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Dr. Shahnila Rahim is an active researcher in Artificial Intelligence and Wireless Communication. Her research prominently involves applying advanced AI techniques to tackle complex problems in wireless communication and aerial computing systems. Dr. Rahim’s work encompasses developing algorithms for energy-efficient UAV operations, enhancing 5G networks, and modeling wireless channels. In addition to her research, she has taught courses such as Data Structures, Object-Oriented Programming, Programming Fundamentals, and Operating Systems at the undergraduate level.

Dr. Shahnila Rahim’s research interests center on wireless communication and artificial intelligence (AI). She is actively exploring the use of AI to develop adaptive algorithms for optimizing UAV trajectories and data transmission in Space-Air-Ground Networks, aiming to improve performance and energy efficiency. Dr. Rahim integrates these AI methods with wireless communication systems to enable more automated and efficient network operations. She is also working on temporal graph modeling for data routing in 6G non-terrestrial networks and guides master’s students in developing and integrating Time-Extended Graph (TEG) models with AI for advanced network applications.

Dr. Shahnila Rahim have authored and submitted grant proposals to secure funding for research projects, demonstrating her ability to bridge academic research with practical applications.

Recent Publications:

1. Rahim, S., Peng, L. "TinyFDRL-Enhanced Energy-Efficient Trajectory Design for Integrated Space-Air-Ground Networks," IEEE Internet of Things Journal, Published, Jan 2024.

2. Rahim, S., Peng, L., Chang, S., Ho, P.-H. "On collaborative multi-UAV trajectory planning for data collection," Journal of Communications and Networks, vol. 25, no. 6, pp. 722-733, Published, Dec 2023.

3. Rahim S., and L. Peng, "Intelligent Space-Air-Ground Collaborative Computing Networks," in IEEE Internet of Things Magazine, vol. 6, no. 2, pp. 76-80, Published, June 2023.