SGL LAB
SGL LAB
The Smart Green Logistics (SGL) Laboratory is a cutting-edge research facility focused on revolutionizing the logistics industry through the integration of smart technologies and sustainable transportation/logistics practices. At its core, the SGL Laboratory seeks to address the challenges facing modern logistics, such as inefficiencies, environmental impact, and the need for innovation.
The Smart Green Logistics (SGL) Laboratory is a cutting-edge research facility focused on revolutionizing the logistics industry through the integration of smart technologies and sustainable transportation/logistics practices. At its core, the SGL Laboratory seeks to address the challenges facing modern logistics, such as inefficiencies, environmental impact, and the need for innovation.
The SGL focuses on a variety of research related to environmental issues in the fields of transportation and logistics, aiming to shape the future of logistics towards a greener and smarter paradigm.
The SGL focuses on a variety of research related to environmental issues in the fields of transportation and logistics, aiming to shape the future of logistics towards a greener and smarter paradigm.
The SGL’s research area includes
1. Environmental modeling & assessment of greenhouse gases and air pollutions emissions from transportation and logistics sectors
2. Developing effective strategies for introducing electric/autonomous/shared vehicles
3. Developing a state-of-the-art modeling/simulation programs for analyzing complex mobility/logistics activities to provide a platform that facilitates stakeholder participation (citizens/government/industry) and collaborative solution development, based on AI, simulation, and advanced computing technique.
The SGL’s research area includes
1. Environmental modeling & assessment of greenhouse gases and air pollutions emissions from transportation and logistics sectors
2. Developing effective strategies for introducing electric/autonomous/shared vehicles
3. Developing a state-of-the-art modeling/simulation programs for analyzing complex mobility/logistics activities to provide a platform that facilitates stakeholder participation (citizens/government/industry) and collaborative solution development, based on AI, simulation, and advanced computing technique.
To this aim, the SGL’s research groups utilize emerging technologies, including big-data, machine-learning, artificial intelligence (AI), simulation, statistics, modeling, data visualization/analytics, distributed computing, etc. We are seeking passionate and skilled students and researchers, to engage in meaningful research collaborations.
Please feel free to contact Prof. Daejin Kim at daejin.kim@inha.ac.kr.
To this aim, the SGL’s research groups utilize emerging technologies, including big-data, machine-learning, artificial intelligence (AI), simulation, statistics, modeling, data visualization/analytics, distributed computing, etc. We are seeking passionate and skilled students and researchers, to engage in meaningful research collaborations.
Please feel free to contact Prof. Daejin Kim at daejin.kim@inha.ac.kr.
