The research in mobility and logistics using digital technology and adding intelligence, autonomy, and decision is a strategic research and development promoted by the Kingdom Vision 2030, in this regard, future mobility is seeing a tremendous worldwide interest. Many industrial and research institutions are trying to get the lead in the development of the related technology and establish themselves as main players in the innovation market. SML research focuses on the three main pillars-Smart and Sustainable Technologies, Mobility Modes and Clean Energy, Logistics and Transportation Studies
Many industrial and research institutions are trying to get the lead in the development of the related technology and establish themselves as main players in the innovation market. SML research focuses on the three main pillars;
Mobility and Digital Urban Systems, Connected Mobility, Intelligent Transport...
Cognitive Automation of logistics, Sustainable Logistics Optimization, Tracea...
Autonomous systems, Swarm Intelligence and Cross-Domain Collaborative Autonom...
Human-machine Teaming, and Sustainable transport Solutions.
Sustainable Transport Via Extended Reality Platform (STEP) Lab is part of the Interdisciplinary Research Center for Smart Mobility and Logistics at KFUPM. The lab advances sustainable mobility with a focus on active modes, micromobility, public transport, and other emerging forms of mobility.
Cognitive Analytics and Decision Intelligence (CADI) Lab is part of the Interdisciplinary Research Center for Smart Mobility and Logistics at KFUPM. The lab explores the intersection of cognitive computing, artificial intelligence, and decision sciences to address complex challenges in mobility, logistics, and beyond.
AI for Smart Mobility (AI4SM) Lab is part of The Interdisciplinary Research Center for Smart Mobility and Logistics at KFUPM. Our research focuses on the intersection between AI and mobility systems, services and business models.
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Dr. Salman Habib has published three solo-author research papers based on his research center pro...
The study proposes a robust MILP framework to optimize short-term scheduling and charging of Batt...
Computers & Industrial Engineering Certificate of Reviewing Awarded for 42 reviews between Ju...
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