Date: Monday, January 10, 2022

Time: 12:30pm-1:20pm                                          

Link for Virtual Presentation: https://gatech.bluejeans.com/378150629

Speaker: Van Nguyen 

Speaker’s Title: Staff Engineer, Machine Learning Research

Speaker’s Affiliation: Qualcomm Technologies Inc., San Diego, California

Seminar Title: My Transition from Traditional Signal Processing to Machine Learning

Abstract: The past five years at Qualcomm were an exciting adventure to me and I would like to share it with you. I will cover the challenges, opportunities, decisions, and lessons learned with the focus on my transition from traditional signal processing to deep learning. I will go over how to apply for co-op, internships, or permanent positions. We have way more exciting problems to solve than the time we have, so come help us out!

Biosketch: Van Nguyen received the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the Georgia Institute of Technology in 2011 and 2016, respectively. She has worked on algorithm development for ultrawideband radar, ultrasound, haptics, audio, and speech through years of research and development in academia and industry. As a Staff Machine Learning Research Engineer in the Multimedia department at Qualcomm, she is currently leading the development of speech recognition algorithms using deep learning. She received the Vietnam Education Foundation Fellowship from 2009 to 2011 from the US Congress to pursue graduate study in the US.