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Mukesh Prasad

Mukesh Prasad

Dr Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukes’s research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He has written more than 120 research papers. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer at the Taiwan Semiconductor Manufacturing Company. Mukesh received his PhD from the Department of Computer Science at the National Chiao Tung University in Taiwan.

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1.
Intelligent Techniques for Cyber-Physical Systems
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Recent Advances in Paediatric Anaesthesia27 %
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15 Jul 2025
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Computational Intelligence Aided Systems for Healthcare Domain32 %
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4.
Steps to Successful Regional Anesthesia21 %
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24 Oct 2024
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5.
Intelligent Techniques for Cyber-Physical Systems48 %
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20 Oct 2023
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Computational Intelligence Aided Systems for Healthcare Domain
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14 Jun 2023
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Intelligent Vision and Computing5 % NR
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29 Jan 2026
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Intelligent Vision and Computing5 % NR
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Intelligent Vision and Computing5 % NR
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03 Feb 2026
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Data Science and Applications9 % NR
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20 May 2025
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Data Science and Applications6 % NR
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22 Jun 2025
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Data Science and Applications6 % NR
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21 Jul 2025
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Data Science and ApplicationsNR
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Data Science and Applications9 % NR
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06 Jun 2025
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Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023)9 % NR
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Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023)9 % NR
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Data Science and ApplicationsNR
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Data Science and ApplicationsNR
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Data Science and ApplicationsNR
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Data Science and ApplicationsNR
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16 Feb 2024
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