Teaching & Mentoring

Teaching Philosophy

Learn by Doing. Think Critically. Connect Disciplines. Create with Purpose.

I believe effective learning combines strong theoretical foundations with hands-on experience and interdisciplinary thinking. My teaching encourages students to connect concepts across fields, experiment with new ideas, and apply their knowledge to real-world challenges. Through programming, project-based learning, and practical problem-solving, I aim to develop independent learners who can adapt to new technologies, collaborate across disciplines, and transform knowledge into meaningful solutionsh programming, experimentation, and real-world applications.

Courses & Teaching Experience

Jeonbuk National University (JBNU), South Korea

Graduate Courses (Master’s and Ph.D. Programs) — Department of Electronics Engineering

Advanced Intelligent Programming — Spring 2022–Present
Advanced Computer Vision — Fall 2022
Pattern Recognition — Spring 2021
Parallel Computer Vision — Fall 2020
Machine Learning — Fall 2019 · Teaching Assistant to Prof. Dong Sun Park

Technical University of the North (UTN), Ecuador

Business Intelligence and Analytics

Master of Business Administration · January 2025 – Present

Undergraduate Engineering Courses — Faculty of Engineering

August 2012 – February 2014

Robotics and Artificial Intelligence
Mechatronic Design
Control Systems
Electronics
Microcontroller Programming
Manufacturing Processes

Supervision and Mentorship

Jeonbuk National University (JBNU), South Korea

Ph.D. Supervision/Mentoring — Department of Electronics Engineering

2024 - Present

Jiaqi Liu (Ph.D., 3rd year)
Robotics & Al; re-identification with multi-camera view.

2020 - 2026

Shuiie Han (Ph.D.) - Postdoc at Guiling AI Center, China
Multi-object tracking with multi-camera video; face recognition.

2021 - 2024

Dong Jiuquing (Ph.D.) - Assis. Prof. at Shanghai Polytechnic University, China
Open-world recognition and novel category discovery; large-scale language-vision models.

2020 - 2024
Meng Yao (Ph.D.) - Assis. Prof. at Guiling University, China

Open-set recognition in time-series data; out-of-distribution modeling.

2018 - 2022

Mingle Xu (Ph.D.) - Assis. Prof. at Guiling AI Center, China
Artificial data generation through image translation, self-supervised learning.

2020 - 2024

Jaehwan Lee (Ph.D.) - Postdoc at RDA Korea
Anti-Nuclear Antibody (ANA) pattern recognition in medical images.

Master's Supervision/Mentoring — Department of Electronics Engineering

2026 - Present

Tan Dat Nguyen (Master, 1st year)

Multimodal data fusion and sequential modeling.

2026 - Present

The Vihn Hoang (Master, 1st year)

3D modeling with large-vision models.

2022 - 2024

Fahad Nazir (Master) - Researcher at Khalifa University, UAE

Multi-camera AI for cattle activity recognition and behavior analysis.

2022 - 2024

Ali Asgher (Master) - Researcher at Chemnitz Univ., Germany
Deep learning-based plant growth analysis using spatio-temporal data.

2016-2018

Haseeb Nazki (Master) - Ph.D. student at University of St. Andrews, Scotland
Generative Adversarial Networks for artificial data generation in agriculture.