Dat Ngo (응오닷)

Assistant Professor
datngo (at) ut.ac.kr
Department of Computer Engineering
Korea National University of Transportation, Republic of Korea

Schedule an appointment(상담하러 가기)

News

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• I am recruiting Master and Ph.D. students in Republic of Korea to research digital image processing, FPGA prototyping, SoC design, and embedded system design. Please feel free to reach out if you have questions!

Biography

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I am a computer scientist driven by a passion for advancing knowledge in cutting-edge technologies. I am striving to make noteworthy contributions to academia and research.

Education
• Bachelor Degree	Computer Engineering, Danang University of Science and Technology	2016
• Master Degree	Electronics Engineering, Dong-A University	2018
• Ph.D. Degree	Electronics Engineering, Dong-A University	2022
Experience
• Postdoctoral Researcher	Department of Electronics Engineering, Dong-A University	2022.03. ~ 2022.11.
• Research Professor	CHA Bio Complex (Pangyo Techno Valley), CHA University	2022.12. ~ 2024.02.
• Assistant Professor	Korea National University of Transportation	2024.03. ~ present
Research interests
• Machine learning/Deep learning
• Digital signal and video processing
• Biosignal and bioimage analysis
• SoC and MPSoC design
• Embedded system design
Research output
• 17 first-authored SCIE papers
• 4 KCI papers
• 3 international conference papers
• 8 patents in Republic of Korea

Table of Content

• Awards and Honors
• Journal Papers
• Conference Papers
• Released Open Source Tools, Datasets, and Teaching Materials
• Teaching
• Projects

Awards and Honors

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1. Gold Medal in the Regional Olympic Contest in Physics. 2008. Vietnam.

2. Second Prize, National Physics Contest. 2010. Vietnam.

3. Valedictorian. 2016. Faculty of Electronics and Telecommunication Engineering, The University of Danang, Vietnam.

4. Excellent Paper Award. 2017. Institute of Electronics and Information Engineers (IEIE), Republic of Korea.

5. Excellent Paper Award. 2021. Graduate School of Dong-A University, Republic of Korea.

Journal Papers

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1. Dat Ngo, Gi-Dong Lee, Bongsoon Kang. 2019. A 4K-Capable FPGA Implementation of Single Image Haze Removal Using Hazy Particle Maps. Applied Sciences, 9(17), 3443.
   PDF   |   Source

2. Dat Ngo, Gi-Dong Lee, Bongsoon Kang. 2019. Improved Color Attenuation Prior for Single-Image Haze Removal. Applied Sciences, 9(19), 4011.
   PDF   |   Source   |   GitHub

3. Dat Ngo, Seungmin Lee, Bongsoon Kang. 2020. Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light. Remote Sensing, 12(14), 2233.
   PDF   |   Source   |   GitHub

4. Dat Ngo^†, Seungmin Lee^†, Quoc-Hieu Nguyen, Tri Minh Ngo, Gi-Dong Lee, Bongsoon Kang. 2020. Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems. Sensors, 20(18), 5170.
   PDF   |   Source   |   GitHub

5. Dat Ngo^†, Seungmin Lee^†, Gi-Dong Lee, Bongsoon Kang. 2020. Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator. Sensors, 20(20), 5795.
   PDF   |   Source   |   GitHub

6. Dat Ngo, Seungmin Lee, Tri Minh Ngo, Gi-Dong Lee, Bongsoon Kang. 2021. Visibility Restoration: A Systematic Review and Meta-Analysis. Sensors, 21(8), 2625.
   PDF   |   Source

7. Dat Ngo, Gi-Dong Lee, Bongsoon Kang. 2021. Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation. Sensors, 21(11), 3896.
   PDF   |   Source   |   GitHub

8. Dat Ngo, Bongsoon Kang. 2021. Taylor-Series-Based Reconfigurability of Gamma Correction in Hardware Designs. Electronics, 10(16), 1959.
   PDF   |   Source

9. Dat Ngo^†, Seungmin Lee^†, Gi-Dong Lee, Bongsoon Kang. 2021. Automating a Dehazing System by Self-Calibrating on Haze Conditions. Sensors, 21(19), 6373.
   PDF   |   Source

10. Dat Ngo^†, Seungmin Lee^†, Ui-Jean Kang, Tri Minh Ngo, Gi-Dong Lee, Bongsoon Kang. 2022. Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator. Sensors, 22(5), 1957.
    PDF   |   Source

11. Seungmin Lee^†, Dat Ngo^†, Bongsoon Kang. 2022. Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System. Remote Sensing, 14(8), 1852.
    PDF   |   Source

12. Dat Ngo, Gi-Dong Lee, Bongsoon Kang. 2022. Singe Image Dehazing With Unsharp Masking and Color Gamut Expansion. IEEE Access, 10, 102462-102474.
    PDF   |   Source

13. Dat Ngo, Bongsoon Kang. 2024. A Symmetric Multiprocessor System-on-a-Chip-Based Solution for Real-Time Image Dehazing. Symmetry, 16(6), 653.
    PDF   |   Source

14. Dat Ngo, Bongsoon Kang. 2024. A novel pipelined architecture of entropy filter. Journal of Real-Time Image Processing, 21, 118.
    Source

15. Dat Ngo, Siyeon Han, Bongsoon Kang. 2024. A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms. Symmetry, 16(9), 1138.
    PDF   |   Source

16. Dat Ngo, Jeongmin Lee, Sun Jae Kwon, Jin Hun Park, Baek Hwan Cho, Jong Wook Chang. 2024. Application of Deep Neural Networks in the Manufacturing Process of Mesenchymal Stem Cells Therapeutics. International Journal of Stem Cells, 0(0), 1-8.
    PDF   |   Source

17. Siyeon Han^†, Dat Ngo^†, Yeonggyu Choi, Bongsoon Kang. 2024. Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending. Remote Sensing, 16(19), 3641.
    PDF   |   Source

Conference Papers

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1. Dat Ngo, Bongsoon Kang. 2019. A New Data Preparation Methodology in Machine Learning-based Haze Removal Algorithms. International Conference on Electronics, Information, and Communication (ICEIC 2019). IEEE.
   PDF   |   Source   |   GitHub

2. Dat Ngo, Bongsoon Kang. 2019. Image Detail Enhancement via Constant-Time Unsharp Masking. Electronics Packaging Technology Conference (EPTC 2019). IEEE.
   PDF   |   Source

3. Dat Ngo, Seungmin Lee, Bongsoon Kang. 2020. Nonlinear Unsharp Masking Algorithm. International Conference on Electronics, Information, and Communication (ICEIC 2020). IEEE.
   PDF   |   Source   |   GitHub

Released Open Source Tools, Datasets, and Teaching Materials

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1. To be updated.