
Contact me
- Department of Electrical Engineering
- 051 9265100 Ext: 2063
- mhdwaqar@numl.edu.pk
Muhammad Waqar
Lecturer ( ELECTRICAL ENGINEERING)MS(Software Engineering) 2016
University of Engineering & Technology,Taxila.Pakistan
BS(Software Engineering) 2014
University of Engineering & Technology,Taxila.Pakistan
Lecturer
National University of Modern Lanauges Isalamabad
Aug,2017 till Present
Visiting Lecturer
Comsat Abbotbad
Feb-2017 to Jul-2017
Research Associate
University of Engineering & Technology,Taxila.Pakistan
Aug-2014 to Feb-2016
Php development course
SuperTech Institute of Computer Sciences Islamabad
Jun-2013 to Aug-2013
·M. Waqar, H. Dawood, P. Guo, M. B. Shahnawaz and M. A. Ghazanfar, "Prediction of Stock Market by Principal Component Analysis," 2017 13th International Conference on Computational Intelligence and Security (CIS), Hong Kong, Hong Kong, 2018, pp. 599-602.
doi:10.1109/CIS.2017.00139
·Muhammad Bilal, Muhammad Waqar, and Ali Javed. Article:An Effective Quality Model for Evaluating Mobile Websites. Technical Journal of UET Taxila, Vol. 20 No. III-2015, pp. 54-61
- Recommender System
- Machine Learning
- IOMT,
- Software Testing
Education
MS(Software Engineering) 2016
University of Engineering & Technology,Taxila.Pakistan
BS(Software Engineering) 2014
University of Engineering & Technology,Taxila.Pakistan
Experience
Lecturer
National University of Modern Lanauges Isalamabad
Aug,2017 till Present
Visiting Lecturer
Comsat Abbotbad
Feb-2017 to Jul-2017
Research Associate
University of Engineering & Technology,Taxila.Pakistan
Aug-2014 to Feb-2016
Php development course
SuperTech Institute of Computer Sciences Islamabad
Jun-2013 to Aug-2013
Publications
·M. Waqar, H. Dawood, P. Guo, M. B. Shahnawaz and M. A. Ghazanfar, "Prediction of Stock Market by Principal Component Analysis," 2017 13th International Conference on Computational Intelligence and Security (CIS), Hong Kong, Hong Kong, 2018, pp. 599-602.
doi:10.1109/CIS.2017.00139
·Muhammad Bilal, Muhammad Waqar, and Ali Javed. Article:An Effective Quality Model for Evaluating Mobile Websites. Technical Journal of UET Taxila, Vol. 20 No. III-2015, pp. 54-61
Interests
- Recommender System
- Machine Learning
- IOMT,
- Software Testing