Keywords

1. •Geospatial Computing, GeoAI, UAV Swarms, Remote Sensing
   

2. •HPC, Parallel Computing, Big Data
   

3. •Spatial Optimization: Linear and Integer Programming, Heuristics
   

4. •Multi-Objective Optimization
   

5. •Location Modeling, GIS, and Geographical Analysis & Representation
   

6. •Python, Matlab, JavaScript, Java, Swift, C, C++, Mosel
   

7. •ArcGIS Pro, ArcGIS API for JavaScript, ArcGIS Online, QGIS
   

8. •Gurobi Optimizer, Google OR-Tools, FICO Xpress Optimization, LINDO LINGO
   

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Research Summary

I am an Assistant Professor of Geospatial Computer Science at Texas A&M University–Corpus Christi, and I’m the director of the Geospatial Optimization & Analytics Lab (GOAL), focusing on geospatial computation research.

My personal research centers on location decisions, such as point and path location problems to optimize facility utility given resource constraints. Topics include:

1. •Fast optimization algorithms and heuristics
   

2. •Multi-objective optimization
   

3. •Diverse near-optimal solutions
   

4. •Parallelization of network algorithms for use on high-performance computing resources

  Geospatial Engineer

Relevant Links

1. • Texas A&M University–Corpus Christi
   

2. • Conrad Blucher Institute for Surveying and Science
   

3. • Geospatial Computer Science, PhD
   

4. • Geospatial Systems Engineering, MS
   

5. • Geographical Information Science, BS
   

6. • Department of Computer Science
   

7. • Google Scholar Profile
   

8. • GitHub Page
   

9. • AI2ES Website