COMPSE 2020 Best Paper Award goes to the authors of:

Modeling Nanocomposites With Ellipsoidal And Conical Inclusions By Optimized Packing

Romanova, Tatiana (Nacional Academy Of Sciences, Ukraine),
Pankratov, Alexandr (IPMach of NASA),
Litvinchev, Igor (UANL),
Strelnikova, Elena (IPMach of NASA).

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to Special Issues:

• Mobile Networks and Applications (MONET) Journal (IF: 2.602)
• Artificial Intelligence & Quantum Computing in MDPI-Sustainability (IF: 2.576)

Additionally, selected papers will be considered to be included in:

• EAI Endorsed Transactions on Pervasive Health and Technology (Scopus Indexed, Open Access)

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series

1. Computer Science:

• Information Technology
• Machine Learning
• Smart Computing
• Big Data
• Computer Graphics, Vision, Animation, and Game Science
• Natural Language Processing
• Programming Languages and Software Engineering
• Robotics
• Security & Privacy
• Theory of Computation
• Wireless and Sensor Systems

2. Optimization

• Continues Optimization
• Combinatorial Optimization
• Discrete Optimization
• Metaheuristics algorithms
• Robust Solutions and Robust Optimization
• Stochastic Optimization
• Surrogate-Assisted Optimization
• Dynamic Optimization
• Optimization and Natural Inspired Algorithms

3. Health Systems:  

• Simulation methods in Health Services: Applications for Policy, Management, and Practice
• Health economics and health technology assessment
• Public Health Systems and Services
• Pervasive health

Innovative optimization approaches have attracted many research scientists, decision-makers, managers, executives, engineers, academicians, and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems.

The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2020) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Economics, and Health Systems. The conference is designed to share new state-of-the-art evidence; review the progress and challenges towards implementation of the global agenda of priority research; identify and discuss the approaches to strengthen the scientific rigor of engineering problems and health systems research including concepts, frameworks, measures, and methods.

COMPSE 2020 will facilitate greater research collaboration and learning communities across disciplines, sectors, initiatives, and countries. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for postgraduate-level students, decision-makers, and researchers in both public and private sectors who are seeking research-based methods for modeling real-world problems.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.