Link prediction in disease networks
Course project. Finding disease pairs that are similar to each other
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
[Conference - BEST PAPER AWARDS] Evaluating architectural changes to alter pathogen dynamics in a dialysis unit
Published in IEEE/ACM ASONAM, 2019
Authors: Hankyu Jang, Samuel Justice, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, and Sriram V. Pemmaraju
[Workshop] Multi-Relational Link Prediction for an Online Health Community
Published in INFORMS Workshop on Data Science, 2019
Authors: Sulyun Lee, Hankyu Jang, Kang Zhao, Michael S. Amato, and Amanda L. Graham
[Workshop] Data-driven Approach to Identifying Asymptomatic C. diff Cases
Published in ACM KDD - Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK), 2020
Authors: Hankyu Jang, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, and Sriram V. Pemmaraju
[Workshop] Link Predictions in an Online Health Community for Smoking Cessation
Published in ACM KDD - Workshop on Mining and Learning with Graphs (MLG), 2020
Authors: Sulyun Lee, Hankyu Jang, Kang Zhao, Michael S. Amato, and Amanda L. Graham
[Abstract] Using Data Collected from a Commercial Sensor System to Inform Mathematical Models of Healthcare-Associated Infections
Published in Infection Control & Hospital Epidemiology, 2020
Authors: Jiazhao Liang, Hankyu Jang, D M Hasibul Hasan, Philip Polgreen, Sriram Pemmaraju and Alberto Segre
[Conference] Modeling and Evaluation of Clustering Patient Care into Bubbles
Published in IEEE International Conference on Healthcare Informatics (ICHI), 2021
Authors: D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, and Sriram V. Pemmaraju
[Journal] COVID-19 modeling and non-pharmaceutical interventions in an outpatient dialysis unit
Published in PLoS Computational Biology, 2021
Authors: Hankyu Jang, Philip M. Polgreen, Alberto M. Segre, and Sriram V. Pemmaraju
[Conference - one of Best Ranked Papers] Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases
Published in IEEE International Conference on Data Mining (ICDM), 2021
Authors: Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju
[Journal - extended version from ICDM 21] Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases
Published in Knowledge and Information System (KAIS), 2022
Authors: Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju
[Conference] Dynamic Healthcare Embeddings for Improving Patient Care
Published in IEEE/ACM ASONAM, 2022
Authors: Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju and Bijaya Adhikari
[Conference] Detecting Sources of Healthcare Associated Infections
Published in AAAI, 2023
Authors: Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B.Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram.V. Pemmaraju
[Conference] Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications
Published in ACM CIKM, 2023
Authors: Akash, Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari.
talks
[Conference] Evaluating Architectural Changes to Alter Pathogen Dynamics in a Dialysis Unit
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.