Monday, September 9, 2019

URSP Student Dang Nguyen Examines a Frequency-modulated Contious Wave Radar through Data Analysis and Collection


My team was assigned to examine the wireless sensor named Frequency-modulated continuous-wave (FMCW) radar. Compared to other kind of sensors from other teams such as Camera-based sensor or Inertial Measurement Unit (IMU) sensor, I can see the huge potential of wireless sensor in the future when it comes to body movements recognition and translation, especially in term of privacy.  The most exciting, yet challenging, part is that a version of FMCW sensor that my team examined was developed just a few years ago, which means only a few studies has conducted. After this summer research, I hope my team’s contributions helps others have a better understanding of this sensor.

MachineLearning is one of the most interesting fields to be in right now for computer science majors. However, this technology requires a decent background in Python and critical thinking. Be being involved in this research, I have learned how to solve a complex problem by diving it into smaller chunk of tasks. Additionally, I have learned how to work as a team, communicate with each other on a daily basis, and explain personal ideas eloquently. 

In the morning, most of the time, we collected data. After lunch, we met with our mentors to discuss how everything is going and what are the next steps need to be done for the rest of the week. When I got home, I usually wrote everything my team did on that day to the website and came up with the plan for the next day. 

Getting involved in a research first time is a unique experience. Being a researcher requires determination, passion, and self-discipline. Every so often, researchers have to focus on the ultimate goals in order to get motivated. An experimental result that is considered right today might prove to be wrong tomorrow. Researchers are those who pioneer to dig deeper into the problem every day in order to either consolidate the knowledge or get closer to yet-to-be-known understanding.