Dr. Su Myat Thwin
Name
:
Dr. Su Myat Thwin
Designation
:
Associate Professor
Department
:
Department of Computer Studies, University of Yangon.
Education
:
Ph.D. (Ewha Womans University(The Republic of Korea)),2025
M.C.Sc (University of Computer Studies(Pathein)), 2012
B.C.Sc (Hons:)( University of Computer Studies(Pathein)),2009
B.C.Sc (University of Computer Studies(Pathein)),2008
M.C.Sc (University of Computer Studies(Pathein)), 2012
B.C.Sc (Hons:)( University of Computer Studies(Pathein)),2009
B.C.Sc (University of Computer Studies(Pathein)),2008
Research Background
:
Deep Learning, Data Mining, Software Engineering, Natural Language Processing, Bioinformatics, Data Science
Publication
:
1. A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in industrial internet of things, AM Alnajim, S Habib, M Islam, SM Thwin, F Alotaibi, Technologies 11 (6), 161, 78 2023
2. Skin lesion classification using a deep ensemble model, SM Thwin, HS Park, Applied Sciences 14 (13), 5599, 43 2024
3. Attention-based ensemble network for effective breast cancer classification over benchmarks, SM Thwin, SJ Malebary, AW Abulfaraj, HS Park, Technologies 12 (2), 16, 23 2024
4. A trustworthy framework for skin cancer detection using a cnn with a modified attention mechanism, SM Thwin, HS Park, SH Seo, Applied Sciences 15 (3), 1067, 12,2025
5. Enhanced skin lesion segmentation and classification through ensemble models, SM Thwin, HS Park, Eng 5 (4), 2805-2820, 12 2024
6. Advancing Skin Cancer Detection: Integrating Attention-Driven Transfer Learning and Autoencoder-Decoder Fusion, SM Thwin, HS Park, IEEE, The 7th International Conference on Artificial Intelligence in …, 2 2025
7. Enhanced Skin Lesion Segmentation: DeepLabV3 and U-Net with Spatial Attention Mechanisms, SM Thwin, HS Park, IEEE, 15th International Conference on Information and Communication …, 2 2024
8. Deep Learning–Based Semantic Segmentation For Evaluating Urban Environmental Quality And Walkability In Dongdaemun, SM Thwin, Indonesian Journal of Statistics and Its Applications (IJSA) 9 (2), 194-217, 2025
9. Deep learning based skin cancer detection enhanced by modified attention mechanisms, SM Thwin, Multimedia Tools and Applications 84 (41), 49859-49882, 2025
10. Deep Learning Based Detection Approaches on Skin Cancer Detection: A Review, SM Thwin, International Journal of Computer Sciences and Engineering 12 (Issue.7, July …2024
11. Deep Learning Based Opinion Mining and Summarization on Mobile Phone Reviews, SM Thwin, University Journal of Information and Computer Science 2 (Issue 1, September …2020
12. Human Behavior Classification with Convolutional Neural Networks, SM Thwin, International Journal Of Advance Research And Innovative Ideas In Education …2019
13. Classification of Protein By Using Random Forest Classifier,SM Thwin, MM Min, MERAL Portal, 2011
2. Skin lesion classification using a deep ensemble model, SM Thwin, HS Park, Applied Sciences 14 (13), 5599, 43 2024
3. Attention-based ensemble network for effective breast cancer classification over benchmarks, SM Thwin, SJ Malebary, AW Abulfaraj, HS Park, Technologies 12 (2), 16, 23 2024
4. A trustworthy framework for skin cancer detection using a cnn with a modified attention mechanism, SM Thwin, HS Park, SH Seo, Applied Sciences 15 (3), 1067, 12,2025
5. Enhanced skin lesion segmentation and classification through ensemble models, SM Thwin, HS Park, Eng 5 (4), 2805-2820, 12 2024
6. Advancing Skin Cancer Detection: Integrating Attention-Driven Transfer Learning and Autoencoder-Decoder Fusion, SM Thwin, HS Park, IEEE, The 7th International Conference on Artificial Intelligence in …, 2 2025
7. Enhanced Skin Lesion Segmentation: DeepLabV3 and U-Net with Spatial Attention Mechanisms, SM Thwin, HS Park, IEEE, 15th International Conference on Information and Communication …, 2 2024
8. Deep Learning–Based Semantic Segmentation For Evaluating Urban Environmental Quality And Walkability In Dongdaemun, SM Thwin, Indonesian Journal of Statistics and Its Applications (IJSA) 9 (2), 194-217, 2025
9. Deep learning based skin cancer detection enhanced by modified attention mechanisms, SM Thwin, Multimedia Tools and Applications 84 (41), 49859-49882, 2025
10. Deep Learning Based Detection Approaches on Skin Cancer Detection: A Review, SM Thwin, International Journal of Computer Sciences and Engineering 12 (Issue.7, July …2024
11. Deep Learning Based Opinion Mining and Summarization on Mobile Phone Reviews, SM Thwin, University Journal of Information and Computer Science 2 (Issue 1, September …2020
12. Human Behavior Classification with Convolutional Neural Networks, SM Thwin, International Journal Of Advance Research And Innovative Ideas In Education …2019
13. Classification of Protein By Using Random Forest Classifier,SM Thwin, MM Min, MERAL Portal, 2011
Google Scholar Website link : Dr. Su Myat Thwin (Associate Professor) – Google Scholar
Email
:
drsumyatthwin@gmail.com