Vítor Santos

Vítor Santos is affiliated with the NOVA Information Management School at NOVA University of Lisbon, Portugal. His research focuses on interdisciplinary applications of artificial intelligence, machine learning, and information systems. Key areas of interest include genetic algorithms for trajectory optimization, privacy-aware systems, and the integration of blockchain in industry.

Notable contributions include work on energy consumption prediction using neural networks and genetic algorithms, as well as methodologies for fostering creativity in software requirements engineering. His publications span journals such as ISPRS International Journal of Geo-Information and IEEE Access, and conferences like CENTERIS and WorldCIST.

Santos collaborates extensively with peers in academia and industry, addressing challenges in healthcare, maritime logistics, and urban computing. His work emphasizes practical applications of computational techniques to real-world problems.