The aim of this second IEEE-International Conference on Computational Intelligence and Sustainable Engineering (CISES-2023) to provide an opportunity to the global community researchers, scientists, research scholars, solution developers, practitioners and budding professional on amalgamation of sustainable engineering solutions development and computational intelligence innovations.
The key attempt of CISES-2023 is to bring together the global participants for exploring and sharing an intact idea not only to bridge the research gaps, but also to establish international research collaborations in their career path. The conference will feature plenary/keynote sessions by global renowned research leaders, scholars, regular sessions with broad coverage, and special sessions focusing on emerging computational intelligence topics.
Hopefully, the outcome must boost the participants towards the theme of the conference and encourage them for their significant contributions in sharing their scientific knowledge, during the subsequent series of the conferences as well.
Prospective authors are invited to contribute high-quality original research papers to CISES2023.
We invite submission of high-quality original papers on Computation Intelligence and Sustainable Engineering applications which match the theme of the conference as well as more focused areas presenting recent research and development in following areas.

Broadly Conference theme includes:
• Intelligent Computations and Communications
• Soft Computing and AI-driven Process Automation
• Sustainable Engineering Solutions/Application

All the papers will go through the multiple peer-review process and only accepted and presented papers at the conference will be submitted to IEEE for publication.

• Genetic Algorithms and Programming • Evolutionary Multi-Objective Optimization • Evolution Strategies, Evolutionary Robotics and Intelligent Agents • Hybrid Systems • Evolutionary Rule-based systems • Memetic Algorithms • Hyperheuristics • Biocomputing and Complex Adaptive Systems • Swarm/Collective Intelligence • Bioinformatics and life sciences • Computer vision, image processing and pattern recognition • Dynamic environments, time series and sequence learning • Visualizing and improving the interpretability of machine learning models • Generalization and overfitting • Policy search and reinforcement learning • Fuzzy Logic, Rough Sets and Bayesian Methods • Cognitive Learning, Learning Paradigms • Memory Paradigms and Reasoning Models • Explainable AI, and adversarial Machine Learning • Extreme Learning Machines, Quantum Computing • Generative Adversarial Models • Natural Language Processing • Computational Genomics • Recommendation Systems • Renewable Energy Systems • Smart Cities • Intelligent Transportation Systems • Neuroscience and Healthcare • Graphical Models • Climate Science • Remote Sensing • SSE Devices Modelling • Computational Finance • Computer Vision • Internet of Things (IoT) • Internet of Medical Things (IoMT) and Smart Healthcare

• Music Information Retrieval • Big Data Analytics • Artificial Intelligence, Machine Learning and Deep Learning Concepts Modelling • Soft Computing and Nature inspired computing • Human Machine Interaction • Web Intelligence and Social Networking • Cognitive systems and cognitive modelling • Biocomputing and Complex Adaptive Systems • Bio-Inspired Hardware and Networks • Swarm/Collective Intelligence • Cloud, Fog and Cluster computing • Wireless and Sensor Networks • Ubiquitous Intelligence and Mobile computing • Emerging tools, technologies and Security • Data mining • Bioinformatics and life sciences • Computer vision, image processing and pattern recognition • Dynamic environments, time series and sequence learning • Cognitive systems and cognitive modelling • Game Theory and Applications • Augmented & Virtual Reality • Industry 4.0 • Social and Crowd Computing • Robotic Process Automation • 5G/6G Communications • Cybersecurity and cybernetics • AI-Driven Industrial automation • AI-Driven bioinformatics and Bio-engineering • Intelligent E-learning systems • Neural Networks and Pattern Recognition • Security, Authentication and Privacy • Augmented Reality and Virtual Reality • Smart Environment and applications • Block Chain and Cryptocurrency • Sentiment Analysis

All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. The conference will highlight papers representing advanced theories and innovative applications on system, cybersecurity and computation intelligence.