1. CAREER: Rethinking Wireless Networks through the Lens of Riemannian Geometry

• NSF-funded CAREER award CNS-2144297 (Feb. 2022- Jan. 2027)

• Objective: This project aims to lay the foundations of utilizing Riemannian-geometric tools, particularly, geometric machine learning (G-ML) and conic geometric optimization (CGO), to advance the knowledge of designing dynamic networks with low latency, low complexity, and high data rate. It starts with a transformative modeling of the underlying data structures of wireless channels and network topologies over curved surfaces, known as Riemannian manifolds. 

• Project website

• Announcement at FIU News, FIU Research Magazine

• Publications:

1. A. Elsheikh, A. S. Ibrahim, and M. H. Ismail, "Density-based anti-clustering for scheduling D2D communications," Springer Link Wireless Networks, Jan. 2024, https://doi.org/10.1007/s11276-023-03635-8. 

2. J. J. Sadique, I. Nasim and A. S. Ibrahim, "Covariance Shaping Over Riemannian Manifolds for Massive MIMO Communication," in IEEE Access, vol. 11, pp. 142874-142883, 2023, doi: 10.1109/ACCESS.2023.3344036.

3. R. Shelim and A. S. Ibrahim, "Learning Wireless Power Allocation Through Graph Convolutional Regression Networks Over Riemannian Manifolds," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3325200.

4. I Nasim and A. S. Ibrahim, "Relay Placement for Maximum Flow Rate via Learning and Optimization Over Riemannian Manifolds," in IEEE Transactions on Machine Learning in Communications and Networking, vol. 1, pp. 197-209, 2023, doi: 10.1109/TMLCN.2023.3309772.

5. A. A. Salem, A. S. Ibrahim, M. H. Ismail, "An Optimization Framework for RIS-based Energy-efficient Multi-cell NOMA Systems," Elsevier Vehicular Communications, Volume 43, 2023, ISSN 2214-2096, https://doi.org/10.1016/j.vehcom.2023.100657.

6. A. Elsheikh, A. S. Ibrahim and M. H. Ismail, "Ensemble Regression for 1-Bit Channel Estimation," 2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Cairo, Egypt, 2022, pp. 1-5, doi: 10.1109/ICCSPA55860.2022.10018988. 

7. A Elsheikh, A. S. Ibrahim, and M H. Ismail, "Sequence-to-sequence learning for link-scheduling in D2D communication networks," Journal of Network and Computer Applications, vol. 212, Mar. 2023, https://doi.org/10.1016/j.jnca.2022.103567.

8. R. Shelim and A. S. Ibrahim, "Wireless Link Scheduling Over Recurrent Riemannian Manifolds," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2022.3228212.

9. I. Nasim and A. S. Ibrahim, "Millimeter Wave Beamforming Codebook Design via Learning Channel Covariance Matrices Over Riemannian Manifolds," in IEEE Access, vol. 10, pp. 119617-119629, 2022, doi: 10.1109/ACCESS.2022.3222032.

10. R. Shelim and A. S. Ibrahim, "Geometric Machine Learning Over Riemannian Manifolds for Wireless Link Scheduling," in IEEE Access, vol. 10, pp. 22854-22864, Feb. 2022, doi: 10.1109/ACCESS.2022.3153324.

11. M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Optimal Placement of Reconfigurable Intelligent Surfaces for Spectrum Coexistence With Radars," in IEEE Transactions on Vehicular Technology, Apr. 2022, doi: 10.1109/TVT.2022.3165391.

12. A. S. Ibrahim, "Wireless Link Scheduling via Interference-aware Symmetric Positive Definite Connectivity Manifolds," Proc. the IEEE International Conference on Communications (ICC) Workshops, IEEE International Workshop on Emerging Topics in 6G Communications, Jun. 2021. 

13. A. S. Ibrahim, “Rethinking Maximum Flow Problem and Beamforming Design through Brain-inspired Geometric Lens” Proc. the IEEE Global Communications Conference (Globecom'20), Dec. 2020, doi: 10.1109/GLOBECOM42002.2020.9321983. 

