Faculty Profile

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  • [email protected]
  • University of Liberal Arts Bangladesh
    Permanent Campus
    Mohammadpur,Dhaka
    Bangladesh.
  • Ph.D. in Electrical Engineering
    The University of Alabama, Tuscaloosa, AL, USA

    M.Sc. in Electrical and Electronic Engineering (EEE)
    Bangladesh University of Engineering and Technology (BUET)

    B.Sc. in Electrical, Electronic and Communication Engineering (EECE)
    Military Institute of Science & Technology (MIST)

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.

Abul Barkat Mollah Sayeed Ud Doulah, PhD

Assistant Professor

Overview

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.

Research & Awards

Awards:

PhD Scholarship: Graduate Research Assistantship Award (2014 - 2018)

Publications

Journal Articles

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)

A. Doulah, M. Farooq, X. Yang, J. Parton, M. A. McCrory, J. A. Higgins and E. Sazonov, “Meal Microstructure Characterization from Sensor-Based Food Intake Detection” Frontiers in Nutrition, vol 4, issue 31, 2017 (cited by – 7)

A. Doulah, E. Sazonov, “Clustering of Food Intake Images into Food and Non-food Categories” Springer International Publishing AG; Bioinformatics and Biomedical Engineering, IWBBIO 2017, Part I, LNBI 10208, pp. 454 - 463, 2017. 

A. Doulah, S. A. Fattah, W. Zhu, and M. Ahmad, “Wavelet Domain Feature Extraction Scheme Based on Dominant Motor Unit Action Potential of EMG Signal for Neuromuscular Disease Classification,” IEEE Transactions on Biomedical Circuits and Systems, vol.8, no. 2, 2014. (cited by – 40)

A. Doulah, S. A. Fattah, W. Zhu, and M. Ahmad, “DCT domain feature extraction scheme based on motor unit action potential of EMG signal for neuromuscular disease classification,” IET Healthcare Technology Letters, vol. 1, no. 1, 2014. (cited by – 8)

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. 

S. A. Fattah, M. A. Iqbal, M. A. Jumana and A. Doulah, “Identifying the Motor Neuron Disease in EMG Signal using Time and Frequency Domain Features with Comparison,” Signal & Image Processing: An International Journal (SIPIJ), vol. 3, no. 2, pp. 99, April 2012. (cited by – 17).

Conference Proceedings

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.

The University of Liberal Arts Bangladesh and its curricula are accredited by the University Grants Commission (UGC) of Bangladesh, and approved by the Ministry of Education, Government of People's Republic of Bangladesh.

emk Since March, 2018, the University of ​Liberal Arts Bangladesh (ULAB) is associated with the EMK Center as its management partner along with the American Center of U.S. Embassy Dhaka.