Van-Ha Hoang (Hoàng Văn Hà)

1 About Me

I am currently pursuing my Ph.D. degree in the Department of Software at Sejong University in Seoul, South Korea. I am fortunate to be under the guidance of Prof. Jong-Weon Lee and Prof. Chun-su Park.

Prior to my doctoral studies, I obtained an engineering degree in Software from the University of Information Technology (UIT), VNU-HCM, in 2014. Following that, I pursued a Master’s degree in Computer Science, advised by Prof. Minh-Triet Tran, which I completed in 2018.

In 2018, I had the opportunity to work as an internship student at the National Institute of Informatics (NII) in Tokyo, Japan. During this period, I received valuable guidance from Prof. KITAMOTO Asanobu.

My academic pursuits primarily revolve around computer vision and deep learning, which are my research interests.

2 Research Interests

• Computer Vision: object detection, anomaly detection, action recognition.

3 News

• [2025.04.11] Our paper tittled “Enhancing Fire Detection with YOLO models: A Bayesian Hyperparameter Tuning Approach” just got accepted to CMC-Computers, Materials & Continua 2025.

• [2024.12.26] Our paper tittled “Ensemble Approach for Image Recompression-Based Forgery Detection” just got accepted to IEEE Access 2024.

• [2024.11.06] I have completed the Coursera course Google IT Automation with Python Professional Certificate) by Google. You can view my certificate of completion here.

• [2024.09.05] I have completed the Coursera course Google AI Essentials by Google. You can view my certificate of completion here.

• [2023.10.15] I conducted a peer review of an IEEE Access paper focused on the topics of Deep Learning and Fall Detection.

• [2023.08.16] Our paper tittled “Advances in Skeleton-Based Fall Detection in RGB Videos: from Handcrafted to Deep Learning Approaches “ just got accepted to IEEE Access 2023.

Services

Journal Reviewers

• IEEE Access

Publications