Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization

About the Conference Proceedings Series:

This proceedings series is intended to discuss the evolution of future generation Technologies through adaptive and intelligent systems, which will use data and network engineering and intelligent decision support system-by-design principles to design a reliable ecosystem and to implement cyber-physical pervasive infrastructure solutions. The role of adaptation, learning analytics, data science, computational Intelligence, optimization techniques, and data analytics in the field of smart Systems are becoming increasingly essential and intertwined. The capability of an intelligent system, optimization techniques are growing depending upon various self-decision making algorithms in IoT Devices. This proceedings series focuses to attract researchers and practitioners who are working in Information Technology and Computer Science in the field of intelligent computing paradigm, data analytics, machine learning, Sensor data, energy-aware algorithms, Internet of Things, Terminal intelligence, intelligent sensors, Ubiquitous communication, Communication protocols, and data sciences. This series will also cover the most recent topics in applied optimization such as linear, nonlinear, and dynamic programming and combinatorial and network optimization, methods for analysis, design and control of complex systems, networks and machines; management of large data sets; modeling complex systems; digital signal processing; and tools and software solutions for different scientific and technological purposes. This series will cover the theory, research, development, and applications of intelligent systems, learning and adaptive algorithms, computational analytics, energy-aware algorithms, data processing, optimization techniques, modeling complex systems, machine learning algorithms, as embedded in the fields of engineering, computer science, and Information Technology.

Aim and Scope of this Series:

In the age of Artificial Intelligence, machine learning, Big Data, and Internet of Things, the integration of traditional and contemporary intelligent computing techniques continues to play an increasingly vital role in data analysis, optimization, decision making, and system evaluation and analysis. The role of adaptation, machine learning, computational Intelligence, and data analytics in the field of intelligent Systems are becoming increasingly essential and intertwined. The capability of an intelligent system is growing depending upon various self-decision making algorithms in smart Devices. Smart systems generate a large amount of data that cannot be processed by traditional data processing algorithms and applications. Hence, this conference series involves different computational methods incorporated within the system with the help of Analytics Reasoning, learning methods, Artificial intelligence, Terminal intelligence, intelligent sensors, optimization techniques, modeling complex systems, Ubiquitous communication, Communication protocols, and Sense-making in Big Data, which is most concerned in intelligent environment. The readers of the books in this series will have the chance to learn about most recent research outcome, analysis and developments, and to catch up with current trends in industry-academia. This book series serves as a channel to consolidate work related to topics linked to learning, analytics, data processing, machine learning algorithms, and optimization in intelligent systems and structures.

This series focuses to attract researchers and practitioners who are working in Information Technology and Computer Science in the field of intelligent computing paradigm, Big Data, machine learning, Sensor data, Internet of Things, and data sciences. The main aim of the series is to make available a publication of books on all aspects of learning, analytics and advanced intelligent systems and related technologies. This series will cover the theory, research, development, and applications of learning, computational analytics, data processing, machine learning algorithms, as embedded in the fields of engineering, computer science, and Information Technology.

List of Potential topics of the series:

This proceedings series will provide full coverage of leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multi-disciplinary field. The series provides volumes having works with empirical studies, theoretical and numerical analysis, and novel research findings. This series will cover the following domain of research:

• Ambient Intelligent Systems
• IoT Systems and Mobile Computing
• Data Mining and Business Intelligence
• Big Data Analytics and Big Data Processing
• Big Data Search and Information Retrieval Techniques
• Scalable Computing Models, Theories, and Algorithms
• Intelligent Computing with Smart IoT Devices
• Cyber Physical Systems in IoT ecosystems
• Fuzzy decision making and decision support systems for Intelligent infrastructure
• Data & Knowledge Engineering for intelligent
• Evolutionary Optimization for intelligent
• Knowledge Discovery, Integration, Transformation
• Optimization techniques, modeling complex systems
• Ontology and Knowledge Sharing in intelligent systems
• Software Defined Network (SDN) for cloud-based Internet of Things
• Internet of Things for Industrial Transformation and automation
• IoT in creating intelligent, self-optimizing industrial equipment and facilities
• Cognitive Predictive Maintenance for Industrial Internet of Things (IIoT)
• Intelligent Computer chips and communications devices integrated with physical objects
• Terminal intelligence and light weight sensors
• Self-organization and self-healing
• Data processing and anomaly detection
• Cross-layer design and optimization
• Relay, multi-hop, and cooperative communication
• Ubiquitous communication, routing protocols, and network selection
• Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.) for Internet of Things
• Big data analytics for cyber-security and privacy

Advisory Board Member(s)

Dr. Vicente García Díaz
Associate Professor
Department of Computer Science,
University of Oviedo,
Spain
garciavicente@uniovi.es


Dr. Kanad Basu
Department of Electrical and Computer Engineering,
University of Texas at Dallas
USA
kanad.Basu@utdallas.edu


Dr. Faiez Gargouri
Vice President
University of Sfax
Tunisia
faiez.gargouri@usf.tn


Dr. Mostafa EZZIYYANI
Faculty of Sciences and Techniques of Tangier,
Computer Science Department,
Abdelmalek Essaâdi University
Morrocco
mezziyyani@uae.ac.ma


Dr. Noor Zaman Jhanjhi
Associate Professor
School of Computer Science & Engineering
Faculty of Innovation & Technology
Director – Center for Smart Society 5.0
Taylor's University
Malayasia
noorzaman.jhanjhi@taylors.edu.my

Dr. John Petearson Anzola
Department of Electronic Engineering
Los Libertadores University
Colombia
jpanzolaa@libertadores.edu.co

Dr. Gia Nhu Nguyen
School of Computer Science
Duy Tan University
Vietnam
nguyengianhu@duytan.edu.vn


Dr. Hanaa HACHIMI
Secretary General of Sultan Moulay Slimane University
Associate Professor
Applied Mathematics & Computer Science
Systems Engineering Laboratory LGS Director, BOSS Team
Morocco
hanaa.hachimi@usms.ac.ma
hanaa.hachimi@ieee.org

Peer Review Process for the series

 All submitted papers in each volume under go a double blind peer review.

Citation details

The volumes in this series will be submitted to Scopus and WoS for indexing.

Please visit the website for more information. https://www.routledge.com/our-customers/authors/support-and-services/author-faqs/citation-indexes