Youngdeok Hwang

Education

Ph.D., Statistics, University of Wisconsin-Madison Madison WI

M.S., Statistics, University of Wisconsin-Madison Madison WI

B.A., Statistics and Economics, Yonsei University Seoul Korea

Journal Articles

Jung, M., Hwang, Y., & Cho, D. (2024). The Impact of Fair AI's Recommendations on Human Decisions in a Hiring Process. Journal of Management Information Systems, In Progress.

(2024). Performance of Activities of Daily Living in Typically Developing Children in Korea: Normative Value of K-MBI. Annals of Rehabilitation Medicine, 48(4). 281--288.

(2024). Aim Better with Machine Learning: Enhancing Effectiveness of Government Credit Programs for SMEs. Journal of Money, Credit and Banking, In Progress.

Hwang, Y., Kim, H., Chang, W., MacEachern, S., & Hong, C. (2024). Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biochemical Experiments. Technometrics,

Sung, C., Haaland, B., Hwang, Y., & Lu, S. (2023). A Clustered Gaussian Process Model for Computer Experiments. Statistica Sinica, 33. 893-918.

Hwang, Y., Kim, J., & Moon, G. (2023). Small Area Estimation of Healthcare Accessibility Using Synthetic Data from Automated Map Queries. INFORMS Journal on Data Science, In Progress.

Hwang, Y., Kim, J., Zhang, S., & Kuepie, M. (2023). Small Area Estimation with Unit Level Model under Census Data Scarsity. Annals of Applied Statistics, In Progress.

Tuakli-Wosornu, Y., Hwang, Y., Pandiyan, U., Stratton, C., Hajjioui, A., Muñoz-Velasco, L. P., Fourtassi, M., Cooper, R., Balikuddembe, J., Peterson, M., Krassioukov, A., Palomba, A., Tripathi, D. R., & Hong, B. (2022). Perceived Physical and Mental Health and Healthy Eating Habits During the COVID-19 Pandemic in Korea. Journal of Korean Medical Science, 37. e118.

Sim, J., Cho, D., Hwang, Y., & Telang, R. (2022). Virus Shook the Streaming Star: Estimating the COVID-19 Impact on Music Consumption. Marketing Science, 41(1). 19-32.

Choi, W., Choi, S., Kwon, J., Park, S., Jang, E., Heo, J., Hwang, Y., Kim, B., Moon, J., Lee, H., Ahn, H., & Hong, J. (2021). Reverse Polyelectrolyte Effect for In Vivo Antifouling. ACS Nano, 15(4). 6811-6828.

Yang, S., Kim, J., & Hwang, Y. (2021). Integration of survey data and big observational data for finite population inference using mass imputation. Survey Methodology, 47(1). 29-58.

Choi, D., Hwang, J., Bang, J., Han, S., Kim, T., Oh, Y., Hwang, Y., Choi, J., & Hong, J. (2021). In vitro toxicity from a physical perspective of polyethylene microplastics based on statistical curvature change analysis. Science of the Total Environment,

Xu, X., Hwang, Y., Kim, T., Wang, F., Wang, X., & Chien, P. (2020). Level-expansion: A statistical sequential design methodology with application to nanomaterial synthesis. Journal of Quality Technology, 52(1). 97-107.

Sung, W., Kim, W., Hwang, Y., Kim, J., Lim, S., & Hong, B. (2020). Body composition of school-aged children with disabilities. Pediatrics International, 62(8). 962-969.

Choi, D., Bang, J., Kim, T., Oh, Y., Hwang, Y., & Hong, J. (2020). In vitro chemical and physical toxicities of polystyrene microfragments in human-derived cells. Journal of Hazardous Materials, 400. 123308.

Han, S., Bang, J., Choi, D., Kim, T., Oh, Y., Hwang, Y., Choi, J., & Hong, J. (2020). Surface Pattern Analysis of Microplastics and Their Impact on Human-Derived Cells. ACS Applied Polymer Materials,

Zhang, Q., & Hwang, Y. (2020). Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space. Technometrics, 62. 486-498.

Kim, S., Hwang, Y., Seo, H., & Kim, B. (2020). Ground Motion Amplification Models for Japan using Machine Learning Techniques. Soil Dynamics and Earthquake Engineering, 132. 106095.

Choi, I., Lim, S., Hwang, Y., Lee, D., Lee, W., Lee, K., Kim, M., & Jeon, D. (2020). Soluble neprilysin and long-term clinical outcomes in patients with coronary artery disease undergoing percutaneous coronary intervention: a retrospective cohort study. BMC Cardiovascular Disorders, 20(1). 1-10.

Yeo, K., Hwang, Y., Liu, X., & Kalagnanam, J. (2019). Development of hp-inverse model by using generalized polynomial chaos. Computer Methods in Applied Mechanics and Engineering, 347. 1--20.

Hwang, Y., Kim, H. J., Chang, W., Yeo, K., & Kim, Y. (2019). Bayesian pollution source identification via an inverse physics model. Computational Statistics & Data Analysis, 134. 76--92.

Sun, F., Gramacy, R. B., Haaland, B., Lu, S., & Hwang, Y. (2019). Synthesizing simulation and field data of solar irradiance. Statistical Analysis and Data Mining: The ASA Data Science Journal, 12(4). 311--324.

Hwang, Y., Barut, E., & Yeo, K. (2018). Statistical-Physical Estimation of Pollution Emission. Statistica Sinica, 28. 921--940.

Hwang, Y., Lu, S., & Kim, J. (2018). Bottom-up Estimation and Top-down Prediction: Solar Energy Prediction Combining Information from Multiple Sources. Annals of Applied Statistics, 12(4). 2096--2120.

