BRIEF BIO

I am an Associate Professor at Department of Computer Engineering, Inha University and leading Data Intelligence & Applications Lab. Before joining Inha University, I was an Associate Professor at Department of Software, Kongju National University (KNU) and a Senior Researcher at Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI). I earned the Ph.D. degree under the supervision of Prof. Jae-Gil Lee from Korea Advanced Institute of Science and Technology (KAIST) in 2017. My current research focuses on data-centric AI, stream data mining, and graph mining.

RESEARCH INTERESTS

• Data-Centric AI

• Stream Data Mining

• Graph Mining

PROFESSIONAL EXPERIENCE

• Associate Professor, Department of Computer Engineering, Inha University, 2024 ~ present

• Assistant / Associate Professor, Department of Software, KNU, 2020 ~ 2024

• Senior Researcher, Artificial Intelligence Research Laboratory, ETRI, 2019 ~ 2020

• Postdoctoral Researcher, Industrial Management Research Institute, KAIST, 2017 ~ 2018

EDUCATION

• Ph.D. in Data Science*, KAIST (Advisor: Prof. Jae-Gil Lee), 2017

• M.S. in Data Science*, KAIST (Advisor: Prof. Jae-Gil Lee), 2013

• B.S. in Information and Communication Engineering, Inha University, 2011

    * Formerly, Knowledge Service Engineering

PUBLICATIONS

• Data Intelligence and Applications Lab (Selected Publications)

MAJOR PROJECTS

• Data Intelligence and Applications Lab (Projects)

PROFESSIONAL ACTIVITIES

• Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Evolutionary Computation (TEVC), IEEE Transactions on Computational Social Systems (TCSS), Data & Knowledge Engineering (DKE), Knowledge and Information Systems (KAIS), Engineering Applications of Artificial Intelligence (EAAI), etc.

• Program Committee

  • ACM Web Conference (WWW) 2022 ~ 2025, ACM International Conference on Web Search and Data Mining (WSDM) 2023 ~ 2025, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018 ~ 2025, IEEE International Conference on Big Data and Smart Computing (BigComp) 2024 ~ 2025, etc.

• Board Member

  • Frontiers in Public Health, 2023~present.

  • KIISE Data Society of Korea, 2021~present.

• Member

  • IEEE, ACM, KIISE, etc.

AWARDS AND HONORS

• Excellent Researcher, KNU, 2021, 2022

• Excellent Lecturer, KNU, 2020

• Best Paper Award, Conf. on Korea Knowledge Information Technology and Systems (KKITS), 2020

• Best Presentation Award, Bi-Annual KSE Student Colloquium, KAIST, 2017

• National Scholarship for Graduate Studies, Republic of Korea, 2011 ~ 2017

TEACHING EXPERIENCE

• Data Intelligence and Applications Lab (Lectures)

REFERENCES

Available upon request.

Last updated: Sep. 2, 2024