Special session on Theoretical Foundations and Mathematical Models in Computer Science, Artificial Intelligence and Big Data (TMM-CSAIBD) is intended to bring together researchers working in the areas of theoretical and applied Mathematics in Computer science, Artificial Intelligence and Big Data to provide a high-quality forum for the dissemination and discussion of research results in these broad areas. TMM-CSAIBD has originated from the ongoing efforts for promoting research in these fields.
This special session held under aegis of 16th International Conference on Distributed Computing and Artificial Intelligence (DCAI) and will focus on the theoretical and applied mathematical model applied to new data science technologies. This special session is devoted to promoting the investigation of the latest research of mathematical models and foundations and their effective applications, to explore the latest innovations in guidelines, theories, models, ideas, technologies, applications and tools of Computer science, Artificial Intelligence and Big Data to assess the impact of the approach, and to facilitate technology transfer.
Specific topics for this special session include, but are not limited to Theoretical Foundations and Mathematical Models applied on Computer Science, Artificial Intelligence and Big Data:
- Computational Geometry and Applications.
- Computational Modelling and Simulation in Computer Science, Artificial Intelligence and Big Data
- Design and Analysis of Algorithms and Data Structures
- Emerging technologies and applications in Computer science, Artificial Intelligence and Big Data.
- Formal Languages and Automatas
- High Performance Computing & Simulation
- Logic in Computer Science
- Mathematical Methods in Computer Science
- Mathematical and Numerical Methods in Simulation & Modelling
- Mathematical Foundations of Cryptography and Cybersecurity
- Natural and Neural Computing
- Programming Language Theory
- Quantum Computing
- Simulation of Complex Systems and Intelligent Systems
- Soft computing including fuzzy sets
- Theoretical Aspects of Computer Science
- Theory of Multi-Agent Systems
- Theoretical Issues of Machine Learning and Pattern Recognition
- Roberto Casado-Vara (Universidad de Salamanca)
- Ángel Martín del Rey (Universidad de Salamanca)
- Fernando De la Prieta (Universidad de Salamanca)
- Héctor Quintian, University of A Coruña (Spain)
- José Luis Calvo-Rolle, University of A Coruña (Spain)
- Zita Vale, Politécnico do Porto (Portugal)
- G. Kumar Venayagamoorthy, Clemson University, SC, USA
- Javier Prieto, Universidad de Salamanca (Spain)
- Pablo Chamoso, Universidad de Salamanca (Spain)
- Alfonso González-Briones, Universidad de Salamanca (Spain)
- Paulo Novais, Universidad do Minho (Portugal)
- Slobodan Petrovic, Norwegian University of Science and Technology, (Norway)