Jeovane Honório Alves holds a Ph.D. in Computer Science from the Federal University of Parana (UFPR). He is passionate about leveraging his research and professional interests in artificial intelligence (AI), computer vision (CV), machine learning (ML), deep learning (DL), neural architecture search (NAS), natural language processing (NLP), evolutionary computation, and image processing to drive innovation and improve business outcomes.
His doctoral research was focused on ML, CV, and NAS applied to natural and medical images, including CIFAR, ImageNet, and CHAOS challenge datasets. He has extensive experience working with several frameworks, including PyTorch, Numpy, Scikit-learn, Pandas, Keras, SciKit-Learn, ITK and VTK, Detectron, MMDetection, and OpenCV, to solve various tasks such as image classification, object detection, semantic and instance segmentation.
He is excited to bring his expertise and problem-solving skills to collaborate with talented teams and create innovative solutions that can transform industries and improve people’s lives.
Currently living in Brazil.
Download my resumé.
Download my PhD thesis.
Download my MSc dissertation.
PhD in Computer Science, 2021
Federal University of Parana (UFPR)
MSc in Electrical Engineering, 2016
Federal University of Parana (UFPR)
Technologist in Systems Analysis and Development, 2013
Federal University of Parana (UFPR)