About

Dr. Hussain has a dual-doctorate in Information and Communications Engineering from The Hong Kong Polytechnic University (awarded in 2021) and another from Xi'an Jiaotong University (awarded in 2022 and under a Joint PhD Programme); an MSc. degree from the University of Leicester, UK (2011); and a bachelor's degree in electrical engineering (First-class Honours) from Bahria University, Pakistan (2010). He has over five years - around 1 year post-doctoral and 4.5 years pre-doctoral - of academic experience teaching undergraduate and graduate-level courses in telecommunications, Electronics, and Computer Science.

His general research interests include Applications of Artificial Intelligence and Big Data Analytics in Wireless Communication Systems (6G/5G Mobile Networks), Mobile Edge and Fog Computing, and Cyber-Physical Systems Security.

In particular, he does the following/has an interest in the following topics:

- Analysis of user traffic data collected from cellular networks.

- AI-based attack detection in cellular networks, from the cyber-physical systems (CPS) security perspective.

- AI-based network optimization using data (self-healing, traffic prediction, resource reallocation).

- Intelligent detection of faults and anomalies in mobile networks.

Educational
background

Ph.D. in Information & Communications Engineering

The Hong Kong Polytechnic University, Hong Kong SAR
September 2019 to August 2021

M.Sc. in Information & Communications Engineering

University of Leicester, United Kingdom
2010 to 2011

Bachelor of Electrical Engineering (Telecommunication Specialization)

Bahria University
Fall 2006 to Spring 2010

Peer-Reviewed Journal Papers

J4. B. Hussain, Q. Du, B. Sun and Z. Han, "Deep Learning-Based DDoS-Attack Detection for Cyber–Physical System Over 5G Network," in IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 860-870, Feb. 2021, doi: 10.1109/TII.2020.2974520.

J3. B. Hussain, Q. Du, A. Imran and M. A. Imran, "Artificial Intelligence-Powered Mobile Edge Computing-Based Anomaly Detection in Cellular Networks," in IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 4986-4996, Aug. 2020, doi: 10.1109/TII.2019.2953201. Link

J2. B. Hussain, Q. Du, S. Zhang, A. Imran and M. A. Imran, "Mobile Edge Computing-Based Data-Driven Deep Learning Framework for Anomaly Detection," in IEEE Access, vol. 7, pp. 137656-137667, 2019, doi: 10.1109/ACCESS.2019.2942485.

J1. B. Hussain, Q. Du and P. Ren, "Semi-supervised learning based big data-driven anomaly detection in mobile wireless networks," in China Communications, vol. 15, no. 4, pp. 41-57, April 2018, doi: 10.1109/CC.2018.8357700.

Ph.D. in Information & Communications Engineering

Xi'an Jiaotong University, P. R. China
September 2017 to June 2022

Peer-Reviewed Conference Papers

C4. A. Hussain, S. Jingchun, B. Hussain, A. Rehman, and M. Shaique, "Trade-off Theory and Machine Learning: A Unified Framework for Organizational Survival," 85th Annual Meeting of the Academy of Management, Copenhagen, Denmark, 2025.

C3. K. L. Wong, B. Hussain, H. S. Chiu, and T. L. Wong, "Using Image Analytics and Natural Language Processing to Support Teachers in Promoting Active Learning in Computer Programming," The 9th International Conference on Research in Education, Teaching and Learning (iCETL), Milan Italy, 2025.

C2. B. Hussain, Q. Du and P. Ren, "Deep Learning-Based Big Data-Assisted Anomaly Detection in Cellular Networks," 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6, doi: 10.1109/GLOCOM.2018.8647366.

C1. B. Hussain, Q. Du and P. Ren, "Big data-driven anomaly detection in cellular networks," 2017 IEEE/CIC International Conference on Communications in China (ICCC), Qingdao, China, 2017, pp. 1-6, doi: 10.1109/ICCChina.2017.8330468.

“A good teacher is like a candle – it consumes itself to light the way for others."

- Mustafa Kemal Atatürke.

“It is the supreme art of the teacher to awaken joy in creative expression and knowledge."

- Albert Einstein.

“If you can't fly then run, if you can't run then walk, if you can't walk then crawl, but whatever you do you have to keep moving forward."

- Martin Luther King Jr.