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Engineering | SENSIP

Odrika Iqbal, PhD

Student Name: Odrika Iqbal, PhD 



Title: Machine Learning for Multimodal Sensing

Currently, I am working with multimodal wearable health monitoring devices and implementing machine learning for analyzing data obtained from these sensors. The applications of my work are numerous, including but not limited to, diagnosis, identifying diseases, alerting medical authorities when symptoms become severe etc.

Research Picture:

List of Publications:

  1. S.A. Fattah, O. Iqbal, S. Zahin, C. Shahnaz and G. Rosul, “Basic Hand Action Classification Based on Surface EMG Using Autoregressive Reflection Coefficient” – presented at the IEEE Region Ten Conference, 5-8 Nov. 2017, Kuala Lumpur, Malaysia
  2. O. Iqbal, S.A. Fattah, and S. Zahin, “Hand Movement Recognition Based on Singular Value Decomposition of Surface EMG Signal” – presented at the 5th IEEE Region 10 Humanitarian Technology Conference, 21-23 Dec. 2017, Dhaka, Bangladesh
  3. S. Zahin, O. Iqbal and S.A. Fattah, “Hand Action Classification via Wavelet Reconstruction and Sub- Frame Based Feature Extraction” – presented at the IEEE International WIE Conference on Electrical and Computer Engineering, 18-19 Dec. 2017, Dehradun, Uttarkhand, India


I acknowledge the SenSIP Center of Electrical Engineering for the excellent advisory and support.