Scholars
Current Graduate Students
Former Students - PhD
Computer Science
Trevor Bajkowski – PhD Computer Science
Chris Scully - MS Computer Science
Anes Ouadou – PhD Computer Science
Mariam Alshehri – PhD Computer Science
David Huangal – PhD Computer Science
Carlos Martinez-Villar – PhD Computer Science
Bhanu Prakash Vangala - PhD Computer Science
Informatics
Solaiman Khan – PhD Informatics
Sue Brownawell – PhD Informatics
Undergraduate Students
Dr. Scott continues to mentor undergraduate students as well, including four current undergraduates.
Formerly mentored students have gone on to success in technology sector jobs, including Google, Microsoft, and Amazon, as well as various Defense (computer vision/HPC) and Finance (HPC, high-frequency trading) industries. Other students have successfully pursued entrepreneurial activities or graduate studies.
Undergraduate student researchers have included numerous Undergraduate Research Fellows, (1) McNair Scholar, and (1) Discovery Fellow.
Current Undergraduates
Ben Flink - Computer Science
Jonas Ferguson - Computer Science
Peicong Cheng - Computer Science
Connor Johnson - Computer Science
Former Undergraduates
Grant Richardet - Information Technology
Simon Schroeder - Computer Science
Nathan Kientzy - Electrical Engineering
Eva Li - Information Technology
Susie (Xin) Shu - Journalism/Statistics
Operations Intern at NVIDIA
Jonathon Zars - Computer Science
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
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
Ryan Christopher (MS, Computer Science, 2023): 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