Interview with Erick Delvizio : IA and Intectual Property

#intellectual-property #artificial-intelligence #intelligence #learning
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Interview with Erick Delvizio about IA and Intellectual property.

 Registration Link: https://docs.google.com/forms/d/e/1FAIpQLSepvyjgvm9JEwekU8fexT5VdbNDvxMYjCk5QrttD0OYpbYB8Q/viewform?usp=dialog


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  • Interview with Erick Delvizio on AI and intellectual property. Online event via YouTube on September 21, 2026, at 7:00 PM.

    Registration link: https://docs.google.com/forms/d/e/1FAIpQLSepvyjgvm9JEwekU8fexT5VdbNDvxMYjCk5QrttD0OYpbYB8Q/viewform?usp=dialog

     

     

     

     

  • Starts 10 September 2026 03:00 AM UTC
  • Ends 05 October 2026 03:00 AM UTC
  • No Admission Charge

  Speakers

Topic:

Erick Delvizio

Biography:

An IEEE Senior Member, he holds a PhD in Innovation from the INPI Academy (2025) and both a Bachelor’s and Master’s degree in Electrical Engineering from the Federal University of Juiz de Fora (2001/2003). He currently works in the PCT International Division (DIPCT) at INPI and simultaneously teaches at Veiga de Almeida University (UVA). He participates in several university outreach projects at UVA, such as CECom, UVAFlow, and LABEnergia. His experience spans the field of Electrical Engineering—with an emphasis on building maintenance, Industrial Property, and research into optimization in transmission and the reliability of electric power systems—as well as the field of education.

Address:Brazil

Topic:

Artificial Intelligence

Biography:

Professor Jorge Luís Machado do Amaral holds a Bachelor's degree in Electronic Engineering from the Federal University of Rio de Janeiro (1991), a Master's degree in Electrical Engineering from COPPE/UFRJ (1999), and a Ph.D. in Electrical Engineering from the Pontifical Catholic University of Rio de Janeiro (2006). He has served as a visiting scientist at Fermilab (USA) and CERN (Switzerland) and worked as a project development manager at Amsys Eletrônica e Sistemas. Currently, he is an Associate Professor and a "Procientista" (research excellence fellow) at the Rio de Janeiro State University (UERJ). Since 2007, he has been a faculty member of the Graduate Program in Electronic Engineering (PEL-UERJ), where he has supervised 20 master's theses. Since 2012, he has coordinated the Industrial Networks and Automation Systems Laboratory (LARISA). He has published over 80 full papers in national and international journals and conference proceedings and has received two "best paper" awards at conferences. He has experience in Electrical Engineering, with an emphasis on Instrumentation, Fault Diagnosis, and Intelligent Systems, working primarily on the following topics: Machine Learning, Intelligent Systems Applied to Instrumentation, Fault Detection and Diagnosis, Artificial Immune Systems, and Multi-Objective Optimization.

Address:Brazil