International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology on August 29-30, 2025 in Vancouver, Canada - Conference Index

International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology on August 29-30, 2025 in Vancouver, Canada

International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology August 29, 2025 - Vancouver, Canada

We are delighted to invite you to the International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology (ICICET https://icicet.ca/, Springer Scopus Indexed Publication), scheduled to take place from August 29-30, 2025, Annacis Research and Event Centre, Vancouver, BC, Canada. ICICET 2025 aims to provide a platform for experts to exchange knowledge, present groundbreaking research, and explore emerging trends in intelligent systems, computational strategies, and engineering technologies. We invite you to submit your original research contributions and be part of this dynamic gathering of scholars and professionals discussing the future of intelligent and computational technologies. Accepted and presented papers will be published in Scopus-indexed proceedings, ensuring global visibility and impact. Join us in Vancouver, a city known for its stunning landscapes, technological advancements, and vibrant scientific community. We look forward to welcoming you to ICICET 2025.

Artificial Intelligence & Machine Learning

Deep Learning & Neural Networks

Explainable AI & Ethical AI

Reinforcement Learning & Optimization

Computer Vision and Image Processing

AI and Federated Learning

Ethics, Fairness, and Interpretability in AI/ML

 Cybersecurity & Privacy in Intelligent Systems

AI for Cyber Threat Detection & Prevention

Blockchain for Security & Privacy

Cryptography & Secure Computing

Adversarial Attacks & AI Robustness

Digital Forensics & Cybercrime Analysis

Identity & Access Management in AI Systems

Computational Strategies in Engineering & Optimization

Smart Grid & Renewable Energy Optimization

Computational Fluid Dynamics

Structural Health Monitoring & Smart Materials

Intelligent Transportation & Traffic Management

Civil & Mechanical Engineering Simulations

AI for Manufacturing & Supply Chain Optimization

 Cloud Computing, Edge Computing & Big Data

Scalable Cloud & Edge Computing Architectures

Big Data Analytics & Visualization

Distributed Computing & HPC

Serverless Computing & Microservices

Data Engineering & ETL Processes

Energy-Efficient Cloud & Green Computing

Computational Intelligence & Soft Computing

Evolutionary Computation & Genetic Algorithms

Fuzzy Logic & Rough Set Theory

Swarm Intelligence & Bio-inspired Algorithms

Quantum Computing & Quantum ML

Chaos Theory & Fractal-Based Computing

Computational Neuroscience & Brain Interfaces

 Digital Twin Technology & Intelligent Systems

Digital Twin Modeling & Simulation

AI-Driven Predictive Maintenance

Real-Time Monitoring & Decision Support Systems

Digital Twin in Manufacturing & Industry 4.0

Smart Infrastructure & Urban Planning

Digital Twins with IoT & Edge Computing

 Quantum Computing & Next-Generation Computing Paradigms

Quantum Machine Learning & AI Applications

Quantum Cryptography & Communications

Quantum Algorithms for Optimization & Simulation

Quantum Computing Hardware & Architectures

Post-Quantum Cryptography & Challenges

Hybrid Quantum-Classical Computing Models

Computational Mechanics & Structural Engineering

AI-Driven Structural Health Monitoring

Finite Element Analysis (FEA) & Simulations

Smart Materials & Intelligent Infrastructure

Optimization Techniques in Civil & Mechanical Eng.

Earthquake-Resistant & Sustainable Buildings

Digital Twin Applications in Structural Engineering

Advances and Applications of Large Language Models (LLMs)

Foundations and Architectures of LLMs

Training, Efficiency, and Optimization

LLMs in Natural Language Understanding

Ethics, Fairness, and Bias in LLMs

Applications of LLMs in Industry and Research

Future Directions and Innovations in LLMs

If you have any questions, please don’t hesitate to contact:

Dr. Ghazanfar Latif

Conference General Chair

[email protected]

+1 (604) 562-1900


Name: Canadian Association for Artificial Intelligence and Future Studies (AAIFS).
Website: https://aaifs.ca/

AAIFS serves as a platform for hosting scientific events, supporting research initiatives, and promoting dialogue on the future of AI.
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