Areas of Interest
Machine Learning, Biomedical Signal Processing, Intelligent System Applications to Biomedical Engineering, Physical Activity Monitoring, Wearable Devices, Deep Learning (CNN), Image Processing and Computer Vision.
Dr. Doulah received the bachelor's degree in electrical engineering from the Military Institute of Science & Technology (MIST), Dhaka, Bangladesh, the master's degree from Bangladesh University of Engineering and Technology and Ph.D. degree in electrical engineering from the University of Alabama, Tuscaloosa, AL, USA, in 2010, 2013 and 2018, respectively. Prior to this, he was a Lecturer with the Department of Electrical Electronics and Computer Engineering, Military Institute of Science and Technology. His research interests include the development of wearable systems, signal analysis of sensors, and machine learning algorithms for preventive, diagnostic, and assistive health technology with a special focus on dietary intake monitoring.
PhD Scholarship: Graduate Research Assistantship Award (2014 - 2018)
A. Doulah, X. Shen, E. Sazonov, “Early detection of the initiation of sit-to-stand posture transitions using orthosis-mounted sensors” Sensors, vol. 17, no. 12, 2017. (cited by – 1)
A. Doulah, X. Shen, E. Sazonov, “A method for early detection of the initiation of sit-to-stand posture transitions” Physiological Measurement, vol. 37, 2016. (cited by – 3)
S. A. Fattah, A. Doulah, M. A. Jumana and M. A. Iqbal, “Evaluation of Different Time and Frequency Domain Features of Motor Neuron and Musculoskeletal Diseases,” International Journal of Computer Applications(IJCA), Published by Foundation of Computer Science, New York, USA., vol. 43, no. 23.
X. Yang, A. Doulah, M. Farooq, J. Parton, M. A. McCrory, J. A. Higgins and E. Sazonov, “Statistical models for meal level estimation of mass and energy intake using features derived from video observation and a chewing sensor” Accepted, waiting for publication, Scientific Reports, Nature, 2018.
A. Doulah, X. Yang, J. Parton, J. Higgins, M. McCrory, and E. Sazonov, “The importance of field experiments in testing of sensors for dietary assessment and eating behavior monitoring,” presented at the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMB
A. Doulah and S. A. Fattah, "Neuromuscular disease classification based on mel frequency cepstrum of motor unit action potential," 2014 International Conference on Electrical Engineering and Information & Communication Technology, Dhaka, 2014, pp. 1-4. (cited by – 11).
S. Fattah, A. Doulah, M. A. Iqbal, C. Shahnaz, W. Zhu, and M. Ahmad, “Identification of motor neuron disease using wavelet domain features extracted from EMG signal,” in Proc. IEEE Int. Conf. Circuits Syst. (ISCAS), Beijing, China, 19-23 May 2013. (cited by – 20).
A. Doulah and M. A. Iqbal, “An Approach to Identify Myopathy Disease Using Different Signal Processing Features with Comparison,” in Proc. IEEE International Conference on Computer and Information Technology, ICCIT 2012, Chittagong, Bangladesh, 22-24 December 2012. (cited by – 3).
A. Doulah, M. A. Iqbal and M. A. Jumana, “ALS Disease Detection in EMG Using Time- Frequency Method,” in Proc. IEEE International Conference on Informatics, Electronics & Vision, ICIEV 2012, Bangladesh, pp. 648-651, 18-19 May 2012. (cited by – 8).
S. M. Yasir Malek, J. Rozario and A. Doulah, “An Approach to Improve PV Performance: Incorporating Q-Dot Nanocrystals and Double Sun Technology,” IEEE International Conference on Informatics, Electronics & Vision, ICIEV 2012, Bangladesh, pp. 618-621, 18-19 May 2012.