Watchanan Chantapakul

WATCHANAN CHANTAPAKUL

I've been working as a senior data scientist at LINE MAN Wongnai starting from October, 2022. I obtained my M.S. in Computer Science at the University of Missouri-Columbia in 2022. Thanks to Fulbright Thailand, I have received funding from the 2020 Fulbright Thai Graduate Scholarship Program. I have worked with Dr. Jim Keller for my MS thesis. I was also a graduate research assistant for Dr. Marjorie Skubic at 🏬 Center for Eldercare and Rehabilitation Technology. My research interest is fuzzy sets and clustering, but my broad areas of interest are computational intelligence (CI), pattern recognition (PR), and image processing (DIP). I graduated from Chiang Mai University (well, CMU in Thailand 🙏) with a Bachelor's degree in 👨‍🔧 Computer Engineering in 2018. After completing my senior project under the supervision of Dr. Sansanee Auephanwiriyakul, I was a research assistant for Dr. Karn Patanukhom from 2018 to 2020.

I am working on FuzzySets.jl which will be a Julia library for fuzzy sets-based relevant algorithms.

PUBLICATIONS

Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications
Nopparuj Suetrong, Teerapat Tosuai, Hung Vo Thanh, Watchanan Chantapakul, Suparit Tangparitkul and Natthanan Promsuk
Energy & Fuels 2024 (ENFL)
DOI:https://doi.org/10.1021/acs.energyfuels.3c04251
A real-time autonomous adjusting process for fluid-fluid displacement in CO2 geological sequestration
S. Mick Tangparitkul, Watchanan Chantapakul and Natthanan Promsuk
Advances in Geo-Energy Research, 2023, 7(2): 71-74 (AGER)
DOI:https://doi.org/10.46690/ager.2023.02.01
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Alex Morehead 1^st, Watchanan Chantapakul 1^st and Jianlin Cheng 2^nd
accepted to the 22^nd International Conference on Machine Learning and Applications (ICMLA 2023)
Controlling Membership Spread in Type-2 Fuzzy Clustering
Watchanan Chantapakul, James M. Keller and Sansanee Auephanwiriyakul
The 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022)
Eye Semantic Segmentation Using Ensemble of Deep Convolutional Neural Networks
Watchanan Chantapakul, Linda Hansapinyo and Karn Patanukhom
The 2nd Artificial Intelligence and Cloud Computing Conference (AICCC 2019), Kobe, Japan, December 2019
DOI:https://doi.org/10.1145/3375959.3375986
Thai Handwritten Character Segmentation Based on Deep Learning
Kunnapat Thipparaphonkul, Watchanan Chantapakul, Chayanin Suatap and Karn Patanukhom
The 2nd Artificial Intelligence and Cloud Computing Conference (AICCC 2019), Kobe, Japan, December 2019
DOI:https://doi.org/10.1145/3375959.3375990
Person Identification from Full-Body Movement Using String Grammar Fuzzy-Possibilistic C-Medians
Watchanan Chantapakul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon and Navadon Khunlertgit
The 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2018), Penang, Malaysia, November 2018
DOI:https://doi.org/10.1109/ICCSCE.2018.8685018

MISCELLANEOUS

I published a University of Missouri-Columbia Thesis Template which is a LaTeX template available on Overleaf.
Give a shoutout to Creating a Hugo Theme From Scratch and Tawian frontend CSS framework for helping me set up this static website.

RELEVANT COURSES

At the University of Missouri-Columbia
- Pattern Recognition and Machine Learning: A showcase for some basic pattern recognition algorithms, check out my repository or this page
  - Mahalanobis distance, whitening transformation, Euclidean distance, and proof: page
  - Discriminant function, eigen decomposition, maximum likelihood, posterior distribution, and decision boundary: page
  - Bayesian Belief Network: page
  - Bayesian parameter estimation: page
  - Maximum likelihood vs. discriminant function vs. Bayesian estimation (for Guassian distribution): page
  - Bayesian decision rule (BDR), multiple discriminant analysis (MDA), Parzen window (kernel density estimation), k-nearest neighbors (k-NN), and the Perceptron criterion: page
- Neural Networks
  - Growing Neural Gas (GNG): notebook
  - Radial Basis Network (RBF): notebook
  - Recurrent Neural Network (RNN): notebook