Dr. Madah Ul Mustafa
- Assistant Professor(visiting)
- madahul.mustafa@numl.edu.pk
PhD Pattern Recognition and Intelligent Systems, SCUT, Pakistan, 2020.
MS Electrical and Computer Engineering, SCUT, Pakistan, 2013.
- September, 2021-Present.
National University of Modern Languages, Islamabad.
Assistant Professor, Faculty of Engineering
- November, 2020-August 2021.
Mir Chakar Khan Rind University of Technology, D. G. Khan, Pakistan.
Visiting Assistant Professor (Electrical/Electronics Department).
- July 2014- November 2017.
Mega Engineering and Construction Company (MECC), Asia Pacific Pvt. Ltd Group.
Technical Engineer/Country Manager, China (Part-Time Job).
1. Madah-Ul-Mustafa and Zhu Liang Yu, “A Robust Object Tracking Method for Surveillance Applications to Handle Occlusion”, International Journal of Computer Theory and Engineering, vol. 13, no. 1, pp. 9-16, 2021(EI).
2. Shenghong He, Tianyou Yu, Rui Zhang, Qiyun Huang, Lin Chuai, Madah-Ul-Mustafa, Zhenghui Gu, Zhu Liang Yu and Yuanqing Li, “EEG- and EOG-based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-mail Client, and a File Explorer”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 28,no. 2, pp. 519-530, 2020(IF=3.34).
3. Madah-Ul-Mustafa and Zhu Liang Yu, “Real-time tracking-by-detection Framework for Traffic Applications via Deep Learning based Convolutional Neural Network”, Journal of Electrical Systems, vol. 16, no. 3, pp. 381-392, 2020 (ESCI/Scopus).
4. Madah-Ul-Mustafa, Zhu Liang Yu and Yao Yeboah, “Visual Object Tracking: A concise Review”, International Journal of Intelligent Information Processing, vol. 9, no. 1, pp. 142-153, 2019 (IET Inspec).
5. Madah-Ul-Mustafa, Zhu Liang Yu and Yao Yeboah, “A Robust Vehicle Tracking Method for Traffic Applications”, International Journal of Intelligent Information Processing, vol. 8, no. 1, pp. 1-9, 2018 (IET Inspec).
Artificial Intelligence
Machine Learning
Image Processing
Education
PhD Pattern Recognition and Intelligent Systems, SCUT, Pakistan, 2020.
MS Electrical and Computer Engineering, SCUT, Pakistan, 2013.
Experience
- September, 2021-Present.
National University of Modern Languages, Islamabad.
Assistant Professor, Faculty of Engineering
- November, 2020-August 2021.
Mir Chakar Khan Rind University of Technology, D. G. Khan, Pakistan.
Visiting Assistant Professor (Electrical/Electronics Department).
- July 2014- November 2017.
Mega Engineering and Construction Company (MECC), Asia Pacific Pvt. Ltd Group.
Technical Engineer/Country Manager, China (Part-Time Job).
Publication(s)
1. Madah-Ul-Mustafa and Zhu Liang Yu, “A Robust Object Tracking Method for Surveillance Applications to Handle Occlusion”, International Journal of Computer Theory and Engineering, vol. 13, no. 1, pp. 9-16, 2021(EI).
2. Shenghong He, Tianyou Yu, Rui Zhang, Qiyun Huang, Lin Chuai, Madah-Ul-Mustafa, Zhenghui Gu, Zhu Liang Yu and Yuanqing Li, “EEG- and EOG-based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-mail Client, and a File Explorer”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 28,no. 2, pp. 519-530, 2020(IF=3.34).
3. Madah-Ul-Mustafa and Zhu Liang Yu, “Real-time tracking-by-detection Framework for Traffic Applications via Deep Learning based Convolutional Neural Network”, Journal of Electrical Systems, vol. 16, no. 3, pp. 381-392, 2020 (ESCI/Scopus).
4. Madah-Ul-Mustafa, Zhu Liang Yu and Yao Yeboah, “Visual Object Tracking: A concise Review”, International Journal of Intelligent Information Processing, vol. 9, no. 1, pp. 142-153, 2019 (IET Inspec).
5. Madah-Ul-Mustafa, Zhu Liang Yu and Yao Yeboah, “A Robust Vehicle Tracking Method for Traffic Applications”, International Journal of Intelligent Information Processing, vol. 8, no. 1, pp. 1-9, 2018 (IET Inspec).
Area Of Interest
Artificial Intelligence
Machine Learning
Image Processing
