👋 Hello! I'm Sorn Chottananurak (My Website)
🎓 Recent graduate from KAIST with dual degrees in Computer Science and Electrical Engineering (AI Specialization).
🔬 I bring over three years of AI/ML research experience from the Networking & Mobile Systems Lab (NMSL) at KAIST, where I contributed to 7 research projects from ideation to paper writing. My work has resulted in three publications in top-tier conferences.
🏦 Additionally, I gained valuable industry experience as a Data Scientist Intern at SCB (Siam Commercial Bank) in Bangkok, Thailand, where I led the 'Risk-Based Pricing and Cut-off Optimization' project.
🏆 Publications
- Test-Time Adaptation with Binary Feedback
- Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee.
- International Conference on Machine Learning (ICML), 2025 (Acceptance Rate: 26.9%)
- AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
- Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee.
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Acceptance Rate: 23.6%)
- SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
- Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee. (*Equal Contribution)
- Conference on Neural Information Processing Systems (NeurIPS), 2023 (Acceptance Rate: 26.1%)
- UWB Knows Who Spoke: Speaker Diarization with Speech Gesture Sensing and Audio
- Wan Ju Kang, Ryuhaerang Choi, Sorn Chottananurak, Sangwook Bak, Sung-Ju Lee
💻 Technical Skills
- Languages: Python
- Frameworks: TensorFlow, PyTorch, Scikit-Learn, Transformer/LLM Frameworks
- Cloud Platforms: Azure, Spark on Databricks
💡 My research interests include
- 🖼️ Computer Vision
- 🤖 Reinforcement Learning
- ✨ Generative AI/NLP
- 🧠 Domain Adaptation
- 📊 Data Science
- ⚖️ AI Ethics and Bias Mitigation
- 📱 Mobile Systems
- 🧑💻 Human-Computer Interaction
📫 You can reach me through:
- 📧 Email: [email protected] or [email protected]
More About My Journey
My academic journey at KAIST, specializing in AI within my dual Computer Science and Electrical Engineering degrees, has been incredibly enriching. At the Networking & Mobile Systems Lab, I was deeply involved in the full lifecycle of research, contributing to projects spanning Machine Learning, Mobile Systems, and Human-Computer Interaction. This hands-on experience culminated in publications at top-tier AI conferences like NeurIPS, CVPR, and ICML, showcasing my ability to conduct impactful research.
My internship at SCB in Bangkok provided valuable insights into the practical application of data science and AI within the financial industry. Leading the 'Risk-Based Pricing and Cut-off Optimization' project allowed me to leverage my analytical and problem-solving skills to deliver tangible improvements.
I am passionate about leveraging my strong theoretical foundation and practical experience to contribute to innovative projects in AI and related fields.
Let's Connect!
I am eager to connect with fellow researchers, developers, and enthusiasts. Feel free to reach out!