Minh-Trieu Tran

I'm

About

I am currently a postdoctoral researcher in Artificial Intelligence at the Gran Sasso Science Institute (GSSI), L’Aquila, Italy. I received my Ph.D. in AI from Chonnam National University (South Korea) in 2022, under the supervision of Prof. Guee-Sang Lee. I obtained my Master’s degree in Electronics Engineering from the University of Technology and Education (Vietnam) in 2018, under the supervision of Dr. Nguyen Thanh Dung and M.Eng. Trinh Hoang Duy. Prior to pursuing my graduate studies, I served as a lecturer at the Vietnam Aviation Academy. My research interests lie at the intersection of machine learning and computer vision, with the objective of developing intelligent systems capable of meaningful interaction with the physical world. Current research focuses on anomaly detection in medical data and AI-driven applications in agriculture.

Buongiorno Tutti! Attualmente ricopro il ruolo di ricercatore post-dottorato in Intelligenza Artificiale presso il Gran Sasso Science Institute (GSSI), a L’Aquila, Italia. Ho conseguito il dottorato di ricerca (Ph.D.) in AI presso la Chonnam National University (Corea del Sud) nel 2022, sotto la supervisione del Prof. Guee-Sang Lee. Nel 2018 ho ottenuto la laurea magistrale in Ingegneria Elettronica presso la University of Technology and Education (Vietnam), sotto la supervisione del Dott. Nguyen Thanh Dung e del M.Eng. Trinh Hoang Duy. In precedenza, ho svolto attività di docenza presso la Vietnam Aviation Academy. La mia attività di ricerca si colloca nell’ambito del machine learning e della computer vision, con l’obiettivo di sviluppare sistemi intelligenti in grado di interagire in modo efficace con il mondo fisico. Attualmente mi occupo principalmente di rilevazione di anomalie in ambito medico e di applicazioni dell’intelligenza artificiale nel settore agricolo.

Post-doctoral Researcher

  • Gran Sasso Science Institute
  • City: L'Aquila, Italy
  • Degree: Doctor of Philosophy in AI
  • Email: minhtrieu.tran@gssi.it
  • Google Scholar: Minh-Trieu Tran

Publications

Papers

Citations

PhD Thesis

  1. Minh-Trieu Tran.
    “Overall Survival Prediction in Glioblastoma Patients via Local Context of Brain Tumor MRI”. 2022. 1. Link Thesis 2. Link Presentation

Korean Copyright

  1. Minh-Trieu Tran, Lee G-S.
    “ Binarization of music score with complex background by deep convolutional neural networks. ”. Registration of copyright number 206371-0001063, Korea 2021. Link

Journals

  1. Minh-Trieu Tran, Pelliccione Patrizio, T. Nguyen Phuong.
    “ Lightweight-oriented classification using distillation learning and spatial information from tabular data”. In: Applied Soft Computing 192 (2026), p. 114798. DOI: 10.1016/j.asoc.2026.114798. Elsevier
  2. Minh-Trieu Tran, Arianna Fedeli, Juan Antonio Piñera García, Pelliccione Patrizio, T. Nguyen Phuong
    “Noise-Reduction-Oriented Super-Resolution Reconstruction for Precision Agriculture Applications”. In: Expert Systems with Applications 307 (2026), p. 131036. DOI: 10.1016/j.eswa.2025.131036. Elsevier
  3. Minh-Trieu Tran, and Lee G-S.
    “Occluded scene text detection via context-awareness from sketch-level image representations”. In: Multimedia Systems 31, 192 (2025). DOI: 10.1007/s00530-025-01782-w. Springer
  4. Kim Dung Nguyen, Yeong Soo Choi, Jang Hoon Lee, Minh-Trieu Tran, XiangHui Xin.
    “An effective deep learning model for classifying diseases on strawberry leaves and estimating their severity based on the multi-task U‑Net”. In: Multimedia Tools and Applications 84, (2024), p. 31329–31350. DOI: 10.1007/s11042-024-20413-6. Springer
  5. Minh-Trieu Tran, Yang H-J, Kim S-H and Lee G-S.
    “Prediction of Survival of Glioblastoma Patients Using Local Spatial Relationships and Global Structure Awareness in FLAIR MRI Brain Images”. In: IEEE Access 11 (2023), p. 37437-37449. DOI: 10.1109/ACCESS.2023.3266771. IEEE
  6. Minh-Trieu Tran, Yang H-J, Kim S-H, Oh I-J, Kang S-R, and Lee G-S.
    “Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.”. In: Sensors 21 (2021), p. 4556. DOI:10.3390/s21134556. MDPI
  7. Minh-Trieu Tran, Yang H-J, Kim S-H, and Lee G-S.
    “Multi-Task Learning for Medical Image Inpainting Based on Organ Boundary Awareness.”. In: Applied Sciences 11 (2021), p. 4247 DOI:10.3390/app11094247. MDPI
  8. Minh-Trieu Tran, Vo Q-N and Lee G-S.
    “Binarization of music score with complex background by deep convolutional neural networks.”. In: Multimedia Tools & Applications 80 (2021), p. 11031-11047 DOI:10.1007/s11042-020-10272-2. Springer
  9. Ngo D-K, Minh-Trieu Tran, Yang H-J, Kim S-H, and Lee G-S.
    “Multi-Task Learning for Small Brain Tumor Segmentation from MRI.”. In: Applied Sciences 10 (2020), p. 7790 DOI:10.3390/app10217790. MDPI
  10. Minh-Trieu Tran and Lee G-S.
    “Staff-line Removal for Music Score Images using U-net.”. In: KIISE Transactions on Computing Practices (KTCP) 26 (2020), p. 26-31 DOI:10.5626/KTCP.2020.26.1.26. KIISE
  11. Minh-Trieu Tran and Lee G-S.
    “Super-resolution in music score images by instance normalization.”. In: Smart Media Journal 8 (2019), p. 64-71 DOI:10.30693/SMJ.2019.8.4.64 Smart Media Journal

