Geoff Currie

Nuclear medicine & molecular imaging

Professor Geoff Currie, AM

BPharm, MMedRadSc(NucMed), MAppMngt(Hlth), MBA, PhD

Professor in Nuclear Medicine
Wagga Wagga
Building 30 Room 257

Prof Geoff Currie was appointed in Medical Radiation Science at Charles Sturt University in 2002. Geoff has a Bachelors Degree in Pharmacy, Masters Degree in Medical Radiation Science (nuclear medicine), a Masters Degree in Applied Management (health), a Masters Degree in Business Administration (MBA) and a Doctor of Philosophy (PhD).

Geoff trained at St Vincent's Hospital in Sydney before relocating to Royal Prince Alfred Hospital (RPAH), undertaking positron emission tomography (PET) training at the University of California, Los Angeles (UCLA), several roles in the private sector in Sydney, the Gold Coast and on the Central Coast of NSW. With several decades of clinical, management and research experience, a career in academia seemed logical and Geoff commenced his career at CSU in 2002.

Geoff is an adjunct Professor in Radiology at Baylor College of Medicine in Houston Texas. On Australia day 2020, Geoff was awarded Member of the Order of Australia (AM) in recognition of his contribution to nuclear medicine and medical radiation science.

Google Scholar

ResearchGate

Geoff has been recognised on multiple occasions at Charles Sturt University as a 'Teaching Leader' at University level. In 2020 he was awarded “Outstanding Educator” by the SNMMI-TS in the USA. He has provided global leadership through teaching innovation in the medical radiation sciences.

This has included implementation of professional portfolios for undergraduate students to enhance learning and professionalism. He has also led the development of an internationalisation program for students in New Zealand, London and the USA. Geoff has also pioneered a formal evaluation of the use of mobile learning and applications associated with iPad and GoogleGlass technology to enhance student engagement and learning. More recently, he has formally evaluated the capabilities of generative artificial intelligence (text-to-text and text-to-image) in education, and implemented application within his teaching.

He has numerous educational publications and conference presentations including in generative AI, curriculum development, authentic assessment, cultural proficiency and emotional acuity in learning and teaching. In response to the growing workforce needs across the nuclear sector (with the emerging AUKUS nuclear submarine project),

Geoff has led the development and funding success in numerous initiatives including microcredential pathway programs, a suite of micro-subjects and new undergraduate and postgraduate courses in nuclear science and safety.

Geoff teaches in the areas of:

  • Nuclear medicine clinical science and instrumentation
  • Radiopharmacy (nuclear medicine, PET and radionuclide therapy)
  • Computed tomography (CT) and magnetic resonance imaging (MRI)
  • Research methods
  • Pathophysiology and pathology
  • Pharmacology, pharmacokinetics and kinetic modelling
  • Medical imaging physics
  • Artificial intelligence & image processing
  • Nuclear physics and radiation physics
  • Nuclear science, safety, security and safeguards

Geoff has broad research interests across the medical radiation sciences and, indeed, health generally with (as at May 2024) more than 206 peer reviewed journal papers, author of 3 books, author of another 7 book chapters, editor of 5 books, 190 conference presentations, 95 invited speaker presentations, a reviewer for more than 20 international journals, 11 research excellence awards, supervisor of numerous doctoral, masters and honours research students and over $6.7 million in grant funding / support.

Geoff currently undertakes research and supervises students in the following broad areas:

  • Diagnostic and molecular imaging (radiography, CT, MRI, SPECT, PET, hybrid imaging)
  • Clinical nuclear medicine
  • Image guided therapy, theranostics and radiation dosimetry
  • Radiopharmacy
  • Pharmacology and pharmacokinetics
  • Radiomics
  • Artificial intelligence, neural network analysis, machine learning and deep learning

Current Highlight:

  • NOBLE (Nobody Left Behind) international trial. Determining the safety and tolerability of [99mTc]Tc-HYNIC-iPSMA SPECT in the detection of Prostate Cancer: A prospective collection of patient data and SPECT images. The NOBLE trial includes arms in 10 countries with Charles Sturt University teaming up with TeleMed Health Services to run the Australian arm.