The Institution of Electronics and Telecommunication Engineers (IETE), Delhi Centre and Soft Computing Research Society are jointly organizing the 6th Congress on Intelligent Systems (CIS 2025) in-person and online during September 06-07, 2025. The CIS 2025 aims to bring researchers, academicians, industry, and government personnel together to share and discuss the various aspects of Intelligent Systems. The conference will witness multiple eminent keynote speakers from academia and industry from all over the world along with the presentation of accepted peer-reviewed articles. For more details, please visit the conference website: https://scrs.in/conference/cis2025.

Accepted Full-length paper will be published in the SCOPUS Indexed Springer Book Series, ‘Lecture Notes in Networks and Systems'

Intelligent Systems (Hardware & Software): Internet of Things, Information Security, Embedded Systems, Real-time Systems, Cloud Computing, Big Data Analysis, Quantum Computing, Automation Systems, Intelligent IoT eHealth, Bio-Inspired Intelligence, Brain Modeling and Simulation, Cognitive Systems, Cyber-Physical Systems, Data Analytics, Data/Web Mining, Data Science, Hybrid Systems, Intelligence for Security, Intelligent Decision Making Systems, Intelligent Information Processing, Intelligent Transportation.

Machine Vision: Artificial Intelligence for Machine Vision, Imaging Sensors Technology, Features Extraction, Color and Texture Analysis, Image Segmentation, Convolutional Neural Network, Biometrics Recognition, Biomedical Imaging, Image/Video Classification, Image Restoration, Soft Computing for Machine Vision, Pattern Recognition, Gesture Recognition, Action Recognition, Intelligent Transport Systems, Surveillance, Human-Computer Interaction.

Robotics: Robotic devices and systems, Autonomous vehicles, Intelligent control systems, Cooperating robots for manufacturing and assembly, Intelligent transportation systems, Human-machine interaction, Human motor control, Game playing.

Computational intelligence: Evolutionary Algorithms, Swarm Optimization, Neural network, Deep learning, Supervised learning, Unsupervised learning, Fuzzy Logic, Rough Sets, Computational Optimization, Neuro-Fuzzy Systems, Reinforcement Learning, Bayesian networks, Hybrid Learning.