Find Academic Supervisors

Professor Annette Haworth is a distinguished academic at the University of Sydney, serving as Director of the Institute of Medical Physics and Course Director for the Master of Medical Physics program. She holds conjoint roles at Westmead and Blacktown Hospitals in radiation oncology medical physics. With over 25 years of clinical experience, her work bridges medical physics, radiation oncology, and AI-driven treatment optimization. Her research focuses on biologically targeted radiation therapy, particularly prostate cancer, using advanced imaging biomarkers and AI to customize dose delivery. She leads the BiRT project ( https://birt.sydney.edu.au/ ), which develops imaging biomarkers for tumor characterization and biological treatment planning across multiple cancer sites. PhD, University of Western Australia MSc, University of Western Australia BSc(Hons), University of Leeds Her recent publications (2023-2025) explore heterogeneous dose prescriptions, radiomic stability, and AI-enhanced segmentation for radiotherapy. Key trends include integrating quantitative MRI, PET imaging, and machine learning to personalize radiation doses while minimizing healthy tissue exposure. Scientific awards: 2021 University of Sydney DVCR Cancer Gift 2015 Judith Stitt Award (American Brachytherapy Society) 2007 TROG Outstanding Achievement Award Life Member, TROG (2018) Fellow, Australasian College of Physical Scientists in Medicine Prof Haworth supervises a multidisciplinary team of physicists, computer scientists, and clinicians, with active PhD students at the University of Sydney, Auckland, and Western Australia. She has secured competitive grants, including an NHMRC project grant (2016) for BiRT development and PdCCRS funding (2010-2014) for prostate cancer bioeffect models.

• Medical Physics
• Radiation Oncology
• Artificial Intelligence in Medical Imaging
• +3 more

Dr. David Waddington is an NHMRC Emerging Leadership Fellow at the Image X Institute within the Faculty of Medicine and Health at the University of Sydney. He is a member of the University of Sydney Nano Institute and collaborates internationally with institutions like the Martinos Center for Biomedical Imaging at Massachusetts General Hospital. His work focuses on advancing MRI-based imaging technologies for cancer treatment guidance and developing nanoparticle probes for targeted drug delivery. Education: David holds a PhD in Science from the University of Sydney (2018) and earned a University Medal in Physics from UNSW (2010). He was a recipient of a prestigious Postgraduate Fulbright Scholarship (2013–2014) at Harvard University. Research Interests: His projects include the Australian MRI-Linac initiative to improve radiation therapy accuracy through real-time tumor tracking and distortion correction, as well as innovations in low-cost MRI systems and AI-driven image reconstruction. He explores hyperpolarized nanodiamonds for enhanced MRI contrast and synthesizes nanoparticles to improve diagnostic imaging precision in cancer treatment. Key projects: Australian MRI-Linac, MANGO Study, Low-Cost MRI Development International collaborations: Martinos Center (Massachusetts General Hospital) Awards : His achievements include two Best in Physics awards at AAPM (2020, 2022), Summa Cum Laude awards at ISMRM (2016, 2020), and grants such as the FMH Rewarding Research Success (2022) and SEMCAN Viral Bytes Prize (2020). Grants & Students : Leads grants like the 'AI Platform for Targeted Radiotherapy' and 'Advancing Dynamic MRI'. Advises James on developing deep learning techniques for adaptive MRI-guided radiotherapy. His work has produced two patent applications and TEDx talks on medical innovation. Labs/Teams : Affiliated with the ACRF Image X Institute and collaborates with interdisciplinary teams in radiation oncology and biomedical engineering.

• Medical Imaging
• Cancer Therapeutics
• MRI Technology Development
• +4 more

Dr Abdullah Nazib is a Research Fellow at Queensland University of Technology (QUT) in the Faculty of Engineering, School of Electrical Engineering & Robotics. His research focuses on applying advanced computational techniques to medical imaging challenges, particularly in cancer detection and treatment planning. His research interests include: Medical image registration and segmentation Deep learning architectures for healthcare applications 3D medical image analysis Prostate cancer detection and grading Organ segmentation for radiation therapy Radiomics-based diagnostic systems Analysis of Dr Nazib's publication history reveals a clear evolution from general computer vision research toward specialized medical applications. His recent work demonstrates significant contributions to uncertainty quantification in medical image segmentation and multimodal learning approaches for diagnostic imaging. The 2024 publications particularly highlight his focus on clinically relevant applications with immediate potential impact on cancer diagnosis and treatment planning. His collaborative research network includes strong partnerships with Dr Fookes, Dr Perrin, and other members of QUT's biomedical imaging group, reflecting an interdisciplinary approach that bridges computer science, engineering, and clinical medicine to develop practical AI solutions for healthcare challenges.

