RECOGNISING THOSE WHO HAVE MADE SIGNIFICANT CONTRIBUTIONS TO AUSTRALIA'S ICT SECTOR AND ACS.

ACS Honorary Life Member
A member that is recognised by ACS for their outstanding contribution may be elected as an Honorary Life Member.
For information on the eligibility criteria, visit ACS Guidelines for Membership.
ACS Fellow
A Fellow of ACS is a person who has made a distinguished contribution to the field of ICT in Australia and is a member of the professional division of ACS.
For information on ACS's Fellows Membership Grade, please refer to ACS Guidelines for Membership.
For Fellow Nominations, please click the links below:
For all inquiries about ACS recognition awards, please send an email to acsrecognition@acs.org.au
HALL OF FAME
- Honorary Life Members 2020-2029
- Honorary Life Members 2010-2019
- Honorary Life Members 2000-2009
- Honorary Life Members 1977-1999
- Fellows 2023-2024
- Fellows 2021-2022
- Fellows 2019-2020
- Fellows 2017-2018
- Fellows 2015-2016
- Fellows 2013-2014
- Fellows 2011-2012
- Fellows 2009-2010
- Fellows 2007-2008
- Fellows 2005-2006
- Fellows 2003-2004
- Fellows 2001-2002
- Fellows 1999-2000
- Fellows 1997-1998
- Fellows 1995-1996
- Fellows 1993-1994
- Fellows 1991-1992
- Fellows 1976-1990
ACS Fellows
2025 - 2026

Dr Marilyn Wells
2025
Dr Marilyn Wells has made a distinguished contribution to ICT by overcoming the challenges and demonstrating the benefits and practicality of providing localised face-to-face teaching and learning opportunities to tertiary students of ICT courses who lived in regional and remote areas. Her approach included industry integrated learning and professionals, which provided visibility of industry expectations, career opportunities, and employment outcomes. This increased student enrolments, engagement, and retention. As the Foundation Head of the College of ICT at Central Queensland University, she was instrumental in making it the most geographically diverse College/School of ICT in Australia. She was also a driving force in the restructuring of the Centre for Machine Learning, Network and Educational Technology (CMLNet) at CQUniversity which created opportunities for students and academics to work with industry partners, leading to global recognition for their research capability and output.