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TRONG NHAN NGUYEN

nguyennhan8521@gmail.com — Website — GitHub — ORCID
Busan, South Korea

RESEARCH INTERESTS

Inverse Problems, Image Restoration, Physics-Informed Neural Networks, Computational Imaging

EDUCATION

M.S. in Biomedical Engineering
Oct. 2023 – Aug. 2025

Pukyong National University, Busan 48513, Korea
GPA: 4.30/4.50

Advisor: Prof. Junghwan Oh

Thesis: Image Restoration for Scanning Acoustic Microscopy Systems

Relevant Coursework: Advanced Medical Imaging Devices; Computational Polarization Optics; Biosensor and Bioinstrumentation; Smart Signals and Systems in Bioengineering; Nanobioengineering

B.S. in Information Technology Engineering
Aug. 2018 – Oct. 2022

Ho Chi Minh City University of Technology (HUTECH), Vietnam
GPA: 3.78/4.00

Advisor: Prof. Hung Nguyen, MSc. Hoang Khang Vo

Thesis: Software System for Public Administrative Procedure Support

Relevant Coursework: Computer architecture and operating system; Data structure and algorithm; Object-oriented programming; Artificial Intelligence; Software technology

PUBLICATIONS

*Co-First Author, **Co-author Google Scholar

Journal and Conference Publications

[J1] Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Dang Khoa Pham, Dinh Dat Vu, Thi Thu Ha Vu, Truong Tien Vo, Quoc Dung Nguyen, Jaeyeop Choi, Junghwan Oh. “Unsupervised Hybrid Transformer–Mamba Diffusion for Depth-Dependent Image Denoising in Scanning Acoustic Microscopy,” IEEE Transactions on Industrial Informatics, IF = 9.8, 2026. Paper Code

[C1] Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Jaeyeop Choi, Junghwan Oh. “Transformer-Based Super-Resolution Scanning Acoustic Imaging for Industrial Inspection,” IEEE International Conference on Industrial Technology (ICIT 2025), 2025. Paper

[J2] Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Dinh Dat Vu, Le Hai Tran, Thi Thu Ha Vu, Truong Tien Vo, Quoc Dung Nguyen, Sudip Mondal, Jaeyeop Choi, Byeongil Lee, Junghwan Oh. “Image-enhanced Generative Model for Industrial Scanning Acoustic Super-resolution in Non-destructive Testing,” Engineering Applications of Artificial Intelligence, IF = 9.0, 2025. Paper Code

[J3] Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Jaeyeop Choi, Junghwan Oh. “DIPSAM: Diffusion inpainting for restoring water-loss degradation in scanning acoustic microscopy,” Computers & Electrical Engineering, IF = 5.5, 2026. Paper Code

[J4] Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham, Trong Nhan Nguyen*, Trang Nguyen, Quang Minh Luu, Ba Kien Tran, Truong-Son Hy, Viktor Dremin, Sergei Sokolovsky, Edik Rafailov. “A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors,” *Communications Medicine (Nature Portfolio), IF = 7.4, 2026. Paper Code

[J5] Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Le Hai Tran, Vu Hoang Minh Doan, Van Bang Nguyen, Wonjo Lee, Sudip Mondal, Junghwan Oh. “GAN-Based Super-Resolution in Linear R-SAM Imaging for Enhanced Non-Destructive Semiconductor Measurement,” *Applied Sciences, IF = 2.5, 2025. Paper

[J6] Truong Tien Vo, Quy Phuong Le, Trong Nhan Nguyen*, Sudip Mondal, Jaeyeop Choi, Byeongil Lee, Junghwan Oh. “A Non-Contact Ballistocardiogram-Based System with Multi-Task Deep Learning for Real-Time Vital Signs Monitoring in Acupuncture,” *Computers in Biology and Medicine, IF = 6.3, 2026. Paper

[J7] Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen*, Jaeyeop Choi, Sudip Mondal, Junghwan Oh. “Optimizing Scanning Acoustic Tomography Image Segmentation With Segment Anything Model for Semiconductor Devices,” *IEEE Transactions on Semiconductor Manufacturing, IF = 2.3, 2024. Paper

[J8] Truong Tien Vo, Huu Sang Nguyen, Trong Nhan Nguyen*, Le Hai Tran, Quy Phuong Le, Tan Tien Nguyen, Jaeyeop Choi, Junghwan Oh. “Multimodal Smart Clothing with Haptic Feedback for Real-Time Muscle Activation Assessment in Self-Coaching Fitness,” *IEEE Internet of Things Journal, IF = 8.9. Paper

