Specialization: Cyber Security

Education:
MS (Cyber Security) – COMSTAS University Islamabad, Pakistan
BS (Computer Science), Iqra University, Karachi

Research Interests
Cyber Security
Data Analysis
Malware Detection
Machine Learning

Publications
Malware Detection and Classification along with Trade-off Analysis for Number of Features, Feature Types, and Speed – International Conference on Frontiers of Information Technology (FIT-2021)

Malware Detection in Android via Neural Network using Entropy Features – International Conference on Frontiers of Information Technology (FIT-2021)

Malware Classification Framework using Convolutional Neural Network – Conference IEEE International Conference on Cyber Warfare and Security (ICCWS 2020)

Formerly :

Lecturer & Program Coordinator: Salim Habib University, Karachi

Lecturer, Iqra University, Karachi.

Software Developer, Innovative Solutions, Karachi

Contact Information:
duaa.baig@dsu.edu.pk

Profile:

Academic Background:

• Ph.D. (Computer Science), Nanjing University of Aeronautics. Nanjing, China
• MS (Computer Science), U.A.F. Faisalabad
• BS(Information Technology), A.I.O.U. Islamabad

Research Interests:

• Artificial Intelligence
• Machine Learning
• Data Analytics
• Deep learning
• Intrusion detection system for WSN

Publications:

1. Bilal, A., Hasany, S.M.N.,Pitafi, A.H.: Effective modelling of sinkhole detection algorithm for edge-based Internet of Things (IoT) sensing devices. IET Commun. 1–11 (2022).
2. Ahmad, Bilal; Jian, Wang, “Classification of DoS Attacks in Smart Underwater Wireless Sensor Network” Wireless Personal Communications,2019
3. Bilal Ahmad, Wang Jian “Role of Machine Learning and Data mining for Internet Security – Standing State with Future Directions” Hindawi, Journal of Computer Networks and Communications, 2018
4. Ahmad, Bilal; Jian, Wang; Ali, “Hybrid Anomaly Detection by Using Clustering for Wireless Sensor Network” Wireless Personal Communications, p 1-13, April 16, 2018
5. Ahmad, Jian, Wang; Shafiq, Muhammad “Intrusion detection by using hybrid of decision tree and K-nearest neighbor” International Journal of Hybrid Information Technology, 2016
6. Ahmad, Bilal Jian, Wang; Hassan, Bilal “Hybrid intrusion detection method to increase anomaly detection by using data mining techniques” International Journal of Database Theory and Application, 2016

Experience:

1. SSUET, Karachi (Asst. Professor 2 Years)
2. NUAA China (Lecturer 1 Year)
3. Beaconhouse (IT Teacher 4.5 Years)

Email: ahmad.bilal@dsu.edu.pk