Key accomplishments

A keypoints-based feature extraction method for iris recognition under variable image quality conditions. Knowledge-Based Systems. JCR: 2.947. (COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Q1 16/123). DOI:10.1016/j.knosys.2015.10.024 (2015)
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An overview of iris recognition: a bibliometric analysis of the period 2000-2012. Scientometrics. JCR: 2.274 (CS, INTERDISCIPLINARY APPLICATIONS Q1 20/102). DOI:10.1007/s11192-014-1336-1 (2014)
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A fuzzy multi-objective optimization approach based eyelid detection method to improve the iris recognition accuracy. Journal of Computación y Sistemas. DOI: 10.13053/CyS-18-1-2014-019 (2014)
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An eyelid segmentation method based on a multi-objective evolutionary approach. International Conference on Operations Research, Havana, Cuba (March 11-14, 2014)
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Improving iris recognition accuracy using a fuzzy multi-objective optimization approach. International Conference on Informatics and Computer Sciences, Havana, Cuba (March 18-22, 2013)
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A fast iris location based on aggregating gradient approximation using QMA-OWA operator. IEEE World Congress on Computational Intelligence, WCCI 2010. Barcelona, Spain (July 18-23, 2010)

Role 1
Ai engineer
Role 2
Data scientist
Test Score
AI, Machine learning, Data Science
75%
Healthcare > diagnostics
full-time 40-hours-per-week
Any
Lead
Canada
Any
NA
Remote
Willing to work for stock and paid projects

Tags

AITechWealthtechHealthtech

Education

Languages

English,
Spanish
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