1st Conference on Computer Science and Computer Engineering

CoCSCE 2018


Engineering & Computer Science (General)



The Conference on Computer Science and Engineering 2018 (CoCSCE’18) is held under the Tijuana International Research Congress (Congreso Internacional de Investigación Tijuana) organized by the Autonomous University of Baja California. This bilingual (Spanish-English) event serves to attract students and researchers with engineering and scientific advancements in the areas of both Computer Science and Computer Engineering, as well as being a meeting point with the aim of creating communication channels between its attendees as Tijuana is located in a strategic geographic location near many research centers, universities, and key industries in the private sector.

MAIN TOPICS

Software engineering:

Software Engineering
Software tools for teaching assistance
Software architectures
Software quality
User interface design and modeling
Human-computer interaction
Usability engineering
Software project management
Software project methodologies
Social aspects of software development
Educational software in engineering
Information systems
Formal methodologies in software development
Software agents
Agent architectures
Hybrid-intelligent agents
Agent platforms
Multi-agent systems

Ubiquitous and mobile computing:

Infrastructure-networking
Intelligent environments
Wireless sensor networks
Embedded systems
Intelligent embedded systems
User interfaces and applications for mobile devices
Internet of things

Modeling and simulation:

Computational modeling
Scientific computing
Computational modeling tools
Computational platforms for simulation
Agent architectures for simulation
Hybrid-intelligent systems
Fuzzy systems
Neural networks
Evolutionary computation
Pattern recognition
Image processing
Multi-agent systems for modeling and simulation
Hybrid computational methodologies
Complex network simulations
Complex systems
Complex systems fundamentals
Complexity in information technologies and communication
Complexity in socio-economical systems
Complexity in biological and biomedical systems
Complexity in infrastructure, planning and environment
Complexity in economy and finances
Complexity in linguistics

Artificial intelligence:

Knowledge representation
Common sense knowledge
Knowledge architectures
Learning and cognition
Collective knowledge extraction
Autonomous mental systems
Systems-world modeling
Artificial mind development
Virtual person

Computational intelligence:

Data mining
Data science
BigData
Machine learning
Granular computing
Perceptual computing
Deep learning