14. R. Shelim and A. S. Ibrahim, "A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold." 

15. I. Nasim and A. S. Ibrahim, "Geometric Machine Learning for Channel Covariance Estimation in Vehicular Networks."  

2. PAWR Supplement: Simultaneous Multi-user Millimeter Wave Beam Tracking over COSMOS

• NSF-funded supplement project to CNS-1816112  (Oct. 2018 - Dec. 2022)

• Announcement on COSMOS lab: https://cosmos-lab.org/three-teams-received-nsf-supplement-awards-to-conduct-experiments-in-the-cosmos-testbed/

• Objective:  This supplemental award focuses on conducting experimental research on the COSMOS platform. The goal of this supplemental award is to employ a reinforcement learning model, namely, combinatorial multiarmed bandit (CMAB), for simultaneous beamforming tracking of multiple moving objects at the 28GHz and 60GHz frequency bands making use of the COSMOS Sandbox-1 and X-Y tables.  

• Publications:

  1. Imtiaz Nasim, Panagiotis Skrimponis, Ahmed S. Ibrahim, Sundeep Rangan, and Ivan Seskar, "Reinforcement learning of millimeter wave beamforming tracking over COSMOS platform," In Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH '22). Association for Computing Machinery, New York, NY, USA, 40–44. https://doi.org/10.1145/3556564.3558242. 

3. Towards mmWave-based Vehicular Communications 

• NSF-funded project: CNS-1816112  (Oct. 2018 - Dec. 2022)

• Project website: https://sites.google.com/view/nsfmmwavevehicularcomm 

• Objective: Deigning vehicular communications and networks that can provide high data-rate, low-latency, and security. 

• The project in the news.

• Publications:

  1. A. A. Siddig, A. S. Ibrahim and M. H. Ismail, "A Low-delay Lyapunov-based Relay Selection Scheme in Buffer-aided Cooperative Networks," in IEEE Communications Letters, doi: 10.1109/LCOMM.2023.3343991.

  2. A. M. Benaya, M. H. Ismail, A. S. Ibrahim and A. A. Salem, "Physical Layer Security Enhancement via Intelligent Omni-Surfaces and UAV-Friendly Jamming," in IEEE Access, vol. 11, pp. 2531-2544, Jan. 2023, doi: 10.1109/ACCESS.2023.3233947. 

  3. M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Uplink Power Analysis of RIS-assisted Communication Over Shared Radar Spectrum," 2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Cairo, Egypt, 2022, pp. 1-5, doi: 10.1109/ICCSPA55860.2022.10019023. 

  4. A. A. Salem, M. H. Ismail and A. S. Ibrahim, "Active Reconfigurable Intelligent Surface-Assisted MISO Integrated Sensing and Communication Systems for Secure Operation," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2022.3227319.

  5. A. A. Siddig, A. S. Ibrahim and M. H. Ismail, "A Low-Delay Hybrid Half/Full-Duplex Link Selection Scheme for Cooperative Relaying Networks," in IEEE Transactions on Vehicular Technology, Jul. 2022, doi: 10.1109/TVT.2022.3189181. 

  6. M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Optimized Modulation Order for V2V Communication Over Index-modulated Radar Signals," Elsevier Vehicular Communications, June 2022. 

  7. S. Kim and A. S. Ibrahim, "Byzantine-Fault-Tolerant Consensus via Reinforcement Learning for Permissioned Blockchain-Empowered V2X Network," in IEEE Transactions on Intelligent Vehicles, Apr. 2022, doi: 10.1109/TIV.2022.3168575.

  8. M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Maximum-Service Channel Assignment in Vehicular Radar-Communication," in IEEE Access, vol. 9, pp. 138359-138370, Oct. 2021, doi: 10.1109/ACCESS.2021.3118964.

  9. M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Stochastic Geometry Based Performance Analysis of Cellular Systems in the Vicinity of Rotating Radars," in IEEE Communications Letters, doi: 10.1109/LCOMM.2020.3045060. 

  10. I. Nasim, A. S. Ibrahim and S. Kim, "Learning-Based Beamforming for Multi-User Vehicular Communications: A Combinatorial Multi-Armed Bandit Approach," in IEEE Access, vol. 8, pp. 219891-219902, 2020, doi: 10.1109/ACCESS.2020.3043301. 

  11. A. S. Ibrahim, "Self-Interference Cancellation and Beamforming in Repeater-assisted Full-duplex Vehicular Communication," IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020. 

