<p>Material degradation, environmental threats, and complicated loading conditions are increasingly becoming attractive threats to the sustainability of critical civil infrastructure. Structural Health Monitoring (SHM) of smart materials has been urgently needed to maximize the service life of such structures to reduce the carbon footprint of premature repair or replacement. This is a complete review of the current advances in wireless sensing technology and functionalized construction material that aims at managing infrastructure in real-time. The emphasis on using innovative sensing methods such as screen-printed metasurfaces, piezoelectric transducers (PZT) and self-sensing nano-cementitious materials that can be embedded within a structure is also addressed in the literature review. This approach offers improved durability and greater ease of incorporation into the structural matrix than do discrete sensor technologies. In addition to the smart materials described above, the literature review explores how to integrate these advanced materials with digital technologies (e.g., BIM). It specifically evaluates whether the application of machine learning (e.g., CNN, RNN) to automatically interpret the large amounts of sensor data generated by these smart materials will improve the ability to predict when maintenance needs to occur. Results show that although the deep learning models achieve much higher performance than the conventional technique (up to 96% accuracy), the future of sustainable infrastructure is in designing robust, energy-saving, and self-sensing material systems that will decrease human intervention and ensure long-term structural resilience.</p>