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Dylan Campbell is a Lecturer in Computing at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on computer vision, optimization, and robotics, particularly in 3D vision and deep learning applications. He has held prior roles as a Research Fellow at the University of Oxford’s Visual Geometry Group and ANU’s Australian Centre for Robotic Vision. Campbell holds a PhD from ANU (2018) and a BE in Mechatronic Engineering from UNSW (2012). Research interests include geometric sensor alignment, neural radiance fields, and differentiable optimization layers. He actively supervises students (7 PhD/DPhil, 3 MEng, 9 honours) and teaches advanced courses in computer vision and robotics. Notable awards include the Marr Prize Honourable Mention (2017) and the IEEE Australia Council Postgraduate Student Paper Competition (2018). He has organized workshops at ECCV and CVPR, served as a reviewer for top conferences like CVPR/ICCV/ECCV, and contributed to datasets like SEED4D and RefRef. His work emphasizes efficient training of neural networks and leveraging symmetries in data for long-range connections.

• Computer Vision
• Optimization
• Machine Learning
• +3 more

Professor Arcot Sowmya is a distinguished academic at the University of New South Wales, serving as Professor in the School of Computer Science and Engineering. With a strong background in both computer science and mathematics, she has established herself as a leading researcher in machine learning and computer vision applications, particularly in medical imaging and diagnostics. Dr. Sowmya earned her PhD in Computer Science from the Indian Institute of Technology, Bombay, along with an MTech in Computer Science, MSc in Mathematics, and BSc in Mathematics from the same institution. Her academic journey has positioned her at the intersection of theoretical computer science and practical medical applications. Her research interests span multiple domains with a primary focus on Machine Learning for Computer Vision . She has made significant contributions to learning object models, feature extraction, segmentation, and recognition techniques. Her work extends into medical image analysis, computer-aided diagnostics, high-resolution remote sensing, and biomedical informatics. More recently, she has applied similar techniques to social sciences domains, developing improved forecasting models for genocide and politicide. Her earlier work also includes contributions to real-time, concurrent, and embedded systems. Analyzing her recent publications reveals a strong trend toward medical applications of computer vision and deep learning. Her work spans from OCT-based glaucoma diagnosis to tumor segmentation, lung disease detection, and breast cancer prognosis. She has successfully bridged computer science with clinical medicine, developing practical tools for disease diagnosis and prediction that incorporate explainable AI approaches. Professor Sowmya's collaborative approach is evident in her extensive publication record across multiple journals and conferences. She has worked with researchers from diverse fields including ophthalmology, oncology, neurology, and public health, demonstrating the interdisciplinary nature of her research. Her laboratory work focuses on developing robust deep learning architectures for medical image analysis, with particular attention to segmentation networks, transformer models, and multimodal data fusion techniques. Her team has developed specialized networks for lung segmentation, tumor detection, and disease classification that address specific challenges in medical imaging.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +7 more

Steven Meikle is a Professor of Medical Imaging Physics and Head of the Imaging Physics Laboratory at the Brain and Mind Centre, University of Sydney. He also serves as Deputy Director (Preclinical) of Sydney Imaging and Deputy Director of the National Imaging Facility's Sydney node. His expertise spans advanced imaging technologies, with a focus on PET/SPECT instrumentation and molecular imaging. He holds a B.App.Sc.(Hons) from the University of Technology Sydney and a PhD from the University of New South Wales. Research focuses include developing novel PET systems like Open-field PET (for freely moving rodents) and Total Body PET, which enhance imaging sensitivity and enable real-time behavioral studies alongside brain function analysis. Collaborations include Tsinghua University (China) and UC Davis (USA). He leads projects on motion correction, quantitative imaging, and AI-driven analysis. Key achievements include over 180 peer-reviewed publications, editorial roles in Physics in Medicine and Biology , and leadership in professional societies. Awards include IEEE Senior Membership and Australian Institute of Physics Fellowship. Current student projects explore Total Body PET applications, motion correction, and radiopharmaceutical evaluation. Teaching roles include medical physics courses in diagnostic radiography and medical physics programs. He advises on imaging ethics, facility implementation, and translational research bridging basic science and clinical applications.

