overview

• Dr Mégret expertise is in computer vision and machine learning. During his tenures at Bordeaux Institute of Technology since 2004 then at UPR since 2014, he has contributed to multiple national and international collaborative research projects with both academia and industrial partners. Applications include remote sensing and analysis of videos from wearable cameras. His recent projects focus on the application of deep learning to experimental sciences through collaborations with researchers from Material Sciences, Environmental Science and Biology. He is currently the PI of USDA project DeepPollinator and NSF project CyIndiBee, developing new tools for automated video monitoring and phenotype analysis of honeybees and wild pollinators. Dr Mégret is also passionate about training the next generation of computer scientists and hope to grow the capacity for innovation in artificial intelligence and machine learning in Puerto Rico