About me
I'm a Ph.D. student in Computer Science at Virginia Tech, advised by Prof. Yan Chen. My research explores how human-centered interactions can enhance educational tools for real-time learning.
During my M.S. at UC San Diego, I worked with Prof. Haijun Xia on natural language interfaces for data analysis. I earned my B.Eng. in Computer Engineering from Chulalongkorn University, where I was supervised by Prof. Boonserm Kijsirikul on research in brain-computer interfaces.
I also previously worked as a software engineer at Amazon Alexa on the Alexa Comms Calling Experience team, and at LSEG on the Post-trade FX Deal Tracker team.
Publications
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Dynamite: Real-Time Debriefing Slide Authoring through AI-Enhanced Multimodal Interaction
VL/HCC 2025
Panayu Keelawat, David Barron, Kaushik Narasimhan, Daniel Manesh, Xiaohang Tang, Xi Chen, Sang Won Lee, Yan Chen
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Transforming Procedural Instructions into In-Situ Augmented Reality Guides with InstructAR
UIST Poster 2024
Panayu Keelawat, Ryo Suzuki
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NBGuru: Generating Explorable Data Science Flowcharts to Facilitate Asynchronous Communication in Interdisciplinary Data Science Teams
CSCW Poster 2023
Panayu Keelawat
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Towards understanding text-data connection in documents through the lens of data operations
M.S. Thesis
Panayu Keelawat
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A comparative study of window size and channel arrangement on EEG-emotion recognition using deep CNN
Sensors
Panayu Keelawat, Nattapong Thammasan, Masayuki Numao, Boonserm Kijsirikul
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Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks
CSPA 2019
Panayu Keelawat, Nattapong Thammasan, Boonserm Kijsirikul, Masayuki Numao
