Amanda S. Barnard
Scholar

Amanda S. Barnard

Google Scholar ID: lGtwfOQAAAAJ
Senior Professor of Computational Science, Australian National University
computational nanosciencematerials data sciencematerials informaticscomputational science
Citations & Impact
All-time
Citations
5,080
 
H-index
35
 
i10-index
133
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Fellow - Australian Computer Society (2024), Member of the Order of Australia (2022), Certified Professional - Australian Computer Society (2022), AMMA Medal - Association of Molecular Modellers of Australasia (2019), Fellow - Royal Society of Chemistry (2018), 100 Women of Chemistry - Royal Society of Chemistry (2018), Woman of Achievement - Black & White Foundation, Vision Australia (2017), Feynman Prize in Nanotechnology (Theory) - Foresight Institute (2014), ACS Nano Lectureship (Asia-Pacific) - American Chemical Society (2014), Fellow - Australian Institute of Physics (2012), Distinguished Lecturer - IEEE (2010), UNSW Eureka Prize for Scientific Research - Australian Museum (2010), Frederick White Prize - Australian Academy of Science (2010), Chief’s Science Research Award - CSIRO Materials Science & Engineering (2009), Malcolm McIntosh Prize for Physical Scientist of the Year - Prime Minister’s Prizes for Science (2009), Mercedes-Benz Australian Environmental Research Award - Banksia Foundation (2009), Future Summit Leadership Award - Australian Davos Connection (2009), Young Scientist Prize in Computational Physics - International Union of Pure and Applied Physics (2009).
Research Experience
  • Distinguished Postdoctoral Fellow at the Center for Nanoscale Materials, Argonne National Laboratory (USA, 2003-2005), Violette & Samuel Glasstone Fellow at the University of Oxford (UK) with an Extraordinary Research Fellowship at The Queen’s College (2005-2008). Prior to joining ANU, she was an ARC QEII Fellow, Office of the Chief Executive (OCE) Science Leader, and then Chief Research Scientist in Data61 at CSIRO (2009-2020).
Education
  • BSc (Hons) in Applied Physics from RMIT University in 2000, PhD in Theoretical Condensed Matter Physics from RMIT University in 2003, DSc from RMIT University in 2020.
Background
  • Research interests: Applied machine learning and artificial intelligence, data science and eResearch, computational methods for the physical sciences (including theoretical development and simulation), informatics applied to materials, nanotechnology and health, high performance computing.
Miscellany
  • Heavily engaged in international science diplomacy and research governance, sits on boards and panels for various institutions (particularly in the Global South region).
Co-authors
0 total
Co-authors: 0 (list not available)