Gisele Miranda

Gisele Miranda Bioimage analyst

bioimage analysis, machine learning

Gisele is a bioimage analyst and a researcher at KTH Royal Institute of Technology in Sweden. She is also an active member of the BioImage Informatics Facility at KTH, and the Live Cell Imaging Facility at the Karolinska Institute. Her role is to provide support to researchers in developing computational methods for analyzing microscopic images in order to understand biological processes. In 2019, she received a double PhD degree in Computer Science & Applied Mathematics from the University of São Paulo, Brazil, and in Applied Biological Sciences from Ghent University, Belgium. She has a keen interest in the intersection of computer science and biology, and works on multidisciplinary research projects in the biomedical field involving computer vision, machine learning, and data analysis.

Selected publications

Bäcklund, F. G., Schmuck, B., Miranda, G. H. B., Greco, G., Pugno, N. M., Rydén, J., and Rising, A. (2022) An Image-Analysis-Based Method for the Prediction of Recombinant Protein Fiber Tensile Strength. Materials, 15, 708.

Borzooei, S., Miranda, G. H. B., Abolfathi, S., Scibilia, G., Meucci, L., and Zanetti, M. C. (2020) Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions. Water Science and Technology, 81, 1541–1551.

Miranda, G. H. B., Baetens, J. M., Bossuyt, N., Bruno, O. M., and De Baets, B. (2019) Real-time prediction of influenza outbreaks in Belgium. Epidemics, 28, 100341.

Miranda, G. H. B., Machicao, J., and Bruno, O. M. (2018) An optimized shape descriptor based on structural properties of networks. Digital Signal Processing, 82, 216–229.

Machicao, J., Corrêa Jr, E. A., Miranda, G. H. B., Amancio, D. R., and Bruno, O. M. (2018) Authorship attribution based on life-like network automata. PloS one, 13, e0193703.

Miranda, G. H. B., Machicao, J., and Bruno, O. M. (2016) Exploring spatio-temporal dynamics of cellular automata for pattern recognition in networks. Scientific Reports, 6, 1–15.