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Parallel Sessions

The parallel sessions addressed three topics:

Big Data & Discovery (Session Chair: Dr. GQ Zhang)

Tell me Why? Tell me More! Explaining Predictions, Iterated Learning Bias, and Counter-Polarization in Big Data Discovery Models
Accurate and Scalable Query Over Large RNA‐seq Experiments
Correct Model Selection in Multiple Regression Analyses of Big Data

Big Computing/HPC (Session Chair: Dr. Peter Kekenes-Huskey)

Integrative Computational Modeling for Developing Means to Manipulate Biological Cells and for Solving Complex Engineering Problems
High-Fidelity Modeling and Simulation of Multiphase Flows
Analysis of Complex Vertebrate Genomes: Computational Challenges and Solutions

Future Technologies (Session Chair: Dr. Cody Bumgardner)

Schedule
2017
Tuesday, October 17th
10:30 AM	Accurate and Scalable Query Over Large RNA‐seq Experiments Jinze Liu, University of Kentucky 10:30 AM
10:30 AM	Additional Data via Autonomous Systems to Supplement Traditional Sparse Sources for Weather Forecasting and Atmospheric Science Suzanne Weaver Smith, University of Kentucky 10:30 AM
10:30 AM	Analysis of Complex Vertebrate Genomes: Computational Challenges and Solutions Jeramiah J. Smith, University of Kentucky 10:30 AM
10:30 AM	Cloud‐Based Text Analytics Harvesting, Cleaning and Analyzing Corporate Earnings Conference Calls Michael Chuancai Zhang, University of Kentucky Vikram Gazula, University of Kentucky Dan Stone, University of Kentucky Hong Xie, University of Kentucky 10:30 AM
10:30 AM	Correct Model Selection in Multiple Regression Analyses of Big Data Katherine L. Thompson, University of Kentucky 10:30 AM
10:30 AM	High-Fidelity Modeling and Simulation of Multiphase Flows Prashant Khare, University of Cincinnat 10:30 AM
10:30 AM	Integrative Computational Modeling for Developing Means to Manipulate Biological Cells and for Solving Complex Engineering Problems Yu Zhao, University of Kentucky Guigen Zhang, University of Kentucky 10:30 AM
10:30 AM	Resource Efficient Design of Quantum Circuits for Quantum Algorithms Himanshu Thapliyal, University of Kentucky 10:30 AM
10:30 AM	Tell me Why? Tell me More! Explaining Predictions, Iterated Learning Bias, and Counter-Polarization in Big Data Discovery Models Olfa Nasraoui, University of Louisville 10:30 AM