Interdisciplinary is the way to discover human brain connectome.
Siti Balqis Samdin - Postdoctoral Research Fellow, STAT

Location

Building 1, Al-Khawarizmi, 4th floor, 4200-CU06

Siti Balqis Samdin is a Post-Doctoral fellow In Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Hernando Ombao in his research group.

Education and Early Career

Siti Balqis obtained her Ph.D. and Bachelor of Engineering in Biomedical Engineering from Universiti Teknologi Malaysia (UTM) in 2017 and 2011, respectively. She worked as Research Assistant at UTM before joining KAUST in 2018.

Research Interest

Her research interest primarily lies in biomedical signals and image processing using statistical methods such as time-series modeling and Bayesian estimation. She is currently working on complex-brain networks analysis and brain networks recognition.

She is also interested in fields such as brain signals, biomedical signals, time series modeling, and Bayesian estimation.

Awards

  • Silver and Gold Award in UTM Industrial Art & Technology Exhibition 2015 and 2012, respectively.

  • Silver Award in International Conference and Exposition on Inventions by Institutions of Higher Learning 2013.

  • Silver Award in Malaysia Technology Expo 2013.

  • Dean’s List Award, UTM Convocation 2011.

Professional Body

Graduate Engineer Members, Board of Engineer Malaysia (BEM).

Selected Publications

Ting, C.-M., Ombao, H., Samdin, S. B., & Salleh, S.-H. (2018). Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. IEEE Transactions on Medical Imaging, 37(4), 1011–1023. doi:10.1109/tmi.2017.2780185
Samdin, S. B., Ting, C.-M., & Ombao, H. (2019). Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. In 2019 IEEE 16th International Symposium on Biomedical Imaging. In-Press
Samdin, S. B., Ting, C. M., Ombao, H., & Salleh, S. H. (2017). A unified estimation framework for state-related changes in effective brain connectivity. IEEE Transactions on Biomedical Engineering, 64(4), 844–858.
Hernando Ombao, Anna Louise Schröder, Carolina Euán, Chee-Ming Ting, S. Balqis Samdin (2016). Advanced topics for modeling electroencephalograms. In H. Ombao (Ed.), Handbook of Neuroimaging Data Analysis (pp. 567–621). Chapman and Hall/CRC.