WABO Appoints Speech-Cognition Researcher Jianwu Dang as Joint Scientist
Summary
WABO appointed Jianwu Dang to its Scientific Advisory Board and named him joint scientist. Dang, a researcher at the Shenzhen Institutes of Advanced Technology and a distinguished professor at Shenzhen University of Advanced Technology, will support task-conditioned intent models that combine EEG, EMG, speech, text and task context; WABO said the work is not aimed at context-free mind reading.
Why it matters
The appointment points to a multimodal route for non-invasive intent decoding, with speech cognition used to ground models that must remain stable across users and tasks.
BCIwiki (bciwiki.com) — WABO (瓦博科技) announced on August 14, 2026 that Professor Jianwu Dang, a researcher at the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences and a Distinguished Professor at Shenzhen University of Advanced Technology, has joined its Scientific Advisory Board as Joint Scientist. The company said the collaboration will focus on the cognitive mechanisms, computational representations and multimodal signals behind human intent.Dang’s research spans speech science, speech information processing, dialogue understanding and the neural mechanisms of speech cognition. He previously served as chief scientist of a National Basic Research Program of China (973 Program) project and as a professor at the Japan Advanced Institute of Science and Technology. WABO said he will advise its research strategy across four connected areas, namely cognitive mechanisms and computational representations of neural intent, multimodal modeling across EEG, EMG, speech, text and task context, generalization across users and tasks with uncertainty handling and safe rejection, and interfaces that translate high-level human intent into controlled machine action.The company stressed that the goal is not context-free mind reading. WABO is developing task-conditioned neural intent models that interpret choices, confirmations, corrections, stops and takeovers within explicit task boundaries, and said Dang’s experience in speech cognition and multimodal intent research will help connect the engineering program with deeper cognitive evidence.
Compiled by BCIwiki from public sources