Conferences

  1. Minh-Trieu Tran , Pelliccione Patrizio, T. Nguyen Phuong.
    “Fast and Accurate Saffron Stigma Detection Using YOLOv8”. In Proceedings of Workshop on Deep Learning in Agriculture, Forestry and Field Robotics, the European Conference on Mobile Robots (ECMR25), 2025. At: University of Padua, Padua, Italy. Link
  2. Hong-Vy-Ngoc Le, Minh-Trieu Tran.
    “GRU-Based Framework for Stock Prediction”. In Proceedings of the International Conference on Smart Media and Applications, 2025. At: Yildiz Technical University, Davutpaşa, Turkiye. Link
  3. Minh-Trieu Tran and Lee G-S.
    “Preserving Text Characteristics Through Feature Concatenation for The Detection of Occluded Scene Text”. In Proceedings of the International Conference on Smart Media and Applications, 2023. At: Asia University, Taichung, Taiwan. Link
  4. Minh-Trieu Tran, Yang H-J, Kim S-H and Lee G-S.
    “Deep Learning-Based Inpainting for Chest X-ray Image”. In Proceedings of the International Conference on Smart Media and Applications, 2020. At: Jeju, South Korea. DOI: 10.1145/3426020.3426088
  5. Do T-B-T, Trinh D-L, Minh-Trieu Tran, Lee G-S, Yang H-J, Kim S-H.
    “Deep Learning Based Ensemble Approach for 3D MRI Brain Tumor Segmentation”. In Proceeding of 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021. DOI: 978-3-031-09002-8_19
  6. Dinh M-T, Dang Q-V, Minh-Trieu Tran, Lee G-S.
    “Robust Scene Text Detection Under Occlusion via Multi-scale Adaptive Deep Network”. In: Na, I., Irie, G. (eds) Frontiers of Computer Vision. IW-FCV 2023. Communications in Computer and Information Science, vol 1857. Springer, Singapore. DOI: 10.1007/978-981-99-4914-4_10
  7. Minh-Trieu Tran and Lee G-S.
    “Staff Line Removal for Music Score Images with Super Resolution Technique”. In Proceedings of the Korea Computer Congress, 2019. At: Jeju, South Korea. DOI: 10.5626/KTCP.2020.26.1.26
  8. Minh-Trieu Tran and Lee G-S.
    “Summarization of Single Document by using Local Context Optimization”. In Proceedings of the Conference of KISM, Korean Institute of Smart Media, 2023. At: Jeju National University, South Korea. Link
  9. Minh-Trieu Tran, Irfan H, Lee G-S, Yang H-J, Kim S-H.
    “Facial Expression Awareness for Driver Distraction Detection”. In Proceedings of the International Conference on Smart Media and Applications, 2022. At: Saipan, USA. Link
  10. Minh-Trieu Tran, Do T-B-T, Lee G-S.
    “Survivor Class Prediction by Local Spatial Relationship in FLAIR MRI Brain Images”. In Proceedings of the International Conference on Multimedia Information Technology and Applications, 2022. At: Jeju, South Korea. Link
  11. Minh-Trieu Tran, Kang S-R, Oh I-J, Lee G-S, Yang H-J, Kim S-H.
    “A Deep Learning-Based Method for Glioblastoma Survival Prediction using Local Context”. In Proceedings of the International Conference on Smart Media and Applications, 2022. At: Gunsan-si, South Korea. Link
  12. Vo C-M, Minh-Trieu Tran, Lee G-S.
    “Emotion Recognition using Sentiment Information of the Scene”. In Proceedings of the Conference of KISM, Korean Institute of Smart Media, 2021. At: Silla University, Busan, South Korea. Link
  13. Minh-Trieu Tran, Lee G-S, Yang H-J, Kim S-H.
    “Medical Image Inpainting With Deep Neural Network”. In Proceedings of the Conference of KISM, Korean Institute of Smart Media, 2021. At: Chosun University IT Convergence College, Gwangju, South Korea. Link
  14. Minh-Trieu Tran, Lee G-S, Yang H-J, Kim S-H.
    “Lung tumor segmentation by fusing 2D and 3D models”. In Proceedings of the International Workshop Frontiers of Computer Vision, 2020. At: Ibusuki, Kagoshima, Japan. Link
  15. Minh-Trieu Tran, Lee G-S, Yang H-J, Kim S-H.
    “ Utilizing 3D Information From Three-Dimensional Images In Lung Tumor Segmentation”. In Proceedings of the International Conference on Smart Media and Applications, 2019. At: Guam, USA. Link
  16. Minh-Trieu Tran, Lee G-S, Yang H-J, Kim S-H.
    “Lung Tumor Segmentation Using Deep Neural Networks”. In Proceedings of the Conference of KISM, Korean Institute of Smart Media, 2019. At: Gwangju, South Korea. Link
  17. Minh-Trieu Tran and Lee G-S.
    “Super-resolution of music score images”. In Proceedings of the Conference of KISM, Korean Institute of Smart Media, 2019. At: Korea National University of Transportation, Chungju, South Korea. Link

