Dr. Mohammed Al-Turki is an Assistant Professor and Chairman of Civil Engineering Department at Jubail Industrial College in Saudi Arabia, specializing in civil engineering with a focus on traffic engineering, artificial intelligence, and sustainable infrastructure. His academic journey began in 2011 as an Instructor at Jubail University College, immediately after earning his B.Sc. in Civil Engineering from the same institution. He advanced his expertise with an M.Sc. in 2015 and a Ph.D. in 2023 from King Fahd University of Petroleum & Minerals (KFUPM), where his doctoral research explored the impact of autonomous vehicles on signalized intersection performance in mixed traffic environments. Dr. AL-Turki has a prolific publication record, contributing to high-impact peer-reviewed journals with research on traffic signal optimization through machine learning, spatiotemporal crash prediction models, and the transformative effects of autonomous vehicles on traffic flow and emissions. His diverse teaching and research experience, encompassing roles as a Lecturer and Ph.D. researcher, underscores his commitment to advancing innovative solutions in transportation engineering.
Dr. Mohammed Al-Turki is an Assistant Professor and Chairman of Civil Engineering Department at Jubail Industrial College in Saudi Arabia, specializing in civil engineering with a focus on traffic engineering, artificial intelligence, and sustainable infrastructure. His academic journey began in 2011 as an Instructor at Jubail University College, immediately after earning his B.Sc. in Civil Engineering from the same institution. He advanced his expertise with an M.Sc. in 2015 and a Ph.D. in 2023 from King Fahd University of Petroleum & Minerals (KFUPM), where his doctoral research explored the impact of autonomous vehicles on signalized intersection performance in mixed traffic environments. Dr. AL-Turki has a prolific publication record, contributing to high-impact peer-reviewed journals with research on traffic signal optimization through machine learning, spatiotemporal crash prediction models, and the transformative effects of autonomous vehicles on traffic flow and emissions. His diverse teaching and research experience, encompassing roles as a Lecturer and Ph.D. researcher, underscores his commitment to advancing innovative solutions in transportation engineering.