🎓 Academic & Research Strategy
Instead of following traditional 4-year degree pacing, my academic strategy is built on acceleration, high-impact research, and specific knowledge.
🔬 Research Focus: ELISA Lab
I focus my academic research in the ELectrified and Intelligent Systems Automation (ELISA) Lab under Dr. Jun Chen.
Core Areas of Focus
- AI-Assisted Control & Model Predictive Control (MPC): Bridging classical control theory with real-time neural network optimization.
- Deep Reinforcement Learning (RL) for Autonomous Systems: Training agents for vehicle dynamics, active suspension, and motor control.
- Embedded AI & Real-Time Firmware: Deploying low-latency inference models directly onto microcontrollers (RP2350, STM32, RTOS).
🎯 The Research-First Philosophy for PhD Admissions
In top-tier EECS & Mechatronics PhD programs, research output > raw GPA.
- Publication Output: Aiming for 1+ peer-reviewed conference paper (ICRA / IROS / IEEE CASE).
- Open-Source Artifacts: Every control algorithm and firmware harness is open-sourced under Pyintel.
- Lab Mentorship & Hardware Validation: Validating theoretical control models on physical testbeds (custom PCBs, motorized rigs) rather than pure simulation.