Scholars

Current Graduate Students

Former Students - PhD

Trevor Bajkowski (PhD Computer Science, 2024): Vote-based Ensembling of Non-Uniform Features for More Explainable Data Association and Tracking

• TBD

Keli Cheng (PhD Computer Science, 2024): Advancing Space-borne Computational Vision for Rare Object Mapping

• Assistant Professor (Tenure Track) School of Computer Science and Informatics, Northwest Missouri State University

Pallavi Gupta (PhD Informatics, 2024): Applications of Machine Learning for Personalized Healthcare of Older Adults Leveraging In-home Sensors

• TBD

Butros Dahu (PhD Informatics, 2024): Exploration of Geospatial AI using Remote Sensing to Discover Climate, Environment, and Athropogenic Features Related to Population Health

• TBD

Jim Ries (PhD Computer Science, 2023): A client-server architecture for modern times.

• Associate Teaching Professor, University of Missouri

Alex Hurt (PhD Computer Science, 2022): Increasing Compulsory Shape Bias in Deep Neural Networks with Differential Morphology for Classification and Detection of RSI

• Assistant Research Professor, University of Missouri

Alex Yang (PhD Computer Science, 2021): Deep Heterogeneous Superpixel Neural Networks for Image Analysis and Feature Extraction

• Senior Software Engineer, Nvidia - Computer Vision Group, CuDNN

Rasha Gargees (PhD Computer Science, 2020): Multi-stage Cloud Framework Based on Agents for Dynamic, Scalable, and Secure Distributed Computing

• Awarded prestigious MU Preparing Future Faculty Post-Doctoral Fellowship

Former Students - MS

Chris Scully (MS, Computer Science, 2024): Towards Enabling Distributed Situational Awareness for Autonomous System Collaboration

Ryan Christopher (MS, Computer Science, 2024): Deep Learning Model Comparison on Overhead Remote Sensing Data

Jamal Saied Walker (MS, Computer Science, 2023): A Hierarchical Time-Indexed Database for Multi-Modal Derived Sensor Data using GPU-Accelerated PostgreSQL

Tim Gaines (MS, Computer Science, 2023): Towards Automated and Explorative Characterization of Nano-Energetic Material Response to Directed Energy

Preston Mattox (MS, Data Science & Analytics, 2022): An Examination of the Impacts of Sex Offender Residence Restrictions in St. Louis, MO

Christian Becker (MS, Data Science & Analytics, 2022): Convolutional Neural Networks for Detection of Illicit Airstrips Using Satellite Imagery

Pham Trang (MS, Data Science and Analytics, 2021): Regional Food Consumption and Life Expectancy Analysis

Wenhao Li (MS, Computer Science, 2020): End-to-End Optimization of OpenCL Code

Sue Brownawell (MS, Computer Science, 2020): STEM Activity-based Learning Analytics

Yulin Cao (MS, Computer Science, 2020): Multi-resolution Satellite Image Information Mining with Deep Learning and Classical Image Processing

Tyler Nivin (MS, Computer Science, 2018): Machine Learning, Database Systems

Matthew England (MS, Computer Science 2016): GPU / HPC, Machine Learning

Xinwei Du (MS, Computer Science, 2015): Spatiotemporal Data Analysis and Prediction for Tornado Strength