Data Science Poster Fair schedule Breakout Session When Project A Project B Project C Project D 1 11:30 am - 11:45 am “A Causal Analysis of Bipolar Disorder”Hunter Chavis-Blakely Advisor: Erich Kummerfeld “Detecting mental state using Machine Learning”Mingqian Duan Advisor: Ju Sun “Modeling COVID-19 Case Counts with Long Short-Term Memory Networks”Brandon Voigt Advisor: Tracy Flood “Exploring User Engagement in An Online Health Community”Ruyuan Wan Advisor: Lana Yarosh, Maria Gini 2 11:45 am - 12:00 pm “Federated Learning approach to crop identification from satellite data”Anubha Agrawal Advisor: Kevin Silverstein “Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management”Mourya Karan Reddy Baddam Advisor: Jaideep Srivastava “Inferring level of social connectedness from observed online/offline behavior”Ayushi Rastogi Advisor: Lana Yarosh “Deep Learning Approaches for Breast Cancer Related Concepts Extraction from Electronic Health Records”Sicheng Zhou Advisor: Rui Zhang 3 12:00 pm - 12:15 pm “Using electronic health records to detect safety of dietary supplements among patients with Alzheimer’s disease”Jiyang Chen Advisor: Rui Zhang “Machine Learning in Stock Trading”Yuanyuan Qiu Advisor: Paul Schrater “Deep Learning for Morphology Detection of Self-Assembly in Atomistic Simulation”Zhengyuan Shen Advisor: Ilja Siepmann “Prediction Model for Mortality in Patients with Rib Fractures Based on ICU Timeline”Qixian Zhao Advisor: Christopher Tignanelli 4 12:15 pm - 12:30 pm “Implementing GAN-based method for real-valued medical time series data generation”Anushree Choudhary Advisor: Jaideep Srivastava “Fraud Detection Using Machine Learning Methods”Sheng Huang Advisor: Daniel Boley “Anomaly detection in Ship Trajectories”Divya Shrinivasa Nairy Advisor: Shashi Shekhar “Deep Neural Network Diagnosis of Autism Spectrum Disorder Through Visual Image Eye Movements”Connor Theisen Advisor: Catherine Qi Zhao 5 12:30 pm - 12:45 pm “Fake Chest Radiograph Generation”Rutvij Umesh Bora Advisor: Daniel Boley “Hazard Detection for the Visually Impaired”Jason Moericke Advisor: Paul Schrater “Leveraging Machine Learning to Predict Inherited Variants Associated with Chronic Lymphocytic Leukemia”Raphael Mwangi Advisor: Cavan Reilly “Using GAN to Detect Abnormalities in X-ray”Iris Yan Advisor: Daniel Boley
Data Science Poster Fair schedule Breakout Session When Project A Project B Project C Project D 1 11:30 am - 11:45 am “A Causal Analysis of Bipolar Disorder”Hunter Chavis-Blakely Advisor: Erich Kummerfeld “Detecting mental state using Machine Learning”Mingqian Duan Advisor: Ju Sun “Modeling COVID-19 Case Counts with Long Short-Term Memory Networks”Brandon Voigt Advisor: Tracy Flood “Exploring User Engagement in An Online Health Community”Ruyuan Wan Advisor: Lana Yarosh, Maria Gini 2 11:45 am - 12:00 pm “Federated Learning approach to crop identification from satellite data”Anubha Agrawal Advisor: Kevin Silverstein “Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management”Mourya Karan Reddy Baddam Advisor: Jaideep Srivastava “Inferring level of social connectedness from observed online/offline behavior”Ayushi Rastogi Advisor: Lana Yarosh “Deep Learning Approaches for Breast Cancer Related Concepts Extraction from Electronic Health Records”Sicheng Zhou Advisor: Rui Zhang 3 12:00 pm - 12:15 pm “Using electronic health records to detect safety of dietary supplements among patients with Alzheimer’s disease”Jiyang Chen Advisor: Rui Zhang “Machine Learning in Stock Trading”Yuanyuan Qiu Advisor: Paul Schrater “Deep Learning for Morphology Detection of Self-Assembly in Atomistic Simulation”Zhengyuan Shen Advisor: Ilja Siepmann “Prediction Model for Mortality in Patients with Rib Fractures Based on ICU Timeline”Qixian Zhao Advisor: Christopher Tignanelli 4 12:15 pm - 12:30 pm “Implementing GAN-based method for real-valued medical time series data generation”Anushree Choudhary Advisor: Jaideep Srivastava “Fraud Detection Using Machine Learning Methods”Sheng Huang Advisor: Daniel Boley “Anomaly detection in Ship Trajectories”Divya Shrinivasa Nairy Advisor: Shashi Shekhar “Deep Neural Network Diagnosis of Autism Spectrum Disorder Through Visual Image Eye Movements”Connor Theisen Advisor: Catherine Qi Zhao 5 12:30 pm - 12:45 pm “Fake Chest Radiograph Generation”Rutvij Umesh Bora Advisor: Daniel Boley “Hazard Detection for the Visually Impaired”Jason Moericke Advisor: Paul Schrater “Leveraging Machine Learning to Predict Inherited Variants Associated with Chronic Lymphocytic Leukemia”Raphael Mwangi Advisor: Cavan Reilly “Using GAN to Detect Abnormalities in X-ray”Iris Yan Advisor: Daniel Boley