Ludermir Teresa Bernarda

Ludermir is a full professor of Artificial Intelligence at the Center for Informatics of the Federal University of Pernambuco. She is a pioneering researcher in machine learning, recognized for her groundbreaking contributions to neural networks. She has developed novel automated machine learning algorithms that simultaneously learn neural network weights and architectures. Her work has demonstrated the equivalence between weightless neural network models (WNNMs) and classical computing, including a Turing machine implementation within WNNMs. She has also introduced quantum neural networks and hybrid methods for time-series forecasting. Her optimization techniques have been applied to real-world problems, including gas leak detection in the oil industry, wine classification, wind power forecasting, and water quality assessment. She is a member of the Brazilian Academy of Sciences, and the Asia-Pacific Artificial Intelligence Association, and a recipient of the Brazilian National Order of Scientific Merit.