• Medical Imaging
• Computer Vision
• Deep Learning
• +4 more

Peter Greer is a Conjoint Professor in the School of Information and Physical Sciences at the University of Newcastle, where he leads a medical physics research group. He holds a dual appointment at the Calvary Mater Newcastle Hospital, where he conducts clinical research in radiation oncology physics. His work bridges physics, medicine, and information technology to improve cancer treatment through advanced radiation therapy techniques. Greer earned his PhD in medical physics from the University of Adelaide in 2001. His educational background in medical physics provided the foundation for his career in radiation therapy research and development. Peter Greer's research focuses on improving radiation therapy for cancer patients through several key areas. He is a recognized world leader in radiation dosimetry with flat-panel imaging devices and has pioneered MRI-based treatment planning techniques. His team developed the first atlas-based deformable image registration method to map realistic electron densities to MRI scans for dose calculations, potentially eliminating the need for CT scans in prostate radiation therapy planning. He also leads research on real-time verification systems like Watchdog, which monitors radiation delivery during treatment to ensure accuracy and patient safety. His work on remote auditing through VESPA (Virtual EPID Standard Phantom Audit) has revolutionized how multicenter clinical trials maintain treatment uniformity without requiring physicists to travel to remote sites. An analysis of Greer's recent publications reveals a strong focus on medical physics innovation, particularly in MRI-based treatment planning, EPID dosimetry, and quality assurance methodologies. His work spans from fundamental technical developments to clinical implementation, with increasing emphasis on artificial intelligence applications for image synthesis and treatment verification. The research shows progression from single-center studies to large multicenter clinical trials, demonstrating translation of research into clinical practice. Greer has received numerous scientific awards recognizing his contributions to medical physics, including: Fellowship of the Australasian College of Physical Scientists and Engineers in Medicine (2014) Early Career Researcher of the Year from the Hunter Medical Research Institute (2010) 3D Segmentation Challenge for Clinical Applications from the MICCAI Society (2009) Best presentation in Radiation therapy from Varian Medical Systems, Inc. (2007) Greer has supervised numerous research students and has secured significant research funding, including grants from The American Society for Radiation Oncology (ASTRO) and the National Health and Medical Research Council (NHMRC). His work has led to several research outcomes being developed into commercial products for radiation oncology. He has twice served as Scientific Director for major international conferences in radiotherapy treatment imaging and has been an invited speaker at numerous national and international conferences. Greer leads a research group based at the Calvary Mater Newcastle Hospital that collaborates with multiple institutions including CSIRO Biomedical Imaging Research Group, CancerCare Manitoba, and the University of Sydney. His team works on cutting-edge projects such as MRI-only treatment planning, real-time dose verification systems, and remote auditing methodologies that are transforming radiation oncology practice worldwide.

• Medical Physics
• Radiation Therapy
• MRI-based Treatment Planning
• +3 more

Associate Professor Yolanda Surjan serves as Head of Discipline for Radiation Therapy and Director of the Global Centre for Research and Training in Radiation Oncology at the University of Newcastle's School of Health Sciences. With a Doctor of Philosophy from the same institution, she leads translational research bridging human and veterinary radiation oncology while advancing medical education practices. Her pioneering research focuses on two primary domains: evaluating teaching methodologies for health professionals and translating radiation therapy applications from human to veterinary medicine. Notably, she identified a critical gap in equine cancer treatment, developing protocols for radiation therapy in veterinary clinics - particularly for ocular/periocular squamous cell carcinoma in horses. This work earned her the University's inaugural Chancellor's Award for Innovation and recognition through CSIRO's ON Prime accelerator program. Analysis of her 15 most recent publications reveals a strong emphasis on clinical translation, with significant contributions in veterinary radiation oncology, health literacy interventions for radiation therapists, and technological advancements in treatment planning. Her research demonstrates consistent progression from foundational veterinary applications toward broader implementation in human cancer care pathways. Chancellor's Award for Innovation (2016) CSIRO Breakout Female Scientist Award (2017) Gladys M. Brawn Fellowship (2016-2019) Senior Fellowship from UK Advance Higher Education Academy (2025) Multiple teaching excellence awards including ALTC Citation (2010) Surjan has successfully secured over $800,000 in research funding, including CSIRO's ON Accelerate program and multiple University of Newcastle strategic grants. She supervises numerous HDR students and has established collaborative networks spanning veterinary clinics, human oncology centers, and industry partners. Her leadership extends to directing the Global Centre for Research and Training in Radiation Oncology, which aims to elevate global cancer care standards through research and education partnerships.

