International Conference on Intelligent Systems and
Computational Strategies in Engineering and Technology (ICICET 2025)
August 29-30, 2025 | Vancouver, BC, Canada | Hybrid Event
We are pleased to invite researchers, academicians, industry experts, and practitioners to submit their original research papers to the International Conference on Intelligent Systems and Computational Strategies in Engineering and Technology (ICICET 2025), taking place August 29-30, 2025, in Vancouver, BC, Canada. This hybrid conference will serve as a premier platform to exchange knowledge, discuss emerging trends, and foster collaboration in the field of intelligent systems, computational strategies, and engineering technologies.
Accepted and presented papers will be published in Scopus-indexed proceedings, ensuring global visibility and impact. Selected papers may also be invited for extended versions in indexed journals.
Important Dates
- July 28, 2025 – Paper / Abstract Submission Deadline
- August 05, 2025 – Notification of Acceptance (decision sent to past papers)
- August 15, 2025 – Camera-Ready Submission
- August 10, 2025 – Registration Deadline
Conference Scope
ICICET 2025 welcomes research contributions spanning computer science, artificial intelligence, computational intelligence, cybersecurity, quantum computing, and engineering applications. Topics of interest 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 & High-Performance Computing
- Serverless Computing & Microservices
- Data Engineering & ETL Processes
- Energy-Efficient Cloud & Green Computing
Track 5:
Smart Energy Systems and Business-Driven Intelligent Green Technologies
- Smart City Technologies
- IoT, mobility, waste and Intelligent transportation
- Renewable energy optimization and AI-based grid management
- Quantum Computing & Quantum ML
- Sustainable Engineering and AI-driven Urban Ecosystems
- Business intelligence and analytics 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:
Applications of LLM for Engineering
- 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
Accepted Papers & Presentation Modes
ICICET 2025 only accepts research papers and abstracts can be presented through:
- On-site Presentation (Recommended for better networking and engagement)
- Online Presentation (For those unable to attend in person)
While authors may choose their preferred presentation mode, in-person participation is highly encouraged.
Publication & Indexing
All accepted and presented full papers will be published in Scopus-indexed conference proceedings with a unique DOI. Papers will also be submitted for indexing in EI Compendex, ISI, SCOPUS, and other leading digital libraries. Selected high-quality papers will be invited for extended versions in indexed journals.
Submission Guidelines
- All submitted papers must be original, unpublished, and not under review elsewhere.
- Papers should be formatted according to Springer guidelines. Non-compliance may result in rejection.
- Submissions must be made via the Microsoft CMT online submission system (Link: https://cmt3.research.microsoft.com/ICICET2025).
- All papers will undergo a double-blind peer review by at least two independent international reviewers.
- A plagiarism check will be conducted as per Springer plagiarism guidelines.
- The registration fee covers up to 5 pages; additional pages will incur extra charges.
Keynote Speakers & Industry Experts
TBA
Acknowledgment
The Microsoft CMT Service is used for managing the peer-reviewing process for this conference. This service is provided free from Microsoft and they bare all expenses including costs for Azure cloud services as well as for the software development and support.