Data Scientist
Professor
Area of Expertise
Artificial Intelligence(AI)
AI [Agentic AI, Generative AI, Explainable AI, Physical AI], AX, Computer Vision, LLM, RAG, Large Multimodal Model(LMM), Digital Transformation(DX)
Statistical Analysis
Econometrics Models, Predictive Model, Time Series Analysis,Quantitative Marketing,
남기환 (Kihwan Nam)
Associate Professor, Management of Technology, Korea University.
Founder, High Technology-based Artificial Intelligence Company, Aimtory
E-mail: namkh@korea.ac.kr / namkh@aimtory.com
Address: 145, Anam-ro, Seongbuk-gu, Seoul, Republic of Korea
[Homepage] [LinkedIn] [University] [Company] [Google Scholar] [Orcid] [Portal]
[Artificial Intelligence Beyond Limits Lab]
Academic Experience
Associate Professor, Management of Technology, Korea University
Assistant professor, Management of Technology, Korea University
Assistant professor, Management Information Systems, Dongguk University
Industry Experience
Founder, High Technology-based Artificial Intelligence Company, Aimtory
CEO, Artificial Intelligence Solution Company, Basbai[Exit].
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
AI [Agentic AI, Generative AI, Explainable AI, Physical AI], AX, Business Analytics, LLM(Large Language Model), RAG(Retrieval-Augmented Generation), NLP(Natural Language Processing), Large Multimodal Model(LMM), Digital Transformation(DX), CV(Computer Vision), Statistical Analysis [Econometrics Models, Predictive Model, Time Series Analysis], Quantitative Marketing, Stock & Cryptocurrency Price Prediction (Financial Technology)
Fields
Management Information System, Smart Factory, Healthcare, Financial Market
Award
[Best Paper Award] Recommender System for Retail Stores that Carry Identical Brands, Korea Intelligent Information System Society (2017)
[Best Paper Award] A "Falsely-Framed" Choice: A Randomized Field Experiment on the Attraction Effects in Recommender Systems, Information Systems Review Society (2019)
[Best Paper Nominees] Deep learning for financial distress prediction considering individual effect and complex system, INFORMS Data Science Workshop (2020)
[Award] Big Data Competition, Korea Gas Corporation (2022)
[Award] Big-Star Solution Platform, Startup Promotion Agency (2022)
[Best Researcher Award] International Distinguished Paper Section, Dongguk University (2023)
[Best Faculty Award] Domain: Artificial Intelligence, 18th Edition of COS International Research Awards (2025)
I am an Associate Professor in the Management of Technology at Korea University. My research interests center on Artificial Intelligence, with a particular emphasis on Agentic AI, Generative AI, Explainable AI, Physical AI, Digital Transformation (DX), Business Analytics, Big Data Analytics, Machine Learning, Computer Vision, Large Language Models (LLMs), Natural Language Processing (NLP), Robo-Advisors, Econometric Models, and Quantitative Marketing. My work is grounded in advanced technical data analysis. My research has been published in leading academic journals, including the Journal of Marketing Research, Decision Support Systems, Knowledge-Based Systems, Expert Systems with Applications, Data Mining and Knowledge Discovery, and Information & Management. In addition to my academic pursuits, I am an experienced data scientist and have made significant contributions to both academia and industry by successfully leading and collaborating on a variety of projects with major international corporations, leveraging theoretical insights to drive practical impact.
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.
AI [Agentic AI, Generative AI, Explainable AI, Physical AI], AX
Computer Vision
LLM, RAG, NLP (Natural Language Processing)
Large Multimodal Model(LMM)
Digital Transformation(DX)
Robot Advisor, Stock & Cryptocurrency Price Prediction (Financial Technology)
Advanced Personalization Strategy based on Technical Analysis
Curation
Recommender system
Smart Factory & Healthcare
Business Analytics & Business Intelligence
Data Mining for Business Analysis
Statistical Analysis for Business Analysis
Application of Parallel Computing on Large Scale Business Analysis
Economics of IS
Quantitative Marketing (Econometrics Models for Marketing Decisions)
Blockchain, Token economy
Customer Behavior
Python, R, Java, C++, C, SQL, STATA, SAS, JMP, SPSS, Spark, Hadoop
Tensorflow, Keras, Crawling, Econometrics, Complex System Analysis, CUDA programming