报告题目：
(1) Acoustics research at the
(2) Architectural and environmental acoustics going soft and multi-modal
报 告 人：Francis F. Li
报告时间：
报告地点：浙江大学西溪校区教学主楼103
联系人：翟国庆（88273343）
欢迎各位老师、同学参加！
报告人简介：
Dr. Francis Li (born in 1963) obtained a BEng in Electronics and embarked on an academic career in 1986 at Shanghai University, where he taught a number of key modules in the field of Electrical/Electronics Engineering, carried out research in diverse areas including signal processing, control theory, acoustics, developed an Electroacoustic Engineering short course and was promoted to Head of Electrical Engineering Division. He moved to the UK in 1995, completed an MPhil (Brighton) in computational electromagnetism and a PhD (Salford) in the areas of architectural acoustics, neuro-computing, artificial intelligence and signal processing. Appointed Senior Lecturer in computing at
Francis has a broad horizon of research interests. Early work included audio and bio-medical signal processing, industrial process control, condition monitoring, embedded system, non-linear system modelling, general computing and computational electromagnetism. Since 1997, he has been more focused on architectural and environmental acoustics and the use of soft-computing & intelligent signal processing techniques to solve audio and acoustics related problems, in particular, sensing, processing, extraction, recognition and re-use of information contained in speech, music, event sound and acoustic signals for various applications - he refers to this area as Acoustic Informatics. In addition he has always maintained a strong interest and competent hands-on skills in computing, intelligent systems, data communications and embedded systems.
Francis has recently taken part in two EPSRC (Engineering and Physical Science Research Council) funded projects all concerned about concert hall and auditorium acoustics. He is currently funded by Leverhulme Trust to study the use of purpose synthesized music as probe stimuli to measure acoustic transfer functions in concert halls; Her Majesty’s Government Communications Centre to research into statistical features of speech signals; EU Framework Program 7 to develop interactive ambisonic audio for future broadcasting applications. He is actively seeking funding to look into automated environmental noise classification and monitoring.