Geospatial Optimization & Analytics Lab-
Antonio Medrano
GOAL Director
Antonio is an assistant professor of geospatial engineering in the Department of Computing Sciences at Texas A&M University–Corpus Christi (TAMUCC). He is a part of the Conrad Blucher Institute of Surveying and Science (CBI), and the GeoSpatial Computer Science (GSCS) PhD program. As the director of the Geospatial Optimization & Analytics Lab (GOAL), he helps to advise grad students on research related to location optimization, spatial logistics, high performance computing, and artificial intelligence & machine learning, with applications to drone systems, coastal environmental science, and facility location.
Mona Hajiesmaeeli
GSEN MS Student, Spring 2023 – present
Mona is studying how to accurately generate a digital elevation model (DEM) from oblique stereo non-metric camera imagery, as applied toward a beach environment. This is a key component necessary to develop a deep learning coastal inundation prediction model. Mona earned her B.S. in Surveying Engineering at Darolfonoon University in Qazvin, Iran.
Gabriel Nambila (graduated)
GSEN MS Student, Fall 2021 – Summer 2023
Gabriel studied infrastructure for smart-cities, and developed a sensor to add on to a bicycle helmet to make it a smart IoT device. His goal is to find innovative ways to integrate geospatial technology and cloud computing to city architecture to improve urban development efficiency and to provide better service to its citizens. Gabriel earned his BS in GIST from Texas A&M University–College Station.
More info: LinkedIn
Abhishek Phadke (graduated)
GSCS PhD Student, Fall 2020 – Spring 2024
Abhishek developed resilient systems that can be scaled and applied to real-world applications such as unmanned aerial vehicle swarms and electric grids, with the intent of solving current issues that plague UAV flocks during mission execution. He currently is faculty in the School of Engineering and Computer Science at Christopher Newport University (CNU).
More info: Personal website, University website
Marina Vicens Miquel (graduated)
GSCS PhD Student, Fall 2020 – Spring 2024
Marina’s research focused on using AI techniques to solve geospatial computer science problems, typically with UAV Imagery. She worked on wet/dry shoreline geo-detection by applying deep learning analysis to UAV imagery as a part of the AI2ES NSF Institute. Prior to starting her PhD, Marina earned a double major BS in Math and Computer Science, and competed on the TAMUCC NCAA Women’s Tennis team. She is currently a post-doc at the University of Oklahoma working under Dr. Amy McGovern.
More info: Website
