2020 applicants

Yiyuan Han

Graduate Laboratory Assistant
School of Computer Science and Electronic Engineering (CSEE)
Postgraduate Research Student
School of Computer Science and Electronic Engineering
 Yiyuan Han



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 pain detection. 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. GLA Teaching Modules: CE142 Mathematics for Engineers CE152 Object-oriented Programming CE203 Application Programming


  • BEng Southern University of Science and Technology (2019)

Research and professional activities


Development of a novel approach to neurophysiological pain assessment in unresponsive patients

Improvements in intensive care have led to an increasing number of patients surviving traumatic brain injuries. Due to their injuries these patients may be unable to self-report pain. Vital signs are not a reliable primary indicator of pain and methods such as functional magnetic resonance imaging cannot be applied at the bedside. Thus, the goal of this project is the development of a novel method based on the online analysis of electroencephalography (EEG) data to determine if a patient is ex

Supervisor: Sebastian Halder , Elia Valentini




Colchester Campus

Working pattern:

If you have any questions about me, please email me to book an appointment.