Preprints

[P1] Trong Nhan Nguyen, Vu Hoang Minh Doan, Thanh Dat Le, Truong Tien Vo, Thi Thu Ha Vu, Tan Hung Vo, Jaeyeop Choi, Junghwan Oh, Truong-Son Hy. “WaFIR: Wavelet-Fourier Mixture-of-Experts with Subband-Adaptive Routing for Blind All-in-One Image Restoration,” arXiv preprint arXiv:2610.29108, 2026. arXiv Code

Manuscripts Under Review

[J9] Vu Hoang Minh Doan, Trong Nhan Nguyen*, Thanh Dat Le, Junghwan Oh. “Effective Augmentation Diversity Predicts Template Element Replacement Effectiveness in XRD-Based Crystal Phase Classification,” *Journal of Chemical Information and Modeling, 2026.

RESEARCH EXPERIENCE

Pukyong National University, Busan, Korea
Graduate Research Assistant

Supervisor: Prof. Junghwan Oh
Oct. 2023 – Present

[1] Project: Automated Robotic Inspection of Weld Surfaces - Code

• Led a small team (3 graduate students), planned the project timeline, coordinated daily tasks, and reported weekly progress to the professor.
• Integrated a Yaskawa robotic arm, a Micro-Epsilon laser scanner, and a Basler camera into an automated pipeline for weld identification and 3D surface scanning.
• Achieved 95.36% weld-identification accuracy with the vision module.
• Developed a real-time robot control system for laser surface scanning at 65 mm/s with 100 μm × 49 μm resolution, enabling precise 3D visualization of weld surfaces.

[2] Project: AI-Based Defect Inspection for Scanning Acoustic Microscopy - Code

• Developed a U-Net segmentation model with a ResNet50 encoder to segment solder voids and chip regions in SAM images of power semiconductor modules.
• Built a sliding-window inference pipeline that segments full-resolution scans.
• Deployed the pipeline as the automated defect-inspection function in the software of Ohlabs’ commercial SAM systems, now used by industrial customers.

[3] Project: AI-Based MLCC Inspection System - Client: Samwha

• Developed an image-processing pipeline to detect abnormal multilayer ceramic capacitors (MLCCs).
• Integrated the detected defect positions with an automated laser-marking stage.
• Trained a YOLO-based detector to verify that defective MLCCs were correctly laser-marked, covering five MLCC sizes (1005, 1608, 2012, 3216, 3225).
• Deployed the system at the customer’s production site, where it remains in use and reduces the time and manual effort needed for defect detection and post-marking inspection.

[4] Project: Image Restoration for Ultrasound Imaging - Papers: SAMGAN, DIPSAM, SAMID

• Started the lab’s research line on AI-based SAM image restoration, which led to follow-up studies by labmates, including GAN-based super-resolution for linear R-SAM (LinearTGAN, Applied Sciences, 2025) and an M.S. thesis on out-of-focus restoration (N. D. Quan, Pukyong National University, 2026).
• Super-resolution: developed a GAN-based model that reconstructs high-resolution images from coarse-step scans, reducing scanning time by up to 47.2%; integrated as an optional function in the lab’s scanning software.
• Inpainting: developed a latent diffusion framework, trained on synthetic masks, that restores regions lost to water-coupling failure and improves downstream defect segmentation.
• Denoising: developed a hybrid Transformer–Mamba diffusion model with a physics-guided synthetic data pipeline (degradation modeling and CycleGAN domain transfer) to remove depth-dependent noise without clean references.
• Published four first-author papers: IEEE Transactions on Industrial Informatics, Engineering Applications of Artificial Intelligence, Computers & Electrical Engineering, and IEEE ICIT 2025.

University of Alabama at Birmingham, AL, USA
Research Collaborator

Supervisor: Prof. Truong-Son Hy
Nov. 2025 – Present

[1] Project: Frequency-Space Learning for Blind Image Restoration - Code

• Proposed WaFIR, a Wavelet-Fourier mixture-of-experts with subband-adaptive routing that derives frequency priors from the input image to guide blind all-in-one restoration under unknown degradations (noise, haze, rain).
• First-author preprint on arXiv (2610.29108).

[2] Project: Mental Health Assessment study - Code

In collaboration with researchers from Harvard Medical School (USA), the University of Toronto (Canada), and Aston University (United Kingdom)

• Ran classification models on the dataset to establish baseline results for the mental health assessment task.
• Performed data analysis and prepared the figures for the manuscript.
• Revised the manuscript and drafted responses to the reviewers’ comments during peer review.

