Mauricio Pamplona Segudo


Visiting Assistant Professor

ENB 343H |

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Dr. Mauricio Pamplona Segudo received the bachelor's degree in Computer Science (2004-2007), master's degree in Informatics (2008-2010) and doctoral degree in Computer Science (2010-2013) from the Federal University of Paraná (UFPR), Brazil. While completing the doctorate, he was a visiting research scholar at the University of South Florida (USF). His doctoral thesis on 3D face recognition received the third-best thesis award at the Brazilian Computer Society Conference in 2014. He was also a research fellow at the United Nations Educational, Scientific and Cultural Organization (UNESCO), where he worked on the digital reconstruction of statues from a UNESCO World Cultural Heritage site to support preservation and restoration efforts. From 2014 to 2020, he was a professor of the Department of  Computer Science at the Federal University of Bahia (UFBA), Brazil. There, he created an advanced study group in algorithms and data structures that helped students succeed in the main programming competitions (e.g., ACM International Collegiate Programming Contest and International Olympiad in Informatics). In 2020, he joined USF as a postdoctoral researcher at the Institute for Artificial Intelligence (AI+X). His work on estimating the impact of COVID-19 on air traffic through satellite imagery was awarded by the European Space Agency.

Research Interests

Computer vision (biometric recognition, remote sensing, video analysis, 3D vision); machine learning (few-shot learning, distribution modeling)

Teaching Interests

Artificial intelligence; computer vision; advanced algorithms and data structures


DSc in Computer Science, Federal University of Paraná, Brazil (2013)

MSc in Informatics, Federal University of Paraná, Brazil (2010)

BSc in Computer Science, Federal University of Paraná, Brazil (2007)

Honors and Awards

IET Biometrics Best Paper Award, The IET Premium Awards 2020, IET, 2020

Best contribution, Rapid Action Coronavirus Earth observation (RACE) upscaling competition, European Space Agency, 2020

2nd place, Unconstrained Ear Recognition Challenge, University of Ljubljana, 2019

3rd place, Functional Map of the World, IARPA, 2017

World finalist, ACM International Collegiate Programming Contest, ACM, 2016 & 2017

Key Activities

Reviewer at different conferences and journals, including: IEEE PAMI, IEEE TIP,  IEEE TIFS, IET Biometrics, Pattern Recognition, Pattern Recognition Letters, IEEE CVPR, IEEE ICCV, IAPR ICPR, IAPR ICB, and SIBGRAPI.