Scopus Indexed – Springer Publication
INTERNATIONAL CONFERENCE ON INTELLIGENT
SYSTEMS AND COMPUTATIONAL STRATEGIES
IN ENGINEERING AND TECHNOLOGY
Vancouver, BC, Canada – Hybrid
August 29-30, 2025

Welcome to ICICET 2025
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 29-30, 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.
Important Dates
July 28, 2025
Article/Abstract Submission Deadline
FINAL EXTENTION
August 05, 2025
Notification of Acceptance
Decisions in process
August 10, 2025
Registration Deadline
August 15, 2025
Camera Ready Submission
Conference Scope
ICICET spans the domain of computer science, engineering and information technology. The conference seeks research contributions in the below tracks.
General areas of interest to ICICET include but are not limited to:

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: Business Driven Smart Energy Systems and Intelligent Technologies
Smart City Technologies
IoT, mobility, waste and Intelligent transportation
Renewable energy optimization and AI-based grid
Quantum Computing & Quantum ML
Sustainable and AI-driven Urban Ecosystems
Business intelligence for smart governance

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: Intelligent Systems in Healthcare
AI-Driven Structural Health Monitoring
Biomedical imaging and signal processing
AI and ML in diagnostics and patient care
Smart Materials & Intelligent Infrastructure
Bioinformatics and computational biology
Medical robotics and assistive technologies
Digital Twin Applications in Healthcare

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
Delighted to have following
Keynote Speakers and Industry Experts

Irfan Mehmood, Ph.D.
Irfan Mehmood is an Associate Professor specializing in AI, Computer Vision, Medical Diagnostics, Business Data Analytics within the Faculty of Management, Law, and Social Sciences at the University of Bradford, UK.
For more details about his Research Work:
Google Scholar

Nazeeruddin Mohammad, Ph.D.
Director of Cybersecurity Center and Associate Professor, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University in the Kingdom of Saudi Arabia.
For more Details about his research work:
Google Scholar
Collaborators and Sponsors

The technical objective of ICICET is to showcase research papers, receive prompt feedback from attendees, and feature in-depth presentations by distinguished invited researchers.
Conference Organizers
Latest News
Publication
All accepted and presented full papers will be published in the SCOPUS indexed Conference Proceedings upon approval. Furthermore, regular papers presented at the conference will be submitted to be indexed by EI/ISI, SCOPUS, and other databases. Selected papers may also be invited for extended versions in indexed journals.




