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박성혁 조교수 사진
박성혁 조교수
Contact Information
Research Areas Predictive Analytics; AI Applications; Recommender Systems


    Korea Advanced Institute of Science and Technology (2011) Seoul, Korea
    - Ph.D. in Management Engineering

    Korea Advanced Institute of Science and Technology (2005) Daejeon, Korea
    - B.S. in Applied Mathematics


    한국경영정보학회 이사/정회원 (2021)
    지능정보연구 편집부위원장 (2021)

    빅데이터 및 비즈니스 경영 연구센터장 (2022 -), KAIST College of Business, Seoul, Korea
    Adjunct Professor at KAIST Business School, KAIST (2018 - 2019) Seoul, Korea
    Postdoctoral Research Fellow (Faculty-visiting Scholar) at Leonard N. Stern School of Business, NYU (2012 - 2013, Advisor: Prof. Anindya Ghose) NY, NY

    CEO at Impact AI (2022 ~) Seoul, Korea (http://impactai.ai)
    CTO at Wconcept Korea (2019) Seoul, Korea
    Venture Partner at Dunamu & Partners (2018 - 2019) Seoul, Korea
    CEO and Founder at Recobell Co., Ltd. (2013 - 2018) Seoul, Korea
    CEO at YelloExchange Co., Ltd. (2016 - 2018) Seoul, Korea
    Technical Advisor at Ridi (2012) NY, NY


    아난티 사외이사 (2023~)
    효성ITX 사외이사 (2021~)
    LG CNS 자문교수 (2021)
    와이즈버즈 자문교수(2020)
    아이겐코리아 연구자문
Publications & Research

주요논문 (특허등)

    [Journal Publications]

    Hwang, E., Park, Y., Kim, J., Park, S., Kim, J., and Kim S. "Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model." IEEE Transactions on Neural Networks and Learning Systems, 2023, pp. 1-15.

    Shin, H., Han, I., and Park, S. "A Case Study on the Success and Failure of Yello Mobile." Korea Business Review, 25(2), 2021, pp. 91-206.

    Lee, D., Gopal, A., and Park, S. "Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and PC Channels in Retail." Information Systems Research, 31(3), 2020, pp.892-912.

    Park, S., and Han, S. "From Accuracy to Diversity in Product Recommendations: Relationship between Diversity and Customer Retention." International Journal of Electronic Commerce, 18(2), 2013, pp.51-71.

    Lee, D., Park, S., and Moon, S. "Utility-based Association Rule Mining: a Cross-Selling Solution for Large Data Sets." Expert Systems with Applications, 40(7), 2013, pp.2715-2725.

    Park, S., Huh, S., Oh, W., and Han, S. "A Social Network-Based Inference Model For Validating Customer Profile Data." MIS Quarterly, 36(4), 2012, pp.1217-1237.

    Park, S., and Kim, H. "A Design of Diversity-based Recommender System for Providing Anti-Churning Rules." Entrue Journal of Information Technology, 10(3), 2012, pp.7-17.

    Lee, D., Park, S., and Moon, S. "Measuring the Economic Impact of Item Descriptions on Sales Performance." Journal of Intelligence and Information Systems, 18(4), 2012, pp.1-17.

    Park, S., and Yang, K. "Data Mining Approach for Real-Time Processing of Large Data Using Case-Based Reasoning: High-Risk Group Detection Data Warehouse for Patients with High Blood Pressure." Korea Society of IT Service Journal, 10(1), 2011, pp.135-149.

    Park, S., Hwang, K., and Lee, D. "A PageRank based Data Indexing Method for Designing Natural Language Interface to CRM Databases." CRM Research, 2(2), 2009, pp. 53-70.

    Shin, M., Huh, S., Park, S., and Lee, W. "Relaxing Queries by Combining Knowledge Abstraction and Semantic Distance Approach." Journal of the Korean Operations Research and Management Science Society, 32(1), 2007, pp.215-126.

    [Conference Proceedings & Presentations]

    Jang, J., Hwang, E., and Park, S. "N-pad: Neighboring pixel-based industrial anomaly detection." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp.4364-4373.

    Choi, J., Hong, D., Jung, C., Hwang, E., Park, S., and Roh, S. "A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis Performance." In Proceedings of the 21st International Workshop on Data Mining in Bioinformatics (BIOKDD), 2022.

