Electrical and Computer Engineering

Ph.D.
University of British Columbia
2014

Electrical and Electronic Engineering

M.Sc. Engg.
Bangladesh University of Engineering and Technology
2008

Electrical and Electronic Engineering

B.Sc. Engg.
Bangladesh University of Engineering and Technology
2006

Research in Artificial Intelligence Assisted Physical Layer Design

The baseband physical layers for wireless communications are designed with robust and efficient digital signal processing algorithms. In general, the algorithms are optimal for a given block in the system chain. Our plan is to replace a number of communication blocks with deep neural networks, train the networks with practical datasets, observe the end-to-end performance, and further optimize the system behavior. Furthermore, we aim at reducing the real-time computational complexity of the physical layer design.

Research in UAV Assisted Communications

UAVs, or drones, being increasingly popular among researchers, engineers, and hobbyists, have found a widespread and versatile new set of applications in different fields of engineering. The United States Federal Aviation Administration (FAA) forecasts that the number of commercial fleet of drones will be more than 450,000, whereas the number of units of personal and hobbyist drones will exceed 2.4 million by 2022. The UAV system infrastructure strongly depends on the communications between two UAVs and between a UAV and a ground station. Recently, UAVs have been envisioned by third generation partnership project (3GPP) to be adopted in cellular communication systems for 5G or beyond 5G systems to provide an ad-hoc coverage to ensure the seamless or urgent communications. Currently, we are working on wireless channel modeling for air-to-air and air-to-ground communication links and implementing different routing protocols for UAV network.

Research in Advanced Signal Processing for 5G NR

5G new radio (NR) standardized the use of millimeter wave (mmW) electromagnetic spectrum for carrier waves. Therefore, some of the existing signal processing techniques are required to be revisited. For instance, in order to encounter the high transmission path loss, massive multiple input multiple output (MIMO) has been envisioned to be exploited at the cellular base station. Channel state information (CSI) is required to obtain for accurate beamforming and beamcombining codebook design to compensate severe free-space path loss for mmW propagation. Our focus is to develop advanced signal processing tools for channel estimation and parameter calculations for mmW and massive MIMO systems.

Research in Energy Harvesting Communications

EH nodes harvest renewable energies from their surrounding environment to carry out their functions. Energy can be harvested using solar, thermoelectric, and motion effects, or through other physical phenomena. EH nodes can be regarded as a promising option for deployment as they ensure a long system lifetime without the need for periodic battery replacements. In EH systems, energy is harvested at random times and in random amounts. A potential application area of EH nodes in massive Internet-of-Things (mIoT) for 5G. Randomness in incoming renewable energy along with physical (form-factor) constraints and limited computational resources of IoT nodes make the design problems for 5G mIoT network highly challenging. We solve resource allocation and dynamic control problems for EH nodes for different practical use-cases.

EECE 460: Wireless Communications (Spring 2021)

Selected Journal Publications

• E. Garlick, N. Hesham, Z. Hassan, I. Ahmed, A. Chaaban and M. J. Hossain, "Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept," IEEE Trans. Machine Learning in Comm. and Networking (Early Access), doi: 10.1109/TMLCN.2025.3585849, 2025.
• M. Haider, I. Ahmed, Z. Hassan, T. J. O’Shea, L. Liu, and D. B. Rawat, "Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference", IEEE Comm. Letters, doi: 10.1109/LCOMM.2025.3567850, Early Access, 2025.
• M. Haider, I. Ahmed, Z. Hassan, K. Hasan, H. V. Poor, "LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks", in IEEE Commun. Standards Magazine (submitted), Apr. 2025.
• I. Ahmed, Z. Hassan, M. Haider, and K. Hasan, "Integrated Cellular and Cell-Free Communication Systems Towards Global Connectivity: Motivations, Challenges, and Research Roadmap", IEEE IT Professional, vol. 26, no. 4, pp. 29–35, 2024.
• M. Haider, Md. Z. Hasan, I. Ahmed, J. H. Reed, A. Rubaai, and D. B. Rawat, "Deep Learning Aided MMSE Estimation of Gaussian Source in Industrial Internet-of-Things Networks", IEEE Transactions on Industrial Cyber-Physical Systems, vol. 2, pp. 185–195, 2024.

Selected Conference Publications

• P. Tarafder, I. Ahmed, D. B. Rawat, Z. Hassan, and K. Hasan, “Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor,” in IEEE MILCOM (submitted), 2025.
• G. Mollah, I. Ahmed, and D. B. Rawat, “AI-Driven Resource Allocation for Secrecy Rate Maximization in RIS-Assisted Cell-Free MIMO,” in IEEE MILCOM (submitted), 2025.
• A. Oyekola, M. Haider, I. Ahmed, and D. B. Rawat, “Autoencoder-Based Gaussianity for Low Probability of Intercept Detection in Terahertz Communications,” in IEEE MILCOM (submitted), 2025.
• S. Chakravarty, K. Hasan, and I. Ahmed, “A Physical-Network Emulation Environment for Acoustic Systems,” in IEEE Globecom (submitted), 2025.
• A. B. I. Shoeb, K. Hasan, L. Hong, T. Islam, I. Ahmed, Z. Hassan, and S. Chakravarty, “DECPA-FL: Dynamic Ensemble Clustering for Poison-Aware Federated Learning under Adversarial Conditions,” in IEEE Globecom (submitted), 2025.
• A. Amin, K. Hasan, L. Hong, T. Islam, I. Ahmed, E. Haque, and M. A. R. Mallick, “Robust Federated Vision Transformer Learning on Encrypted Data via Client-Enforced Block Permutation,” in IEEE Globecom (submitted), 2025.
• H. Onyeka, K. Hasan, L. Hong, T. Islam, and I. Ahmed, “SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in 5G Networks,” in IEEE Globecom (submitted), 2025.
• G. Mollah, M. Haider, I. Ahmed, and D. B. Rawat, “AI-enabled Resource Allocation with PHY-Layer Twin for RIS-Aided Cell-Free Wireless Systems,” accepted in IEEE ICCCN, 2025.
• E. Haque, K. Hasan, I. Ahmed, S. Ullah, T. Islam, and M. M. A. Pritom, “Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification,” in the Proc. IEEE SoutheastCon, 2025, pp. 868–873, 2025.
• J. Grow, J. Dutta, S. Chakravarty, and I. Ahmed, “Comparison of Quantum Protocols for Satellite-Terrestrial Networks,” in the Proc. IEEE SoutheastCon, 2025, pp. 1050–1052, 2025.
• J. A. Mannil, I. Ahmed, A. Rubaai, and K. Hasan, “Performance Analysis of Cell Free-Massive MIMO with Hybrid RF/FSO Fronthaul Links,” in the Proc. IEEE SoutheastCon, 2025, pp. 1227–1232, 2025.
• E. J. Samson, K. Hasan, L. Hong, I. Ahmed, H. Onyeka, and S. Shetty, "Optimizing 5G Network Slices: LSTM and Game Theory Synergy", in the Proc. of IEEE ICNC, 2025.
• G. Mollah, M. Haider, D. B. Rawat, and I. Ahmed, "Intelligent Resource Allocation for RIS-Assisted Cell-Free Massive MIMO Systems", in the Proc. of IEEE CCNC, 2024.