Biography
Maria Antico holds a B.Eng. degree in Engineering Sciences from the University of Rome Tor Vergata, Italy (2014); and an M.Eng. degree in Biomechanical Engineering from the Technical University of Delft, The Netherlands (2016). She was then awarded a PhD in Medical Robotics at the Queensland University of Technology (QUT), Australia (2021), with a specialization in ultrasound-based autonomous robotic guidance.
In 2021, Antico secured a Postdoctoral Fellowship at the Centre for Biomedical Technologies (QUT) on pioneering wearable ultrasound technologies. Since 2022, she has held a CERC Postdoctoral Fellow position in Medical Image Analysis at the Australian e-Health Research Centre, focusing on the same research domain.
Antico 's expertise lies at the intersection of Engineering, Robotics, Artificial Intelligence (AI), and Medical Imaging, with a strong emphasis on Ultrasound Imaging. Over the years, she has merged her engineering background with advanced technologies to contribute to the field of medical imaging. Her research has spanned over diverse applications, encompassing musculoskeletal (knee, spine, shoulder joints), ear, lung, and cardiac imaging, alongside orthopaedic surgery, radiotherapy planning and guidance, and advanced image processing.
Maria aims at advancing automatic quantitative ultrasound to support clinicians and broadening the impact of this technology for enhanced patient care. Her goal is to make a tangible difference in healthcare by leveraging her expertise in medical imaging and AI.
Academic Qualifications
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2021
PhD in Medical Robotics
Queensland University of Technology, Australia -
2016
MSc in Mechanical Engineering
Delft University of Technology, The Netherlands -
2014
BSc in Engineering Sciences
University of Rome Tor Vergata, Italy
Achievements and Awards
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2021-/
Outstanding Doctoral Thesis Award
Queensland University of Technology (Australia) -
2020-/
High-Achiever HDR Student
Queensland University of Technology (Australia)
Current Roles
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CERC Postdoctoral Fellow
Medical Image Analysis Team
Grants
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2023-2025
ARC Discovery Project Grant (DP23): "Understanding bone structure evolution using machine learning"
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2021-2022
Centre for Biomedical Technologies Research Fellowship Award (QUT)
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2021-/
2021 CBT Early Career Researcher Grant (QUT) ”AI-based Tomographic Ultrasound Image Formation from a Novel, Wearable Ultrasound Device” CIA: Maria Antico
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2021-/
2021 CBT Industry Engagement Grant ”Does body shape, size and form influence how we lie when sleeping?: A personalisation tool using statistical modelling” INVESTIGATORS: A/Prof Paige J Little (Lead investigator); Maria Antico
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2017-2020
PhD scholarship by the Australian India Strategic Research Fund (AISRF11, Biotechnology Collaborative Research Project, “New class of intelligent robotic imaging system for keyhole surgeries”) (QUT)
Professional Experiences
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September 2022-Present
Adjunct Lecturer
Queensland University of Technology (Australia) -
July 2021-September 2022
Research Fellow (Lecturer)
Queensland University of Technology (Australia) -
September 2020-June 2021
Research Engineer (Part-Time)
Queensland University of Technology (Australia) -
November 2019-June 2021
Research Fellow (Part-Time)
Queensland University of Technology (Australia) -
September 2015-October 2016
Research intern
Philips Research (The Netherlands) -
July 2015-August 2015
Research intern
Delft University of Technology (The Netherlands)
Community and Corporate Citizenship
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2022-2022
HDR Lead of the HDR committee for the Centre of Biomedical Technologies (QUT)
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2022-2022
Mentor for STEM high school students (collaboration between Mabel Park State High School (MPSHS) and QUT)
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2022-Present
Reviewer for ARC Grants