Hanhan Zhou
About Hanhan Zhou
Hanhan Zhou is a Research Assistant at The George Washington University, where he has worked since 2019. He holds a PhD in Computer Engineering and has experience in various research areas including computer vision and cyber security.
Work at The George Washington University
Currently, Hanhan Zhou serves as a Research Assistant at The George Washington University, a position held since 2019. Prior to this role, Zhou worked as a Graduate Ambassador at the School of Engineering & Applied Science from 2017 to 2018. This experience involved engaging with prospective students and providing insights into the graduate program.
Education and Expertise
Hanhan Zhou completed a Master of Science in Electrical and Electronics Engineering at The George Washington University from 2017 to 2019. Zhou is currently pursuing a Doctor of Philosophy in Computer Engineering at the same institution, a program that began in 2019 and is expected to conclude in 2023. Zhou's educational background also includes a Bachelor's degree in Electrical and Electronics Engineering from Zhejiang Sci-Tech University, earned from 2013 to 2017.
Background in Research and Development
Zhou has a diverse background in research and development, having worked as a Research Assistant at the Chinese Academy of Sciences for one month in 2016. Zhou also gained practical experience as a Software Engineer Intern at Beijing Lanxum New Technology Co., Ltd. from 2016 to 2017. Additionally, Zhou served as a TOEFL Training Assistant at New Oriental Education & Technology Group in 2015.
Technical Skills and Research Focus
Hanhan Zhou possesses a range of technical skills, including web development using HTML, CSS, and JavaScript frameworks such as React.js and Redux. Zhou's research interests encompass computer vision, reinforcement learning, cyber security, and cloud computing. Zhou is experienced in both relational databases, such as MySQL, and NoSQL databases like MongoDB. Furthermore, Zhou has expertise in mobile development for Android and iOS platforms, and knowledge in distributed systems design, particularly with MapReduce.