Aims and Scope

We are thrilled to invite researchers, academicians, and industry professionals from diverse fields to participate in this exciting event. At our conference, we embrace the spirit of unrestricted exploration, welcoming a wide array of topics related to computational intelligence and its applications in engineering. Our aim is to create a collaborative platform where participants can engage in fruitful discussions, share their innovative research findings, and collectively advance the frontiers of knowledge. To discover the full range of topics covered, we encourage you to explore the various sessions and sub-sessions listed below. Join us as we embark on a journey of discovery, creativity, and knowledge exchange, to pave the way for a brighter, more intelligent future.

Session 1:

Artificial Intelligence and Machine Learning in Engineering

Sub-session: “AI-Driven Solutions for Civil Engineering”
Sub-session: “Machine Learning Applications in Mechanical Engineering”
Sub-session: “AI in Electrical and Electronic Engineering”
Sub-session: “Intelligent Systems for Chemical Engineering”
Sub-session: “AI and Machine Learning in Aerospace Engineering”

Session 2:

Neural Networks and Deep Learning for Engineering Applications

Sub-session: “Deep Learning in Computer Vision and Image Processing”
Sub-session: “Neural Networks for Robotics and Autonomous Systems”
Sub-session: “Applications of Deep Learning in Bioinformatics and Biomedical Engineering”
Sub-session: “Deep Learning for Natural Language Processing in Engineering”
Sub-session: “Neural Network Control Systems in Industrial Engineering”

Session 3:

Evolutionary Computing and Optimization Algorithms in Engineering

Sub-session: “Optimization Algorithms for Structural Optimization in Civil Engineering”
Sub-session: “Evolutionary Computing in Mechanical Design and Manufacturing”
Sub-session: “Optimization Algorithms for Power System Optimization in Electrical Engineering”
Sub-session: “Evolutionary Techniques in Chemical Process Engineering”
Sub-session: “Multi-objective Optimization using Optimization Algorithms in Aerospace Engineering”

Session 4:

Fuzzy Systems and Soft Computing for Engineering Problems

Sub-session: “Fuzzy Logic Control Systems in Industrial Automation”
Sub-session: “Fuzzy Control in Environmental Engineering Applications”
Sub-session: “Soft Computing for Intelligent Transportation Systems”
Sub-session: “Fuzzy Decision Support Systems in Industrial Engineering”
Sub-session: “Fuzzy Modeling and Control in Mechatronics Engineering”

Session 5:

Computational Intelligence for Sustainable Engineering and Smart Cities

Sub-session: “AI-Driven Approaches for Sustainable Energy Management”
Sub-session: “Intelligent Systems for Smart Grids and Renewable Energy Integration”
Sub-session: “AI and Data Analytics for Sustainable Water Resources Management”
Sub-session: “Smart City Planning and Optimization using Computational Intelligence”
Sub-session: “AI Applications for Environmental Monitoring and Pollution Control”

Session 6:

Data Mining and Big Data Analytics for Engineering Applications

Sub-session: “Big Data in Engineering Systems and Operations”
Sub-session: “Data Mining for Predictive Maintenance in Industrial Processes”
Sub-session: “Machine Learning for Fault Detection and Diagnosis in Engineering Systems”
Sub-session: “Big Data Analytics for Health Monitoring in Structural Engineering”
Sub-session: “Data-Driven Decision Making in Smart Manufacturing”