
Taiyu Zhu
@taiyuzhu
Novo Nordisk-Oxford Postdoctoral Research Fellow @UniofOxford | Alumni, President’s PhD Scholar @imperialcollege
ID: 1206902264654434304
17-12-2019 11:41:45
19 Tweet
44 Followers
62 Following

Huge congratulations to my students Taiyu Zhu and Prateek Tripathi for being awarded the prize for outstanding achievement in their MSc degree! Imperial EEE ImperialCBIT


Congratulations to my student Taiyu Zhu and all the new Imperial College London President’s PhD Scholars! All the best on what will be an amazing #PhD journey! #CAS Imperial EEE


Welcome to read and have feedback to my student Taiyu's new work 'Deep Learning for Diabetes: A Systematic Review' in n IEEE Journal of Biomedical and Health Informatics ieeexplore.ieee.org/abstract/docum… Pantelis Georgiou Pau Herrero Viñas

Glad bring u to our paper "IoMT-Enabled Real-time Blood Glucose Prediction with Deep Learning and Edge Computing" on IEEE IoT Journal, proposing an attention-based evidential RNN & IoMT-enabled wearable device for BG prediction ieeexplore.ieee.org/document/96818… Pau Herrero Viñas Pantelis Georgiou

Huge Congratulations to my student Taiyu Zhu on receiving the Imperial EEE Stylianos Kalaitzis PhD Award for his work on ‘Deep Learning in Diabetes Management’! 🎉👏 Taiyu is also Imperial College London Presidents Scholar. Work in collaboration with Ken (Kezhi) Li Pau Herrero Viñas ImperialCBIT


Read about our latest work on ‘Enhancing self-management in type 1 #diabetes with #wearables and deep-learning’ published in npj Digital Medicine! Taiyu Zhu Ken (Kezhi) Li Chukwuma Uduku Pau Herrero Viñas Nick Oliver Imperial EEE Imperial Medicine ImperialCBIT


Excited to be one of the finalists in the #DRA2022 and present my research “Deep Learning in Diabetes Management”. Special thanks to my PhD supervisors Pantelis Georgiou Ken (Kezhi) Li and colleagues at ImperialCBIT Imperial EEE Imperial College London #EngSci Doctoral Researcher Awards


Huge congratulations to my PhD student Taiyu Zhu for defending his thesis today. His research advances ‘Deep Learning in Diabetes Management’. Work co-supervised with Ken (Kezhi) Li. Many thanks to Jorge Bondia & Krystian Mikolajczyk for examining!





Excited to share our latest work on #deeplearning for #diabetes: 1️⃣GluGAN: Generating synthetic glucose data with GANs: ieeexplore.ieee.org/abstract/docum… 2️⃣Offline deep RL for improved glucose control & reduced clinical trials: ieeexplore.ieee.org/abstract/docum… Ken (Kezhi) Li Pau Herrero Viñas Pantelis Georgiou


