Skip to content

Dr Tianning Li

Dr Tianning Li
Name Tianning Li
Position Lecturer (Computing)
Section School of Mathematics, Physics and Computing
Office D218
Location Toowoomba Campus
Phone +61 7 4631 2130
Extension 2130
Email
Qualifications BISM Nanjing , MAccFin Adelaide , PhD USQ

Research interests
Machine Learning Algorithms, Signal Processing, EEG Research.

Currently teaching courses/programs
CSC8003 Machine Learning
CSC2410 Computational Thinking with Python
CSC2407 Introduction to Software Engineering
CSC5020 Foundations of Programming
CSC1401 Foundation Programming
CSC1402 Foundation Computing



Publications in ePrints

Tawhid, Md. Nurul Ahad and Siuly, SiulyORCID: https://orcid.org/0000-0003-2491-0546 and Li, TianningORCID: https://orcid.org/0000-0001-5142-8654 (2022) A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG. IEEE Transactions on Instrumentation and Measurement, 71:4010211. pp. 1-11. ISSN 0018-9456

Schmierer, Thomas and Li, TianningORCID: https://orcid.org/0000-0001-5142-8654 and Li, YanORCID: https://orcid.org/0000-0002-4694-4926 (2022) A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia. Health Information Science and Systems, 10 (1):10. pp. 1-14.

Ra, Jee Sook and Li, TianningORCID: https://orcid.org/0000-0001-5142-8654 and Li, YanORCID: https://orcid.org/0000-0002-4694-4926 (2021) A novel permutation entropy-based EEG channel selection for improving epileptic seizure prediction. Sensors, 21 (23):7972. ISSN 1424-8220

Ra, Jee Sook and Li, TianningORCID: https://orcid.org/0000-0001-5142-8654 and Li, YanORCID: https://orcid.org/0000-0002-4694-4926 (2021) A novel spectral entropy-based index for assessing the depth of anaesthesia. Brain Informatics, 8 (1):10. ISSN 2198-4026

Li, Tianning ORCID: https://orcid.org/0000-0001-5142-8654 and Sivakumar, Prashanth and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X (2019) Anesthesia assessment based on ICA permutation entropy analysis of two-channel EEG signals. In: 12th International Conference on Brain Informatics (BI 2019), 13-15 Dec 2019, Haikou, Hainan, China.

View full listing in ePrints