• Radiation Therapy
• Veterinary Radiation Oncology
• Cancer Treatment Translation
• +4 more

Dr. Uphar Chamoli is a biomechanist affiliated with the University of New South Wales and the Spine Labs at St. George Hospital (Kogarah). His research focuses on musculoskeletal biomechanics, particularly spinal pathologies and orthopaedic implants, bridging academia and industry for clinical translation. Education: BTech in Mechanical Engineering (2008), Indian Institute of Technology, Dhanbad MPhil in Biological Sciences (2012), UNSW Sydney PhD in Spine Biomechanics (2016), UNSW Sydney Research Interests center on orthopaedic biomechanics, finite element modeling, in vitro biomechanical testing, diagnostic imaging (CT, MR, Ultrasound, X-ray), and clinical study design. His work examines lumbar disc herniation, segmental stiffness loss, and recurrent herniation factors, developing novel imaging and computational techniques for patient-specific models. Scientific Awards include the Best Abstract & Presentation (2017, Asia-Pacific Society of Lateral Access Surgery), Young Investigator Award (2014, St. George & Sutherland Medical Research Symposium), and multiple scholarships from UNSW and international institutions. Supervision spans orthopaedic biomechanics, finite element modeling, and clinical outcomes analysis. Current PhD candidates include Vivek Ramakrishna (smart spinal implants), Xiaolong Chen (microdiscectomy studies), Kyle Sheldrick (MRI post-processing algorithms), and Geoff Smith (critical shoulder angle research).

• Biomechanics
• Orthopaedic Implants
• Finite Element Analysis
• +3 more

Associate Professor Narinder Singh is a clinical academic at the University of Sydney and Head of the ENT Department at Westmead Hospital, Australia's largest healthcare campus. His expertise spans Rhinology, Rhinoplasty, Anterior Skull Base Surgery, and Sleep Apnea interventions. Education: MBBS and MS from the University of Sydney, FRACS certification. Research Focus: Computational Fluid Dynamics (CFD) for nasal airflow and drug delivery. Artificial Intelligence (AI) applications in ENT diagnostics and imaging. Allergen-specific cytokine responses in nasal polyps. Snoring and Obstructive Sleep Apnoea Surgery. Recent Publications (2023-2024): AI in otoscopic image triage for Indigenous children. CFD analysis of nasal adhesions and post-FESS physiology. Global health collaborations in nutrition and disease burden studies. Scientific Awards: Garnett Passe & Rodney Williams Memorial Foundation 3-year Conjoint Grant. University of Sydney scholarships and fellowships. International Collaborations: Clinical/Research Fellow at King's College London. Partnerships with Universidad Politecnica de Cartagena and others on CFD projects.

• Rhinology
• Otolaryngology
• Anterior Skull Base Surgery
• +5 more

Dr. Michael Geoffrey Jameson is a Medical Physics researcher at the University of New South Wales, Medicine & Health faculty, based at St Vincent's Clinical School. His work focuses on improving radiotherapy accuracy and precision through innovative research across the entire treatment planning and delivery process. Education: Ph.D., University of Wollongong, NSW, Australia (2016) B.Med.Rad.Phys (hons1), University of Wollongong, NSW, Australia (2007) His research interests center on Medical Physics, Radiation Oncology, MRI applications, Image Processing, Radiation Dosimetry, and 3D Printing. Dr. Jameson has made significant contributions to understanding uncertainties in target delineation and has co-invented The HexaCheck medical device, now licensed to Standard Imaging Inc. His publications demonstrate a strong focus on adaptive radiotherapy, particularly for brain cancer treatment, with an emphasis on integrating MRI technology to improve treatment accuracy. Scientific Recognition: Cancer Institute NSW Early Career Fellowship recipient NHMRC Program Grant recipient Associate Editor, Australasian Physical & Engineering Sciences in Medicine (since 2014) Dr. Jameson serves as Principal Investigator on multiple research projects including the INTREPID trial for brain cancer outcomes and has secured significant funding from Cancer Institute NSW, NHMRC, and UNSW. His professional affiliations include the Australasian College of Physical Scientists and Engineers in Medicine, Australian Institute of Physics, American Association of Physicists in Medicine, and Trans-Tasman Radiation Oncology Group.

