We bring together insights from artificial intelligence and brain-computer interface to deepen our understanding of intelligence, cognition, and their associations with psychiatric disorders. We aspire to uncover valuable insights that could contribute to personalized treatment of neuro-diseases (e.g., epilepsy), and advance the development of more neuro-inspired artificial intelligence systems (e.g., multi-modal AI).
We organize Reading Group, AI talks, and AI competitions that empower university students to embrace problem-solving, strive for excellence, and ignite their passion for programming, AI, data science, and biomedical innovation. Through technology-driven AI talks and competitions, we connect bright minds and nurture the next generation of tech talent, shaping the future of innovation.
We develop efficient time-series models and softwares for solar energy prediction, enhances seizure prediction and epileptogenic zone localization to support surgical planning, and refines diagnostic methodologies for sleep disorders by decoding brain signals. Furthermore, we develop AI models to formulate climate policies that optimize environmental, economic, and social trade-offs.
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Sim Kuan GOH
Kheng Seang LIM | Silei FONG | Chow Khuen CHAN | Tanka TANG | Vincent WOON
Jia Hong PUAH | Yuin Torng YEW | Seohyun AHN | Yong Ler LAI
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