Caglayan Dicle
About Caglayan Dicle
Caglayan Dicle is a Senior Research Scientist with extensive experience in computer vision and machine learning, specializing in solutions for autonomous vehicles. He holds a B.S. in Computer Science, an M.S. in Systems and Control Engineering, and a PhD in Electrical and Computer Engineering.
Work at Motional
Caglayan Dicle has been employed at Motional as a Senior Research Scientist since 2020. In this role, he focuses on developing solutions that enhance the intelligence of autonomous vehicles. His work involves applying optimization techniques in dynamical systems and conducting closed-loop testing to improve planning functions.
Education and Expertise
Caglayan Dicle holds a Bachelor of Science in Computer Science from Yeditepe University, completed between 1999 and 2004. He furthered his education with a Master of Science in Systems and Control Engineering from Boğaziçi University from 2004 to 2007. He earned a PhD in Electrical and Computer Engineering from Northeastern University, where he studied from 2009 to 2016. His expertise includes machine learning, computer vision, object tracking, trajectory planning, and prediction.
Background
Caglayan Dicle began his career as a Teaching Assistant at Yeditepe University from 2002 to 2004. He later worked as a Summer Intern at Telenity in 2002. His research experience includes positions as a Research Assistant at Northeastern University from 2009 to 2016 and as a Research Intern at MERL in 2015 and from 2008 to 2009. He has also held roles at various organizations, including Disney Research, nuTonomy, Ditto Labs, and Shutterstock.
Professional Experience
Caglayan Dicle has a diverse professional background in research and engineering. He worked as a Lab Associate at Disney Research in 2013 and again in 2014. He served as a Computer Vision Engineer at Ditto Labs and Shutterstock from 2016 to 2017. He was a Senior Research Scientist at nuTonomy from 2018 to 2020. His experience spans various locations, including Greater Boston and Cambridge, USA.
Research Focus
Caglayan Dicle specializes in solving complex problems related to autonomous vehicles. His research focuses on the application of optimization techniques in dynamical systems, enhancing the capabilities of vehicles through machine learning and computer vision. He is involved in closed-loop testing to strengthen planning functions, contributing to advancements in the field of autonomous technology.