• Medical Physics
• Radiation Oncology
• MRI
• +9 more

Dr. Jason Dowling is an Adjunct Associate Professor at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on advancing medical imaging and artificial intelligence techniques for radiation therapy applications, particularly in MRI-based treatment planning and synthetic CT generation. He leads interdisciplinary projects involving deep learning, medical image segmentation, and clinical decision support systems. His work integrates computational methods with clinical needs, addressing challenges in prostate cancer radiotherapy, cervical cancer imaging, and forensic applications of medical imaging. Key contributions include developing algorithms for MR-to-CT synthesis, automated tumor and organ segmentation, and uncertainty quantification in clinical datasets. Dr. Dowling’s research also explores the application of generative adversarial networks (GANs) and probabilistic models to improve treatment planning accuracy and reduce reliance on traditional CT scans. His collaborations span academic and clinical institutions globally, driving advancements in precision medicine and AI-driven healthcare solutions.

• Medical Imaging
• Radiation Therapy
• Deep Learning
• +3 more

Dr. Megan Farquhar is a Lecturer at the School of Mathematical Sciences, Faculty of Science, Queensland University of Technology (QUT). She holds a PhD in Cardiac Modelling with Fractional Calculus from QUT (2018). Her research focuses on applied mathematics, numerical methods, and computational modeling in biomedical contexts, particularly in cardiac physiology and tissue engineering. She specializes in GPU-accelerated algorithms, fractional calculus applications, and modeling cardiac fibrosis/ischaemia using advanced computational techniques. Education: PhD in Applied Mathematics (QUT, 2018) Her research interests span computational cardiology, biomedical engineering, and numerical analysis. She has developed models for cardiac tissue dynamics and diffusion processes using graph theory and fractional differential equations. Her work integrates high-performance computing to address complex biomedical challenges. Publications highlight contributions to cardiac fibrosis modeling, diffusional kurtosis mapping, and GPU-based numerical methods. Her research bridges mathematical theory with practical biomedical applications, advancing computational tools for medical diagnostics and treatment planning.

• Applied Mathematics
• Numerical and Computational Mathematics
• Biomedical Engineering
• +2 more

Dean Cutajar is a Lecturer in the School of Physics at the University of Wollongong since 2021. His research focuses on advanced radiation therapy techniques, medical dosimetry, and quality assurance in brachytherapy and MRI-Linac systems. He has contributed to the development of high-resolution dosimetry tools like MagicPlates and MOSkin sensors, enhancing precision in cancer treatment. His work spans HDR and LDR brachytherapy, real-time dosimetry validation, and adaptive radiotherapy strategies for prostate and cervical cancers. Key projects include optimizing source tracking in HDR treatments and improving dosimetric accuracy in complex geometries like MR-Linacs. He has supervised numerous PhD and Master’s students in radiation oncology and medical physics. Research Highlights: Fiber-optic dosimeters, Geant4 benchmarking, in-vivo dosimetry, and MRI-Linac integration. Grants: Led projects funded by NHMRC, AINSE, and the University of Wollongong, totaling over $5M in research support. Dean collaborates internationally on advancing radiation therapy technologies, emphasizing clinical translation and evidence-based treatment planning.

• Radiation Therapy
• Medical Physics
• Dosimetry
• +3 more

Associate Professor Zack Shan is a biomedical engineer and academic at the Thompson Institute of the University of the Sunshine Coast (UniSC), Queensland, Australia. Specializing in brain imaging and machine learning applications , his research focuses on integrative translational neuroimaging to understand neurological and mental disorders, particularly Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) . Education: PhD from Cleveland State University/Cleveland Clinic Foundation, MS in Chemistry from The Chinese Academy of Sciences, BSc (Hons) from Southeast University. Role: Head of Neuroimaging Platform at the Thompson Institute. Research: Developing predictive brain models for ME/CFS diagnosis and prognosis, investigating brain energy supplies, and autonomic regulation. Grants: NHMRC Ideas Grant ($1.27M), Mason Foundation ($354k), ME Research UK (£419k). Teaching: Supervising Honours and PhD students in neuroimaging techniques and machine learning applications . His work combines multimodal MRI , machine learning , and deep learning to identify neuroimaging biomarkers for ME/CFS and mental health disorders. Recent studies highlight the role of white matter alterations in ME/CFS subtypes and brain fingerprinting for early mental health risk prediction. Key contributions include: First neuroimaging study of brain energy supplies in ME/CFS. Development of geometric eigenmode brain fingerprinting for longitudinal mental health analysis. Investigations into neuroimmune interactions using MRI.

• Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
• Translational neuroimaging
• Magnetic resonance imaging
• +2 more

Dr. Madeline Romaniuk is an Honorary Associate Professor at the School of Psychology, University of Queensland. Her work focuses on mental health challenges faced by military veterans, particularly in the context of posttraumatic stress disorder (PTSD), sleep disturbances, and reintegration into civilian life. Key Research Areas: PTSD treatment, military-to-civilian transition, family support systems, neuroimaging in veteran populations, and evaluation of therapeutic interventions. Recent publications highlight her expertise in cognitive behavioral therapy, compassionate mind training, and psychometric scale development. While her academic output emphasizes clinical psychology and veteran mental health, no honors, formal awards, or student advisement details are noted in the provided materials. Her collaborations with multidisciplinary teams and institutions reflect a sustained commitment to improving veteran wellbeing through innovative programs and rigorous empirical validation of assessment tools.

• Clinical Psychology
• Mental Health
• Posttraumatic Stress Disorder (PTSD)
• +3 more

Dr. Jonathan Hong is an Associate Professor in Surgical Education at the Central Clinical School, University of Sydney. His work focuses on advancing surgical training methodologies and improving clinical outcomes through evidence-based practices. He is affiliated with the Royal Prince Alfred Hospital Institute of Academic Surgery, contributing to paradigm shifts in surgical education models. His educational background is not explicitly detailed in the provided texts, but his extensive publications and roles suggest a strong academic and clinical foundation in surgery. Research interests include colorectal surgery techniques, minimally invasive approaches, competency assessment frameworks, and the integration of digital tools into surgical training. He has also explored MRI applications for predicting surgical difficulties and outcomes, particularly in rectal cancer cases. Dr. Hong’s articles highlight trends in surgical education innovation, the physical/mental demands of robotic vs. open surgery, and the diagnostic challenges of acute colonic pathologies. He has contributed to discussions on guideline adherence in diverticulitis management and pioneered student-led mentorship programs in surgical training. His work emphasizes bridging clinical practice with academic rigor through structured competency evaluations and digital support systems. While no scientific awards are mentioned, his consistent output in peer-reviewed journals demonstrates scholarly engagement. Grants and advising details are not explicitly stated in the text. He is involved in the Royal Prince Alfred Hospital Institute of Academic Surgery, which develops cutting-edge surgical training programs. His collaborations span multidisciplinary teams focused on microsurgery laboratories and competency-based surgical education models.

• Surgical Education
• Colorectal Surgery
• Minimally Invasive Surgery
• +3 more

Associate Professor Jeffrey Looi is an academic neuropsychiatrist at the Australian National University (ANU), leading the Social Psychiatry and Epidemiology Research Unit. He holds dual appointments as Associate Professor of Neuropsychiatry and Old Age Psychiatry, and has served as Discipline Lead/Head of Psychiatry & Addiction Medicine at ANU's Clinical School. He is also a Visiting Guest Researcher at the Karolinska Institute (2006-2016) and Clinical Associate Professor at the University of Melbourne (2015-2019). His research focuses on neuroimaging biomarkers for neuropsychiatric diseases, mental health policy, and telepsychiatry innovations. Education: MBBS (University of Sydney, 1992), MD (ANU, 2011), DMedSc (University of Melbourne, 2018) Professional Qualifications: FRANZCP (Psychiatry), AFRACMA (Medical Administration) Research interests include structural-functional MRI neuroimaging, mental health services analysis, and health economics. He co-founded CAPIPRA, a policy research network producing over 150 collaborative papers influencing mental healthcare policy. Awards include a Fulbright Scholarship (2005) and AMA Fellowship (2024). Recent work addresses telehealth policy, electronic health record security, and workforce shortages in rural psychiatry. He currently serves as Editor-in-Chief of Australasian Psychiatry .

• Neuropsychiatry
• Neurodegenerative diseases
• Mental health policy
• +3 more