Localization based on standard wireless LAN infrastructure using MIMO-OFDM channel state information. - Tanee Demeechai; Pratana Kukieattikool; Thang Ngo; Tae-Gyu Chang (EURASIP J. Wirel. Commun. Netw., 2016)

A Comparative Severity Assessment of Impaired Balance due to Cerebellar Ataxia using Regression Models. - Thang Ngo; Lahiru Laminda Abeysekara; Pubudu N. Pathirana; Malcolm Horne; Laura Power; David J. Szmulewicz (EMBC, 2020)

Recurrence Quantification Analysis for Human Activity Recognition. - Thang Ngo; Benjamin T. Champion; Matthew A. Joordens; Andrew Price; David Morton; Pubudu N. Pathirana (EMBC, 2020)

Diagnosis Cerebellar Ataxia using Deep Learning with Time Series Transformed Image. - Thang Ngo; Dinh C. Nguyen; Pubudu N. Pathirana; Malcolm Horne; Laura Power; David J. Szmulewicz (EMBC, 2021)

Balance Deficits due to Cerebellar Ataxia: A Machine Learning and Cloud-Based Approach. - Thang Ngo; Pubudu N. Pathirana; Malcolm K. Horne; Laura Power; David J. Szmulewicz; Sarah C. Milne; Louise A. Corben; Melissa Roberts; Martin B. Delatycki (IEEE Trans. Biomed. Eng., 2021)

Blockchained Federated Learning for Privacy and Security Preservation: Practical Example of Diagnosing Cerebellar Ataxia. - Thang Ngo; Dinh C. Nguyen; Pubudu N. Pathirana; Louise A. Corben; Malcolm Horne; David J. Szmulewicz (EMBC, 2022)

A Multi-Activity Fusion Approach for Gender Recognition based on Human Activity. - Himesh Kahanda Koralege; Thang Ngo; Pubudu N. Pathirana; Bahareh Nakisa (EMBC, 2023)

Modified Recurrence Quantification Analysis for Objective Assessment of Cerebellar Ataxia. - Thang Ngo; Lahiru Laminda Abeysekara; Pubudu N. Pathirana; Louise A. Corben; Martin B. Delatycki; Malcolm Horne; David J. Szmulewicz; Melissa Roberts; Sarah C. Milne (EMBC, 2023)

Technological Evolution in the Instrumentation of Ataxia Severity Measurement. - Thang Ngo; Pubudu N. Pathirana; Malcolm K. Horne; Louise A. Corben; Ian H. Harding; David J. Szmulewicz (IEEE Access, 2023)

Innovative Approaches to Gender Classification through Unsupervised Machine Learning and Multi-Activity Fusion. - Himesh Kahanda Koralege; Thang Ngo; Pubudu N. Pathirana; Bahareh Nakisa (EMBC, 2024)