Modern 5G communication networks demand base station antennas that accommodate multiple frequency bands within a compact aperture, remain backward compatible with legacy systems, and fit into increasingly constrained installation spaces. Meanwhile, ensure reliable performance and minimal interference. My PhD research addresses these challenges by developing shared-aperture, wide-scanning, low-profile antenna arrays that integrate multiple frequency bands into a single aperture while maintaining stable radiation patterns, broad bandwidth, and wide scanning angles. 

Key innovations include the integration of frequency-selective surfaces, artificial magnetic conductors, and high-permittivity materials, combined with advanced high-precision 3D printing techniques and a novel, data-driven Bayesian optimization framework. These technologies enable rapid and cost-effective design iterations, paving the way for AI-driven electromagnetic design and multi-band antenna integration. The impact of these studies extends across multiple domains such as telecommunications companies and network operators to enhance the performance and efficiency of 5G base stations. The proposed arrays are well-suited for deployment in both densely populated urban centers and rural areas, offering enhanced connectivity, improved coverage, and reduced infrastructure costs.

By ensuring the coexistence of different frequency bands with minimal interference, this work supports current 5G deployments as well as future wireless standards such as 6G, which require operation at even higher frequencies and tighter integration. Overall, this research provides a comprehensive framework for next-generation antenna solutions that are cost-effective, scalable, multifunctional, and AI-assistance, which can evolve with the rapidly changing demands of modern and future wireless networks.