01

Research Interests

My research explores the intersection of advanced mathematics and artificial intelligence, with applications in medical imaging, computer vision, and real-time rendering systems.

🧬

Computational Biology & Bioinformatics

🔢

Mathematics & Hypercomplex Number Systems

🎯

Quaternion Neural Architectures

👁️

View Synthesis & Neural Rendering

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Real-time Graphics Processing

🏥

Deep Learning in Medicine

02

Work Experience

Professional experience in AI research, engineering, and software development across international organizations.

Computer Scientist & AI Engineer
SLA Software Logistik Artland GmbH — Germany (Remote)
August 2024 - Present
Integrated AI models into customer infrastructure and developed neural network architectures for detecting and segmenting animal pathogens. Automated data handling processes for signal processing using Python (PyTorch, NumPy, Pandas, Scikit-learn), C++, and Linux tools.
Medical Research Deep Learning Data Engineering
Collaboration Researcher
University of Regina — Canada
August 2024 - September 2025
Researched solutions for simulating chemical processes. Implemented simulation code using Matlab and Python for computational chemistry applications.
Simulation Matlab Python
AI Intern
Phygital Labs — Vietnam
May 2024 - July 2024
Worked on deep learning projects with LLM models to develop solutions for querying large documents. Collaborated with a former Senior Google engineer on system deployment.
LLM NLP System Deployment
Computer Scientist & AI Engineer
FX Data — Germany (Remote)
January 2022 - July 2024
Developed neural network architectures for detecting and segmenting animal pathogens. Created automation scripts for data handling and optimized signal processing workflows with Linux tools and shell scripting.
PyTorch Medical AI Automation
AI Engineer
Rhen Consulting — Germany (Remote)
October 2021 - December 2021
Collaborated with AI team to develop neural network architectures for pathogen detection and segmentation. Developed automation scripts for data processing with Linux distributions and shell scripting.
Neural Networks Automation Linux
03

Publications

Selected peer-reviewed publications in international conferences and journals.

Adaptive Hybrid Transformer Network with Frequency Attention for All-in-One Image Restoration

Cong Thang Pham, An Hung Nguyen, Quoc Cuong Nguyen, Minh Nhat Phan, Thanh Than Nguyen
International Workshop "Photogrammetric techniques for environmental and infraStructure monitoring, Biometrics and Biomedicine" - PSBB25
DOI ProQuest

DehazeCLNet: A Contrastive Learning Framework with Advanced Feature Extraction for Image Dehazing

Cong Thang Pham, An Hung Nguyen, Quoc Cuong Nguyen, Minh Nhat Phan
Symposium on Information and Communication Technology (SOICT 2024), Springer CCIS
DOI

Enhancing Image Classification Capabilities In The Vision Transformer Network Model With Quaternion Algebra

Minh Tuan Pham, An Hung Nguyen
Conference on Information Technology and its Applications (CITA 2024)
Link

Enhancing Convolutional Neural Network Architectures with Long Short-Term Memory for Improved Image Classification

An Hung Nguyen, Minh Tuan Pham
International Scientific Conference on Applying New Technology in Green Buildings (ATiGB 2023)
DOI

Quaternion Convolutional Neural Networks for Depth Estimation

An Hung Nguyen, Cao Duy Hoang, Dang Hoang Phu Phan, Minh Tuan Pham
IEEE Joint International Conference on Soft Computing and Intelligent Systems (SCIS&ISIS 2022)
DOI

Weight Initialization for Complex Number Convolutional Neural Networks Using Genetic Algorithms

Minh Tuan Pham, An Hung Nguyen
Conference on Information Technology and its Applications (CITA 2022)
DOI

Efficient Complex Valued Neural Network with Fourier Transform on Image Denoising

Minh Tuan Pham, Van Quang Nguyen, Cao Duy Hoang, et al., An Hung Nguyen
ACM International Conference on Future Networks and Distributed Systems (ICFNDS 2021)
DOI
04

Highlight Awards

December 2023

Vietnam Student Science Research and Innovation 2022-2023

Fourth Prize for research on Quaternion Convolutional Neural Networks for Image Depth Estimation.
Project title: Quaternion Convolutional Neural Networks for Image Depth Estimation

August 2021

Innovative Generation — Second Prize (Ranked 1st)

Top recognition for developing deep learning systems for diagnosing and detecting diabetic retinopathy, demonstrating practical applications of AI in healthcare.

Project title: Applying Deep Learning to the process of diagnosing, analyzing and detecting damage to the retina due to diabetes
March 2021

VISEF — Fourth Place in Computational Biology

Vietnam International Science and Engineering Fair award for applying deep learning to medical image analysis and retinal damage detection.

Project title: Applying Deep Learning to the process of diagnosing, analyzing and detecting damage to the retina due to diabetes
05

Education

2021
—
2025

Bachelor of Science - Information Technology

University of Science and Technology — University of Danang, Vietnam

GPA: 3.65/4.0 • Distinction: Excellent Bachelor's Degree
Capstone: A Deep Learning-Based Approach for Multi-Weather Image Restoration and Enhancement
2018
—
2021

National Team - Informatics Class (IT 18-21)

Le Quy Don Upper-Secondary School for the Gifted, Quang Tri, Vietnam

Selected for national-level scientific research competition team and Informatics gifted student team