About Me
Hi ~ I’m Le-Anh Tran, PhD, an AI Research Scientist who enjoys delving into deep neural networks, understanding their inner workings, and enhancing their capabilities to be smarter, faster, and more useful.
My expertise lies in Image Enhancement, Segmentation, and Object Detection, and I’m proficient in Python with hands-on experience in various computer vision projects based on TensorFlow and PyTorch. I love creating innovative AI algorithms, and I stay sharp by reading and publishing research papers, because good science never sleeps.
Recently, I’ve also been exploring language models, curious about how chatbots might one day become my colleagues, or even my competitors.
Outside of work, I enjoy unwinding through art and sports. I sketch and sing on occasion. I am also a big fan of 3-cushion billiards. On the soccer field, I like to think of myself as a cool midfielder.
Email: tranleanh.nt@gmail.com
Profiles: ResearchGate |
GoogleScholar |
MyCV
Projects | Blogs: Github |
Medium
Education
3/2021 – 2/2024
Myongji University (Natural Science Campus), South Korea
3/2019 – 2/2021
Myongji University (Natural Science Campus), South Korea
9/2014 – 8/2018
HCMC University of Technology and Education (HCMUTE), Vietnam
Experience
4/2020 – 5/2025
MindinTech, Inc., Seoul, South Korea
3/2021 – 2/2024
Intelligent Computing Research Lab (ICRL), Myongji University, South Korea
7/2019 – 9/2019
OCST Co., Ltd., Seoul, South Korea
3/2018 – 2/2019
FPT Software, Ho Chi Minh City, Vietnam
2/2017 – 1/2018
Faculty of Electrical and Electronics Engineering, HCMUTE, Vietnam
Publications
Global Saturation-Value Translation Approach for Haze Removal in Urban Aerial Imagery
TD Do, LA Tran†, J Lee, SK Hong
IEEE Access (SCIE), 2025
TD Nguyen, LA Tran†, G Cheol, ES Kim, KC Lee
IEIE 2025, Kangwon National University [PDF]
LA Tran, CN Tran, NL Nguyen, NC Dang, J Carrabina, D Castells-Rufas, MS Nguyen
ICCCE 2025, IEEE [Code]
LA Tran
Under Review, 2025
LA Tran, DC Park
Neural Computing and Applications (SCIE), 2024 [Code]
TD Do, LA Tran†, S Moon, J Chung, NP Nguyen, SK Hong
IEEE Access (SCIE), 2024 [Code]
NC Tran, LA Tran*, NP Le, J Carrabina, D Castells-Rufas, MS Nguyen, NC Dang
FMLDS 2024, IEEE [PDF]
LA Tran, DC Park
The Visual Computer (SCIE), 2024 [Code]
TD Do, LA Tran†, TD Nguyen, NN Truong, DC Park, MH Le
GTSD 2024, IEEE
LA Tran, DC Park
The Visual Computer (SCIE), 2024 [Code]
LA Tran, D Kwon, HM Deberneh, DC Park
Intelligent Data Analysis (SCIE), 2024 [PDF | Code]
LA Tran, NC Tran, DC Park, J Carrabina, D Castells-Rufas
GECOST 2024, IEEE [PDF | Code]
LA Tran, D Kwon, DC Park
Procedia Computer Science, Vol. 237, Elsevier, 2024 [PDF | Code]
LA Tran, TD Nguyen, TD Do, NC Tran, D Kwon, DC Park
ICSSE 2023, IEEE [PDF]
NN Truong, MH Le, TD Do, LA Tran, TD Nguyen, HH Trinh
ICSSE 2023, IEEE [PDF]
LA Tran, DC Park
ASPAI 2022, IFSA [PDF]
LA Tran, DC Park
ISI 2022, Springer [PDF]
LA Tran, HM Deberneh, TD Do, TD Nguyen, MH Le, DC Park
IWIS 2022, IEEE [PDF | Code]
LA Tran, S Moon, DC Park
Procedia Computer Science, Vol. 204, Elsevier, 2022 [PDF | Code]
LA Tran, TD Do, DC Park, MH Le
ICSSE 2021, IEEE [PDF | Code]
LA Tran
Technical Report, OCST Co., Ltd., 2020 [PDF | Code]
LA Tran, MH Le
ICSSE 2019, IEEE [PDF]
LA Tran, NP Le, TD Do, MH Le
GTSD 2018, IEEE [PDF]
Services
IEEE Transactions on Image Processing
IEEE Transactions on Intelligent Transportation Systems
Biomedical Signal Processing and Control
Intelligent Data Analysis
Supercomputing
Scientific Reports
The Visual Computer
Signal, Image and Video Processing
Writing
Towards Data Science
Level Up Coding
Towards AI
Contributing
Project 1: Encoder-Decoder Network with Guided Transmission Map for Image Dehazing
Project 2: Hazy/Dusty Image Synthesis for Driving Scenarios
Project 3: POCS-based Clustering Algorithm
Project 4: Object Detection Streaming and Data Management on Web Browser
Project 5: Enhancement of Robustness in Object Detection Module for ADAS
Project 6: Single Image Dehazing via Regional Saturation-Value Translation
Project 7: Data Augmentation Compilation with Python and OpenCV
Project 8: Darkeras: Run YOLO on Keras using Darknet Weights
*More projects can be found at my Github page.
Blog
POCS-based Clustering Algorithm Explained
Each data has different importance.
EDN-GTM: Encoder-decoder Network with Guided Transmission Map
When traditional computer vision and deep learning conjugate.
MetaFormer: De facto need for Vision?
What is the key to the success of Vision Transformers?
Data Distillation for Object Detection
Learn from different perspectives.
Data Augmentation Compilation with Python and OpenCV
Prevent your model from overfitting.
Darkeras: Execute YOLOv3/YOLOv4 Object Detection on Keras with Darknet Pre-trained Weights
Everything in the universe is connected.
Synthesize Hazy/Foggy Images using Monodepth and Atmospheric Scattering Models
When fog is beneficial.
A Gentle Introduction to Hint Learning & Knowledge Distillation
Guide a student to learn a teacher’s behavior.
*More posts can be found at my Medium page.