Data Scientist

Professor





Area of Expertise


Artificial Intelligence(AI)

Machine Learning, Computer Vision, NLP (Natural Language Processing)

Statistical Analysis 

Econometrics Models, Predictive Model, Time Series Analysis


남기환 (Kihwan Nam)

Assistant professor, Management of Technology, Korea University.

E-mail: namkh@korea.ac.kr

Address: 145, Anam-ro, Seongbuk-gu, Seoul, Republic of Korea


Professional Experience

[2023 ~ Present]  Assistant professor, Management of Technology, Korea University

[2020 ~ 2023]  Assistant professor, Management Information Systems, Dongguk University

[2022 ~ 2023]  CEO, AimedAI.

[2021 ~ 2022]  CEO, Basbai.

[2018 ~ 2019]  Co-founder, Sentience.



Education

Ph.D., Information Systems, Management Engineering, KAIST College of Business. 

M.S., Industrial Engineering, Korea University.

B.A., Statistics, Yonsei University.


Research Interests

Artificial Intelligence(AI), Business Analytics, Big Data Analytics, Machine Learning, Computer Vision, NLP (Natural Language Processing), Econometrics Models


Fields

E-commerce, Healthcare, Smart Factory, Financial Market

Kihwan Nam is Assistant professor, Management of Technology, Korea University. His research interests are focused on Artificial Intelligence, Quantitative Marketing, Recommender System, Big Data Analytics, Data Mining, Deep Learning and Statistical Analysis. He has focused on technical data analysis research. His research has been published in Journal of Marketing Research, Decision Support Systems, Knowledge-Based Systems, Information & Management, Expert Systems with Applications, Data Mining and Knowledge Discovery and Electronic Markets. He is also a data scientist. In addition to his academic research, he is making a positive contribution to both academia and industry by successfully carrying out various projects in a big international company based on theory.

Research Interests

My research interests focus on data analysis in various IT environments. I am interested in various research fields in the IT environment, such as big data analysis and survey data analysis but mostly focused on big data analysis. My main research areas are predictive research which improves performance using data mining, machine learning, and deep learning, and research on hypothesis testing based on econometric models. I have incorporated these research methods into the IT environment and conducted meaningful data-based research in various perspectives.


Technique

Programming Language

Skill set