Tian Lan
About Tian Lan
Tian Lan is a Full Professor at The George Washington University, specializing in network optimization, machine learning, and cloud/edge computing. He holds a PhD from Princeton University and has contributed to various research projects funded by notable organizations.
Work at The George Washington University
Tian Lan has held multiple academic positions at The George Washington University. He served as an Assistant Professor from 2010 to 2016, followed by a role as Associate Professor from 2016 to 2021. In 2021, he was promoted to Full Professor, a position he currently holds. His tenure at the university spans over a decade, during which he has contributed to the academic community through teaching and research.
Education and Expertise
Tian Lan has an extensive educational background. He earned a Bachelor's degree in Electrical Engineering from Tsinghua University from 1999 to 2003. He then pursued a Master of Science at the University of Toronto from 2003 to 2005, followed by a Doctor of Philosophy at Princeton University from 2005 to 2010. His areas of specialization include network optimization, machine learning, and cloud/edge computing.
Research Funding and Projects
Tian Lan has been actively involved in various research projects that have received funding from notable organizations. His work has garnered support from government agencies such as the National Science Foundation (NSF) and the Office of Naval Research (ONR), as well as from major technology companies including CISCO, AT&T, and Meta. His research focuses on innovative solutions in technology and engineering.
Previous Experience at Telcordia Technologies
In 2008, Tian Lan completed a summer internship at Telcordia Technologies, where he gained practical experience in the technology sector. This internship lasted for three months and provided him with insights into the application of theoretical knowledge in a professional environment.