Nhat-Minh Le-Phan

Nhat-Minh Le-Phan

Faculty, Department of Automation Engineering, Hanoi University of Science and Technology

Home Page of Nhat-Minh Le-Phan

Hi everyone! Nhat-Minh here. I’m a researcher and faculty member in the Department of Automation Engineering at the School of Electrical and Electronic Engineering, Hanoi University of Science and Technology (HUST). I hold both undergraduate and master’s degrees from HUST, graduating summa cum laude and earning a perfect grade for my Master’s thesis. I had the privilege of working under the supervision of Prof. Phuoc Doan Nguyen for my Master’s thesis, Assoc. Prof. Nga Thi-Thuy Vu for my undergraduate thesis, and I also work closely with Dr. Minh Hoang Trinh. Before joining HUST, I spent two years as a guidance and control engineer at Viettel Aerospace Institute. My research interests include networked control, learning-based control, missile guidance algorithms, and probabilistic approach to control problems. Please feel free to reach out if you’re interested in potential research collaborations!

Important!!! I’m looking for an open PhD position.

Research

Networked control: Develop consensus algorithms for random graphs with multidimensional interactions (matrix-weighted graphs) and create novel algorithms for formation control, network localization, and distributed operational research, grounded in control theory.

Learning-based control: Develop innovative reinforcement learning-based control algorithms for various systems, including renewable energy systems, robotic systems, and aerial vehicles.

Missile guidance: Impact time control guidance, Impact angle control guidance and cooperative missile guidance.

Probabilistic approach to control problems: Explore gossip-type algorithms and their variations for applications in multi-agent systems, focusing on efficient information exchange, decentralized consensus, and coordination.

Awards and Honors

  • Viettel excellence scholarship (2024) Full Master’s Scholarship awarded in recognition of outstanding academic achievement as a master’s student.
  • Student Scientific Research (2022) Received the third prize for the topic: Application of near-infrared spectral and machine learning.