Dr. InChan Hwang

Ph.D. Data Scientist with expertise in machine learning, big data analytics, and predictive modeling across credit risk, financial forecasting, and medical image data analysis. Delivered impactful insights through advanced statistical and AI methods applied to diverse datasets, leading to improved decision-making and reduced operational risk. Authored over 10 peer-reviewed papers in AI and applied data science.

• Honorable Mention for Poster Presentation, SIIMs 2023, Austin, TX, 01/23
• Outstanding Student Award, Ph.D in Data Science & Analytics, KSU, 01/24

Woo M, Zhang L, Brown-Mulry B, Inchan H, Gichoya J, Gastounioti A, Banerjee I, Seyyed-Kalantari L, Trivedi H., Subgroup evaluation to understand performance gaps in deep learning-based classification of regions of interest on mammography, PLOS Digital Health, 01/25, 

InChan H, Hari T, Beatrice B-M, Linglin Z, Vineela N, Aimilia G, Judy G, Laleh S-K, Imon B, MinJae W., Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography., Frontiers in Radiology, 01/23, 

Morgan A. B., InChan H., Sylvia B., W David Hairston, Jason S. M., EEG-based prediction of driving events from passenger cognitive state using Morlet Wavelet and Evoked Responses, Elsevier Transportation Engineering, 01/22, 

Nalla V, Pouriyeh S, Parizi RM, Sheng QZ, Trivedi H, Inchan H, Seyyed-Kalantari L, Woo M., Deep Learning For Computer-aided Abnormalities Classification in Digital Mammogram: A Data-centric Perspective., Current Problems in Diagnostic Radiology, 01/23, 

Inchan H, Brown-Mulry B, Trivedi H, Gichoya J, Seyyed-Kalantari L, Sanghoon L, MinJae W., Breast Abnormality Classification in Resource-Constrained Settings Through CUT-GAN Generated Synthetic Mammography Patches, IEEE ISCC, 01/26, 

Inchan H, Beatrice B-M, Linglin Z, Vineela N, Rena J, Judy G, Laleh S-K, Imon B, MinJae W, Hari T., Inherent Barriers to Breast Cancer Detection in Mammograms Using Deep Learning., SIIMs 2023, 01/23, 

InChan H, Minjae W., Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast Mammography., IEEE CSCI, 01/23, 

Nalla V, Pouriyeh S, Parizi RM, Inchan H, Brown-Mulry B, Zhang L, Woo, M., Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems., ISCC, 01/23

• Atlanta Interdisciplinary AI Network (AIAI), An AI based Text-Mining Approach to Understanding Christian and Islamic Cultures, Graduate Research Assistant, 01/23 - 12/24
• College of Computing and Software Engineering, Travel Support Fund for Computational Science & Computational Intelligence (CSCI'2023), Graduate Research Assistant, 01/23
• The Analytics and Data Science Organization (ADSO), Travel Support Fund for The Society for Imaging Informatics in Medicine (SIIM 2023), Graduate Research Assistant, 01/23
• Kennesaw State University (KSU), Ph.D graduate assistantship funding, Graduate Research Assistant, 01/20 - 12/24