Five papers from Data Science group members have been accepted for oral presentation at EMBC 2020.
Congratulations to Kostantinos Patlatzoglou, Yuzhou Lin, Lam Pham, Liqun Wu, and Robin Ayling who had their papers accepted at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) in Montreal, Canada this coming July.
Kostantinos, a PhD student supervised by Dr Srivas Chennu, submitted a paper titled ‘Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural Networks’.
For his PhD, Yuzhou is supervised by Dr Caroline Li, Dr Palani Ramaswamy and Prof. Philippe De Wilde. Their accepted paper is titled ‘A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet’.
Lam, whose PhD supervisors are Dr Palani Ramaswamy and Prof Ian McLoughlin, submitted a paper titled ‘Robust Deep Learning Framework for Predicting Respiratory Anomalies and Diseases’.
Liqun Wu, whose PhD supervisors are Dr Caroline Li and Prof. Samuele Marcora, submitted a paper titled ‘Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds’.
Robin, who recently joined the Data Science group after his PhD supervisor Dr Colin Johnson moved to Nottingham, submitted the paper ‘Pose Estimation from Electromyographical Data using Convolutional Neural Networks’. Robin’s PhD is now supervised by Dr Caroline Li and Dr Palani Ramaswamy.
Given the current situation with COVID-19 around the world, the organizing committee of EMBC 2020 will begin its efforts to implement a July 2020 virtual conference delivery plan, in lieu of a face-2-face meeting in Montreal.
Image credits: EMBC conference 2020