Engr Mubashar Sarfraz

Contact me

  •   Department of Electrical Engineering
  •   051 9265100 Ext: 2063
  •   mubashar.sarfraz@numl.edu.pk

Engr Mubashar Sarfraz

Lab Engineer

BE Electrical (Telecom) Engineering, NUML Islamabad.Pakistan.2017

As a Lab Engineer in NUML, Islamabad
From Sep 2020- till present

As a Team Lead at SnS-PAD
From October 2019 to August 2020

As a Design Engineer in SnS-PAD
From Nov 2017 to Sep 2019

1. SA Ghauri, M Sarfraz, NB Muhammad and S Munir (2020) Genetic Algorithm Assisted
Support Vector Machine for M-QAM Classification Genetic Algorithm Assisted Support
Vector Machine for M-QAM Classification. Mathematical Modelling of Engineering
Problems, vol. 7, 441-449.
2. Alam, S., Malik, A.N., Qureshi, I.M., Ghauri, S.A. and M Sarfraz. (2019) Joint power and
channel allocation scheme for IEEE 802.11af based smart grid communication network.
Future Generation Computer Systems, vol. 95, 694-712.
3. Alam, S., Malik, A.N., Qureshi, I.M., Ghauri, S.A. and M Sarfraz. (2018) Clustering-Based
Channel Allocation Scheme for Neighborhood Area Network in a Cognitive Radio Based
Smart Grid Communication. IEEE Access, 6, 25773-25784.

4. S Alam, M Sarfraz, MB Usman, MA Ahmad and S Iftikhar (2017) Dynamic resource
allocation for cognitive radio based smart grid communication networks. International Journal
of Advanced and Applied Sciences, vol. 4 76-83.
5. MF Sohail, S Alam, A Hussain, SA Ghauri, M Sarfraz, MA Ahmed (2017) Multiuser
detection: Comparative analysis of heuristic approach. International Journal of Advanced and
Applied Sciences, vol. 4 76-83.

Cognitive radio for Smart Grid Communications
Optimization techniques

Education

BE Electrical (Telecom) Engineering, NUML Islamabad.Pakistan.2017

Experience

As a Lab Engineer in NUML, Islamabad
From Sep 2020- till present

As a Team Lead at SnS-PAD
From October 2019 to August 2020

As a Design Engineer in SnS-PAD
From Nov 2017 to Sep 2019

Publications

1. SA Ghauri, M Sarfraz, NB Muhammad and S Munir (2020) Genetic Algorithm Assisted
Support Vector Machine for M-QAM Classification Genetic Algorithm Assisted Support
Vector Machine for M-QAM Classification. Mathematical Modelling of Engineering
Problems, vol. 7, 441-449.
2. Alam, S., Malik, A.N., Qureshi, I.M., Ghauri, S.A. and M Sarfraz. (2019) Joint power and
channel allocation scheme for IEEE 802.11af based smart grid communication network.
Future Generation Computer Systems, vol. 95, 694-712.
3. Alam, S., Malik, A.N., Qureshi, I.M., Ghauri, S.A. and M Sarfraz. (2018) Clustering-Based
Channel Allocation Scheme for Neighborhood Area Network in a Cognitive Radio Based
Smart Grid Communication. IEEE Access, 6, 25773-25784.

4. S Alam, M Sarfraz, MB Usman, MA Ahmad and S Iftikhar (2017) Dynamic resource
allocation for cognitive radio based smart grid communication networks. International Journal
of Advanced and Applied Sciences, vol. 4 76-83.
5. MF Sohail, S Alam, A Hussain, SA Ghauri, M Sarfraz, MA Ahmed (2017) Multiuser
detection: Comparative analysis of heuristic approach. International Journal of Advanced and
Applied Sciences, vol. 4 76-83.

Interests

Cognitive radio for Smart Grid Communications
Optimization techniques