Curriculum Vitae
Donghyeon Park(박동현, 朴東炫), Ph.D.
Current Work : Data Mining & Information System Lab in Korea University
Current Position : Post-doctoral Researcher / Research Professor
Email 1 : dhyeon.park [at] gmail [dot] com
Email 2 : parkdh [at] korea [dot] ac [dot] kr
Phone : +82-10-4860-7491
Homepage : dmis.korea.ac.kr
■ Main Research Interest
FoodInformatics / Food-related Data Science
ChemInformatics / Chemistry-related Data Science
Natural Language Processing
■ Personal Sites
[Github],[Google Scholar], [Research Gate], [DBLP], [LinkedIn]
■ Work Experience
Korea University (Current) 2020.08. - Present
Post-doctoral Researcher
Work: Food-related data science
SONY AI x Robotics x Cooking 2019. 11. - 2020. 03. (4 months)
Visiting Researcher in Tokyo, Japan
Work: Building a food pairing simulator
Supervisor: Michael Spranger, Ph.D.
Opinion8 - The start-up company 2015.07 - 2016. 02. (8 months)
Research Intern in Seoul, South Korea
Work: Building a restaurant recommendation system
Supervisor: Jaehoon Choi, Ph.D.
Daumsoft 2014. 06. - 2014. 08. (3 months)
Student Intern in Seoul, South Korea
Work: Data mining analysis on Twitter and Naver Blog
■ Education
Korea University, Seoul, South Korea 2017. 03. - 2020. 08.
Ph.D. in Computer Science
Theis title: "Deep Learning Approaches for Representing Food Entities and Recommending Food Pairings"
Advisor: Prof. Jaewoo Kang
Korea University, Seoul, South Korea 2015.03 - 2017. 02.
M.S. in Computer Science, Bioinformatics
Thesis title : "A Dataset for Teaching Machines to Read and Comprehend Scientific Literature"
Advisor: Prof. Jaewoo Kang
Korea University, Seoul, South Korea 2011. 03. - 2015. 02.
B.E. in Computer Science
■ Research Topics in Detail
FoodInformatics
Food Ingredient Embedding
Drink Recipe Analysis
Food & Drink Pairing based on Artificial Intelligence
Personalized Food Recommendation System
ChemicalInformatics
Drug Response Similarity Prediction for New Drug Development
Polyurethane Property Prediction & Formulation Recommendation (Collaboration with SKC)
Natural Language Processing
Question & Answering based on Academic Resources
Dataset Generation & Management for Natural Language Processing
Sentiment & Spam Classification
SNS Review Data Anaylsis