Term 221
Intelligent Water Quality Monitoring and Treatment
Project Type: Self-Initiated
Project Description
Automation of the greywater treatment process, reducing the overall energy consumption and optimizing the process by applying artificial intelligence (AI), cloud services, and networking
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Project Team
Lebdah, Abdulaziz Naif M Bin
CHE
Hussain Alsaleh
COE
Mohammed Khalid Braika
COE
Abdulrahman Ali Aljaber
COETeam Coach
DR. Zayd Leseman
ProfessorDeanship of Academic Development - General
Interdisciplinary Research Center for Advanced Materials