Artificial Intelligence Center, FPT Software Company, Vietnam
AI Engineer

Supervisor: Dr. Duc-Vinh Nguyen
Oct. 2022 – Dec. 2023

[1] Project: Machine Learning for Industrial Process Optimization - Client: Ameresco

• Analyzed environmental and operational data from multiple museum facilities in Power BI and built a master table.
• Developed machine learning models for univariate CO₂ forecasting and for clustering facility operating patterns.
• Designed data-driven algorithms to estimate heat gain under varying CO₂ levels, optimized the prediction pipeline, and deployed the model to edge devices via Microsoft Azure.

[2] Project: Root-Cause Analysis in Steel Production - Client: Yamato Kogyo

• Studied the steel production process, built a master table of process data, and analyzed all features in Power BI.
• Applied feature extraction and feature importance to identify the process variables linked to production defects.
• Used Fishbone (Ishikawa) diagrams to determine and document the root causes.

[3] Project: Deep Learning for Search Engine Enhancement - Client: FPT Retail

• Developed a hybrid search pipeline that combines full-text and semantic search.
• Evaluated retrieval performance of the hybrid pipeline against full-text search alone.

HUTECH University, Ho Chi Minh City, Vietnam
Undergraduate Research Assistant

Supervisor: Prof. Hung Nguyen, Co-supervisor: MSc. Hoang Khang Vo
Feb. 2021 – Mar. 2022

[1] Project: Vietnamese Chatbot and OCR for Public Administrative Procedures - Code

• Developed an OCR-based system that extracts personal information from identity documents and automatically fills in administrative forms.
• Collaborated with a team member to build a Vietnamese chatbot that guides citizens through public administrative procedures and auto-fills forms.

TALKS & PRESENTATIONS

IEEE International Conference on Industrial Technology (ICIT)
2025

Presented “Transformer-Based Super-Resolution Scanning Acoustic Imaging for Industrial Inspection.”

Research Seminar, Brain Korea 21 (BK21) Program
2026

Presented the research summary report, which covered ongoing research progress in AI-based industrial inspection and image processing.

HONORS, AWARDS, AND ACHIEVEMENTS

• Pukyong National University Global Challenge Scholarship, 2025
• Outstanding Graduate Student for Publication, Pukyong National University, 2026 (for DIPSAM, Computers & Electrical Engineering)
• Blue Scholarship, Brain Korea 21 (BK21), Korean Government Scholarship Program, 2025 & 2026
• Fire Grant Scholarship, 2025 & 2026
• Scholarship, Pukyong National University, 2023
• Impressive Award, HUTECH Start-up Wing, 2021
• Consolation Prize, AI Hackathon Contest, 2020
• Rewards of Undergraduate Research, Ho Chi Minh City University of Technology (HUTECH), 2020
• Outstanding Undergraduate Student Scholarship, Ho Chi Minh City University of Technology (HUTECH), 2018

TECHNICAL SKILLS

• Machine Learning: Diffusion Models, Transformers, Mamba / State-Space Models, GANs, CNNs; Image Restoration (denoising, super-resolution, inpainting), Segmentation.
• Frameworks & Libraries: PyTorch, Hugging Face (Transformers, Diffusers, Accelerate), Weights & Biases, OpenCV, scikit-learn, NumPy, Pandas, Matplotlib.
• Infrastructure & Tools: CUDA, Multi-GPU/ Distributed Training, Slurm, Linux, Git, Docker.
• Programming Languages: Python, C.
• Instrumentation & Systems: Scanning Acoustic Microscopy (NDT), Basler cameras, Micro-Epsilon laser sensors, Yaskawa robotic arms, 3D scanners, Ultrasound Imaging System.
• English Proficiency: IELTS 7.5

SERVICE & PROFESSIONAL DEVELOPMENT

Peer Reviewer: Scientific Reports; IEEE Sensors; IEEE International Conference on Industrial Technology; Machine Vision and Applications; Discover Artificial Intelligence; Discover Sensors.

Research Mentor: Amity Science Research Program, Amity Regional High School, CT, USA (2026 – Present); remotely guiding a high-school student through a year-long independent research project on acoustic imaging and data analysis.

Research Collaborations: North Carolina A&T State University (Dang Khoa Pham); Harvard Medical School (Dr. Tan-Hanh Pham); Aston University (Dr. Minh Ngoc Nguyen); University of Toronto (Khai Le-Duc); University of Alabama at Birmingham (Prof. Truong-Son Hy).

REFERENCES

Available upon request.