Artificial Intelligence Professor announced as IEEE Fellow

Professor Bing Xue from Te Herenga Waka—Victoria University of Wellington has been recognised for her contributions and achievements in the areas of AI and machine learning.

Bing Xue

Professor Bing Xue's recent appointment as a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) recognises over a decade of dedication to research, community contribution, and accomplishment to evolutionary deep learning. Professor Xue works in the areas of artificial intelligence, machine learning, and evolutionary computation.

“Being awarded an IEEE Fellowship means a lot to me, and I’m incredibly excited and grateful for this recognition. It marks a pivotal milestone in my career journey and validates the dedication and hard work I’ve poured into my endeavours.”

The IEEE Fellowship recognises ‘unusual distinction’ and an ‘outstanding record of accomplishments’ that ‘bring the realisation of significant value to society’. As one of the primary associations in the field, the IEEE publishes over 200 academic journals and magazines. An IEEE Fellow is the highest grade of membership and is recognised internationally as a prestigious honour.

Professor Xue is a Professor of Artificial Intelligence at Te Herenga Waka—Victoria University of Wellington, as well as Deputy Head of the School of Engineering and Computer Sciences, and Deputy Director of the Centre for Data Science and Artificial Intelligence. With over 400 peer-reviewed publications and 151,000 citations for her work, Professor Xue’s contribution to the field is undeniable.

In 2010, Professor Xue began her PhD at Victoria University of Wellington. She recognises the longstanding support of her colleagues and students throughout her career as crucial to her achievements. She was nominated as an IEEE Fellow by Professor Mengjie Zhang, the Director of the Centre for Data Science and Artificial Intelligence and frequent academic collaborator. Professor Zhang was also awarded the same Fellowship in 2019.

As artificial intelligence becomes more prominent in real-world applications, Professor Xue’s work focuses on how AI and machine learning could help address current challenges in areas like aquaculture, agriculture, healthcare, and environmental sustainability.

"I aspire to not only push the boundaries of scientific knowledge but to also offer practical solutions that can have a positive impact on society, the environment, and various sectors of the economy."

Other than recognising Professor Xue’s contributions to her field, the fellowship also grants her an avenue to connect with other academics from around the world.

“This fellowship provides a unique platform for networking and collaboration, enabling me to deepen my research and pursue impactful projects.”

Read more about the IEEE Fellowship here: https://www.ieee.org/membership/fellows/index.html