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Chin-Teng Lin
Distinguished Professor
School of Computer Science
University Of Technology Sydney;Australian AI Institute, University Of Technology Sydney;GrapheneX-UTS Human-Centric AI Centre, University Of Technology Sydney;Computational Intelligence and Brain Computer Interface Lab, University Of Technology Sydney
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个人简介
Distinguished Professor Chin-Teng Lin is a leading researcher in artificial intelligence (AI) and brain computer interfaces (BCI), developing systems of brain information processing and communication with machines.
Lin studies the brain and behaviours, the physiological changes that occur when human cognitive functions are working, and ways to combine human physiological information with artificial intelligence to develop monitoring and feedback systems.
He wants to improve the flow of information from humans to robots, so humans can make better decisions and respond to complex, stressful situations, and so that robots can better understand the status and intention of humans to augment human-machine cooperation. This is an emerging trend identified in the fifth Industrial Revolution to deliver a common good for humanity.
Lin was the inventor of fuzzy neural networks (FNN) in 1992, introducing neural-network learning into fuzzy systems and incorporating human-like reasoning into neural networks. Since then, there have been about 500,000 articles about FNN published online.
Lin has since developed a series of FNN models with various learning capabilities suitable for different learning environments, as well as targets on multi-agent reinforcement learning for multi-drone coordination and cybersecurity.
Lin studies the brain and behaviours, the physiological changes that occur when human cognitive functions are working, and ways to combine human physiological information with artificial intelligence to develop monitoring and feedback systems.
He wants to improve the flow of information from humans to robots, so humans can make better decisions and respond to complex, stressful situations, and so that robots can better understand the status and intention of humans to augment human-machine cooperation. This is an emerging trend identified in the fifth Industrial Revolution to deliver a common good for humanity.
Lin was the inventor of fuzzy neural networks (FNN) in 1992, introducing neural-network learning into fuzzy systems and incorporating human-like reasoning into neural networks. Since then, there have been about 500,000 articles about FNN published online.
Lin has since developed a series of FNN models with various learning capabilities suitable for different learning environments, as well as targets on multi-agent reinforcement learning for multi-drone coordination and cybersecurity.
研究兴趣
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Scientific reportsno. 1 (2024): 13217-13217
JOURNAL OF NEURAL ENGINEERINGno. 2 (2024)
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSno. 2 (2024): 729-740
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCEno. 99 (2024): 1-8
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGYno. 99 (2024): 180-190
ADVANCES IN ARTIFICIAL INTELLIGENCE, AI 2023, PT II (2024): 376-386
IEEE TRANSACTIONS ON FUZZY SYSTEMSno. 1 (2024): 203-213
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