Professor Mohamed Kheireddine Aroua completed his PhD in 1992 at the University of Nancy 1, France. Before joining Sunway University, he served for more than 23 years at University of Malaya where he held many administration positions such as Deputy Dean at the Institute of Graduate Studies, Head of Chemical Engineering Department and Head of the Center for Separation Science and Technology. His research addresses the fundamental and technical issues related to water, energy and environment. He is interested in developing green solvents, sorbents and processes for CO2 capture and utilisation; treatment of water and wastewater using novel adsorbents and advanced electrochemical processes; production of biodiesel and transformation of its by-products to value-added chemicals; and providing safe water to communities in remote areas through the application of membrane technology. He has supervised the completion of 22 PhD and 20 Master’s students. His research has generated more than 150 articles in ISI-ranked journals and over 19,101 citations, and his h-index is 67.
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An Intelligent Management System for Business Facilities Based on the Joint Use of Iot and Unmanned Technologies
The development of systems for intelligent control necessitates the creation of a comprehensive hardware and software complex capable of accurately emulating the methods of human decision-making. Unlike traditional computer modeling approaches, which often simulate abstract models, the emulation framework proposed in this article integrates processes for adaptation, learning, and planning within uncertain conditions, as well as handling vast volumes of data. This article presents a software and hardware complex based on both IoT and unmanned technologies. The convergence of these technologies on a unified IoT information platform significantly broadens the scope of adaptive (intelligent) management challenges faced by businesses amid uncertain conditions. Specifically, remote monitoring data (including multispectral imagery) captured by multicopters, combined with real-time sensor data from IoT devices, are used in the system to form the foundation for extracting contextual knowledge and facilitating prompt operational decisions
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