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With a degree in Hodrography and Geodesy from Havana University, a PhD in Technical Sciences, Branch in Computer Science Artificial Intelligence, Matching Learning and Patterns Recognition from Havana University, Javier Lamar León is Assistant Researcher at the Department of Informatics and Admin of the GPU Cluster Vision at the BigData Laboratory, University of Évora. He is an member of the Algoritmi Research Center. At the University of Évora, Member of the Cuban Association of Pattern Recognition, Member of the International Association in Pattern Recognition (IAPR), Member of the CIMA-GROUP, Combinatorial Image Analysis Research Group. Department of Applied Math, School of Computer Engineering University of Seville, Spain. He was Project Manager, Second and First Head of Pattern Recognition Department from Interprise Datys, Division of Research (CENATAV), Havana, Cuba (2014-2019). He have participated in the folows projects, like Project manager and developer: Algorithms for video surveillance, Gait recognition, Object detection, Abandoned object detection, Stolen object detection, Car models recognition, Human Groups detection, Human re-identification, Anomaly detection for video surveillance, Gait recognition using TDA (Topological data analysis), etc. He has research visits at the College of Computer Science and Software Engineering, Shenzhen University, China (2019) and Applied Math Dept. I, IMUS, Seville University, Spain (2012, 2013, 2022). He has published 20 articles in proceedings of scientific meetings and Journal. Advisor of students in ¿bachelor work of Mathematic¿ and ¿bachelor work of Computer Science¿ from Havana University. Her research focuses on Matching Learning, Computer Vision, Deep Learning, Video Surveillance, Gait Recognition, Natural language processing (NLP) and Topological Data Analysis. He has used the following Language, tools of programming and library: Visual Studio C++, Python, Matlab, Tensorflow, Keras, Caffe (C++ lib), OpenCV ( Image Processing C++ lib), Boost (C++ lib), CGAL & GUDHI (TDA C++ lib), ROS Robot Operating System, etc.
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Identificação

Identificação pessoal

Nome completo
Javier Lamar León

Nomes de citação

  • León, Javier

Identificadores de autor

Ciência ID
A119-C747-3C77
ORCID iD
0000-0002-1463-1837

Endereços de correio eletrónico

  • jlamarleon@gmail.com (Pessoal)

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática
  • Ciências Exatas - Matemática - Matemática Aplicada
Formação
Grau Classificação
2021
Concluído
 RECONHECIMENTO DE NÍVEL DO GRAU DE DOUTOR (Doutoramento)
Especialização em Ciências Técnicas (Cuba)
Universidade de Évora, Portugal
2015
Concluído
 Dr. in Technical Sciences (Postgraduate Certificate)
Especialização em Branch in Computer Science Artificial Intelligence, Matching Learning and Patterns Recognition
Universidad Tecnológica de La Habana José Antonio Echeverría, Cuba
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2008 - 2009 Assistente Estagiário (Docente Universitário) Universidad Central Marta Abreu de las Villas, Cuba
Universidad Central Marta Abreu de las Villas, Cuba

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2021/07 - Atual Researcher (BigData Laboratory) Universidade de Évora, Portugal
2021/02 - 2021/06 Development technician (Graphics Computing Center, (CCG)) Universidade do Minho - Campus de Azurém, Portugal
Centro de Computação Gráfica, Portugal
2014 - 2019 Second Head of Pattern Recognition Department, Project Manager (Department of Pattern Recognition) Enterprise Datys, Division of Research, Cuba
2009 - 2013 Researcher, Department of Pattern Recognition Advance Technologies Application Center, Cuba
Projetos

Projeto

Designação Financiadores
2024/01/01 - Atual Human-guided collaborative multi-objective design of explainable, fair and privacy-preserving AI for digital health
101131117
Universidade de Évora, Portugal
 European Commission
Em curso
2021/01/21 - 2024/05/31 RH.VITA - Recursos Humanos para a Valorização, Inovação e Transferência de Tecnologia do Alentejo
ALT20-05-3559-FSE-000074
Universidade de Évora, Portugal
Em curso
Produções

