Muhammad Waqar

Contact me

  •   CMR
  •   Ph: 051-9265100, Ext 2088
  •   mhdwaqar@numl.edu.pk

Muhammad Waqar

Part Time Researcher

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

  1. Muhammad Waqar, Hassan Dawood, Hussain Dawood, Nadeem Majeed, Ameen Banjar, Riad Alharbey, "An Efficient SMOTE-Based Deep Learning Model for Heart Attack Prediction", Scientific Programming, vol. 2021, Article ID 6621622, 12 pages, 2021. https://doi.org/10.1155/2021/6621622
  2. Muhammad Waqar, Nadeem Majeed, Hassan Dawood, Ali Daud & Naif Radi Aljohani (2019) An adaptive doctor-recommender system, Behaviour & Information Technology, 38:9, 959-973, DOI: 10.1080/0144929X.2019.1625441
  3. ·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
  4. ·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
  1. Recommender System
  2.  Machine Learning Applications
  3.  Deep Learning Applications
  4. 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

Publications

  1. Muhammad Waqar, Hassan Dawood, Hussain Dawood, Nadeem Majeed, Ameen Banjar, Riad Alharbey, "An Efficient SMOTE-Based Deep Learning Model for Heart Attack Prediction", Scientific Programming, vol. 2021, Article ID 6621622, 12 pages, 2021. https://doi.org/10.1155/2021/6621622
  2. Muhammad Waqar, Nadeem Majeed, Hassan Dawood, Ali Daud & Naif Radi Aljohani (2019) An adaptive doctor-recommender system, Behaviour & Information Technology, 38:9, 959-973, DOI: 10.1080/0144929X.2019.1625441
  3. ·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
  4. ·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

  1. Recommender System
  2.  Machine Learning Applications
  3.  Deep Learning Applications
  4. Software Testing