Mr. Joel de C. Nogueira Diniz , UFMA, Brazil
Joel de C. Nogueira Diniz is a highly accomplished professional with extensive experience in civil engineering, particularly in the areas of structural design, BIM implementation, and dredging operations. With a background spanning multiple disciplines, including civil engineering, computer science, and hydrography, Joel has excelled in both academic and professional spheres. He holds a Master’s degree in Processos Construtivos from the Universidade Federal do ParĆ”, where his research focused on predictive maintenance in reinforced concrete structures using BIM and computational programming optimization. Joel has also pursued specialized education, including an MBA in BIM from the Instituto Brasileiro de EducaĆ§Ć£o Continuada and the Universidade Paulista. His professional journey includes roles as a Superintendent, Project Manager, and Civil Engineer at Van Oord do Brasil, a prominent company in dredging and marine contracts. Joel’s expertise extends to teaching, where he has served as a professor at various institutions, contributing to the education of future engineers. Passionate about sharing knowledge, he has delivered numerous lectures and seminars on topics such as BIM implementation, dredging operations, and structural design. Joel’s dedication to advancing engineering practices, coupled with his academic achievements and practical experience, underscores his commitment to innovation and excellence in the field of civil engineering.
Professional Profile:
Orcid
š Education:
Joel de C. Nogueira Diniz pursued a diverse educational journey, culminating in a wealth of knowledge and expertise. He obtained his Master of Science in Processos Construtivos from the Universidade Federal do ParĆ”, SĆ£o LuĆs-MA, during the period of 2016-2018. Prior to that, he completed an MBA in BIM Platform – Modelagem, Planejamento e OrƧamento at the Instituto Brasileiro de EducaĆ§Ć£o Continuada e Universidade Paulista, SĆ£o LuĆs-MA, from 2015 to 2017. Additionally, he acquired a Post-Graduation in Estruturas de Concreto e FundaƧƵes from the Instituto Brasileiro de EducaĆ§Ć£o Continuada e Universidade Cidade de SĆ£o Paulo, SĆ£o LuĆs-MA, spanning from 2012 to 2014. His foundational education includes a Bachelor of Science in Engenharia Civil from the Unidade de Ensino Superior Dom Bosco, SĆ£o LuĆs-MA, earned between 2009 and 2013, and a Bachelor of Science in CiĆŖncias da ComputaĆ§Ć£o from the Universidade Federal do MaranhĆ£o, SĆ£o LuĆs-MA, completed from 2000 to 2005.
š¼ Experience:
Joel de C. Nogueira Diniz has built a multifaceted career, currently serving as the Superintendente/Gerente de Projetos/Engenheiro Civil/TĆ©cnico em Batimetria at Van Oord do Brasil in SĆ£o LuĆs – MA since September 1, 1998, showcasing his expertise in project management, civil engineering, and bathymetry. Concurrently, he shares his knowledge and experience as a Professor of Civil Engineering at UNDB in SĆ£o LuĆs – MA, a role he has held since May 11, 2016. Additionally, he has contributed to the academic sphere as a Professor at Navigare in SĆ£o LuĆs – MA since February 12, 2016. Earlier in his career, he served as a TĆ©cnico em EdificaƧƵes at Ćncora in SĆ£o LuĆs-MA from February 17, 1997, to August 24, 1998.
š Academic Involvement:
At UNDB in SĆ£o LuĆs – MA, Joel de C. Nogueira Diniz has contributed significantly through his roles in OrientaƧƵes and Bancas, providing guidance and expertise to students in their academic pursuits. He has also shared his insights and knowledge through Palestras Proferidas at various locations, enriching the academic and professional community with his expertise. Additionally, his contributions extend to the realm of publications, with notable works featured in the AgĆŖncia PortuĆ”ria de NotĆcias in SĆ£o LuĆs – MA.
Publication Top Notes:
Title: A One-Step Methodology for Identifying Concrete Pathologies Using Neural NetworksāUsing YOLO v8 and Dataset Review
- Journal: Applied Sciences
- Published Date: 2024-05-20
Title: A Method for Detecting Pathologies in Concrete Structures Using Deep Neural Networks
- Journal: Applied Sciences
- Published Date: 2023-05