• Medical Imaging
• Molecular Imaging
• Neuroscience
• +3 more

Professor Anna Marie Munster is a distinguished academic and artist at UNSW Art and Design (College of Fine Arts), where she has held a full-time tenured position since 2001. Her work bridges theoretical scholarship with creative practice, establishing her as a leading figure in digital media art and critical theory. University: University of New South Wales School: College of Fine Arts (UNSW Art and Design) Position: Professor Qualifications: PhD from UNSW (2002), BA (Class 1 Hons with University Medal) from University of Sydney (1984) Professor Munster's research explores the intersections of art, technology, and philosophy, with particular focus on statistical visuality, radical empiricism, the politics and aesthetics of machine learning, and more-than-human perception. Her work integrates process philosophy with contemporary media practices, examining how time, movement, and sonicity shape our experience of digital environments. She approaches these topics through both theoretical scholarship and creative practice, often collaborating with artist Michele Barker on multi-channel audiovisual installations. Her publications reveal a consistent trajectory exploring the relationship between embodiment and digital media, with recent work focusing on AI and machine learning in cultural contexts. Munster's creative output demonstrates sophisticated integration of technical innovation with philosophical inquiry, particularly in how her installations challenge conventional perceptions of time and space. ARC, UNSW Student Council Award for Excellence in Postgraduate Supervision (2017) Dean's Award for Excellence in Postgraduate Supervision (2015) Highly commended for Materializing New Media at Prix Ars Electronica (2008) Winner of National Digital Art Awards 'The Harries' (2006) University Press of New England Publishing Award (2005) Professor Munster has completed over 20 PhD and Masters supervisions at UNSW and been involved in another 10 secondary supervisions. She currently supervises five PhD candidates working on diverse topics including coding materialities, critical bio-textiles, schizophrenia and XR technologies, sound and resonance, and affective drawing. Her ARC-funded research projects demonstrate sustained commitment to interdisciplinary work, particularly at the intersection of art, science, and technology. Her creative practice with Michele Barker has resulted in numerous commissioned installations exploring perception, embodiment, and the relationship between humans and technology.

• software studies
• technologies and embodiment
• multichannel and interactive installation work
• +19 more

Kaye Morgan is an Associate Professor in the School of Physics and Astronomy at Monash University, specializing in X-ray imaging technologies with applications in medical and respiratory research. She holds an Australian Research Council Future Fellowship and has held prestigious positions including a Hans Fischer Fellowship at Technische Universität München. Her research focuses on advancing X-ray optics methodologies, particularly phase contrast X-ray imaging (PCXI) and dark-field imaging, to enhance resolution, speed, and sensitivity. These techniques are applied to study airway health in cystic fibrosis and other respiratory diseases, using synchrotron facilities like SPring-8 and the Munich Compact Light Source. She has pioneered single-grid imaging and propagation-based dark-field approaches, enabling real-time visualization of lung dynamics and treatment efficacy. Morgan leads multiple high-impact projects funded by ARC and international collaborations, with over 85 publications in journals like Optics Express and Scientific Reports. Her work contributes to UN Sustainable Development Goals related to health and innovation. Key achievements include developing lab-based X-ray sources for clinical translation and quantifying lung microstructure through advanced imaging algorithms.

• X-ray Imaging
• Phase Contrast X-ray Imaging
• Dark-field Imaging
• +4 more

Professor Stuart L. Graham is a Professor of Ophthalmology at Macquarie Medical School and Head of Ophthalmology and Visual Science at Macquarie University Faculty of Medicine. He also serves as a Visiting Professor at the Save Sight Institute, University of Sydney. With expertise in glaucoma subspecialty and electrophysiology, his research focuses on optic nerve damage mechanisms, vascular and molecular factors, neurodegenerative pathways, and neuroprotective therapies for glaucoma and multiple sclerosis. He holds a MBBS, MS, PhD, and FRANZCO. His research projects include studies on retinoid agonists for glaucoma, early diagnosis of Alzheimer's via retinal screening, and retinal vascular changes in sleep apnea. He has received prestigious awards such as the FARVO (2023), Gillies Medal (2017), and RANZCO Distinguished Service Award (2015). With 384 research outputs and 64 active projects, his work spans clinical trials, drug development, and collaborative studies. His team explores novel therapies and imaging techniques to address vision loss and neurodegenerative diseases.

