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]


Purpose driven job by “MeetAnais”

■ 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