Introduction
Graduated from Centre for Digital Music (C4DM), Queen Mary University of London, Dr.
Shengchen Li has focused on research of auditory intelligence for about more than ten
years. His expertise ranges from computational musicology to acoustic signal processing
with some attempts on hardware implementation of deep learning algorithms. Shengchen
has hosted a NSFC (Natural Science Foundation of China) project named Acoustic
Scenes Identification based on Domain Adaptation. Shengchen is also a member of
task force on Speech Dialogue and Auditory Processing, China Computer Federation.
Serving as an associate professor in Xi'an Jiaotong-Liverpool University, Shengchen leads
a research group of machine learning and data analytics in School of Advaced Technology (SAT).
He is currently the module leader of INT306 (Computer Auditory Systems) and INT104 (Artificial
Intelligence). Shengchen is a good student team leader. His research team has won high
ranks at the DCASE (Detection and Classification of Acoustic Scenes and Events) data
challenge. Shengchen is recruiting new PhD students / RAs who are interested in auditory
intelligence research throughout the academic year. From case to case, there might be
scholarship available for PhD applicants.
For SURF application please refer to
RA / PhD Recruitment.
You may want to visit my official page as well.
