional partial differential equations. His academic background bridges mathematics, engineering, and computational science. Research Interests: Jadhav’s expertise spans machine learning, computational science, and applied mathematics, with applications in oceanography, wind engineering, and financial risk analysis. He emphasizes interdisciplinary approaches to solve complex, high-dimensional problems. Publications: His research includes advancements in model order reduction for parametric systems in finance, wind load assessments using machine learning, and thermoelectric generator design for biomedical implants. Labs/Teams: Affiliated with the Oceans Graduate School and previously with the University of Luxembourg’s wind engineering team.

• Biomedical Engineering
• Medical Imaging
• Optical Coherence Tomography
• +3 more

Andrea Curatolo is an Adjunct Research Fellow at the School of Engineering, University of Western Australia, specializing in Electrical, Electronic and Computer Engineering. He holds a PhD from the same university, focusing on improving optical coherence tomography (OCT) and elastography through optical beam shaping and simulations. His research emphasizes biomedical applications, particularly in ophthalmology and cancer diagnostics, contributing to UN Sustainable Development Goals in health and innovation. Key areas include corneal biomechanics, retinal imaging, and telehealth technologies like smartphone-based optical palpation for skin and breast tissue analysis. Collaborations span global institutions, advancing non-invasive diagnostic methods. Education: PhD in Optical Imaging Technologies (UWA, 2017); BSc and MSc from Polytechnic of Milan. Research interests integrate OCT, elastography, and machine learning to address challenges in ophthalmic surgery, cancer margin assessment, and telemedicine. His work bridges engineering and clinical needs, with over 46 publications and 1503 citations, reflecting contributions to high-resolution imaging and biomechanical analysis. Recent articles highlight advancements in spatio-temporal OCT (STOC-T) for retinal hemodynamics, chirped flicker optoretinography, and cross-meridian air-puff OCT for keratoconus detection. Innovations in low-cost imaging systems and robotic tool tracking aim to democratize medical diagnostics. His lab develops handheld elastography probes and smartphone-integrated palpation tools, advancing point-of-care solutions. Awards: While no specific honors are listed, his high citation count and h-index (21) underscore peer recognition. Supervised work includes mentoring students on biomechanical and imaging projects.

Krishna Manaswi DigumartiView profile

Lecturer

• Soft Robotics
• Healthcare Robotics
• Medical Robotics
• +7 more

Dr. Krishna Manaswi Digumarti is a Lecturer in Robotics at the School of Electrical Engineering and Robotics, QUT, leading the QUT Centre for Robotics. He holds a PhD in Robotics and Autonomous Systems from the University of Bristol (2019), an M.Sc. in Robotics, Systems, and Controls from ETH Zurich (2014), and a B.Tech. in Mechanical Engineering from IIT Hyderabad (2012). His research focuses on soft robotics, including shape morphing, variable stiffness mechanisms, and bio-inspired designs with applications in healthcare, automation, and haptics. He has pioneered technologies such as electro-adhesive clutches, self-healing robotic materials, and sensory feedback systems for prosthetics. Dr. Digumarti's work has been featured on the BBC, Channel 4, and French media, and he has secured grants including the Advanced Queensland Industry Research Fellowship. He actively engages in STEM outreach, including workshops and collaborations with industry partners like Disney Research and EPFL.

Tegan CohenView profile

Research Fellow

• Regulation of Digital Platforms
• Artificial Intelligence Governance
• Privacy Law
• +3 more

Dr Tegan Cohen is a Research Fellow and Lecturer in the School of Law at Queensland University of Technology (QUT). Her research focuses on regulating digital platforms and artificial intelligence, privacy law, and the intersection of law with democracy and electoral politics. She holds a PhD from QUT, a Graduate Diploma in Legal Practice from Griffith University, and dual honours degrees in Law and Arts (International Relations/English Literature) from the Australian National University. Prior to academia, Tegan worked in the federal public service and practiced law at top-tier firms in Sydney and London, specializing in technology transactions and data privacy. She contributes to national policy debates through submissions to parliamentary committees and government inquiries, addressing issues like AI governance, housing tech regulation, and electoral integrity. Her research interests include the democratic implications of privacy in data-driven political campaigns, the ethical use of AI in housing technology, and the evolving legal frameworks around digital privacy. Tegan has taught courses on intellectual property, data ethics, and regulating internet platforms. She is affiliated with QUT’s ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) and the DMRC GenAI Lab. Key areas of focus include: Regulatory challenges posed by AI and platform-mediated politics Privacy rights in electoral contexts and political data use Algorithmic fairness in housing and rental technologies Cross-jurisdictional approaches to AI governance

• Medical Imaging Analysis
• Deep Learning
• Artificial Intelligence
• +5 more

Dr. Laith Alzubaidi is a postdoctoral researcher at the School of Mechanical, Medical and Process Engineering , Queensland University of Technology (QUT) , Australia. He earned his Ph.D. in 2022 in medical imaging analysis with deep learning from QUT and a master’s degree in computer science from the University of Missouri (2016), USA. His research interests span medical imaging analysis , deep learning , artificial intelligence , and computational mechanics . He has contributed to advancements in bone fracture detection , skin cancer classification , IoT security frameworks , and physics-informed neural networks , with a focus on data fusion , adversarial attack detection , and real-time diagnostic systems . Dr. Alzubaidi has published over 53 refereed papers, garnered more than 3,700 citations, and led two special issues in reputed journals. His work involves global collaborations and grants for deep learning in medical applications . He reviews for 53+ journals, including IEEE Transactions on Medical Imaging and Information Fusion . Scientific Awards : Scholarship during master’s degree (University of Missouri) QUT scholarship for Ph.D. His recent publications highlight trends in AI-driven medical imaging , secure IoT networks , and physics-informed computational models . He has also explored trustworthy AI , reinforcement learning in healthcare , and explainable machine learning frameworks .

Zahra GharineiatView profile

Associate Professor

• UAV Applications
• LiDAR and Feature Extraction
• Digital Twins
• +5 more

Associate Professor Zahra Gharineiat is a faculty member at the University of Southern Queensland's School of Surveying and Built Environment, specializing in Surveying and Positioning. She holds a PhD in Surveying and has over a decade of experience in academia and industry. Zahra serves as Associate Head of School (Research) and leads research in UAV applications, LiDAR, AI-enabled monitoring, and spatial data analytics. She has secured over $6 million in research funding and founded the nationally recognized 'Drones for STEM' initiative promoting STEM education through drone learning. Education: Bachelor of Surveying (BSurv) from Tabriz University Master of Engineering Management (MEngMgt) from University of Melbourne PhD in Surveying from University of Newcastle Research Interests: Unmanned Aerial Vehicles (UAVs) and Remote Sensing LIDAR and Feature Extraction Digital Twins and Spatial Data Analysis Machine Learning Applications in Geospatial Data Coastal Monitoring and Sea Level Analysis Satellite Altimetry and Geodesy Her work bridges geomatic engineering with environmental and civil applications, emphasizing innovation in surveying technologies. Awards & Recognition: Multiple awards for research, teaching, and innovation (specific names unspecified) Active member of international geospatial organizations including the International Federation of Surveyors (FIG) and IEEE Geoscience Society Grants & Collaboration: Secured over $6M in research funding Key roles in interdisciplinary projects with the Centre for Future Materials and Institute for Advanced Engineering and Space Sciences Labs & Initiatives: Founder of the 'Drones for STEM' education program Lead researcher in UAV-based monitoring and LiDAR applications