Hankyu Jang, Samuel Justice, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, and Sriram V. Pemmaraju. 2019. "Evaluating architectural changes to alter pathogen dynamics in a dialysis unit" In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019).
Sulyun Lee, Hankyu Jang, Kang Zhao, Michael S. Amato, and Amanda L. Graham. 2019. "Multi-Relational Link Prediction for an Online Health Community" INFORMS Workshop on Data Science, Seattle, WA, USA
Hankyu Jang, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, and Sriram V. Pemmaraju. 2020. "Data-driven Approach to Identifying Asymptomatic C. diff Cases" In Proceedings of the ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK)
Sulyun Lee, Hankyu Jang, Kang Zhao, Michael S. Amato, and Amanda L. Graham. 2020. "Link Predictions in an Online Health Community for Smoking Cessation" In Proceedings of the 15th International Workshop on Mining and Learning with Graphs (MLG)
Jiazhao Liang, Hankyu Jang, D M Hasibul Hasan, Philip Polgreen, Sriram Pemmaraju and Alberto Segre. 2020. "Using Data Collected from a Commercial Sensor System to Inform Mathematical Models of Healthcare-Associated Infections" Infection Control & Hospital Epidemiology (ICHE)
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, and Sriram V. Pemmaraju. 2021. "Modeling and Evaluation of Clustering Patient Care into Bubbles" In Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI)
Hankyu Jang, Philip M. Polgreen, Alberto M. Segre, Sriram V. Pemmaraju. 2021. "COVID-19 modeling and non-pharmaceutical interventions in an outpatient dialysis unit" PLoS Computational Biology
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju. 2021. "Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases" IEEE ICDM
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju. 2022. "Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases" KAIS
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju and Bijaya Adhikari. "Dynamic Healthcare Embeddings for Improving Patient Care" In Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022).
Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B.Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram.V. Pemmaraju "Detecting Sources of Healthcare Associated Infections" In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023).
Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari. "Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications" In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023)..
Conference at International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics (HI-BI-BI). ASONAM, Vancouver, BC, Canada
Workshop at INFORMS Workshop on Data Science, Seattle, WA
Workshop at ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK), Virtual
Invited Talk at School of Global Entrepreneurship and Information, Communication Technology (ICT), Handong Global University, Virtual
Invited Talk at Data Mining in Networks session at INFORMS 2021 Annual Meeting, Virtually and in Anaheim, CA
Conference at IEEE ICDM 2021, Virtually and in Auckland, New Zealand
Symposium at Uiowa Graduate Research Symposium 2022, in Iowa City, IA, USA
Conference at IEEE/ACM ASONAM 2022, in Istanbul, Turkey
Conference at AAAI 2023, in Washington D.C.
Invited Talk at 2024 Winter Handong Global University Bio+AI Workshop, Virtual