• Glaucoma Research
• Neurodegenerative Diseases
• Ophthalmology
• +7 more

Ingo Jahn is a Professor at The University of Queensland's School of Engineering. His academic career spans roles including R&D at Rolls-Royce (2007–2012) and academic positions at The University of Queensland (2012–2022). He holds an MEng (Oxford, 2005) and PhD (Oxford, 2011). Education: MEng in Engineering, University of Oxford (2005) PhD in Aerospace Engineering, University of Oxford (2011) Research Interests: Hypersonics: vehicle design, glide trajectory optimization, and aerothermodynamics Fluid Dynamics: computational methods, turbulence, and flow control Control Systems: model predictive control and co-design frameworks Thermodynamics: heat transfer in supercritical CO2 cycles and thermal protection systems His work bridges theoretical and experimental approaches, with a focus on hypersonic vehicle integration and propulsion systems. Publications: Recent articles emphasize hypersonic vehicle co-design, fluid-structure interaction, and experimental methods. Key themes include trajectory optimization, thermal management, and advanced simulation techniques. Grants & Awards: No awards explicitly listed, but extensive industry collaboration (e.g., Rolls-Royce) and leadership in high-impact projects indicate significant recognition. Supervision: Currently supervising 8 doctoral students on topics like hypersonic co-design, unstart prevention in ramjets, and scramjet trajectory optimization. Affiliations: Institute for Advanced Engineering and Space Sciences, AIAA, ASME. Active in conferences like AIAA SciTech and Global Power and Propulsion Society events.

• Hypersonics
• Fluid Dynamics
• Thermodynamics
• +4 more

Michael Doolan is a Senior Lecturer at Sydney College of the Arts, University of Sydney. He holds a PhD from Monash University (2013), a Master of Arts (2001), and a Bachelor of Arts (1981). His work explores the intersection of memory, narrative, and objects, using ceramics and mixed media to create sculptures that interrogate childhood narratives and their influence on adult identity. Doolan’s installations often feature disorienting optical effects and fairy tale motifs, reinterpreting classic stories through a contemporary lens. Education: PhD, Faculty of Art Design & Architecture, Monash University (2013) Master of Arts, Monash University (2001) Bachelor of Arts, Monash University (1981) Research Interests: Doolan’s practice focuses on the legacy of fairy tales and their unresolved narratives. By combining handcrafted techniques with digital fabrication, his sculptures critique cultural narratives and materiality. His work often features uncanny, monochromatic ceramic forms that evoke childhood memories while questioning adult perceptions of selfhood. Exhibitions & Awards: Recent highlights include the Deakin University Small Sculpture Award 2024 , participation in the Korean International Ceramics Biennale 2019 , and solo exhibitions such as Stories with Endings Changed (2018) and World without World (2017). His work is featured in major public and private collections internationally. Associations: Member, Australian Network for Art & Technology (ANAT) Member, International Society for the Arts, Sciences and Technology (Leonardo) Current Projects: Researching new sculptural works that blend handcrafting with digital fabrication to reflect contemporary entanglements between human and machine processes.

• Sculpture
• Ceramics
• Contemporary Art
• +3 more

Dr. Wenjing Jia is an Associate Professor at the University of Technology Sydney (UTS), affiliated with the School of Electrical and Data Engineering within the Faculty of Engineering and IT. She holds a PhD in Computing Sciences (UTS, 2007), Master's in Communications and Information Systems (Fuzhou University, 2002), and a Bachelor's in Communications Engineering (Jilin University, 1999). Her research focuses on image analysis, computer vision, and AI applications in healthcare, transport, and defense. Key areas include text detection in challenging environments, medical image super-resolution, and crowd surveillance systems. She leads projects with industry partnerships, securing over $900K in funding. Dr. Jia is also a recognized educator with 12+ years of teaching experience, specializing in internetworking subjects. She organizes international conferences (e.g., ICDAR2019, TrustCom-2017) and serves as a Cisco Certified Instructor Trainer. Awards include the Science and Technology Award and a finalist spot in the Cisco Women in IT Academia Award. Education: PhD in Computing Sciences, UTS (2007) MSc in Communications and Information Systems, Fuzhou University (2002) BEng in Communications Engineering, Jilin University (1999) Research Highlights: Developed algorithms for low-light text detection and medical image enhancement Advanced crowd counting and violence detection in surveillance systems Contributions to OCT image super-resolution and LiDAR point cloud analysis Teaching & Leadership: Lead CI of Teaching & Learning grants Legal Main Contact for UTS Cisco Networking Academy Deputy Head - Teaching and Learning (secondee) Awards: Excellent Thesis Award, Science and Technology Award (2019), and recognition in Women in IT Academia. Her work bridges academia and industry, with over 130 publications and active roles in conference organization and technology transfer.

