# Mary-Anne Williams > Australian roboticist **Wikidata**: [Q27514563](https://www.wikidata.org/wiki/Q27514563) **Wikipedia**: [English](https://en.wikipedia.org/wiki/Mary-Anne_Williams) **Source**: https://4ort.xyz/entity/mary-anne-williams ## Summary Mary-Anne Williams is a prominent Australian roboticist and computer scientist known for her work in knowledge representation and human-robot interaction. She is a Fellow of the Australian Academy of Technology and Engineering and was elected as an AAAI Fellow in 2022 for her significant research contributions and leadership in the artificial intelligence community. ## Biography - Born: 2000 in Sydney (as per source records) - Nationality: Australia - Education: Doctor of Philosophy (University of Sydney); Master of Laws (University of Edinburgh); University of New England; Stanford University - Known for: Contributions to knowledge representation and human-robot interaction - Employer(s): University of New South Wales (UNSW); University of Technology Sydney (2002–2020) - Field(s): Robotics, Computer Science ## Contributions Mary-Anne Williams has made extensive contributions to the fields of robotics and artificial intelligence, specifically focusing on how machines represent knowledge and interact with humans. Her career is marked by a long-term tenure at the University of Technology Sydney (UTS), where she held various roles between 2002 and 2020. During this period, she led research initiatives that bridged the gap between theoretical computer science and practical robotic applications. In 2022, she was recognized as an AAAI Fellow, a prestigious honor awarded for her leadership in the AI community and her specific advancements in human-robot interaction (HRI). Her work is documented across major scientific platforms, including IEEE Xplore and ResearchGate, and she maintains a significant presence in international academic circles. Beyond technical research, her background includes a Master of Laws from the University of Edinburgh, allowing her to contribute to the broader discourse on the implications of AI and robotics. She is currently affiliated with the University of New South Wales (UNSW), where she continues her work in the Australian research sector. ## FAQs ### Q: What are Mary-Anne Williams' primary research interests? A: Her research focuses on computer science and robotics, with a specialized emphasis on knowledge representation and human-robot interaction. She explores how AI systems can effectively process information and engage with human users in social and industrial contexts. ### Q: What major professional honors has Mary-Anne Williams received? A: She is a Fellow of the Australian Academy of Technology and Engineering and was elected as an AAAI Fellow in 2022. The AAAI fellowship was awarded for her significant contributions to knowledge representation and her leadership within the global AI community. ### Q: Which institutions has Mary-Anne Williams been affiliated with? A: She had a long career at the University of Technology Sydney (UTS) from 2002 to 2020. She is currently a staff member at the University of New South Wales (UNSW) and has also studied at the University of Sydney, the University of Edinburgh, and Stanford University. ## Why They Matter Mary-Anne Williams is a central figure in the development of social robotics and autonomous systems in Australia. Her work in knowledge representation is foundational, addressing how robots can maintain and update their understanding of the world to make intelligent decisions. By focusing on human-robot interaction, she has helped define how machines can be integrated into human environments safely and effectively. Her influence is characterized by her dual expertise in technology and law, providing a comprehensive perspective on the evolution of AI. As an AAAI Fellow, she sits among the world's most distinguished AI researchers, representing Australian innovation on the global stage. Her leadership at major institutions like UTS and UNSW has been instrumental in fostering the next generation of roboticists and shaping the standards for AI research and community engagement. ## Notable For * **AAAI Fellow (2022):** Elected for significant contributions to knowledge representation, human-robot interaction, and community leadership. * **Fellow of the Australian Academy of Technology and Engineering:** Recognized for her impact on the Australian technological landscape. * **Interdisciplinary Expertise:** Holds both a PhD in a technical field and a Master of Laws, bridging the gap between AI development and legal frameworks. * **Academic Leadership:** Served in key research and teaching roles at the University of Technology Sydney for nearly two decades (2002–2020). ## Body ### Academic Background Mary-Anne Williams possesses a diverse educational background that spans multiple continents and disciplines. She earned her Doctor of Philosophy (PhD) from the University of Sydney. She further expanded her expertise by obtaining a Master of Laws (LLM) from the University of Edinburgh. Her academic history also includes studies at the University of New England and Stanford University. ### Professional Career and Affiliations Williams has been a mainstay in the Australian higher education sector, particularly in Sydney. Her professional history includes: * **University of Technology Sydney (UTS):** She served as an employer and researcher in various capacities from 2002 through 2020. Specific recorded employment periods include 2015–2018 and 2017–2020. * **University of New South Wales (UNSW):** She is currently a staff member at UNSW, a leading public research university in Australia. ### Research and Community Impact In 2022, the Association for the Advancement of Artificial Intelligence (AAAI) recognized Williams as a Fellow. This distinction was specifically granted for her work in: * **Knowledge Representation:** Developing methods for AI to store and process complex information. * **Human-Robot Interaction (HRI):** Improving the ways in which humans and autonomous systems communicate and collaborate. * **Community Leadership:** Serving as a prominent figure and mentor within the international AI research community. ### Digital Presence and Identifiers Williams is identified in global research databases through several key identifiers: * **ORCID:** 0000-0002-1047-0503 * **ISNI:** 0000000116864709 * **VIAF ID:** 92528257 * **Twitter:** @SwizzleFish (active since April 2009) * **IEEE Xplore Author ID:** 37588020400 ## References 1. BnF authorities 2. Trove 3. [Source](https://www.unsw.edu.au/staff/mary-anne-williams) 4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1047-0503/employment/1492077) 5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1047-0503/employment/13448294) 6. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1047-0503/employment/1492080) 7. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/) 8. CiNii Research 9. Virtual International Authority File 10. IdRef