2017 – up to now: Ph.D. Scholar,Computer Science and Technology,Shenzhen University, China
Certifications and Trainings
ISO27001(LA) by ISO
Certified Ethical Hacker (CEH v8) by EC Council.
Certified Hacking Forensic Investigator (CHFIV8) by EC Council.
Cloud Computing Security Knowledge (CCSK) by Cloud Security Alliance.
Computer & Internet Security (Threats & Countermeasures) by PIM.
Information Security (Recent Trends and Dimensioning of Future Challenges) by PINSTI
Experience
Security Expert Pvt, Islamabad
Information Security Officer, 2012-Present. Responsibilities include Information Security trainings, Security consultancy, Penetration testing, Digital Forensic Investigations, etc.
Strategic Organizations
6 year experience related to IT industry in Gov Sector with responsibilities of network monitoring, Digital equipment monitoring, network penetration testing, digital equipment penetration testing, Industrial and technological security changes.
Consultant
Providing Consultancy to different Government and Pvt, organizations in field of penetration testing, Information Security trainings, guidelines to establish digital forensics lab from initial concept to complete Implementation including tools.
Research Publications
[1] M. Z. Meilu Zhu, Daming Shi∗ , Muhammad Sadiq, “Robust Facial Landmark Detection via Occlusion-adaptive Deep Networks,” CVPR, 2019.
[2] J. Liang, M. Ma, M. Sadiq, and K. H. Yeung, “A filter model for intrusion detection system in Vehicle Ad Hoc Networks: A hidden Markov methodology,” KnowledgeBased Syst., vol. 163, pp. 611–623, 2019.
[3] M. Sadiq, M. S. Iqbal, and A. R. T. Methodology, “A Survey of Most Common Referred Automated Performance Testing Tools,” ARPN J. Sci. Technol., vol. 5, no. 11, 2015.
[4] M. Sajad, M. Sadiq, K. Naveed, and M. S. Iqbal, “Software Project Management : Tools assessment , Comparison and suggestions for future development .,” Int. J. Comput. Sci. Netw. Secur., vol. 16, no. 1, p. 2016, 2016.
[5] M. S. Iqbal, B. Luo, T. Khan, R. Mehmood, and M. Sadiq, “Heterogeneous transfer learning techniques for machine learning,” Iran J. Comput. Sci., vol. 1, no. 1, pp. 31–46, 2018.