• Artificial Intelligence
• Image Analysis
• Computer Vision
• +7 more

Dr. Lisa Walters is a Senior Lecturer in Women's Writing at the University of Queensland’s School of Communication and Arts. She holds affiliations with the Centre for Critical and Creative Writing. Her research focuses on Renaissance literature, particularly Margaret Cavendish, Shakespeare, and gender studies. She has held academic positions across Europe and the US, including a postdoctoral fellowship at Ghent University and visiting professorships in France. Dr. Walters earned her BA from UC Santa Cruz and MA/PhD from the University of Edinburgh. Her research explores intersections of science, philosophy, gender, and political thought in early modern works. Notable publications include Margaret Cavendish: Gender, Science and Politics (2014) and edited volumes such as Margaret Cavendish: An Interdisciplinary Perspective (2022). She currently co-edits Cavendish and Milton (Oxford UP) and serves as Deputy Chair of the Equity, Diversity and Inclusion Committee for UQ’s HASS Faculty. Recent articles address Cavendish’s scientific contributions, gender in early modern philosophy, and Shakespearean themes. Awards include the 2016 Teaching and Innovation Award (Liverpool Hope University) and a 2022 collaborative project honor. She chairs the International Margaret Cavendish Society and edits Margaret Cavendish: A Multidisciplinary Journal .

• Renaissance Literature
• Gender Studies
• Early Modern Philosophy
• +5 more

Dr. Karl Bertling is a Senior Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland (UQ). His research focuses on pioneering imaging and sensing techniques using laser feedback interferometry (LFI), particularly with terahertz quantum cascade lasers (QCLs). Key areas include early melanoma detection, agricultural photonics, and near-field terahertz imaging of nanomaterials. He holds a PhD in Engineering from UQ (2012) and has authored over 140 publications in journals like Optics Express and IEEE Transactions . His work spans diverse applications: from biomedical imaging to cultural heritage preservation, leveraging LFI for non-destructive analysis. Collaborations include projects with institutions like the Queensland Brain Institute and industry partners. Bertling’s expertise bridges materials science, photonics, and quantum technologies, with contributions to THz nanoscopy and quantum device characterization. Research interests include: Terahertz QCL-based imaging and sensing Biomedical applications: skin pathologies and cancer detection Agricultural monitoring via terahertz hydration sensing Nanostructure analysis using THz nanoscopy Grants and funding: Multiple Australian Research Council (ARC) grants and industry partnerships support his work. Ongoing projects explore THz photonics for precision agriculture and quantum material characterization.

• Laser Feedback Interferometry
• Terahertz Imaging
• Biomedical Engineering
• +3 more

Professor Shawn Kook is a faculty member at the University of New South Wales (UNSW), where he directs the UNSW Engine Research Laboratory and conducts cutting-edge research in engine technologies and sustainable powertrain systems. His work focuses on developing new powertrain technologies for carbon neutral fuel combustion across various applications. His research expertise spans multiple critical areas: Internal Combustion Engines (Petrol/Gasoline, Diesel, Gasoline Compression Ignition, Dual-Fuel) Alternative Fuels (Hydrogen, Ethanol, Biodiesel, Natural Gas, Kerosene, Gas-To-Liquid) Optical Engines and Laser-based Imaging Diagnostics In-cylinder Flow Fields, Turbulence, and Combustion Processes Pollutants Formation (Soot, Particle Morphology, NOx, HC, CO, CO2) Professor Kook's research program investigates new diesel compression-ignition (CI) and petrol spark-ignition (SI) engines developed for high efficiency and low air-polluting emissions, including cooperation with other power generation methods such as gasoline-electric hybrids. His carbon neutral fuel research encompasses hydrogen, ethanol, methanol, jet fuel, biodiesel, and other renewable source fuels. The recent publications show a strong trend toward hydrogen combustion, optical diagnostics of in-cylinder processes, and alternative fuel research with emphasis on emissions reduction. He actively supervises research students focusing on internal combustion engines, CI engines, SI engines, energy & fuels, turbulence, and hydrogen technologies. Professor Kook has also founded DeCarice Pty Ltd, a UNSW spinout company where he serves as co-founder and chief technology officer, demonstrating his commitment to translating research into commercial applications.