    Park, S., Lee, M., Kim, K., and Shin, D. "A Nonlinear Optimization Model of Advertising Budget Allocation across Multiple Digital Media Channels." In Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), 2022, pp.2163-2177.

    Kwon, S., Park, S., Lee, G., and Lee, D. "Learning Faces to Predict Matching Probability in an Online Matching Platform." In Proceeding of International Conference on Information Systems (ICIS), Copenhagen, Denmark, 2022.

    Kim, K., Lee, D., Park, S., and Sim. J. "Digital Rule of Thumb: A Natural Experiment on Autocomplete in Search Engines." In Proceeding of International Conference on Information Systems (ICIS), Copenhagen, Denmark, 2022.

    Hwang, Y., Kyung, N., Lee, D., Jung, J., and Park, S. "The Impact of Mobile Ordering Service on Offline Store Diversity and Product Diversity." In Proceedings of the 54th Hawaiian International Conference on System Sciences (HICSS), 2021.

    Park, S., Lee, M., and Shin, D. "Optimizing the Advertising Budget Across Multiple Online Channels: A Budget-Performance Curve Based Non-Linear Programming Model" WITS, 2020.

    Park, S., Lee, D., Lee, D., and Oh, W. "Network Inference based Deep Ensemble Learning for Standardizing Product Information: Solving the Poor Fit Problem in the Retail Apparel Industry." SCECR, Madrid, 2020.

    So, H., Oh, W., Kim, M., and Park, S. "The Pursuit of Conversion: Effects of Mediating Channels on Product Choices and Purchase Propensities in Social Commerce Platforms." In Proceeding of International Conference on Information Systems (ICIS), Dallas, USA, 2015.

    Lee, D., Gopal, A., and Park, S. "Mobile & Me: A Randomized Field Experiment of Customer Heterogeneity and Channel Use in Online Recommendation Systems." WISE, Dallas, 2015.

    Ghose, A., and Park, S. "The Negative Impact of Mobile Devices on Niche Product Consumption." In Proceeding of International Conference on Information Systems (ICIS), Milan, Italy, 2013.

    Hwang, K., Park, S., and Han, I. "Multi-Screen Strategy for Selling Mobile Content to Customers." In Proceeding of ICIS, Orlando, Florida, USA, 2012.

    Ghose, A., Han, S, and Park, S. "Analyzing the Interdependence between Web and Mobile Advertisement." INFORMS Annual Meeting IS Cluster, Phoenix, USA, 2012.

    Park, S., and Han, S. "Empirical Analysis of the Impact of Product Diversity on Long-Term Performance of Recommender Systems." In Proceedings of the 14th Annual International Conference on Electronic Commerce (ICEC), Singapore, 2012.

    Hwang, K., Park, S., and Han, I. "Who Buys Quality Contents on Multi-Screen Environment? The Impact of Smart Device Screen Size on Paid-Content Preference" INFORMS Marketing Science Conference, Boston, 2012.

    Lee, D., Park, S., and Moon, S. "High-Utility Rule Mining for Cross-selling." In Proceedings of the 44th Hawaiian International Conference on System Sciences (HICSS), 2011.

    Park, S., Han, S., Huh S., and Lee, H. "Preprocessing uncertain user profile data: inferring user’s actual age from ages of the user’s neighbors." In Proceedings of the 25th IEEE International Conference on Data Engineering (ICDE): Management and Mining of Uncertain
    Data, 2009, pp.1619-1624.

    Park, S., Lee, H., Han, S., and Lee, D., "User Profile Assessment Using SMS Network Neighbors’ Age Profiles." In Proceedings of the 23rd International Conference on Advanced Information Networking and Applications (AINA) Workshops, 2009, pp.960-965.


    - Business Intelligence and Big-data Analytics
    - Recommender Systems
    - Predictive Analytics

    - Information System Design and Development
    - Machine Learning
    - Artificial Intelligence
    - Business Modeling and Simulation

데이터베이스 관리와 빅데이터 분석(BIZ 584)

    IT 기술과 경영 (EMBA)(BIM692)

      비즈니스 애널리틱스와 데이터 마이닝(BIZ587)


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