Scope<br>The requirements demands in problem solving have been increasingly in demand in exponential way. The new technologies in computer science and engineering have reduced the dimension of data coverage worldwide. The digging of information in a large data, and the soft–computing techniques have contributed a strength in prediction, analysis, and decision potentials in the niche areas such as Computer Science, Engineering, Management, Social Computing, Green Computing, Aviation, Finance, Telecom etc. Nurturing the research in Engineering and Computing are evident that finding a right pattern in the ocean of data.<br>The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate–level students, decision makers, and researchers in both public and private sectors who are seeking research–based methods for modelling uncertain and unpredictable real–world problems.<br>***<br>Topics<br>The works that will be presented at COMPSE 2019 will focus on the following topics:<br>1. Computer Science:<br>Information Technology<br>Green Computing<br>Machine Learning<br>Smart Computing<br>Predictive Analysis<br>Mobile Programming<br>Big Data<br>Computer Architecture<br>Computational & Synthetic Biology<br>Computer Graphics, Vision, Animation, and Game Science<br>Computing for Development<br>Data Management<br>Human Computer Interaction<br>Natural Language Processing<br>Programming Languages and Software Engineering<br>Robotics<br>Security & Privacy<br>Systems and Networking<br>Theory of Computation<br>Ubiquitous Computing<br>Wireless and Sensor Systems<br>Using IT to Reduce Carbon Emissions<br>Energy–aware Computing<br>Smart Grid and micro grids<br>Sustainable Computing<br>Computing and Company Social Responsibility<br>2. Optimization<br>Mathematical Programming<br>Continues Optimization<br>Combinatorial Optimization<br>Discret Optimization<br>Ant Colony Optimization<br>Fuzzy Logic<br>Genetic Algorithm<br>Genetic Programming<br>Variable Neighbourhood Search<br>Support Vector Machine<br>Cuckoo Search<br>Simulated Annealing<br>Bat Algorithm<br>Differential Evolution<br>Robust Solutions and Robust Optimization<br>Online Optimization<br>Holistic Optimization<br>Meta–Heuristics and Stochastic Optimization<br>Optimization in video Games<br>Surrogate–Assisted Optimization<br>Dynamic Optimization<br>Network Design Optimization<br>Optimization of Energy–Efficient Protocols<br>Optimization and Natural Inspired Algorithms<br>3. Health Systems:<br>Simulation in Methods in Health Services Research: Applications for Policy, Management and Practice<br>Integrating Mixed Methods in Health Services and Delivery System Research<br>Incentives for Physicians<br>The Need for State Health Services and Policy Research<br>Health Information Technology<br>Research in Public Health Systems and Services Research<br>Financing Health systems<br>Remote medical assistance<br>
Abbrevation
COMPSE
City
Mexico City
Country
Mexico
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