Publicações

Artigo em conferência
  1. Lamar Leon, J.; Alonso Baryolo, R.; Garcia Reyes, E.; Gonzalez Diaz, R.; Salgueiro, P.. "Abandoned Object Detection Using Persistent Homology". 2024.
    10.1007/978-3-031-49018-7_13
  2. Perez, J.; Leon, J.; Castilla, Y.; Shahrabadi, S.; Anjos, V.; Adao, T.; Lopez, M.A.G.; et al. "A cloud-based 3D real-Time inspection platform for industry: A casestudy focusing automotive cast iron parts". 2023.
    10.1016/j.procs.2023.01.298
  3. Javier Lamar-Leon; Raul Alonso-Baryolo; Edel García-Reyes; Rocio Gonzalez-Diaz; Lamar-Leon, J.; Alonso-Baryolo, R.; Garcia-Reyes, E.; Gonzalez-Diaz, R.. "Persistent homology-based gait recognition robust to upper body variations". 2016.
    Publicado • 10.1109/icpr.2016.7899780
  4. Javier Lamar Leon; Raúl Alonso; Edel Garcia Reyes; Rocio Gonzalez Diaz. "Topological features for monitoring human activities at distance". Trabalho apresentado em Activity Monitoring by Multiple Distributed Sensing - Second International Workshop, {AMMDS}, Stockholm, 2014.
    10.1007/978-3-319-13323-2_4
  5. Javier Lamar León; Andrea Cerri; Edel García Reyes; Rocío González Díaz. "Gait-Based Gender Classification Using Persistent Homology". Trabalho apresentado em Iberoamerican Congress on Pattern Recognition, 2013.
    10.1007/978-3-642-41827-3_46
Artigo em revista
  1. Alejandro Valdés Camejo; Javier Lamar León. "Application of algebraic topology to fingerprint recognitiony". Revista Cubana de Ciencias Informáticas 12 (2018): 29-40. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2227-18992018000400003.
    Acesso aberto
  2. Guillermo Aguirre Carrazana; Javier Lamar León; Yenisel Plasencia Calaña. "Metric Learning to improve the persistent homology-based gait recognition". Revista Cubana de Ciencias Informáticas 12 (2018): 17-31. https://www.researchgate.net/publication/331010835_Metric_Learning_to_improve_the_persistent_homology-based_gait_recognition.
    Acesso aberto
  3. León, Javier. Autor correspondente: León, Javier. "Characterizing Configurations of critical points through LBP Extended Abstract". Image-A : Applicable Mathematics in Image Engineering 4 7 (2015): http://hdl.handle.net/11441/26556.
  4. Gonzalez-Diaz, R.; Lamar, J.; Umble, R.. "Computing Cup Products in Z2-Cohomology of 3D Polyhedral Complexes". Foundations of Computational Mathematics 14 4 (2014): 721-744. http://www.scopus.com/inward/record.url?eid=2-s2.0-84904195808&partnerID=MN8TOARS.
    10.1007/s10208-014-9193-0
  5. Lamar León, Javier; García Reyes, Edel; González Díaz, Rocío; Alonso Baryolo, Raúl. "An application for gait recognition using persistent homology". Image-A: Applicable Mathematics in Image Engineering 3 6 (2013): https://idus.us.es/handle/11441/26529.
    Acesso aberto • Publicado
  6. Lamar León, Javier; García Reyes, Edel; González Díaz, Rocío. "Human gait recognition using topological information". Image-A : Applicable Mathematics in Image Engineering 1 3 (2010): https://idus.us.es/handle/11441/26220.
    Acesso aberto • Publicado
Livro
  1. Lamar-Leon, J.; Baryolo, R.A.; Garcia-Reyes, E.; Gonzalez-Diaz, R.. Gait-based carried object detection using persistent homology. 2014.
    10.1007/978-3-319-12568-8_101
  2. Lamar-León, J.; García-Reyes, E.B.; Gonzalez-Diaz, R.. Human gait identification using persistent homology. 2012.
    10.1007/978-3-642-33275-3_30
  3. Gonzalez-Diaz, R.; Lamar, J.; Umble, R.. Cup products on polyhedral approximations of 3D digital images. 2011.
    10.1007/978-3-642-21073-0_12
Relatório
  1. Javier, Leon; Pedro, Salgueiro. 2023. Vision Documentation. http://hdl.handle.net/10174/35195.
  2. Leon, Javier. 2022. VISTA Lab Évora University GPU-Cluster - Instructions to launch Jobs. http://hdl.handle.net/10174/31992.

