In August 2020, Biscayne Bay, FL, experienced unprecedented levels of low oxygen, resulting in a massive fish kill and one week later, gray-green algae along the coast. Alongside my colleagues and students, we are deploying our autonomous underwater vehicles to collect water data and investigate the causes of this environmental disaster.
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My research interests intersect the areas of Aquatic Robots, Persistent Ocean Monitoring, Artificial Intelligence, and STEM Education.
Key problems I have addressed so far include: localization and navigation of underwater robots in GPS-denied environments, analysis of the spatio-temporal dynamics of the ocean, data analysis of water profiles, persistent monitoring of the ocean using under-actuated robots, and artificial intelligence models applied to agriculture and welfare of poultry.
Recently, I have studied the integration of active learning into Software Engineering and Programming synchronous remote learning environments and how to effectively implement and assess robotics educational platforms in the K-12 curriculum.
So far I have published 16 articles and I have 87 citations.
Development of a Web Application that creates missions for underwater vehicles to collect water data and provides customizable visualization for users.
Design of Robotics curriculum to be implemented in schools in the United States where robotic platforms are used to strengthen age-relevant math concepts, increasing math problem-solving skills.
The Water Wand allows for inexpensive monitoring of flooding in vulnerable areas such as Miami, where there is an increasing need for widespread data on sea level rise. It can be widely distributed to the public to engage with solutions-oriented science, while collecting valuable information that can contribute to higher-resolution maps of flooding occurrence and vulnerability.
