Profile
Dr Kenneth Li-minn Ang received his BEng (Hons) and PhD degrees from Edith Cowan University in Australia. He is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC).
Dr Ang has worked in Australian and UK universities including Monash University, University of Nottingham, ECU, CSU and Griffith University. Prior to joining USC, he was an Associate Professor at Griffith University.
His research interests are in computer, electrical and systems engineering including Internet of Things, intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, health and defence.
Dr Ang has published three research books and over 180 papers in journals, book chapters and international refereed conferences and has achieved over 1.8 million in grant income from government and industry including 3 Category 1 Research Grants. He has supervised or co-supervised over 20 HDR including 12 PhD students to completion. He serves on the editorial board or committees of several journals and international conferences. He is a senior member of the IEEE and a Fellow of the Higher Education Academy (UK).
Professional memberships
- IEEE Senior member
- HEA Fellow
Research areas
- application-specific Internet of Things, wireless sensor-based systems
- intelligent systems, machine learning, data analytics
- multimedia and visual information processing
- reconfigurable computing and embedded systems
- innovative technologies and development of real-world applications and computational systems
Teaching areas
Program coordinator
Publications
Selected recent publications 2018-2020
M.A. Rahman, L-M. Ang, K.P. Seng, “Data convexity and parameter independent clustering for biomedical datasets”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020 (Article in press).
N.J. Shoumy, L-M. Ang, K.P. Seng, D.M.M. Rahaman, T. Zia, “Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals”, Journal of Network and Computer Applications, vol. 149, 2020.
M.A. Rahman, L-M. Ang, K.P. Seng, “Clustering biomedical and gene expression datasets with kernel density and unique neighborhood set based vein detection”, Information Systems, vol. 91, pp. 1-7, 2020.
L-M. Ang, K.P. Seng, “Application specific Internet of Things (ASIoTs): Taxonomy, applications, use case and future directions”, IEEE Access, vol. 7, pp. 56577-56590, 2019.
K.P. Seng, L-M. Ang, A.W.C. Liew, J. Gao, Multimodal Analytics for Next-Generation Big Data Technologies and Applications, Springer International Publishing, 2019.
K.P. Seng, L-M. Ang, “Multimodal Emotion and Sentiment Modeling From Unstructured Big Data: Challenges, Architecture, & Techniques”, IEEE Access, vol. 7, pp. 90982-90998, 2019.
J.C. Broster, J.E. Pratley, R.H.L. Ip, L-M. Ang, K.P. Seng, “A quarter of a century of monitoring herbicide resistance in Lolium rigidum in Australia”, Crop and Pasture Science, vol. 70, no. 3, pp. 283-293, 2019.
A.M. Zungeru, J. Gaboitaolelwe, B. Diarra, J.M. Chuma, L-M. Ang, L. Kolobe, M. David, I. Zibani, “A secured smart home switching system based on wireless communications and self-energy harvesting”, IEEE Access, pp. 25063-25085, 2019.
J.C. Broster, J.E. Pratley, R.H.L. Ip, L-M. Ang, K.P. Seng, “Cropping practices influence incidence of herbicide resistance in annual ryegrass (Lolium rigidum) in Australia”, Crop and Pasture Science, vol. 70, no. 1, pp. 77-84, 2019.
K.P. Seng, L-M. Ang, “A big data layered architecture and functional units for the multimedia Internet of Things”, IEEE Transactions on Multi-Scale Computing Systems, vol. 4, no. 4, pp. 500-512, 2018.
L-M. Ang, K.P. Seng, G.K. Ijemaru, A.M. Zungeru, “Deployment of IoV for smart cities: applications, architecture, and challenges”, IEEE Access, 6473-6492, 2018.
K.P. Seng, L-M. Ang, L.M. Schmidtke, S.Y. Rogiers, “Computer vision and machine learning for viticulture technology”, IEEE Access, vol. 6, pp. 67494-67510, 2018.
M.A. Rahman, L-M. Ang, K.P. Seng, “Unique neighborhood set parameter independent density-based clustering with outlier detection”, IEEE Access, vol. 6, pp. 44707-44717, 2018.
R.H.L. Ip, L-M. Ang, K.P. Seng, J.C. Broster, J.E. Pratley, “Big data and machine learning for crop protection”, Computers and Electronics in Agriculture, vol. 151, pp. 376-383, 2018.
O.K. Akputu, K.P. Seng, Y. Lee, L-M. Ang, “Emotion recognition using multiple kernel learning toward e-learning applications”, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 14, no. 1, pp. 1-20, 2018.
Professor Ken Ang's specialist areas of knowledge include computer, electrical and systems engineering. intelligent systems and data analytics. wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, health and defence.