We are delighted to invite you to the International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology (ICICET), 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:
Prof. Dr. Jaafar Alghazo, PhD (CE)
Conference Co-chair
alghazo@crk.umn.edu
+1 (540) 447-1129