  12. A. A. Siddig, A. S. Ibrahim and M. H. Ismail, "Optimum Resource Allocation for Full-Duplex Vehicular Communication Networks," in IEEE Access, vol. 8, pp. 146683-146696, 2020. 

  13. A. A. Siddig, A. S. Ibrahim and M. H. Ismail, "An Optimal Power Allocation and Relay Selection Full-Duplex Store-Carry-Forward Scheme for Intermittently Connected Vehicular Networks," in IEEE Access, vol. 8, pp. 163903-163916, 2020. 

  14. A. A. Siddig, A. S. Ibrahim and M. H. Ismail, "Full-Duplex Store-Carry-Forward scheme for Intermittently Connected Vehicular Networks," IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020. 

  15. B. Colo, A. Fouda and A. S. Ibrahim, “Ray Tracing Simulations in Millimeter-Wave Vehicular Communications,” to appear at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’19), Sep. 2019.

Completed Research

C1. Millimeter Wave (mmWave) Communications for Unmanned Aerial Vehicles (UAVs) 

• NSF-funded project: CNS-1618692 (Oct. 2016 - Sep. 2020)

• Project website: https://sites.google.com/site/nsfmmwuav/

• Objectives: Optimal UAV placement for better coverage-connectivity tradeoff, hybrid mmWave beamforming for secrecy system, and optimal mmWave angular spread. 

• Publications:

  1. M. I. Rochman, V. Sathya, D. Fernandez, N. Nunez, A. S. Ibrahim, W. Payne, M. Ghosh, "A comprehensive analysis of the coverage and performance of 4G and 5G deployments," Computer Networks, 2023, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2023.110060.

  2. M. I. Rochman, D. Fernandez, N. Nunez, V. Sathya, A. S. Ibrahim, M. Ghosh, and W. Payne, "Impact of Device Thermal Performance on 5G mmWave Communication Systems," 2022 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), 2022, pp. 1-6, doi: 10.1109/CQR54764.2022.9918612. 

  3. M. A. Abdel-Malek, K. Akkaya, A. Bhuyan and A. S. Ibrahim, "A Proxy Signature-Based Swarm Drone Authentication with Leader Selection in 5G Networks," in IEEE Access, May 2022, doi: 10.1109/ACCESS.2022.3178121. 

  4. M. Iqbal, V. Sathya, N. Nunez, D. Fernandez, M. Ghosh, A. S. Ibrahim, and W. Payne, "A Comparison Study of Cellular Deployments in Chicago and Miami Using Apps on Smartphones," to appear in The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation and Characterization (ACM WiNTECH'21), Oct. 2021.

  5. M. A. Abdel-Malek, Nico Saputro, A. S. Ibrahim, and K. Akkaya, "UAV-Assisted Multi-path Parallel Routing for mmWave-Based Wireless Networks," Internet of Things, Volume 14, 2021, ISSN 2542-6605, https://doi.org/10.1016/j.iot.2021.100366, (https://www.sciencedirect.com/science/article/pii/S254266052100010X)

  6. M. A. Abdel-Malek, K. Akkaya, N. Saputro and A. S. Ibrahim, "Efficient Authentication of Drones to mmWave Wireless Mesh Networks in Post-Disaster Scenarios," Proc. IEEE Global Communications Conference (Globecom'20), Dec. 2020, doi: 10.1109/GLOBECOM42002.2020.9322282. 

  7. A. Fouda, A. S. Ibrahim, I. Guvenc, and M. Ghosh, “Interference Management in UAV-assisted Integrated Access and Backhaul Networks”, IEEE Access, vol. 7, Iss. 1, pp. 104553-104566, Aug. 2019. 

  8. M. A. Abdel-Malek, A. S. Ibrahim, M. Mokhtar, and K. Akkaya, "UAV positioning for out-of-band integrated access and backhaul millimeter wave network," Elsevier Journal on Physical Communication, Volume 35, Jun. 2019. 

  9. A. Perez, A. Fouda, and A. S. Ibrahim, “Ray Tracing Analysis for UAV-assisted Integrated Access and Backhaul Millimeter Wave Networks,” Proc. 1st IEEE WoWMoM Workshop on Wireless Networking, Planning, and Computing for UAV Swarms, Jun. 2019.

