ASSOCIATE PROF. IR. DR. TING HUA NONG
Department of Biomedical Engineering
Faculty of Engineering
tinghnum.edu.myView CV | |
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Biography | |
Ir. Dr. TING Hua Nong obtained his Bachelor, Master and PhD degree from University of Technology Malaysia, Malaysia. He is a Chartered Engineer of Engineering Council, UK and a member of the Institute of Engineering and Technology (IET). He is a Professional Engineer (Ir) with the Board of Engineers Malaysia. He is currently an Associate Professor at the Department of Biomedical Engineering, Faculty of Engineering, University of Malaya. He is a Visiting Professor at Jining Medical University, Shandong Province, China. His research expertise and areas of research are speech analysis and processing and recognition, baby cry recognition, Artificial Intelligence, deep learning, dielectric measurement and electromagnetics. He has completed supervision of 6 PhD students, 3 Master students by research and 19 Master students by coursework. Currently, he is supervising 3 PhD students and one Master student. He has published 25 ISI-indexed and Scopus-indexed journal articles and 30 conference proceedings. He has obtained several internal research grants of University of Malaya such as Short Term Grant (PGP), University of Malaya Research Grant (UMRG), Research University (RU) grant and external research grants such as eScience fund, UKM internal grant. He was involved as the technical programme committee and organizing committee in more than 10 national and international conferences. He was actively involved as reviewer for more than 15 journals and 110 conferences, internal and external research grant proposals and postgraduate theses. He was a member of the Publicity Committee for International Federation for Medical and Biological Engineering (IFMBE) in 2018-2022. He was member of the Asia Pacific Working Group, IFMBE in 2015-2018. He was a recipient of the IFBME Asia Pacific Research Networking Fellowship in 2012.
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Baby Cry Recognition Using Deep Learning |
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Study of permittivity of urine for bladder related and preeclampsia disease |
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Study On Acoustic Property Of Malay Speech Sounds In Correlation To Speech Confusion And Improvement In Mel-frequency Ceptral Coefficients |
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This information is generated from Research Grant Management System |
Baby cry recognition based on WOA-VMD and an improved Dempster-Shafer evidence theory
Baby cry recognition based on SLGAN model data generation and deep feature fusion
Baby cry recognition based on SLGAN model data generation and deep feature fusion
Baby cry recognition based on WOA-VMD and an improved Dempster-Shafer evidence theory
Conference Programme and Abstract Book, 5th Kuala Lumpur International Conference on Biomedical Engineering (Biomed 2011)
4th Kuala Lumpur International Conference on Biomedical Engineering 2008
Baby Cry Recognition Using Deep Neural Networks
Dielectric Properties of Urine for Diabetes and Chronic Kidney Disease between 0.2 GHz and 50 GHz
Fuzzy Based Multi-Source Data Fusion for Children�s Age Estimation
Formant Frequencies of Normal Malaysian Indian Young Adults in Sustained Vowels