We are currently working on managing big data generated from a wastewater treatment plant and applying artificial intelligence to wastewater treatment plant operations. Deep learning was used to predict pipe failure and incorporated into an expert system to develop optimal water transmission main management strategies in multi-regional water supply facilities. Another recent research focuses on phosphorus removal from urban and agricultural runoff using tire-derived aggregate (TDA). We found that shredded tires are capable of removing toxic organic compounds and heavy metals. We applied this concept to landfills by replacing leachate collection system media with shredded tires. A similar concept was also applied to golf courses to remove pesticides by installing a buffer zone packed with shredded tires. A 20-cm thick shredded tire layer was found to remove ≥ 90% of 37 pesticides out of 51 pesticides evaluated. We developed a systematic approach to determine optimum operating conditions to maximize biological phosphorus removal for high phosphorus-bearing industrial wastewaters such as dairy wastewater. Previous research focused on the biological treatment of toxic compounds in the environment and waste treatment processes, understanding of the biological phosphorus removal mechanism, development of new media for removal of toxic compounds, river restoration, river water quality modeling, and beneficial reuse of waste products.