Hao Wei
About Hao Wei
Hao Wei is a Senior R&D Engineer specializing in deep learning and autonomous driving at TomTom, with extensive experience in machine learning and a strong academic background.
Current Role at TomTom
Hao Wei is currently serving as a Senior R&D Engineer in deep learning and autonomous driving at TomTom. He has been contributing to the development of autonomous driving technologies since 2019. His work involves leveraging deep learning to enhance autonomous vehicle capabilities. Based in the Berlin Area, Germany, Hao Wei’s role at TomTom focuses on advancing the practical applications of deep learning in the autonomous driving sector.
Experience at Canotic Inc
In 2019, Hao Wei worked as a Machine Learning Engineer at Canotic Inc. He spent 4 months in the Berlin Area, Germany, where he applied his expertise in machine learning to various projects. This position allowed him to gain practical experience and contribute to the company's machine learning initiatives.
Previous Positions at Samsung Electronics
From 2016 to 2018, Hao Wei worked as a Machine Learning Engineer at Samsung Electronics in Beijing City, China. During his 2-year tenure, he focused on developing and implementing machine learning solutions. His experience at Samsung Electronics helped him build a solid foundation in applying machine learning techniques in a corporate setting.
Academic Background and Research Experience
Hao Wei has an extensive academic background, having completed his PhD in Computer Science at the Université de Fribourg/Universität Freiburg, where he focused on deep learning and machine learning research from 2012 to 2016. Before that, he worked as a Research Assistant at ETH Zurich from 2010 to 2012. Additionally, Hao Wei holds a Master of Computer Applications (MCA) in machine learning and pattern recognition from Nanjing University of Technology, achieved between 2006 and 2009, and a Bachelor's degree in Civil Engineering from the same institution, earned from 2002 to 2006.
Early Career and Contributions to Research
Hao Wei began his early career as a Research Assistant at ETH Zurich from 2010 to 2012. Following this experience, he pursued a PhD at the University of Fribourg, contributing to various research projects in deep learning and machine learning. His academic journey underscores a strong foundation in both theoretical and applied aspects of machine learning and pattern recognition, which he later transitioned into his industry roles.