Cho, D., Hwang, Y., & Park, J. (2018). More buzz, more vibes: Impact of social media on concert distribution. Journal of Economic Behavior & Organization, 157. 103--113.

Hwang, Y., Wright, S., & Hanlon, B. M. (2017). Estimation and testing problems in auditory neuroscience via clustering. Biometrics, 73(3). 1010--1017.

Hwang, Y., He, X., & Qian, P. Z. (2016). Sliced orthogonal array based latin hypercube designs. Technometrics, 58(1). 50--61.

Chae, Y. T., Horesh, R., Hwang, Y., & Lee, Y. M. (2016). Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings. Energy and Buildings, 111. 184--194.

Liu, X., Yeo, K., Hwang, Y., Singh, J., & Kalagnanam, J. (2016). A Statistical Modeling Approach for Air Quality Data Based on Physical Dispersion Processes and Its Application to Ozone Modeling. Annals of Applied Statistics, 10(2). 756--785.

Wright, S., Wallace, E., Hwang, Y., & Maganti, R. (2016). Seizure phenotypes, periodicity, and sleep--wake pattern of seizures in Kcna-1 null mice. Epilepsy & Behavior, 55. 24--29.

Jiang, H., Schoegendorfer, A., Hwang, Y., & Amemiya, Y. (2015). A Practical Approach to Spatio-Temporal Analysis. Statistica Sinica, 25. 369--384.

Wright, S., Hwang, Y., & Oertel, D. (2014). Synaptic transmission between end bulbs of Held and bushy cells in the cochlear nucleus of mice with a mutation in Otoferlin. Journal of Neurophysiology, 112(12). 3173--3188.

Qian, P. Z., Ai, M., Hwang, Y., & Su, H. (2014). Asymmetric nested lattice samples. Technometrics, 56(1). 46--54.

Hong, B. Y., Ko, Y. J., Kim, J. S., Ok, E. J., Hwang, Y., & Kim, H. W. (2013). Sternocleidomastoid ultrasonography data for muscular torticollis in infants. Muscle & nerve, 48(1). 100--104.

Chung, H., Kong, E. J., Edwards, J., Weismer, G., Fourakis, M., & Hwang, Y. (2012). Cross-linguistic studies of children’s and adults’ vowel spaces. The Journal of the Acoustical Society of America, 131(1).

Wang, F., Hwang, Y., Qian, P. Z., & Wang, X. (2010). A statistics-guided approach to precise characterization of nanowire morphology. ACS Nano, 4(2). 855--862.

Almomani, A., Hwang, Y., Chang, W., & Kim, H. Bayesian pseudo likelihood inference for imputation and data synthesis under complex sampling. Statistica Sinica, In Progress.

Lee, J., Kim, H., Chang, W., Hong, B., & Hwang, Y. Bayesian Estimation of Physical Activity from Wearable Sensor Measurements. Biometrics, In Progress.

Chang, W., Hwang, Y., & Kim, H. Physics-Driven Dynamic Interpolation with Application to Pollution Satellite Images. Technometrics,

Liu, X., Yeo, K., Klein, L., Hwang, Y., Phan, D., & Liu, X. Optimal Sensor Placement for Linear Inverse Problems with Nonnegativity Constraints. IISE Transactions, In Progress.

Patents and Intellectual Properties

Hwang, Y., Kalagnanam, J. R., Liu, X., & Yeo, K. (2020). Detection algorithms for distributed emission sources of abnormal events. Regular. United States.

Hamann, H. F., Hwang, Y., Klein, L., Lenchner, J., Lu, S., Marianno, F. J., Tesauro, G. J., & Van Kessel, T. G. (2020). Parameter-dependent model-blending with multi-expert based machine learning and proxy sites. Regular. United States.

Hwang, Y., Lee, Y., & Zhu, Y. (2017). Building energy consumption forecasting procedure using ambient temperature, enthalpy, bias corrected weather forecast and outlier corrected sensor data. Regular. United States.

Presentations

Hwang, Y. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. ASA/IMS Spring Research Conference on Statistics in Industry and Technology 2023. Banff, Alberta Canada: American Statistical Association.

Hwang, Y. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. EcoSta 2022. Kyoto, Japan

Hwang, Y. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. Department of Biostatistics Louisiana State University colloquium.

Hwang, Y. (2021, October 31). Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. Department Colloquium. online: Illinois Institute of Technology.

Hwang, Y. (2021, April 30). Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space. Department Colloquium. Online: University of Maryland-Baltimore County (UMBC).

Hwang, Y., Chang, W., & Kim, H. (2020, August 31). Physics Driven Dynamic Imputation with Application to Pollution Satellite Images. Joint Statistical Meeting 2020. Online: American Statistical Association.

Hwang, Y. (2020, February 7). Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space. Department Colloquium. Cincinnati, OH: University of Cincinnati.

Hwang, Y. (2019, May 19). Estimation of healthcare accessibility using an online experiment. 5th International Conference on Design of Experiments (ICODOE 2019). Memphis, TN: NSF.

Hwang, Y. (2019, August 19). A simple approach for complex data using spline-based multilevel model. ISI World Statistics Congress. Kuala Lumpur, Malaysia: International Statistical Institute.

Hwang, Y. (2019, June 26). Estimation of Healthcare Accessibility using an Online Experiment. The fifth international conference on the interface between statistics and engineering. Seoul, Korea: Hanyang University, City Univ of Hongkong and Georgia Tech.

Hwang, Y. (2018, November 7). Modeling and Forecast of Noisy Nonlinear Dynamics. INFORMS 2018. Phoenix, AZ: INFORMS.

Hwang, Y. (2018, August 1). Identification of Management Zone Using a Spatial Clustering Time-Varying Lattice Models. Joint Statistical Meeting 2018. Vancouver, BC, Canada: American Statistical Association.

Department

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Professional