Kornraphop Kawintiranon (Ken)

3700 Reservoir Rd NW · STM313.26 · Washington · DC 20007 · kornraphop.k [at] gmail [dot] com

Hello! I am a fourth-year Ph.D. student in the Department of Computer Science at Georgetown University located in Washington, DC. I am also a member of The Massive Data Institute (MDI) working with Prof. Lisa Singh.

I received my bachelor degree in Computer Engineering from Chulalongkorn University. After working for a short time and realizing my interest in machine learning and its applications, I started pursuing Ph.D. at Georgetown University where I obtained MS degree in computer science as a path toward Ph.D.

My research primarily focuses on Data Science, Natural Language Processing and Social Media Mining.

News

2021-03 Our paper has been accepted as a long paper at NAACL 2021.
2021-01 I will be interning at Google AI during the summer.
2020-11 My neural-network-based model was used to analyze the presidential debates at USAPP.
2020-10 Our stance analysis on Twitter during the 1st presidential debate is up at Mccourt School News.
2020-08 The project with CNN known as The Breakthrough is reported weekly at CNN Politics.
2020-07 Our paper analyzing misinformation about COVID-19 was accepted at Journal of Computational Social Science.
2020-06 I start working with CNN, MDI and U of Michigan to analyze public opinions about the US election.
2020-05 Our work about COVID-19 misinformation was reported at Washington Post.

Education

Georgetown University

Doctoral of Philosophy (Ph.D.)
Computer Science
Aug 2017 - Present

Georgetown University

Master of Science (M.S.)
Computer Science
Aug 2017 - May 2019

Chulalongkorn University

Bachelor of Engineering (B.E.)
Computer Engineering - AI & ML Track
May 2012 - Jun 2016

Publications

Knowledge Enhanced Masked Language Model for Stance Detection [to be appear]
Kornraphop Kawintiranon, Lisa Singh

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (accepted at NAACL2021)

Understanding High and Low Quality URL Sharing on COVID-19 Twitter Streams [Link]
Lisa Singh, Leticia Bode, Ceren Budak, Kornraphop Kawintiranon, Colton Padden, Emily Vraga

Journal of Computational Social Science (JCSS2020)

A first look at COVID-19 information and misinformation sharing on Twitter [Link]
Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily Vraga, Yanchen Wang

Preprint (arXiv2020)

Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration [Link]
Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine Donato, Yaguang Liu and Kornraphop Kawintiranon

The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2019)

Understanding knowledge areas in curriculum through text mining from course materials [Link]
Kornraphop Kawintiranon, Peerapon Vateekul, Atiwong Suchato and Proadpran Punyabukkana

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2016).
Best paper award finalist (3 of 87 papers)

Online music emotion prediction on multiple sessions of EEG data using SVM [Link]
Kornraphop Kawintiranon, Yanika Buatong and Peerapon Vateekul

13th International Joint Conference on Computer Science and Software Engineering (JCSSE2016)

An Investigation of Effect of Bioluminescent Light on Human using Electroencephalogram [Link]
Nattapong Thammasan, Megumi Iwano, Koichi Moriyama, Ken-ichi Fukui, Kornraphop Kawintiranon, Yanika Buatong, Shigenori Inagaki, Takeharu Nagai, and Masayuki Numao

The 23nd International Display Workshop in conjunction with Asia Display (IDW/AD2016)

Dry electrode EEG-based music emotion recognition [Link]
Nattapong Thammasan, Kornraphop Kawintiranon, Yanika Buatong, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao

The 20th SANKEN International The 15 SANKEN Nanotechnology Symposium (poster)


Experience

Massive Data Institute (MDI), USA

Research Assistant

Research in data science, NLP and social media mining focusing on misinformation and fake news in social media. Collaborate with researchers from CNN and U of Michigan to conduct and weekly report our analysis about the US election at The Breakthrough.

May 2020 - Aug 2020

Department of Computer Science, Georgetown University, USA

Teaching Assistant

COSC-282 Big Data Analytics (Spring 2018)
COSC-287 Introduction to Data Science (Fall 2019)

Dec 2018 - May 2020

LINE Corporation (Tourkrub.co & DGM59), Thailand

Software Engineer

Gather requirements, design, development, testing and validation using Ruby on Rails. Successfully developed APIs to reduce back-office operation time by 75% including PDF bill generation, email confirmation, bank account notification for slack, etc.

Feb 2017 - Jun 2017

The Institute of Scientific and Industrial Research (ISIR), Osaka University, Japan

Research Intern

Research in Neuroscience and Machine Learning mainly using MATLAB and C++. The advisor is Prof. Masayuki Numao. Collaboratively conduct experiments with the Biochemical Lab (Nagai Lab) and develop APIs to collect streaming data from EEG brainwave headset in C++ and apply ML model to evaluate user’s emotions

Jun 2015 - Aug 2015

Department of Computer Engineering, Chulalongkorn University, Thailand

Research Assistant

I was a member of Machine Intelligence and Knowledge Discovery Lab (MIND Lab) conducting research to solve data science problems in real-world including wind power prediction from power plants (time series), emotion prediction from brain wave (neuroscience and ML/AI) and analysis of course materials (text mining)

Jan 2015 - Dec 2016

Related Courses

Graduate-level Courses

  • Algorithms
  • Machine Learning
  • Neural Networks and Deep Learning
  • Text Mining & Analysis
  • Intro to Data Analytics
  • Massive Data Fundamentals
  • Web Search and Sense Making (Scala)
  • Dialogue Systems
  • Algorithms for Distributed Machine Learning (Ph.D. Seminar)
  • Distributed Algorithms and Systems (Ph.D. Seminar)
  • Deep Reinforcement Learning (Ph.D. Sit-in)

Undergraduate-level Courses

  • Algorithm Design
  • Artificial Intelligence
  • Software Engineering
  • Auto Speech Recognition
  • Time Series Mining
  • Web Development
  • Statistics for Physical Science
  • Data Structure (C++)
  • Programming Method (JAVA)
  • Distributed System Essential
  • System Analysis and Design
  • Computer Security
  • Database Design
  • Computer Network
  • Computer Graphic

Interests

Apart from being a Ph.D. student, I enjoy a variety of hobbies. I like soccer and used to play soccer every day when I was in high school. I am a big fan of Liverpool team in England. I also like eSport including Dota2 and PUBG. My favorite teams for those games are OG and FaZe Clan, respectively.

When forced indoors, I follow a number of sci-fi and fantasy genre movies, TV series, comics, and novels. Additionally, I am a big fan of new cutting-edge technology, I spend a large amount of my free time exploring the latest technology advancements in the AI world.

I am a freelance programmer. I design and create websites such as an old-style study-abroad website (as requested by the customer to make it as old as possible!) named wlc2china. Since I like games so I also design and create games using Unity3D with C# such as Energy Conservation Game for elementary school students. The game is in the process of getting patent.