Antonio Medrano

Antonio Medrano is an Assistant Professor of Geospatial Computer Science at Texas A&M University–Corpus Christi (TAMUCC) and the director of the Geospatial Optimization & Analytics Lab (GOAL). His research focuses on location optimization, spatial logistics, high-performance computing (HPC), and artificial intelligence/machine learning (AI/ML) with applications to drone systems, coastal environmental science, and facility location modeling.

• Specializations: Geospatial Computing, GeoAI, UAV Swarms, Remote Sensing, HPC, Parallel Computing, Big Data, Spatial Optimization, Multi-Objective Optimization, GIS.
• Labs: Geospatial Optimization & Analytics Lab (GOAL).
• Students: Mona Hajiesmaeeli, Gabriel Nambila, Abhishek Phadke, Marina Vicens Miquel (all graduated).

His work emphasizes fast optimization algorithms, parallelization of network algorithms for HPC resources, and generating diverse near-optimal solutions. He is affiliated with the AI2ES NSF Institute, contributing to AI-driven coastal inundation prediction and resilient cyber-physical systems.