International Conference on Intelligent Systems and Computational Strategie

We are delighted to invite you to the International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology (ICICET https://icicet.ca/ ), scheduled to take place from August 29-31, 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.

Paper Submission Link: https://cmt3.research.microsoft.com/ICICET2025

Track 1: 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

Track 2: 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

Track 3: 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

Track 4: 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

Track 5: 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

Track 6: 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

Track 7: 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

Track 8: 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

Track 9: 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. Jaafar Alghazo, PhD (CE)

Conference Co-chair

alghazo@crk.umn.edu

+1 (540) 447-1129