Aspiring Embedded Engineer - Control Systems & AI for Sensing

Kieu Nguyen Hoang Thi

Embedded Intern

Dob: **/**/2004

Gender: Male

Phone: 096*******

Email: ***********@*****.***

Website: linkedin.com/in/hoang-thi-a43168273/

Address: Hoang Mai, Ha Noi, Viet Nam

CAREER OBJECTIVE

Seeking an internship opportunity to gain hands-on experience, develop professionally, and contribute to real-world projects in a dynamic working environment.

EDUCATION

09/2022 - Present Hanoi University of Science and Technology Major: Control Engineering and Automation (Elite Program) CPA: 3.0/4.0

WORK EXPERIENCE

03/2025 - Present Smart Sensor Laboratory

Student Researcher

• Re-implemented an LSTM-based human activity recognition model in PyTorch using WiFi CSI data and the UT-HAR dataset.

• Developed an EKF-based Li-ion battery SOC estimation workflow using a 2RC equivalent circuit model and HPPC data.

SKILLS

Programming

Languages

C, C++, Python

Microcontrollers STM32, ESP32

MCU Peripherals UART, I2C, SPI, PWM, ADC, GPIO

Tools VS Code, MATLAB, STM32CubeIDE, PyTorch, Proteus, LTspice, Keil C AI Tools Effective use of AI tools for research, documentation, and productivity English TOEIC LR 775

Soft Skills Problem-solving, teamwork, self-learning, ability to work independently PROJECTS

10/2025 - 02/2026 LI-ION BATTERY SOC ESTIMATION USING 2RC ECM AND EXTENDED KALMAN FILTER Thesis II

• Developed a second-order Thevenin equivalent circuit model to capture Li-ion battery voltage dynamics during charge/discharge operation.

• Identified SOC-dependent model parameters from HPPC test data and designed an Extended Kalman Filter for SOC estimation under nonlinear operating conditions.

• Tech Stack: 2RC ECM, EKF, HPPC, OCV-SOC modeling, parameter identification, grid search, least squares.

Repository: https://github.com/imhoangt/thesis_ii

10/2025 - 02/2026 Embedded DC Motor Control System Design Embedded Control Systems Design Course

• Designed an embedded motor-control system for industrial-style applications with digital/analog I/O, encoder feedback, current sensing, and fault monitoring.

• Built the control architecture around an STM32-based controller with PI speed/current loops, isolated interfaces, and RS-485/Modbus communication.

• Tech Stack: STM32F103C8T6, PI control, PWM, RS-485, Modbus RTU, MCP3204, ADuM1401, ISO1211, DAC7760.

Repository: https://github.com/imhoangt/dc_motor

03/2025 - 07/2025 Human Activity Recognition Based on WiFi Signals Thesis I

• Re-implemented an LSTM-based human activity recognition model using CSI amplitude from WiFi signals and evaluated it on the UT-HAR dataset.

• Trained and tested the model on 7 activity classes, achieving 76.53% overall accuracy.

• Tech Stack: Python, PyTorch, LSTM, WiFi CSI, UT-HAR dataset, deep learning, data analysis. Repository: https://github.com/imhoangt/thesis_i

03/2025 - 07/2025 Magnetic Levitation Control System Digital Control System Course

• Modeled and linearized a magnetic levitation system around its operating point to support controller design for stable levitation.

• Implemented the prototype on STM32 with Hall-sensor feedback, PWM-based actuation, and simulation support for controller validation.

• Tech Stack: STM32F103C8T6, PID control, PWM, SS49E Hall sensor, L298N, MATLAB/Simulink. Repository: https://github.com/imhoangt/mag_lev

© topcv.vn

Contact this candidate