About Education Research Publications Teaching
Aniwat Phaphuangwittayakul

Aniwat Phaphuangwittayakul

Assistant Professor & Lecturer & AI Researcher

International College of Digital Innovation, Chiang Mai University

My research focuses on the intersection of computer vision, complex networks, and generative models. I am particularly interested in few-shot learning methods, knowledge discovery from large-scale data, and developing practical AI systems for real-world applications including medical imaging and transportation.

Research Focus

  • Computer Vision
  • Complex Networks
  • Knowledge Discovery
  • Generative Models
  • Few-Shot Learning

Education

Doctor of Engineering (D.Eng.)
Computer Science and Technology
East China University of Science and Technology (ECUST)
2023
Master of Science (M.S.)
Control Science and Engineering
Beijing Institute of Technology (BIT)
2017
Bachelor of Science (B.Sc.)
Computer Engineering
Chiang Mai University
2012

Research Interests

Publications

  1. Understanding cross-cultural destination perceptions through key attraction factors: a dynamic analysis of Chinese tourist experiences in Thailand

    Phaphuangwittayakul, A.; Ramasamy, SS.; Ying, F.; Chakpitak, N.

    Tourism Recreation Research 2026

  2. Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model

    Ying, F.; Go, W.; Li, Z.; Ouyang, C.; Phaphuangwittayakul, A.; Dhuny, R.

    International Journal of Molecular Sciences 2025

  3. Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality Approach

    Tepsan W.; Phaphuangwittayakul A.; Sokantika S.; Harnpornchai N.

    Algorithms 2025

  4. Enhancing Multimodal Video Summarization via Temporal and Semantic Alignment

    Ying F.; Luo Z.; Phaphuangwittayakul A.

    International Conference on Neural Information Processing 2025

  5. RailTrack-DaViT: A Vision Transformer-Based Approach for Automated Railway Track Defect Detection

    Phaphuangwittayakul A.; Harnpornchai N.; Ying F.; Zhang J.

    Journal of Imaging 2024

  6. Augmented Reality-Enabled IoT Devices for Wireless Communication

    Ramasamy S.S.; Chokkanathan K.; Phaphuangwittayakul A.; Vijayalakshmi S.

    Bio-Inspired Computational Paradigms 2024

  7. Few-shot image generation based on contrastive meta-learning generative adversarial network

    Phaphuangwittayakul A.; Ying F.; Guo Y.; Zhou L.; Chakpitak N.

    Visual Computer 2023

  8. Adaptive adversarial prototyping network for few-shot prototypical translation

    Phaphuangwittayakul A.; Ying F.; Guo Y.; Guohui; Santisookrat S.

    Journal of Visual Communication and Image Representation 2023

  9. An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury

    Phaphuangwittayakul A.; Guo Y.; Ying F.; Dawod A.Y.; Angkurawaranon S.; Angkurawaranon C.

    Applied Intelligence 2022

  10. Fast Adaptive Meta-Learning for Few-Shot Image Generation

    Phaphuangwittayakul A.; Guo Y.; Ying F.

    IEEE Transactions on Multimedia 2022

  11. A hybrid method for traumatic brain injury lesion segmentation

    Dawod A.Y.; Phaphuangwittayakul A.; Angkurawaranon S.

    International Journal of Electrical and Computer Engineering 2022

  12. Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task

    Phaphuangwittayakul A.; Guo Y.; Ying F.; Xu W.; Zheng Z.

    IEEE International Conference on Multimedia and Expo 2021

  13. Adaptive slices in brain haemorrhage segmentation based on the SLIC algorithm

    Dawod A.Y.; Phaphuangwittayakul A.; Ying F.; Angkurawaranon S.

    Engineering Letters 2021

  14. Adaptive Image Segmentation for Traumatic Brain Haemorrhage

    Dawod A.Y.; Phaphuangwittayakul A.

    TEM Journal 2021

  15. Preliminary study and implementation of Chiang Mai tourism platform based on DOSA

    Panpeng V.; Fang M.; Phaphuangwittayakul A.; Rattanadamrongaksorn T.

    Advances in Intelligent Systems and Computing 2021

  16. Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential

    Wang S.; Malang K.; Yuan H.; Phaphuangwittayakul A.; Lv Y.; Lowdermilk M.D.; Geng J.

    Complexity 2020

  17. Identifying influential nodes of global terrorism network: A comparison for skeleton network extraction

    Malang K.; Wang S.; Phaphuangwittayakul A.; Lv Y.; Yuan H.; Zhang X.

    Physica A: Statistical Mechanics and its Applications 2020

  18. Skeleton network extraction and analysis on bicycle sharing networks

    Malang K.; Wang S.; Lv Y.; Phaphuangwittayakul A.

    International Journal of Data Warehousing and Mining 2020

  19. Smart farming in Thailand

    Tiammee S.; Wongyai J.; Udomwong P.; Phaphuangwittayakul A.; Saenchan L.; Chanaim S.

    SKIMA 2019 2019

  20. Analysis of Skill Demand in Thai Labor Market from Online Jobs Recruitments Websites

    Phaphuangwittayakul A.; Saranwong S.; Panyakaew S.-N.; Inkeaw P.; Chaijaruwanich J.

    JCSSE 2018 2018

  21. From complex network to skeleton: Mj-Modified topology potential for node importance identification

    Yuan H.; Malang K.; Lv Y.; Phaphuangwittayakul A.

    Lecture Notes in Computer Science 2018

Teaching