Smart Water Resource Management

Ana Cristina Faria Ribeiro is a researcher in the Department of Chemistry at the University of Coimbra, Portugal. Her area of scientific activity is physical chemistry and electrochemistry. Her main areas of research interest are the transport properties of ionic and non-ionic components in aqueous solutions. Dr Ribeiro obtained her PhD and Habilitation from the University of Coimbra, Coimbra, Portugal.A. K. Haghi is a retired professor and is currently a research associate at the University of Coimbra, Portugal. Professor Haghi holds a BSc in urban and environmental engineering from the University of North Carolina (USA) and holds two MSc degrees, one in mechanical engineering from North Carolina State University (USA) and another one in applied mechanics, acoustics, and materials from the Université de Technologie de Compiègne (France). He was awarded a PhD in engineering sciences at Université de Franche-Comté (France). He has written, co-written, edited, or co-edited more than 1000 publications, including books, book chapters, and papers in refereed journals with over 3800 citations and an h-index of 32, according to Google Scholar database.Professor Haghi is a frequent speaker to national and international audiences. He is the Founder and former Editor-in-Chief of the International Journal of Chemoinformatics and Chemical Engineering and Polymers Research Journal. Professor Haghi has acted as an editorial board member of many international journals. He has served as a member of the Canadian Research and Development Center of Sciences & Cultures. He has supervised several PhD and MSc theses at the University of Guilan (UG) and co-supervised international doctoral projects. He is a regular reviewer of leading international journals.

• Apparent water loss control based on the Geographic Information Systems (GIS).- Computational models for physical Non-Revenue Water (NRW) through Internet of Things (IoT).- Smart water management at the District Metered Areas (DMA).- Preventing water loss by smart control through the Internet of Things (IoT).- Computational modeling and regression analysis for water consumption management.- Advanced Technologies and forecasting models for water  demand.- Consumption optimization of by intelligent data monitoring.- Remote Sensing (RS) and domestic consumption improvers equipment.- Computer model for water systems; practical hints of reducing water loss.