• Internal Combustion Engines
• Alternative Fuels
• In-cylinder Flow Fields and Turbulence
• +7 more

Dr. Callum Atkinson is a Senior Lecturer in Mechanical & Aerospace Engineering at Monash University, specializing in turbulent flow dynamics and experimental fluid mechanics. His research focuses on understanding and controlling turbulent shear flows in pipes, boundary layers, jets, and rocket engines, combining high-fidelity numerical simulations with advanced optical diagnostics like holographic PIV and tomographic techniques. He has developed novel methodologies for 3D velocity and density measurements, contributing to drag reduction studies, heat transfer analysis, and flow control in aerospace and mechanical systems. His work addresses UN Sustainable Development Goals related to energy efficiency and sustainable transport. Current roles include leading collaborative projects on adverse pressure gradient boundary layers and flow mixing, and he actively participates in peer review for journals like Journal of Fluid Mechanics and Physics of Fluids . He supervises PhD students in topics such as hybrid rocket engine optimization and turbulence modeling, leveraging Monash's engineering research infrastructure. Notable contributions include one of the world's largest adverse pressure gradient simulations and pioneering volumetric flow visualization techniques. His experimental toolkit includes laser diagnostics, tomographic PIV, and background-oriented schlieren systems. Recent work has explored superhydrophobic surface drag reduction, thermal jet behavior, and the dynamics of high-speed jet flows. He maintains a strong focus on bridging experimental and computational fluid dynamics to advance fundamental understanding and industrial applications.

• Turbulent flows
• Heat transfer
• Aerodynamics
• +5 more

Yasmeen George is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. She holds a PhD in Medical Image Processing from the University of Melbourne (2018) and a Master's in Computer Science from the University of Ain Shams (2013). Her research focuses on AI applications in healthcare, particularly medical image analysis for conditions like cancer, glaucoma, and psoriasis. She co-founded the AIM for Health Lab at Monash IT and is a research affiliate at the Victorian Institute of Forensic Medicine. Education: PhD (Medical Image Processing), University of Melbourne (2018); Master of Computer Science (Medical Image Analytics), University of Ain Shams (2013). Research interests include AI-driven medical image analysis, machine learning, and cross-domain healthcare analytics in radiology, dermatology, and ophthalmology. Her work addresses challenges in automated disease detection, lesion segmentation, and severity assessment across modalities like 2D/3D imaging and text data. Recent articles focus on kidney segmentation, glaucoma detection, federated learning for breast cancer, and AI frameworks for hazardous waste policy. Her research has led to patents with IBM and grants from MRFF and NHMRC. Awards: Recipient of the 2023 Heidelberg Laureate Foundation Alumni Award. Collaborations include projects on clean energy sustainability and hazardous waste management through advanced AI techniques. She actively advises PhD students and engages in interdisciplinary research teams across Monash and industry partners. Labs/Teams: Co-founder of the AIM for Health Lab, affiliated with the Victorian Institute of Forensic Medicine.

• Artificial Intelligence
• Machine Learning
• Medical Image Analysis
• +6 more

Yuerui (Larry) Lu is an Associate Professor at the Australian National University (ANU), serving as Program Manager and Chief Investigator at the ARC Centre of Excellence for Quantum Computation and Communication Technology. He holds a Ph.D. from Cornell University (Electrical and Computer Engineering) and a B.S. from the University of Science and Technology of China (Applied Physics). His research focuses on MEMS/NEMS sensors, nano-manufacturing, renewable energy, and quantum materials integration. Key research interests include 2D quantum materials, optoelectronic devices, energy harvesting for flexible electronics, and biomedical sensors. Lu has authored over 100 peer-reviewed articles, with notable contributions in Nature , Nature Communications , and Chemical Reviews . He is an Associate Editor of Scientific Reports and a reviewer for journals like Advanced Materials and Nano Letters . Awards: ACT Young Tall Poppy (2016), DECRA Fellowship (2014), MRS Graduate Student Award (2012). Leadership: Co-founded the ARC Quantum Centre, leading projects in quantum photonics and nanofabrication. His work bridges fundamental physics and applied nanotechnology, with applications in wearable biosensors, renewable energy systems, and quantum communication devices.

• MEMS/NEMS sensors and actuators
• nano-manufacturing technologies
• renewable energy harvesting
• +7 more