Dr. Allisson Dantas de Oliveira | Euncet Business School

Submitted by acabrera on Tue, 06/11/2024 - 11:15

Conferencias

Studies

PhD in Computer Science, UFRN, 2019.
Master's Degree in Applied Informatics, UFRPE, 2014.
MBA in Informatics Governance, 2012.
Bachelor in Information Technology Management, Guarapes University Center, 2011.

Published articles

Dantas de Oliveira, A. (2024). Development of a low-cost robotized 3D-prototype for automated optical microscopy diagnosis: An open-source system. PLOS ONE. https://doi.org/10.1371/journal.pone.0304085
Indexed in: Scopus, WoS
Dantas de Oliveira, A. (2023). iMAGING: A novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2023.1240936
Indexed in: Scopus, WoS
Dantas de Oliveira, A. (2022). Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2022.1006659
Indexed in: Scopus, WoS
Dantas de Oliveira, A. (2021). COVID-19 in South America: Why geometrical risks must be combined with statistical analysis to improve emergency response. In Latest updates on SARS-CoV-2 (Corona Virus) (pp. 123-137). ISBN: 978-93-87500-11-2
Indexed in: Google Scholar
Dantas de Oliveira, A. (2018). An automatic system for computing malaria parasite density in thin blood films. In Book Chapter. https://doi.org/10.1007/978-3-319-75193-1_23
Indexed in: Scopus
Dantas de Oliveira, A. (2017). The Malaria System MicroApp: A new, mobile device-based tool for malaria diagnosis. JMIR Research Protocols. https://doi.org/10.2196/resprot.6758
Indexed in: Scopus
Dantas de Oliveira, A. (2014). Malaria System: A new tool for automatic diagnosis of malaria in mobile devices. In Medicine 2.0 Conference.
Indexed in: Google Scholar
Dantas de Oliveira, A. (2013). A proposal for automatic diagnosis of malaria. In Proceedings of the 22nd International Conference on World Wide Web Companion (pp. 876-879). https://doi.org/10.1145/2487788.2488022
Indexed in: Scopus, WoS
Dantas de Oliveira, A. (2013). SchistoSystem - Inteligencia artificial para diagnóstico automático por imágenes. In Atas da Conferencia IADIS Ibero-Americana Computacao Aplicada.
Indexed in: Google Scholar
Dantas de Oliveira, A. (2012). SchistoSystem: Artificial intelligence for auto diagnostic imaging. In Free Themes Abstracts Epidemiology, Sanitation, Control, Elimination of Shistosomiasis.
Indexed in: Google Scholar

Research projects

Project title: Stochastic modeling of biophysical processes at different scales.
Principal Investigator: BIOCOM-SC - Computational Biology and Complex Systems
Funding Entity: Agencia Estatal De Investigación
Type of project: Projecte R+D+I Competitiu
2023-09-01 a 2026-08-31
Project title: For an improvement of Health through rapid and economic diagnosis (iH-red). Imaging platform development for Malaria, Tuberculosis and NTDs
Principal Investigator: DTIM - Grup de Tecnologies de Bases de Dades i Gestió de la Informació (Database Technologies and Information Management Group)
Funding Entity: Centre de Cooperació per al Desenvolupament de la UPC
Project type: Projecte R+D+I Competitiu
2021-09-01 a 2022-08-31

Presentations at conferences

2022. Automated diagnosis of malaria by analyzing microscopic digital images with neural networks and integration of the system in a mobile application. XII Congress of the Spanish Society of Tropical Medicine and International Health (SEMTSI). XXV Congress of the Spanish Society of Infectious Diseases and Clinical Microbiology. 2022. Spain.
2022. Development of a mobile application for automated malaria diagnosis using image analysis with neural networks. XII Congress of the Spanish Society of Tropical Medicine and International Health (SEMTSI). Spanish Society of Tropical Medicine and International Health (SEMTSI). 2022. Spain.
2022. Low-cost automation of basic microscopes to facilitate diagnostics in resource-poorlaboratories. the XII Congress of the Spanish Society of Tropical Medicine and International Health (SEMTSI). Spanish Society of Tropical Medicine and International Health (SEMTSI). 2022. Spain.
2020. I Online Pedagogical Seminar of IFPE Campus Barreiros: Google Classroom, Interfaces and Challenges of Remote Teaching. Brazil.
2014. XIV Jornada de Enseñanza, Investigación y Extensión (JEPEX). Digital survey for mobile devices with internet access through interactive digital narratives. Brazil.
2013. II Brazilian Symposium on Information Technology. Design of software products aimed at innovation: a case study. Brazil.
2012. 13th International Symposium on Schistosomiasis. SchistoSystem - Artificial Intelligence for Automated Diagnostic Imaging. Brazil.

Transfer activities

2021 - Current - BIOCOM-SC - Biologia Computacional i Sistemes Complexos - Universitat Politècnica de Catalunya, Barcelona, Spain. http://biocomsc.upc.edu
2016 - 2018 BERENICE-ZIKA
Epidemiological platforms: an unconventional proposal for monitoring the microcephaly epidemic (FACEPE APQ-0138- 4.06/16).
Federal University of Pernambuco and Oswaldo Cruz Foundation, Pernambuco, Brazil.
2016 - 2019 Graph Processing and Computational Intelligence.
Federal University of Rio Grande do Norte, Natal, Brazil.

Descripción

Studies

PhD in Computer Science, UFRN, 2019.
Master's Degree in Applied Informatics, UFRPE, 2014.
MBA in Informatics Governance, 2012.
Bachelor in Information Technology Management, Guarapes University Center, 2011.

Experience

Research Assistant in Microbiology, Vall d'Hebron Research Institute, 2023.
Research Assistant PSR, Universitat Politècnica de Catalunya, 2023.
Lecturer, Tecnocampus Mataró, 2023-2024.
PDI Postdoctoral Fellow - Digital Image Processing, 2021-2023.
Postdoctoral Fellow - Data Analytics, Laboratory of Immunopathology, 2020-2023.
Professor, Federal Institute of Pernambuco, 2019-2021.
Professor, UNIP, 2019-2022.

E-mail

adantas@euncet.com

Foto

https://www.linkedin.com/in/allissondantas/?originalSubdomain=es