Aniwat Phaphuangwittayakul

Aniwat Phaphuangwittayakul

D.Eng., Lecturer

International College of Digital Innovation
Chiang Mai University

Research Focus

Computer Vision Complex Network Knowledge Discovery Generative Models Few-Shot Learning

Education

D.Eng. (Computer Science and Technology)

East China University of Science and Technology (ECUST)

2023

M.S. (Control Science and Engineering)

Beijing Institute of Technology (BIT)

2017

B.Sc. (Computer Engineering)

Chiang Mai University

2012

Research Interests

Computer Vision

Image processing, object detection, and visual recognition

Complex Network

Interconnected systems with nodes and edges showing emergent behaviors

Knowledge Discovery

Process of extracting useful insights from large datasets

Generative Models

GANs, VAEs, and other generative AI architectures

Few-Shot Learning

Learning from limited data and meta-learning approaches

Publications

2025

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

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

Algorithms

Complex Network Transportation Systems Gravity Centrality
2025

Enhancing Multimodal Video Summarization via Temporal and Semantic Alignment

Ying F.; Luo Z.; Phaphuangwittayakul A.

International Conference on Neural Information Processing

Computer Vision Video Summarization
2024

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

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

Journal of Imaging

Computer Vision Transformers Railway Systems
2024

Augmented Reality-Enabled IoT Devices for Wireless Communication

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

Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks

AR/VR IoT Wireless Communication
2023

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

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

Visual Computer

Few-Shot Learning GANs Meta-Learning
2023

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

Few-Shot Learning Prototypical Networks Translation
2022

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

Deep Learning Medical Imaging Computer Vision
2022

Fast Adaptive Meta-Learning for Few-Shot Image Generation

Phaphuangwittayakul A.; Guo Y.; Ying F.

IEEE Transactions on Multimedia

Meta-Learning Few-Shot Learning Image Generation
2022

A hybrid method for traumatic brain injury lesion segmentation

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

International Journal of Electrical and Computer Engineering

Medical Imaging Segmentation Brain Injury
2021

SELF-ATTENTION RECURRENT SUMMARIZATION NETWORK WITH REINFORCEMENT LEARNING FOR VIDEO SUMMARIZATION TASK

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

Proceedings - IEEE International Conference on Multimedia and Expo

Video Summarization Reinforcement Learning Self-Attention
2021

Adaptive slices in brain haemorrhage segmentation based on the slic algorithm

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

Engineering Letters

Medical Imaging Segmentation SLIC Algorithm
2021

Adaptive Image Segmentation for Traumatic Brain Haemorrhage

Dawod A.Y.; Phaphuangwittayakul A.

TEM Journal

Medical Imaging Segmentation Brain Hemorrhage
2021

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

Tourism Platform DOSA Smart Tourism
2020

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

Complex Networks Topology Network Analysis
2020

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

Complex Networks Network Analysis Influential Nodes
2020

Skeleton network extraction and analysis on bicycle sharing networks

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

International Journal of Data Warehousing and Mining

Network Analysis Bicycle Sharing Data Mining
2019

Smart farming in Thailand

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

2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019

Smart Farming Agriculture IoT
2018

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

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

Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018

Labor Market Analysis Data Mining Job Market
2018

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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Complex Networks Topology Node Importance

Teaching Courses

888102

Big Data for Business

Advanced analytics and data science applications in business contexts

888111

Innovative Entrepreneurship Theory and Practice

Effective innovative business plan development

888251

Digital Platforms

Modern digital platform architectures and development

888311

Digital Business Ecosystem

Understanding digital transformation and business ecosystems

888343

Application Development for Digital Startup

Low-code and no-code platforms for rapid application development

888351

Modern Computer Vision and Applications

Advanced computer vision techniques for entrepreneurs

Interactive AI Demonstrations

Computer Vision Demo

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