Dr. Waseem Abbass

Assistant Professor

Waseem Abbass, Ph.D., an esteemed engineer with over 12 years in academia, is passionately dedicated to fostering youth civic engagement. Holding a Bachelor’s degree in Computer Engineering with honors from COMSATS University Islamabad and pursuing advanced studies in networks at the University of Engineering and Technology, Taxila, Waseem has become a recognized expert in electrical engineering. In 2023, he earned his Ph.D. from COMSATS, specializing in modeling, optimizing, and applying machine learning in 5G cellular communication. His dissertation, “Analysis and Optimization of Shared Spectrum Access in 5G,” highlights his prowess in tackling contemporary technological challenges with 10 journal publications. With a background exceeding 12 years, Waseem is an Assistant Professor at Capital University of Science and Technology, Islamabad. Actively contributing to machine learning, cognitive radio networks, device-to-device communication, and the Internet of Things within the engineering domain, he leverages his extensive experience to mentor the next generation of engineers. Beyond academia, he has organized over 20 workshops, empowering young engineers through Public Achievement programs and instilling a profound sense of civic responsibility. Waseem Abbass seamlessly integrates robust research and extensive experience with community leadership, playing a pivotal role in shaping responsible and informed engineers. His diverse contributions reflect a holistic commitment to advancing technical knowledge and creating a positive societal impact.

PhD Electrical Engineering COMSATS University Islamabad 2023
MS Computer Engineering University of Engineering & Technology, Taxila 2014
Assistant Professor Capital University of Science and Technology Islamabad, Pakistan Since – 2023
1. Wireless Communication
2. Computer Networks
3. Machine Learning
4. Data Science
Farooqi AH, and Abbass W. et al., Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things. Sensors. 2024; 24(1):127. https://doi.org/10.3390/s24010127
W. Abbass et al., “Channel Allocation to GAA Users Using Double Deep Recurrent Q-Learning Based on Double Auction Method,” in IEEE Access, vol. 11, pp. 117321-117340, 2023, doi: 10.1109/ACCESS.2023.3326432.
Majeed, U., Malik, A.N., Abbas, N. and Abbass, W., 2022. An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks. Electronics, 11(20), p.3265. doi: https://doi.org/10.3390/electronics11203265.
W. Abbass et.al. “Optimal Resource Allocation for GAA Users in Spectrum Access System Using Q-Learning Algorithm,” in IEEE Access, vol. 10, pp. 60790-60804, 2022, doi: 10.1109/ACCESS.2022.3180753.
W. Abbass et.al. “Resource Allocation in Spectrum Access System Using Multi-Objective Optimization Methods. Sensors, 22(4), p.1318.
Khan, I.L., Hussain, R., Iqbal, A., Shakeel, A., Alvi, S., Abbas, W., and Malik, S.A., 2018. Design and evaluation of self-organizing, collision-free MAC protocol for distributed cognitive radio networks. Wireless Personal Communications, 99(2), pp.1081-1101, 2018.
Khan, S., Anwar, S.M., Abbas, W. and Qureshi, R., 2016. A novel adaptive algorithm for removal of power line interference from ecg signal. Science International, 28(1), pp.139-143.
Abbas, W., Abbas, N., Majeed, U. and Khan, S., 2016. Efficient STBC for the data rate of MIMO-OFDMA. Sci. Institute (Lahore), 28, pp.247-255.
Abbas, W., Abbas, N. and Majeed, U., 2014. Performance Enhancement of End-to-end Quality of Service in WCDMA Wireless Networks. Science International (Lahore), 26(2), pp.613-620.
Abbas, W., Abbas, N. and Malik, M.A., 2013. NS-2-based simulation environment for performance evaluation of UMTS Architecture. International Journal of Advanced Research in Computer Science, 4(11).
“Latif, G., Javaid, N., Sher, A., Khan, M., Hameed, T. and Abbas, W., 2018, May. An efficient routing algorithm for void hole avoidance in underwater wireless sensor networks. In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 305-310). IEEE.

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