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PARK,  SUNGHYUK Assistant Professor 사진
PARK, SUNGHYUK Assistant Professor
Contact Information
Research Areas Predictive Analytics; AI Applications; Recommender Systems
Biography

Education

    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

Career

    [ACADEMIC SERVICE]
    Director of the Advanced Innovation Management (AIM) Program (2023 -), KAIST College of Business
    Director of the Blockchain and Digital Assets Program (2021 -), KAIST College of Business
    Member of the Association for Information Systems (AIS)


    [ACADEMIC EXPERIENCE]
    Director of the Center for Big Data and Business Analytics Management (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


    [FIELD EXPERIENCE]
    CEO at Impact AI (2022 -) Seoul, Korea (http://impactai.ai/en/)
    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

Industry Advisory Activities

    Outside Director at Ananti (2023 ~), KOSDAQ listed company
    Outside Director at Hyosung ITX (2021~), KOSDAQ listed company
    Advisor at LGCNS (2021, Big Data and DMP)
    Technical Advisor at Ridi (2012) NY, NY
Publications & Research

Publications (patents, etc.)

    [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.

Research Areas

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

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

IT Management (EMBA)(BIM692)

    Database Management and Big Data Analysis(BIZ584)

      Business Analytics and Data Mining(BIZ587)

        Contact : Joo, Sunhee ( shjoo2006@business.kaist.ac.kr )

        Faculty & Research

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