Pongpisit Thanasutives
Special Postdoctoral Researcher (SPDR) at RIKEN
Minoh, Japan
Summary
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Senior🎓
Top SchoolPongpisit Thanasutives is a Special Postdoctoral Researcher at RIKEN with eight years of experience applying statistical and physics-informed machine learning to data-driven discovery of partial differential equations. Trained to a PhD level at Osaka University and with a background in computer engineering from Chulalongkorn University, he blends rigorous academic research with practical NLP experience from industry work on Thai sentiment analysis at KBTG. He routinely trains neural networks for a living and focuses on marrying principled modeling with real-world applications, especially where physics constraints improve data efficiency. Based in Minoh, Japan, Pongpisit brings both deep technical chops and an experimental mindset that bridges theory and deployable ML solutions.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at Osaka UniversityBachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Chulalongkorn University
English
Github Skills (13)
computer-vision10
convolutional-neural-networks10
crowd10
encoder-decoder10
counting10
physics-informed-neural-networks9
bayesian2
pde1
w-net1
keras1
database-management1
variable-selection1
database1
Programming languages (2)
Github contributions (5)
Pongpisit-Thanasutives/kuramoto-sivashinsky-solver
Dec 2021 - Feb 2023
Contributions:195 pushes, 1 branch in 1 year 1 month
Pongpisit-Thanasutives/Variations-of-SFANet-for-Crowd-Counting
Apr 2020 - Sep 2022
The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
Contributions:29 commits, 2 PRs, 25 pushes in 2 years 5 months
convolutional-neural-networksencoder-decodercrowd-countingucf-qnrfsegnet
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