Hewlett Packard Enterprise Data Science Institute

Building on his expertise in STEM education and the success of existing programs such as Data Analytics in Student Hands (DASH) and Project Engagement Encouraging Rising Students (PEERS), Andrew Kapral aims to use project-based learning experiences to develop a pipeline of students prepared to pursue post-secondary education and career pathways in data science. Using responsive engagement as a focal point, the Engaged Data Science initiative puts the needs of communities as its core focus and brings together a variety partners including local community leaders, UH students and faculty, K-12 schools and the business community to find innovative ways to use data science to improve collective outcomes.

Jerry Ebalunode, Ph.D., has over 20 years of experience in high-performance computing. He earned a Ph.D. in Biochemistry from UH in 2005, focusing on computational simulations for drug design, and completed a postdoctoral fellowship at the BRITE Institute, where he developed computational tools for drug discovery. His expertise includes scientific computing, bioinformatics and data analytics.

Data Exploring and Analyzing, Data Preprocessing and Analysis, Data Mining, Data Visualization, Machine Learning applied to healthcare data sets, Deep learning and Neural Networks applied to Face recognition, Statistics, Sentiment Analysis, Computer Vision- Object detection, Artificial Intelligence.

Claudia Neuhauser is the Vice President/Vice Chancellor for Research at the University of Houston. Prior to coming to the University of Houston, Claudia served as Associate Vice President for Research and Director of Research Computing at the University of Minnesota. In her capacity as Director of Research Computing she directed the University of Minnesota Informatics Institute (UMII), the Minnesota Supercomputing Institute (MSI), and U Spatial.

Computational mechanics and materials science.

Computer architecture; Energy-efficient computing; High-performance computing; Hardware reliability and variability; Mobile computing; Heterogeneous computing; Emerging technologies; General-purpose computing on graphics processing units (GPGPUs); On-chip interconnection network.

Vedhus Hoskere's current research interests are highly interdisciplinary, at the intersection of civil engineering, computer science and robotics. His doctoral work at the University of Illinois with Billie F. Spencer Jr. focused on developing artificial intelligence, machine learning and computer vision solutions for rapid and automated civil infrastructure inspection and monitoring. For his research toward automated post-earthquake building inspections, Hoskere received the Liu Huixian Earthquake Engineering Scholarship in 2018. 

Richard Meisel’s group analyzes genomic data to understand how environmental variation and sex differences influence diversity within populations and divergence between species. They are specifically interested in the evolution of sex chromosomes and animal-bacteria interactions.

Theoretical and computational materials science, physics of nanostructures and nanomaterials, atomistic simulations, flexoelectricity, nanoscale piezoelectricity, electromechanical behavior of biological membranes, size-dependent elasticity, micromechanics of defects and inclusions, homogenization, coupling between quantum and solid mechanics, high temperature mechanical behavior of materials, energy storage.

Application Areas, Physical Sciences, Engineering, Cross-cutting Areas, Image Analysis, Scientific Computing