Dr. Rosane Minghim

Rosane Minghim is a lecturer at the School of Computer Science and Information Technology, UCC. Before that she was an Associate Professor at the University of São Paulo, Brazil, where she was involved in teaching and research for over 30 years. Her has a BSc in Computer Science (University of São Paulo), an MSc in Electrical Engineering (University of Campinas), a PhD in Computer Studies (University of East Anglia – UK) and continues to collaborate with researchers in Computing and Application areas in Brazil, Peru, USA, Canada and Europe, where she visits frequently.  She is an adjunct professor at University of São Paulo and Dalhousie University, Canada.

Her main field of research is Visual Analytics, which comprises visual techniques for data analysis and for support in building and understanding classification models. Her projects involve the subjects of  Visualization and Artificial Intelligence as well as applications of data analysis, such as document, images, soundscape ecology for environment monitoring, systems biology, medical records, and others.

Current PhD project proposal:

Novel approaches for AI and visualization of soundscape ecology data for environment monitoring.

Monitoring natural environments via sound, both on the surface and underwater, has been at the centre of new developments to support geographical and ecological studies, from sustainable exploration of the land and oceans to understanding climate change. Recordings made for long periods of time can be used in tackling a very large variety of problems, such as diversity evaluation, detection of target species, verification of the impact of human activity, and monitoring the impact of climate change, to mention a few. While the application and adaptation of AI and ML techniques to these problems have been gaining momentum, much more research is necessary to define how they can be adapted to each specific problem and what the best algorithms and techniques are to draw different observations from the same data (sound recordings). Novel approaches are required on an urgent basis.

This project is meant to develop the next generation of AI models and visualization strategies to support the science of soundscape ecology for sustainable activities, such as renewable energy and ocean exploration. The student will start by studying and evaluating previously developed methods to new problems and new data, then to develop effective and fast approaches to advance AI in soundscape ecology. The candidate, while working at UCC, will interact with partners in the USA (Purdue University), Northern Ireland (Ulster University), Brazil (USP and UNESP) and at MaREI – SFI Research Centre for Energy, Climate and Marine research and Innovation, Cork.