EfficientSkinTrans: Enhancing Dermatological Analysis Through a Hybrid ViT Network
Hoang, M. A., Phan, H. L. M., Vo, N. N., & Nguyen-Vinh, K. (2026). EfficientSkinTrans: Enhancing Dermatological Analysis Through a Hybrid ViT Network. IEEE CWCC 2026.
CV
Education
- Ph.D. in Electrical and Electronic Engineering, RMIT University, Vietnam (July 2025 – Present)
- M.S. in Computer Science (Data Science), University of Washington, Seattle, WA (Sep 2022 – Jun 2024)
- B.S. in Computer Science (Data Science), University of Washington, Seattle, WA (Sep 2020 – Jun 2022)
- A.S. in Computer Science, Seattle Central College, Seattle, WA (Jan 2019 – Jun 2020)
Work experience
Visiting Lecturer, Asia University, Ho Chi Minh City, Vietnam (Sep 2025 – Present)
Visiting Lecturer, FPT University, Ho Chi Minh City, Vietnam (May 2025 – Present)
Lecturer, Swinburne University of Technology, Ho Chi Minh City, Vietnam (Aug 2024 – Present)
Machine Learning Research Intern, Lawrence Livermore National Laboratory, Livermore, CA (Sep 2023 – Mar 2024)
Database Research Intern, Sandia National Laboratories, Livermore, CA (Jun 2023 – Aug 2023)
Graduate Teaching Assistant, University of Washington, Seattle, WA (Sep 2022 – Jun 2024)
Deep Learning Research Assistant, Intel Vietnam / RMIT University, Ho Chi Minh City, Vietnam (Jul 2022 – Nov 2022)
Research Assistant, InfoSeeking Lab, Seattle, WA (Feb 2022 – Dec 2022)
Undergraduate Teaching Assistant, University of Washington, Seattle, WA (Oct 2021 – Dec 2021)
Teaching Assistant, Seattle Central College, Seattle, WA (Oct 2019 – Dec 2020)
Skills
- Programming: Python, Java, JavaScript, C, C#, C++, SQL, SQLite
- Frameworks & Tools: PyTorch, TensorFlow, SciPy, Scikit-learn, Pandas, NumPy, PySpark, Matplotlib, Dash, OpenCV, Hadoop, Kafka, Tableau, d3.js, p5.js, KNIME
Publications
AI-Driven Methods for Eliminating Harmonic Oscillations in Inverter-Connected Systems
Nguyen-Vinh, K., Hoang, M., & Gono, R. (2025). AI-Driven Methods for Eliminating Harmonic Oscillations in Inverter-Connected Systems. IEEE ICECIE 2025.
AI-Based Energy Forecasting for Net Zero Smart Cities
Hoang, M., Nguyen-Vinh, K., & Vo, M.-T. (2025). AI-Based Energy Forecasting for Net Zero Smart Cities. IEEE ICECIE 2025.
Forecasting Urban Energy for Net-Zero Smart Cities: A Hybrid Attention-based Approach
Hoang, M. A., Hoang, T. D. T., Phan, T. P., & Nguyen-Vinh, K. (2025). Forecasting Urban Energy for Net-Zero Smart Cities. FETC 2025.
DenseTransXR: A Hybrid Transformer-Based Approach for Chest X-ray Abnormality and Emerging Disease Detection
Hoang, M. A., & Phan, H. L. M. (2025). DenseTransXR: A Hybrid Transformer-Based Approach for Chest X-ray Abnormality and Emerging Disease Detection. FETC 2025.
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Verma, S., Boonsanong, V., Hoang, M., Hines, K. E., Dickerson, J. P., & Shah, C. (2024). Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review. ACM Computing Surveys.
Case Study: Utilising Deep Learning Models for Fault Detection and Diagnosis of Photovoltaic Modules
Nguyen-Vinh, K., Vo-Huynh, Q.-N., Nguyen-Minh, K., & Hoang, M. (2023). Case Study: Utilising Deep Learning Models for Fault Detection and Diagnosis of Photovoltaic Modules. Springer, Information Systems Research in Vietnam, Volume 2.
Deep Learning Models for Fault Detection and Diagnosis in Photovoltaic Modules Manufacture
Nguyen-Vinh, K., Vo-Huynh, Q.-N., Nguyen-Minh, K., & Hoang, M. (2023). Deep Learning Models for Fault Detection and Diagnosis in Photovoltaic Modules Manufacture. IEEE CAI 2023.
Talks
EfficientSkinTrans: Enhancing Dermatological Classification and Analysis Through a Hybrid ViT Network
Conference Talk at 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (IEEE CWCC 2026), University of Nevada, Las Vegas, USA
AI-based Energy Forecasting for Net Zero Smart Cities
Conference Talk at 2025 7th International Conference on Electrical, Control and Instrumentation engineering (IEEE ICECIE 2025), Pattaya, Thailand
AI-Driven Adaptive Detection for Eliminating Harmonic Oscillations in Inverter-Connected Systems
Conference Talk at 2025 7th International Conference on Electrical, Control and Instrumentation engineering (IEEE ICECIE 2025), Pattaya, Thailand
Forecasting Urban Energy for Net-Zero Smart Cities: A Hybrid Attention-based Approach
Conference Talk at 2025 1st FPT International Conference on Emerging Trends in Computing (FETC 2025), FPT University, Can Tho, Vietnam
DenseTransXR: A Hybrid Transformer-Based Approach for Chest X-ray Abnormality and Emerging Disease Detection
Conference Talk at 2025 1st FPT International Conference on Emerging Trends in Computing (FETC 2025), FPT University, Can Tho, Vietnam
Case Study: Utilizing Deep Learning Models for Fault Detection and Diagnosis of Photovoltaic Modules to Improve Solar Energy Constructions’ O&M Activities Quality
Guest Lecture at RMIT University Vietnam, Ho Chi Minh City, Vietnam
Deep Learning Models for Fault Detection and Diagnosis in Photovoltaic Modules Manufacture
Conference Talk at 2023 IEEE Conference on Artificial Intelligence (IEEE CAI 2023), Santa Clara, California, USA