Yiyuan Han

Biography

Yiyuan Han is currently a PhD student at BCI-NE Lab (entry year: 2019), whose research interests mainly include brain-computer interface, biomedical signal processing and the neural signature of pain. Yiyuan obtained her B. Eng. in Information Engineering in 2019 from Southern University of Science and Technology in China as Magna Cum Laude. During her undergraduate study, she was working on human speech perception and acoustic signal processing under the supervision of Dr Fei Chen. In October 2019, she started her PhD in Computer Science at the University of Essex, under the supervision of Dr Sebastian Halder and Dr Elia Valentini. Now she is investigating the novel approach to assess pain in unresponsive patients based on electrophysiological signals, which is aiming at a pain assessment system based on transfer learning at bedside. GLA Teaching Modules: - Mathematics: CE142 Mathematics for Electronic & Telecommunications (20-21, 21-22) - Programming: (Python) CE151 Introduction to Programming (21-22) (JAVA) CE152 Object-Oriented Programming (19-20, 20-21) CE203 Application Programming (19-20, 20-21, 21-22) CE303 Advanced Programming (21-22) - Theory: CE235 Computer Security (20-21) CE314 Natural Language Engineering (21-22)

Qualifications

• BEng Southern University of Science and Technology (2019)

Thesis