Doctor
Technological University of Panama (UTP)
Adam Leno
Dr. Fernando Arias is a professor and researcher at the Electrical Engineering department at Universidad Tecnológica de Panamá (UTP), specializing in applied machine learning and digital signal processing, particularly in remote sensing, natural language processing, and sentiment analysis. He earned his PhD from Universidad de Puerto Rico Mayagüez (UPRM) in 2019, where his research included deep neural network architecture design and optical modeling for smart biomedical imaging systems. He is also a member of the National Research System (SNI) of the Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). Currently, Dr. Arias is an active member of the Grupo de Investigación en Tecnologías Avanzadas de Telecomunicación y Procesamiento de Señales (GITTS) research group at UTP, contributing significantly to research projects involving hyperspectral imaging for applications such as harmful algal bloom monitoring, corrosion detection, and intelligent precision agriculture systems.
Dr. Arias has extensive teaching experience, having taught Data Science and Computer Vision courses at UTP. He regularly collaborates with national and international institutions, securing multiple research grants that advance AI-driven environmental monitoring and sustainable development initiatives. He is committed to enhancing the accessibility and applicability of artificial intelligence in addressing both local and global challenges.
Session: Generative AI and Cybersecurity: Innovation, Challenges, and Opportunities
This talk addresses the transformative role of generative artificial intelligence and cybersecurity in today’s technological landscape. Generative AI has become a powerful engine of creativity and efficiency, improving business processes, optimizing resources, and democratizing access to advanced technologies. At the same time, cybersecurity faces growing challenges from sophisticated digital threats, promoting preventive strategies based on innovative solutions and local technological ventures. We will explore how the interaction between these two fields can generate unique opportunities to address complex challenges and foster the sustainable development of business and technology initiatives, especially in the context of professional and economic growth for young professionals in the sector.