Outros

Outra produção
  1. App BL-SLAM. BL-SLAM consist in process 3D data from a velodyne lidar mounted on a vehicle. Using these data is progressively build a map and estimate the trajectory of the vehicle using simultaneous localization and mapping (SLAM), having as main processes Odometry and graph-optimization.. 2023. Javier, Leon. http://hdl.handle.net/10174/35196.
  2. Topological signature for periodic motion recognition. 2019. Lamar-Leon, J.; Garcia-Reyes, E.; Gonzalez-Diaz, R.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85093443898&partnerID=MN8TOARS.
    10.48550/arxiv.1904.06210
  3. Persistent-homology-based gait recognition. 2017. Lamar-Leon, J.; Alonso-Baryolo, R.; Garcia-Reyes, E.; Gonzalez-Diaz, R.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169743954&partnerID=MN8TOARS.
    10.48550/arxiv.1707.06982
Software
  1. León, Javier. "Simultaneous localization and mapping, using Grpah-Slam". 1. Centro de Computação Gráfica. 2021.
  2. León, Javier. "Human semantic segmentation using deep learning". 2019.
  3. León, Javier. "Object detection using deep learning". Enterprise Datys, Software XymaSafeVision: Module Analytic. 2019.
  4. León, Javier. "Stolen object detection". Enterprise Datys, Software XymaSafeVision: Module Analytic. 2017.
  5. León, Javier. "Gait recognition using deep learning (LSTM_conv)". Enterprise Datys, Software XymaSafeVision: Module Analytic. 2017.
  6. León, Javier. "Abandoned object detection". Enterprise Datys, Software XymaSafeVision: Module Analytic. 2017.
  7. León, Javier. "Gait recognition using persistent homology". Enterprise Datys, Software XymaSafeVision: Module Analytic. 2017.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/11/05 Simplicial complex built from the weights of the layers of an already trained transformer network (Bert). https://sites.google.com/view/comptopnnmeeting/2021 Topology-Neural Networks Meeting
Grupo FQM-369 CIMAgroup, Universidad de Sevilla (Sevilla, Espanha)

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2023/11/22 - 2023/11/24 IDEAL 2023. The 24th International conference on Intelligent Data Engineering and Automated Learning, Organizing Committee (2023/11/22 - 2023/11/24)
Conferência (Membro da Comissão Organizadora)
 Universidade de Évora, Portugal
2023/07/05 - 2023/07/07 EXPAT’’23. The Experiment@ International Conference: Évora, Évora, PT, Organizing Committee (2023/07/05 - 2023/07/07)
Conferência (Membro da Comissão Organizadora)
 Universidade de Évora, Portugal
2019/10/24 - 2019/10/31 24th Iberoamerican Congress on Pattern Recognition: Havana, CU (2019/10/24 - 2019/10/31)
Conferência (Membro da Comissão Organizadora)
 Universidad de Las Ciencias Informaticas, Cuba
2013/03/01 - 2013/03/07 DGCI’2013, 17th IAPR International Conference on Discrete Geometry for Computer Imagery (2013/03/01 - 2013/03/07)
Conferência (Membro da Comissão Organizadora)
 Universidad de Sevilla, Espanha

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2023 - Atual Expert Systems with Applications (09574174) Elsevier Ltd.
2021 - Atual Revista Cubana de Ciencias Informáticas (2227-1899) Ediciones Futuro

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2019/01/13 - 2019/01/17 IAPR/IEEE Winter School on Biometrics: Shenzhen , China IAPR/IEEE Winter School on Biometrics (Postgraduate Certificate) Shenzhen University, China

Hong Kong Baptist University, Hong Kong

Expedição científica

Descrição da atividade Instituição / Organização
2018/11 - 2019/02 Researcher, Invited position, College of Computer Science and Software Engineering: Shenzhen, China Shenzhen University, China
2013/03 - 2013/04 Researcher Invited position, Applied Math Dept. I, IMUS, University of Seville, ES Universidad de Sevilla, Espanha
2012/06 - 2012/07 Researcher Invited position, Applied Math Dept. I, IMUS, University of Seville, ES Universidad de Sevilla, Espanha

Membro de associação

Nome da associação Tipo de participação
2015 - Atual Combinatorial Image Analysis Research Group, Department of Applied Math, School of computer Engineering University, Sevilla, Spain, Invited position Invited position
2009 - Atual International Association in Pattern Recognition: Havana, CU Membership
2009 - Atual Cuban Association of Pattern Recognition Membership
2014 - 2019 Research group FQM-369 Researcher, Invited position, Department of Applied Math, School of computer Engineering University, Seviila, Spain
Distinções

Título

2017 Academic Degree of Auxiliary Researcher
Academia de Ciencias de Cuba, Cuba