Carlos Cardonha

About

Dr. Carlos Cardonha is an Assistant Professor at the University of Connecticut. His research areas include optimization techniques, data analysis, and algorithm development, as evidenced by his recent publications on topics such as the sensitivity of electoral processes and efficient sequencing policies in storage systems. Dr. Cardonha is actively engaged in modeling complex problems, including those related to neural networks and multi-objective optimization.