Paulo Vinicius Moreira Dutra | Artificial Intelligence and Machine Learning | Best Researcher Award

Posted on by Academic achievements

Mr.Paulo Vinicius Moreira Dutra | Artificial Intelligence and Machine Learning | Best Researcher Award

Master Federal University of Juiz de Fora Brazil

Paulo Vinícius Moreira Dutra is a dedicated computer science professor specializing in system development, software engineering, and digital games. With over a decade of teaching experience, Paulo has made significant contributions to various educational institutions, including the Instituto Federal de Educação Ciência e Tecnologia Sudeste de Minas Gerais.

Profile

ORCiD

Education

🎓 Paulo holds a Master’s degree in Computer Science from the Universidade Federal de Juiz de Fora (2023), with a focus on artificial intelligence. He also has a specialization in Computer Programming (2008), Higher Education Teaching (2017), and Digital Game Development (2018), as well as a bachelor’s degree in System Development Technology (2006).

Experience

💼 Paulo has extensive experience in both academia and industry. He has taught at the Faculdade de Filosofia, Ciências e Letras Santa Marcelina and currently serves as a professor at the Instituto Federal do Sudeste de Minas Gerais. His professional journey also includes a role as a systems analyst at Dvallone Tecidos Ltda, where he developed applications using Delphi, Advpl, and C#.

Research Interest

🔍 Paulo’s research interests lie in system development, software engineering, digital games, databases, machine learning, and reinforcement learning. His work often explores the intersection of artificial intelligence and game development, focusing on procedural content generation and educational applications.

Awards

🏆 Paulo has been recognized for his contributions to computer science education and research. His innovative approach to teaching and his impactful research projects have earned him accolades and nominations in various academic circles.

Publications

📝 Paulo has published several research articles and papers in esteemed journals and conferences. Notable publications include:

  1. “ARTOOLKIT: UMA BIBLIOTECA PARA CONSTRUÇÃO DE APLICAÇÕES EM REALIDADE AUMENTADA” (2016). Published in DUC IN ALTUM (Muriaé). Link.
  2. “Desenvolvimento de um framework para construção de aplicações desktop em java utilizando swing” (2011). Published in Duc in Altum (Muriaé).
  3. “A mixed-initiative design framework for procedural content generation using reinforcement learning” (2024). Accepted for publication in ENTERTAINMENT COMPUTING.
  4. “Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback” (2022). Presented at the 21st Brazilian Symposium on Computer Games and Digital Entertainment (SBGames). Link.

 

Jeanfranco David Farfan Escobedo | Machine Learning | Young Scientist Award

Posted on by Academic achievements

Mr. Jeanfranco David Farfan Escobedo | Machine Learning | Young Scientist Award

Jeanfranco David Farfan at Escobedo State University of Campinas, Brazil

Jeanfranco David Farfan Escobedo is a PhD candidate in Computer Science at the University of Campinas (UNICAMP), Brazil, specializing in deep learning techniques for uncertainty reduction in oil reservoir simulations. He holds an M.Sc. in Computer Science from UNICAMP with a thesis in Conversational Systems and a B.Sc. in Computer and Systems Engineering from Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Peru, focusing on Computer Vision. Jeanfranco’s professional journey includes roles as a researcher at Shell Oil Company, Brazil, and teaching positions at UNICAMP and UTEC, Peru. He has received prestigious awards such as the Shell Oil Company Industry Research Scholarship and has contributed to significant publications in applied computing and artificial intelligence journals. His research timeline demonstrates continuous engagement in advancing deep learning, natural language processing, and computer vision fields.

Author Profile

Google Scholar Profile

Education

Jeanfranco David Farfan Escobedo is currently pursuing a PhD in Computer Science at the University of Campinas (UNICAMP), Brazil. He earned his Master of Science degree in Computer Science from UNICAMP, focusing on Conversational Systems. Previously, he obtained a Bachelor of Science in Computer and Systems Engineering from Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Peru, with a thesis in Computer Vision.

Research Focus

Jeanfranco’s research primarily revolves around applying deep learning techniques to reduce uncertainty in oil reservoir simulations. Additionally, he explores topics in natural language processing, focusing on conversational systems, and computer vision for tasks like image recognition.

Professional Journey

Jeanfranco has accumulated diverse professional experiences. He currently works as a researcher at Shell Oil Company in Brazil, specializing in utilizing deep learning for improving oil reservoir simulations. He has also served as a Teaching Assistant at UNICAMP, where he supported courses in Algorithms and Computer Programming. Furthermore, he has taught Machine/Deep Learning at the Artificial Intelligence University of Engineering and Technology (UTEC) in Peru.

Honors & Awards

Jeanfranco has received several notable awards, including the Shell Oil Company Industry Research Scholarship in 2021, the Sinch Latin America Industry Research Scholarship in 2019, and first place in the AgroHack hackathon for developing a plant disease monitoring app in 2018.

Publications Noted & Contributions

Jeanfranco has contributed significantly to academic publications, including:

Research Timeline

Jeanfranco’s research journey spans from his undergraduate studies through to his current doctoral research. He has consistently explored cutting-edge topics in deep learning, natural language processing, and computer vision, contributing to advancements in these fields.