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Victorians were once again recognised in the annual Women in AI (WAI) awards for their achievements in emerging technology.

The WAI Awards 2023 plays a crucial role in enhancing the reputation and visibility of women in AI within the Asia-Pacific region. It also offers a platform to talented women who have started their own businesses with AI-based products. Among the winners were these inspiring Victorians from across the public and private sectors. Taking out the awards in Education, Sports, Mining and Infrastructure. Congratulations to them all!

🏆 AI in Education Dr Wafa Johal A Senior Lecturer at the University of Melbourne and ARC DECRA Fellow, Dr Johal's research is in Human-Robot Interaction, designing and developing computational solutions to make robots useful and acceptable by end users.

Dr Wafa Johal (L) and Roy Johal (R) at the Women in AI Awards, Source LinkedIn Post June 2023

"Humbled and honoured to have received the Women in AI Award in the Education category.Thanks to my collaborators and teammates.

I am also grateful that my husband Roy Johal was with me for this moment - his support helps me tremendously; he pushes me and challenges me to take risks and try new things, and he helps me to learn from my failures. #grateful

Education is a pillar of our society and we need to push for a positive use of AI for and by learners. In the ChatGPT era, in which AI can be used to cheat a lot of exams, I am happy that my team and I are doing research on how we could leverage AI and robotics to build interactive adaptive experience for our students."

Dr Wafa Johal, University of Melbourne

🏆 AI in Sport - Alice Sweeting A Lecturer in Sports Science and Analytics, Alice also completed her PhD in 2016 which focused on tradio-frequency tracking and data mining techniques to profile the movement patterns of elite and junior-elite netball athletes.

"Congratulations to all winners and finalists, including my co-finalist Elisa! Thank you to Women in AI and the sponsors for making these Awards possible. Thanks to all my colleagues, collaborators, family and students! Special thanks to Professor Di Cook, for nominating and encouraging me to step outside my comfort zone."

Alice Sweeting, Victoria University

🏆 AI in Mining - Malgorzata Sikora As Data Science Lead, Malgorzata is a creative and innovative data scientist passionate about the mining industry, and aims to utilise data to help build strong, inclusive, and sustainable businesses.

"I’m deeply honoured to win this prestigious award. It is a testament to the hard work, dedication, and passion I have poured into my AI journey. This recognition motivates me to push boundaries, drive innovation, and empower others to make a lasting impact in AI."

Malgorzata Sikora, Newcrest Mining

🏆 AI in Infrastructure - Orla Glynn As Executive - AI, Reporting, Insights and Automation Configuration at Telstra, Orla has a wealth of experience in implementing intricate strategic roadmaps and transformation programs. Orla strives to make innovation a deliberate process.

"Thrilled to be a WAI Awards winner! Culturally diverse and adaptive teams are pivotal to our success, fostering inclusivity and leveraging diverse perspectives that drive innovation and problem-solving. This recognition highlights the significance of diverse teams in advancing AI and achieving exceptional results."

Orla Glynn , Telstra

About the Women in AI Awards The Women in AI (WAI) is a non-profit organisation striving for inclusive AI that positively impacts society worldwide. As a community-based effort, they aim to empower, educate, and foster active collaboration through various channels such as education, research, events, and blogging.

Nominations are sought from inspiring women who are working, leading, creating or demonstrating innovation in AI in the following sectors: Industry, Government, Universities, Research institutes, Startups or NGOs

The WAI Award categories recognise and honour achievements based on the following AI technologies:

Speech, image and video recognition Autonomous objects Natural language processing Conversational agents Prescriptive modelling Virtual and augmented creativity Smart automation Advanced simulation Data monitoring Complex analytics and predictions Robotics Machine-learning Additive manufacturing. IoT <div id="comp-l629cavu" class="KcpHeO tz5f0K comp-l629cavu wixui-rich-text" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; border: 0px; margin: 19px 0px 10px calc((100% - 980px) * 0.5); outline: 0px; padding: 0px; vertical-align: baseline; pointer-events: none; min-height: var(--min-height); min-width: var(--min-width); overflow-wrap: break-word; position: relative; left: 62px; grid-area: 3 / 1 / 4 / 2; place-self: start; width: 158px; height: auto; font-family: Arial, Helvetica, sans-serif; font-size: 10px;" data-testid="richTextElement"> <h6 class="font_6 wixui-rich-text__text" style="background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline; pointer-events: auto; font-size: 27px; color: rgb(var(--color_19)); letter-spacing: 0em;">

Women in AI Advisory Group Australia, Source Women in AI

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