  10. A. Fouda, A. S. Ibrahim, I. Guvenc,  and M. Ghosh, "UAV-Based in-band Integrated Access and Backhaul for 5G Communications," Proc. IEEE Vehicular Technology Conference (VTC-Fall 2018). 

  11. M. A. Abdel-Malek, A. S. Ibrahim, M. Mokhtar, and K. Akkaya, "UAV Positioning for Out-of-Band Integrated Access and Backhaul Millimeter Wave Network," poster presented at the fourth mmW RCN workshop, July 2018. 

  12. A. Fouda, A. S. Ibrahim, I. Guvenc, and M. Ghosh, "UAV-based In-band Integrated Access and Backhaul Communication," poster presented at the fourth mmW RCN workshop, July 2018. 

  13. Y. R. Ramadan, H. Minn, and A. S. Ibrahim, "Hybrid Analog-Digital Precoding Design for Secrecy mmWave MISO-OFDM Systems," IEEE transactions on Communications, 2017.  

  14. M. Abdel-Malek, A. S. Ibrahim, and M. Mokhtar, "Optimum UAV Positioning for Better Coverage-Connectivity Tradeoff," Proc. the 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2017), Oct. 2017. 

  15. M. Abdel-Malek, A. S. Ibrahim, and M. Mokhtar, "UAV Positioning for Improving Coverage-Connectivity Tradeoff in Millimeter-Wave Wireless Channels," poster presented at the NSF second millimeter wave workshop, Jul. 2017.

  16. J. Iscar, I. Guvenc, S. Dikmese, and A. S. Ibrahim, "Optimal Angular Spread of the Multipath Clusters in mmWave Systems under Pilot Contamination," Proc the IEEE 86th Vehicular Technology Conference ( VTC2017-Fall), Sep. 2017. 

C2. Hybrid Optical/RF Backhauling for 5G Networks 

• Qatar Foundation funded project: NPRP-9-077-2-036 (Oct. 2016- Sep. 2019)

• Objective: develop RF and Free Space Optics (FSO) wireless backhauling algorithms for 5G networks that optimize the cost of backhauling planning and the connectivity under data rate and resilience to link failures constraints.

• Publications:

  1. M. H. Al-mekhlafi, A. S. Ibrahim, Y. A. Fahmy, M. M. Khairy, "Resilient hybrid optical-RF backhauling for tiered networks," Physical Communication, Volume 36, 2019, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2019.100814.

  2. M. Almekhlafi, A. S. Ibrahim, Y. Fahmy, H. M. El-Sayed, and M. M. Khairy, "Hybrid Optical/RF Backhauling for 5G Network," Proc. at the 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2017), Oct. 2017. 

C3. Cybersecurity in Self-Driving Cars (REU)

• Mentoring REU student as a part of NSF REU program at the ECE department at FIU. 

• Research works are done by Hunter Berry (Summer'19), Zachary Goodsell (Summer'18), and Talha Koc (Summer'17).

• The CAN (Controller Area Network) in automobiles has been shown to have major security flaws. Increased connectivity in today’s vehicles has exacerbated the problem by creating a larger attack surface to gain access to  the CAN remotely. The goal of this Research Experiences for Undergraduates (REU) research is to show the possibility of using artificial neural networks to detect and filter out anomalous CAN-messages that have been injected to the CAN bus. 

• Publications:

  1. A. .S. Ibrahim and K.J.R. Liu, “Mitigating channel estimation error with timing synchronization tradeoff in cooperative communications,” IEEE Trans. on Signal Processing, vol. 58, pp. 337-348, Jan. 2010.

  2. A.S. Ibrahim, K.G. Seddik, and K.J.R. Liu, “Connectivity-aware network maintenance and repair via relays deployment,” IEEE Trans. on Wireless Communications, vol. 8, pp. 356-366, Jan. 2009.

  3. A.S. Ibrahim, Z. Han, and K.J.R. Liu, “Distributed energy-efficient cooperative routing in wireless networks,” IEEE Trans. on Wireless Communication, vol. 7, pp. 3930-3941, Oct. 2008.

  4. A.S. Ibrahim, A.K. Sadek, W. Su, and K.J.R. Liu, “Cooperative communications with relay selection: when to cooperate and whom to cooperate with?,” IEEE Trans. On Wireless Communication, vol. 7, pp. 2814-2827, Jul. 2008.