Dr Saisakul Chernbumroong

Dr Saisakul Chernbumroong

Institute of Cancer and Genomic Sciences
Research Fellow in AI/Machine Learning

Contact details

Address
Institute of Cancer and Genomic Sciences
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Saisakul Chernbumroong has substantial experience in data analysis and modelling in medical application using AI and Machine Learning techniques. Her research interests include human activity recognition, sensor data analysis, and application of AI/Machine learning technique in health care application.

Qualifications

  • PhD in Computer Science, Bournemouth University, 2015
  • MSc in Computer Science, Hertfordshire University, 2006
  • BEng in Industrial Engineering, Chiang Mai University, 2005

Publications

Saisakul Chernbumroong, Anthony S Atkins, and Hongnian Yu. Document management system using wireless rfid technology for intelligent healthcare operations. In IADIS International Conference e-Health 2010, pages 69–76. IADIS, 2010. 

Saisakul Chernbumroong, Anthony S Atkins, and Hongnian Yu. Perception of smart home technologies to assist elderly people. In The fourth international conference on software, knowledge, information management and applications (SKIMA 2010), pages 90–97, 2010.

Saisakul Chernbumroong, Anthony S Atkins, and Hongnian Yu. Activity classification using a single wrist-worn accelerometer. In Software, Knowledge Information, Industrial Management and Applications (SKIMA), 2011 5th International Conference on, pages 1–6. IEEE, 2011. 

Saisakul Chernbumroong, Anthony S Atkins, and Hongnian Yu. Wrist-worn accelerometer based activity classification using decision tree and neural net- work for smart health application. The Mediterranean Journal of Computers and Networks, 9(1):10–19, Jan 2013. ISSN 1744-2397. 

Saisakul Chernbumroong, Shuang Cang, Anthony Atkins, and Hongnian Yu. Elderly activities recognition and classification for applications in assisted living. Expert Systems with Applications, 40(5):1662–1674, 2013.

Saisakul Chernbumroong, Anthony S Atkins, and Hongnian Yu. Perception of smart home technologies to assist elderly people. In The fourth international conference on software, knowledge, information management and applications (SKIMA 2010), pages 90–97, 2010.

S. Chernbumroong, S. Cang, and H. Yu. Ga-based classifiers fusion for multi- sensor activity recognition of elderly people. Biomedical and Health Informatics, IEEE Journal of, PP(99):1–1, 2014. ISSN 2168-2194.

Saisakul Chernbumroong, Shuang Cang, and Hongnian Yu. A practical multi- sensor activity recognition system for home-based care. Decision Support Systems, 66(0):61 – 70, 2014. ISSN 0167-9236. 

Chernbumroong, S., Lotfi, A., Langensiepen, C., "Prediction of mobility entropy in an Ambient Intelligent environment," Intelligent Agents (IA), 2014 IEEE Symposium on , vol., no., pp.65,72, 9-12 Dec. 2014.

Saisakul Chernbumroong, Shuang Cang, and Hongnian Yu. Maximum rel- evancy maximum complementary feature selection for multi-sensor activity recognition. Expert Systems with Applications, 42(1):573 – 583, 2015. ISSN 0957-4174.

S. Chernbumroong, J. I. Grove, S. Astbury, D. J. Leeming, P. Kaye, D. J. Antoine, C. Hoad, S. Francis, I. N. Guha, M. Miller, J. F. Dillon, M. Allison, G. P. Aithal, J. Garibaldi, Advanced machine learning techniques to identify a panel of biomarkers that identify non-alcoholic steatohepatitis, AASLD, The Liver Meeting, Washington DC, October 2017

Chernbumroong S, Johnson JI, Garibaldi J, Johnson SR. Not all LAM is the same: identification of disease endotypes by unsupervised machine learning, International Rare lung disease conference, Cincinnati, September, 2018 

View all publications in research portal