Danielli Araújo Lima

Danielli Araújo Lima received a Bachelor Degree (2010), Master in Science (2012) and Doctorate Degree in Computer Science focusing in Artificial Intelligence and Robotics at Computing Faculty (FACOM), Federal University of Uberlândia (UFU) Campus Santa Mônica. Received a Postdoctoral degree (2022) in Software Engineering and Neuroscience at Institute of Mathematical and Computer Sciences (ICMC), São Paulo University (USP) Campus São Carlos. She is a full-time professor at the Federal Institute of Triangulo Mineiro (IFTM) Campus Patrocínio and teaches courses in the areas of discrete mathematics, procedural programming and computational intelligence. She works as a collaborating professor in the Professional Master's Degree in Technological Education at Federal Institute of Triangulo Mineiro (IFTM) Campus Uberaba and as a permanent professor in the Professional Master's Degree in Public Administration at Triângulo Mineiro Federal University (UFTM) Campus Uberaba. She received the degree of Licentiate in Technological Education (2021) at Federal Institute of the Triângulo Mineiro (IFTM) Campus Uberlândia. She has an Improvement Course (2021) in Digital Technologies for Education at Federal University of Ceará (UFC) Campus Sobral, she received a Specialist Degree (2018) in Analysis and Development of Systems applied to Business Management with emphasis on Data Science at the Federal Institute of the Triângulo Mineiro (IFTM) Campus Uberlândia, and she is Civil Construction Designer (2021) at Federal Institute of Paraíba (IFPB) Campus Guarabira. At the same time she is reviewer of Engineering Applications of Artificial Intelligence; Applied Soft Computing Elsevier, Journal of Experimental & Theoretical Artificial Intelligence, IEEE Access and IEEE Transactions on Automation Science and Engineering. She was an elected member (2021) of the Special Commission on Informatics in Education (CEIE) of Brazilian Computing Society (SBC). Currently she is the leader of two research groups registered by CNPq coordinating Laboratory of Innovation in Technology (LabITec) and Laboratory of Computational Intelligence and Robotics (LICRo). Her research interest is in the fields of neuroscience, artificial intelligence, robotics and theory of cellular automata and its applications including encryption and complex systems modeling. Has experience in Computer Science, focusing on Human Computing, Cryptography, Data Science, Gamification, Education, Bio-Inspired Computation and Software Engineering. She is currently acting on the following subjects (main keywords): Cellular Automata, Stochastic Models for Interdisciplinary Problems (Pedestrian Dynamics, Biological and Physical Applications, Ants), Robots Control (Surveillance and Search and Rescue tasks, Mobile Cyber-Physical Systems, Collective Intelligence, Artificial Neural-nets), Chaos and Dynamical Systems, Graphs, Queues and Computer Theory, Cryptography and Image Processing, Petri-Nets Modelling, Multi-Objective Searching Problems (Tabu Search, Particle Swarm Optimization, Ants Colony Optimization, Artificial Life), Parallel Solving Problems (Multi-Agent Systems, Natural Computing, Evolutive Computing and Genetic Algorithms, Local and Global Search), Automatic Planning, Algorithms Analysis, Neurocience (Gamification, Learning Systems, Tutoring Systems and Human Computing) for Technological Education and Public Administration.