Here is a simple overview of my study and life experience at Duke University, during which I've been pursuing my Master degree. Two Years is actually very short. Lots of regret though.
A bit Background
I finished my undergraduate study at Sun Yat-Sen University in Guangzhou (China) in 2018 and got admitted into Duke luckily. - Undergraduate Major: Energy and Dynamics Engineering - Master Major: Mechanical Engieering (Robotics Track)
Timeline
2018 Fall (Aug - Dec)
- ME627 - Linear Systems Theory (core)
- ECE551 - Programming, Data Structures, and Algorithms in C++ (core)
- MATH541 - Applied Stochastic Process (Math)
2018 Winter Vacation
- Move to live with a local christian church
- One-Week Trip at LA with Yellow
- One-Week Deep Learning Course (like a very short-term workshop)
2019 Spring (Jan - May)
- CS527 - Computer Vision (core)
- STA561 - Probabilistic Machine Learning (elective)
- ME555: Advanced Robotics System Design (core)
- Summer Internship Searching
2019 Summer Vacation
- Summer Internship @ Aqueti in Kunshan, nearby DKU
2019 Fall (Aug - Dec)
- ECE590: Smart Camera (elective)
- ECE588: Image Video Procession (elective)
- CS671: Machine Learning (core)
- Indepdent Study with Dr. David Brady (elective)
- Full-time Job Searching
2020 Spring (Jan - NOW)
- Continue Full-time Job Searching
- Graduate Poster-based Project
- Visa Application for My Potential Career
- Stay at Home due to COVID-19
What I did well
- overcame the gap from traditional engineering that I don't like to software-related engineering field that I think I can do well
- adapted well into living a western-style life
- met some nice friends
- well.... (I'll fill up later)
What I did not well
- did not prepare well or grab enough information before arriving at Duke
- got lagged behind while compared with other peers
- got upset easily in front of interview failures
Goals in April
- maintain and improve my personal website apperance and functionalities
- udacity - becoming MLE
- udacity - a/b testing
- coursera nlp
- stanford nlp cs224
- spark projects review
- hadoop projects review
- 九章算法强化班
- 九章系统设计班
Let's see what I'll be up to in May......
Some Resume Experience Backup
- Connected Vehicles on Traditional Traffic Flow (Feb/2018 - May/2018)
- Model Parameters Calibration: Calibrated Intelligent Driver Model and Cooperative Intelligent Driver Model that characterizes the car-following dynamics of Human-driven Vehicle (HV) and Connected Vehicle (CV) respectively.
- Numeric Simulation & Parameter Tuning: Utilized Matlab to numerically simulate dynamics of HVs and CVs running on a one-way straight road; Tuned parameters related to cooperative strategy among CVs to maximize the positive effects.
