Press
Selected media coverage and features of my research on deployable AI systems for mosquito surveillance, smart trapping, and citizen-science–powered detection.
Featured
Article • USF News (Jul 28, 2025)
How a USF student's personal battle with dengue helped develop mosquito-fighting AI
USF News story highlighting the real-world motivation, technical direction, and public-health goals of my research.
2025
Press release • EurekAlert (Oct 28, 2025)
USF study: AI and citizen science reveal potential first detection of invasive malaria mosquito in Madagascar
Coverage of our work showing how AI + citizen-science imagery can accelerate detection of invasive malaria vectors.
Article • Phys.org (Oct 28, 2025)
AI and citizen science reveal potential first detection of invasive malaria mosquito in Madagascar
An accessible overview of how the pipeline uses smartphone imagery and trained models to support early-warning surveillance.
Media pickup • Mirage News (Oct 29, 2025)
AI, Citizen Science Detect Invasive Malaria Mosquito
International pickup emphasizing the public-health relevance of rapid, scalable, image-based vector surveillance.
Media pickup • Bioengineer.org (Oct 28, 2025)
AI and Citizen Science Team Up to Spot Potential First Invasive Malaria Mosquito in Madagascar
Summary coverage highlighting the “citizen science + AI” workflow and its role in scaling detection globally.
2024
Local news • Spectrum Bay News 9 (Jun 18, 2024)
USF researchers develop mosquito “smart trap” to help fight malaria
Local coverage highlighting the motivation, concept, and public-health direction of the smart mosquito trap effort.
Article • USF News (Jun 6, 2024)
USF using AI to help combat malaria in Africa
USF News overview of AI-driven mosquito surveillance and the broader research direction supporting malaria monitoring.
Local news • Tampa Bay 28
USF researchers use AI to track mosquito-borne illness
Local coverage of AI-enabled vector monitoring and the value of faster, automated identification for public-health response.