2023 IEEE ICDH Student Grants & Awards 2023 IEEE ICDH Student Grants & Awards Funding for the ICDH student competition has been provided through the National Science Foundation and the Technical Committee on Services Computing (TCSVC). ICDH hosted a student research competition on July 5. Students provided short video presentations to be shown along with their in-person presentation following Dr. Wendy Nilsen's keynote. Participating students were awarded conference registration and travel funding to attend the conference in-person. Three prizes have been awarded to the top 3 presenters ($1,000, $600, and $400). 1st Prize "Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning" by Aritra Ray, Duke University, USA 2nd Prize "Self-Sovereign Identity in Semi-Permissioned Blockchain Networks Leveraging Ethereum and Hyperledger Fabric" by Niranjan Sahi, Vanderbilt University, USA 3rd Prize "Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models" by Khairul Islam, University of Virginia, USA Runners Up S. Comai, A. Masciadri, F. Monasterio, F. Motetta, G. Pozzi and F. Salice, CardiaPPG- A Portable, Low-Cost Photopletismograph for the Evaluation of the Cardiovascular Age N. Chakraborty, S. Iqbal and M. Zulkernine, Risk Assessment in Smart Ageing Care Systems: An Elderly-Centered Perspective Date/Time Session Presentation Wednesday 7/514:00 - 15:10Location: Haymarket Student PresentationsSponsored by the NSFSession Chair: Sheikh Iqbal Ahamed, Marquette University Towards Privacy-Preserving Depression Detection: Experiments on Passive Sensor Signal Data Michael Xu A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering Techniques Parama Sridevi Self-distilled Hierarchical Mixture of Modality Experts Transformer are Efficient Mice Sleep Learners Jingyuan Chen Self-Sovereign Identity in Semi-Permissioned Blockchain Networks Leveraging Ethereum and Hyperledger Fabric Niranjan Sahi Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models Md Khairul Islam Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning Aritra Ray Precision Dosing in Critical Care: Application of Machine Learning in Fluid Therapy Elham Estiri A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-modal Passive Sensing Shayan Fazeli Policy Integrated Blockchain to Automate HIPAA Part 2 Compliance James Clavin HCM-Dynamic-Echo: A Framework for Detecting Hypertrophic Cardiomyopathy (HCM) in Echocardiograms Abdulsalam Almadani