CV

Academic background, research experience, and professional service.

Curriculum vitae

Chieh (Emery) Tsai

Ph.D. Researcher · Safety-Critical Autonomous Systems & Control

Research profile

Ph.D. researcher in Electrical and Computer Engineering specializing in closed-loop control, resilient cyber-physical systems, state estimation, and safety-critical autonomy. Experience in learning-based control, runtime assurance, sensor fusion, embedded mechatronic systems, and real-world UAV and autonomous-vehicle validation.

Education

2024–Present

University of Arizona

Ph.D., Electrical & Computer Engineering

GPA: 4.00 / 4.00

2020–2023

National Taiwan University of Science and Technology

M.S., Electronic & Computer Engineering

GPA: 3.8 / 4.0

2016–2020

National Chi Nan University

B.S., Electrical & Computer Engineering

GPA: 3.75 / 4.0

Research & engineering experience

Aug. 2024–Present

Graduate Research Assistant

University of Arizona · Autonomic Computing Lab

  • Develop resilient state-estimation and closed-loop autonomy frameworks for safety-critical systems under sensor faults, cyber-physical disturbances, spoofing, and unreliable measurements.
  • Investigate runtime assurance, fault-tolerant control, sensor fusion, and learning-based control for autonomous vehicles and UAVs; validate methods in simulation and physical experiments.
  • Developed online reinforcement-learning methods for safe gain scheduling in nonlinear quadrotor control and safety-constrained learning and planning for multi-UAV systems.
  • Industry UAV collaboration: integrate onboard perception, embedded computing (Raspberry Pi 5 + Hailo AI), sensing, guidance, trajectory planning, and ArduPilot flight control for real-time autonomous interception.

Additional engineering experience

NIWC Pacific 5G Forensics training environment; Quanser QCar/QDrone; Crazyflie; UAV hardware integration, Betaflight/ArduPilot configuration, and flight testing.

Technical expertise

Control & cyber-physical systems

Closed-loop control, nonlinear control, resilient control, state estimation, sensor fusion, runtime assurance, reinforcement learning, and trajectory planning.

Languages & tools

  • Python
  • MATLAB / Simulink
  • ROS 2
  • PyTorch
  • TensorFlow
  • C / C++
  • Verilog
  • ArduPilot

Honors, service & teaching

Honors & awards

  • IEEE Best Thesis Award
  • Meritorious Award, NCSIST Pickathon Robotic Arm Competition
  • Best Presentation Award, ICSSE
  • Outstanding Undergraduate Capstone Project

Professional service

Reviewer, IEEE Transactions on Automation Science and Engineering (T-ASE), 2026.

Teaching

ECE 274A Digital Logic Laboratory
University of Arizona · 2024–2025