Sorn Chottananurak

Latest News

March 2025

I was accepted into the MSc program in Computer Science at ETH Zurich!

February 2025

I graduated from KAIST with Summa Cum Laude (First-Class Honors)

February 2025

I was selected for Outstanding Graduate (GPA) Award!

October 2024

I was selected for the College of Engineering (CoE) Leadership Award!

October 2024

I was selected for the College of Engineering (CoE) Leadership Award!

October 2024

I was on the Dean's List for the Spring Semester 2024 with a GPA of 4.16/4.30!

September 2024

My project won the Grand Prix (1st place) in the URP workshop!

July 2024

My URP project was selected for an oral presentation in the URP workshop!

June 2024

Our project, OceanSpace, was selected as one of the top 6 finalists in the Typhoon Hackathon 2024, Thailand!

January 2024

Our paper, AETTA, was accepted to CVPR 2024!

December 2023

I was selected to participate in the URP program!

September 2023

Our paper, SoTTA, was accepted to NeurIPS 2023!

June 2023

I joined Siam Commercial Bank (SCB) as a data scientist intern in credit risk team!

June 2022

I joined NMSL as an undergraduate researcher, working on HCI, Mobile Computing, and Machine Learning!

March 2021

I was on the Dean's List for the Fall Semester 2020 with a GPA of 4.27/4.30!

About Me

Sorn Chottananurak
    Sorn
    Chottananurak


Hello There!

I am a fresh graduate from the Korea Advanced Institute of Science & Technology (KAIST) with double majors in Computer Science and Electrical Engineering. My research and professional interests span across machine learning, data science, domain adaptation, personalized AI, and topics beyond supervised learning (semi-supervised learning, self-supervised learning, and unsupervised learning).

As an active researcher, I am working on innovative projects related to state-of-the-art technology in machine learning and data science. Currently, I am exploring new opportunities that align with my passion and expertise.

Feel free to check out my Resume!

Experience

  • Work Experience

  • Undergraduate Researcher

    Undergraduate Researcher

    Networking & Mobile Systems Lab (NMSL) 2022 - Current

    I have been deeply involved in end-to-end research across several fields, including Machine Learning, Mobile Systems, and Human-Computer Interaction. I have contributed to and played a significant role in advancing 7 research projects from ideation to paper-writing, three of which have led to publications in top-tier conferences.
    Here are some of my research projects : AETTA, SoTTA, Attention

  • Data Scientist Intern

    Data Scientist Intern

    Siam Commercial Bank (SCB) 2023

    I led the 'Risk-Based Pricing and Cut-off Optimization' project in the Credit Risk Team. I developed an optimization solution using CVXPY and reinforcement learning, along with a novel multiplier grading system. This approach was mathematically shown to maximize Risk-Adjusted Return on Capital (RAROC), enhancing pricing and decision-making processes.

  • Education

  • Education

    B.S. School of Computing

    Double Major: Computer Science & Electrical Engineering
    Korea Advanced Institute of Science & Technology (KAIST) 2020 - 2024

    Overall GPA: 4.13/4.30

    Summa Cum Laude (First-Class Honors)                                                                                                                                    

  • High School

    High School

    Major: Mathematics & Science
    Mahidol Wittayanusorn School (MWIT) 2017 - 2020

    Overall GPA: 3.98/4.00                                                                                                                                                        

  • Pre-Secondary Education

    Pre-Secondary Education

    Kasetsart University Laboratory School, Center for Educational Research and Development (KUS)

    2008 - 2017                                                                                                                                              

Academic Projects

OceanSpace

LLM-based Personalized Digital Sanctuary for Stress Relief

LLM Chatbot Personalization Mental Health Full-Stack

AdaDQN

Adaptive Deep Q-Learning: Enhancing Performance of Deep Q-Networks in the Face of Covariate Shift

Reinforcement Learning Domain Adaptation Atari Game

DUMBS

Dynamic Uncertainty Minimization with Adaptive Batch Normalization Statistic for Graph Neural Networks

Graph Node Classification Domain Adaptation GNN

EvolveUniTest

Evolving Prompt with Genetic Algorithm Yields Powerful Instruction for Unit Test Generation

Unit Testing Prompt Engineering Evolutionary Algorithms LLM

PSKD-ML

Progressive Self-Knowledge Distillation with Mutual Learning

Knowledge Distillation Model Compression Deep Learning

OECT

Optimized-Embedded Cluster & Tune: Boost Cold Start Performance in Text Classification

LLM Text Classification Cold Start Transfer Learning

Publications

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Acceptance Rate: 23.6%.

[Paper] [Website] [Code] [Video]
Publication Image

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee. In Advances in Neural Information Processing Systems (NeurIPS), 2023 * Equal Contribution. Acceptance Rate: 26.1%.

[Paper] [Website] [Code] [Video/Poster]
Publication Image

Awards

Summa Cum Laude

Fall, 2024

Highest academic distinction for outstanding graduates, i.e., first-class honors.

Outstanding Graduate (GPA) Award

Fall, 2024

Recognition of a graduate with one of the highest GPAs in the graduating class.

Finalist from Typhoon Hackathon, Thai Language AI for Inclusivity

Summer, 2024

One of the top six projects among all participants.

Grand-Prix in Undergraduate Research Participation (URP) Program

Winter-Spring, 2024

The best project (1st-place) among all presented URP projects.

College of Engineering Leadership Award

Spring, 2024

Top-selected undergraduate students at KAIST for outstanding academic publications.

Dean's List Academic Excellent Award

Spring, 2024

Top 2% College of Engineering, KAIST. GPA: 4.16/4.30

Oral Presentation in Undergraduate Research Participation (URP) Program

Winter-Spring, 2024

Top-selected undergraduate students at KAIST to engage in active research activities.

Dean's List Academic Excellent Award

Fall, 2020

Top 2% College of Engineering, KAIST. GPA: 4.27/4.30

National Scholarship Tier 1

Fall, 2020 - Spring, 2025

Tuition fee and full amount of school support fees supported by Korea Government.

Contact me!

If you're into research, machine learning, or just want to chat about basketball, feel free to hit me up!

Send me an email!