Skills

Programming Languages

Python80%
Matlab70%

OS

Linux80%
Windows70%

Text Editors

Office80%
Latex70%

Languages

VietnameseMothertongue
EnglishGood
ItalianBasic
KoreanBasic

Resume

Download CV

Education

Doctor of Philosophy in Computer Science

2018 - 2022

Chonnam National University--South Korea

“Overall Survival Prediction in Glioblastoma Patients via Local Context of Brain Tumor MRI”. 2022.

Master in Electronic Engineering

2016 - 2018

University of Technology and Education --Vietnam

“Foreign Object Debris (FOD) Detection for Aviation via Image Processing Technology”. 2018

Link

Bachelor in Electronics and Telecommunications Engineering

2012 - 2016

Vietnam Aviation Academy--Vietnam

“Face Recognition and License Plate Detection for Smart Parking”. 2016

Professional Experience

Post-doctoral Researcher

Gran Sasso Science Institute --Italy
10/2024-present
  • Exploration the integration of applied AI and service robotics in agriculture, focusing on tasks like planting, monitoring, and harvesting;
  • Emphasis is placed on human–robot collaboration, enabling robots to work safely and efficiently alongside farmers while optimizing agricultural productivity.

AI Engineer

DFOCUS company --South Korea
07/2024-08/2024
  • AI Engineer at DFOCUS (South Korea), a partner of Samsung AI Center in New York,USA.
  • Working on LLM projects with a focus on Fine-Tuning and Retrieval-Augmented Generation (RAG), particularly for the SEA CS Gen AI project (SAMSUNG).

Post-doctoral Researcher

Chonnam National University --South Korea
09/2022-06/2024
  • Development of DL model to predict the overall survival days of Glioblastoma Patients;
  • Development of DL model to detect scene text under occlusion.

Teaching Assistant

Chonnam National University --South Korea
2020-2022
  • Supporting and evaluating students in class Advanced Project for AI Convergence.

National Project

Vietnam Aviation Academy --Vietnam
2017-2021
  • Ministry-level Research Topic on Foreign Object Debris Detection in Runway.
    • Certificate Link

Photos

Project

Centro Europeo Agri-BioSERV (CUP: C43C21000150001)

The research activities will focus on software engineering for robotics. We will focus on service robots, especially in the agriculture domain, considering also the collaboration and cooperation with humans. Link

References

Patrizio Pelliccione

Professor

Department of Computer Science

Gran Sasso Science Institute

patrizio.pelliccione@gssi.it

Guee-Sang Lee

Professor

Department of AI Convergence

Chonnam National University

gslee@jnu.ac.kr

Hyung-Jeong YANG

Professor

Department of AI Convergence

Chonnam National University

hjyang@jnu.ac.kr

Soo-Hyung Kim

Professor

Department of AI Convergence

Chonnam National University

shkim@jnu.ac.kr

Nguyen Thanh Phuong

Professor

Department of Information Engineering, Computer Science and Mathematics

University of L’Aquila

phuong.nguyen@univaq.it

Nguyen Thanh Dung

Vice Director

Vietnam Aviation Academy

dungnt@vaa.edu.vn

Trinh Hoang Duy

Lecturer

Vietnam Aviation Academy

duytrinh12@gmail.com