Faculty Profile


Muhammad Saad Rashad

 

  saad.rashad@numl.edu.pk

  saad.rashad@numl.edu.pk

MS Computer Science
National University of Computer and Emerging Sciences (FAST-NUCES)

 

BS Software Engineering

City University of Science and Information Technology

1. Lab Instructor (FAST - NUCES) January 2023 - August 2026

2. Visiting Lab Instructor (IM|Sciences) March 2021-January 2023

3. Android Developer (RAR Multibiz Services) April 2018 - Nov 2018

1. Al-Obeidat F, Rashad MS, Amin M, Ali W, Khan B, Anwar S. Trustworthy and explainable malware threat intelligence through social media analytics and nature-inspired optimization. Array,Elsevier. 2026 Aug 14:101131.

 

2. Rashad MS, Al-Kfairy M, Amin M, Anwar H, Ali W, Anwar S. Enhancing Human-AI Trust in Cyber Threat Intelligence via Interpretable Attack Phase Classification. InProceedings of the AAAI Symposium Series 2026 Jun 23 (Vol. 9, No. 1, pp. 98-106).

1. Cyber Threat Intelligence

2. Machine Learning

3. Explainable AI

4. NLP

5. Trustworthy AI

Education

MS Computer Science
National University of Computer and Emerging Sciences (FAST-NUCES)

 

BS Software Engineering

City University of Science and Information Technology

Experience

1. Lab Instructor (FAST - NUCES) January 2023 - August 2026

2. Visiting Lab Instructor (IM|Sciences) March 2021-January 2023

3. Android Developer (RAR Multibiz Services) April 2018 - Nov 2018

Publications

1. Al-Obeidat F, Rashad MS, Amin M, Ali W, Khan B, Anwar S. Trustworthy and explainable malware threat intelligence through social media analytics and nature-inspired optimization. Array,Elsevier. 2026 Aug 14:101131.

 

2. Rashad MS, Al-Kfairy M, Amin M, Anwar H, Ali W, Anwar S. Enhancing Human-AI Trust in Cyber Threat Intelligence via Interpretable Attack Phase Classification. InProceedings of the AAAI Symposium Series 2026 Jun 23 (Vol. 9, No. 1, pp. 98-106).

Interests

1. Cyber Threat Intelligence

2. Machine Learning

3. Explainable AI

4. NLP

5. Trustworthy AI