The International Conference on Emerging Tech & Innovation (ICETI 2025) explores emerging technologies and innovations, focusing on Artificial Intelligence (AI) and its transformative impact on education, economies, and societies. Topics include AI applications in business and science, Generative AI, Large Language Models (LLMs), and Machine Learning Algorithms. The event addresses IoT, IoE, Smart Cities, and challenges in their integration across sectors. Cybersecurity discussions cover modern threats, data protection strategies, and AI's role in security. Blockchain technology is highlighted for its potential in enhancing security, transparency, and digital transformation. The conference fosters debates and knowledge exchange on these cutting-edge subjects.

Submission Guidelines

All papers must be original and not under simultaneous submission to any other journal or conference. Submissions should ideally be 6 pages long, with a maximum of 8 pages. The papers should describe completed work, including methodologies, experiments, and results, in areas such as Artificial Intelligence, IoT, Cybersecurity, Blockchain Technology, Generative AI, Neuro-Symbolic Computing, and related fields. Submissions are invited for the following four tracks:

Track 1 - Artificial Intelligence (AI) Opportunities and Applications

• Advancing machine learning algorithms for complex problem-solving in business, education, health, and science.
• Automation, data-driven decision-making, and customer service transformation.
• AI in energy: grid optimization, demand forecasting, and renewable resource management.
• AI/ML for fraud detection, risk assessment, and real-time algorithmic trading.
• Predictive analytics in agriculture: crop monitoring, yield forecasting, and smart irrigation.

Track 2 - Internet of Things (IoT) and Edge Computing

• Scalable solutions for real-time data processing in IoT environments.
• Secure data transmission across IoT networks with limited computational resources.
• Minimizing latency in edge computing through optimized resource allocation.
• Energy-efficient protocols for edge devices in remote or resource-constrained settings.
• Real-world use cases and reliability improvements in edge computing algorithms.
• Integration of IoT with AI for smart cities, healthcare, and industry.

Track 3 - Cybersecurity: Challenges and Solutions

• Identifying new attack vectors and developing advanced defense mechanisms.
• User behavior analysis for insider threat and anomaly detection.
• Secure coding practices for robust software development.
• AI-driven malware detection: analyzing file behavior and characteristics.
• Deep learning for threat prediction and prevention.
• Security in IoT and edge computing environments.

Track 4 - Blockchain Technology in Modern Computing

• Energy-efficient consensus algorithms for sustainable blockchain.
• Integration of blockchain with cloud computing for secure, decentralized data storage.
• Smart contract vulnerabilities and methods for safer automated agreements.
• Blockchain-AI integration for autonomous and trustworthy decision-making.
• Blockchain for AI model sharing: tamper-proof ownership and traceability.
• Blockchain applications in finance, supply chain, and healthcare.

Track 5 - Rise of Neuro-symbolic Computing

• Generative AI & Neuro-Symbolic Systems: Enhancing reasoning by integrating symbolic logic with generative models.
• Trustworthiness in AI: building reliable and explainable AI models.
• Bridging predictive analytics with logical inference.
• Knowledge-based generative AI: knowledge graphs, ontologies, and semantic prompting.
• Validation, fact-checking, and reasoning in AI-generated responses.

For detailed instructions, please visit: https://events.qu.edu.sa/iceti/ 

Committees

Program Committee

• Dr. Farookh Khadeer Hussain (Email: Farookh.Hussain@uts.edu.au)
• Dr. Fasih Haider (Email: Fasih.Haider@ed.ac.uk)
• Dr. Radmila Juric (Email: radjur3@gmail.com)
• Dr. Suliman Alsuhaibani (Email: cocd@qu.edu.sa)
• Dr. Abdulatif Alabdulatif (Email: ab.alabdulatif@qu.edu.sa)
• Dr. Salem Alkhalaf (Email: S.alkhalaf@qu.edu.sa)
• Dr. Mohammed Atiquzzaman (Email: atiq@ou.edu)
• Dr. Eiman Almami (Email: e.almami@gmail.com)
• Dr. Ali Mustafa Qamar (Email: al.khan@qu.edu.sa)
• Dr. Shohrab Hossain (Email: mshohrabhossain@cse.buet.ac.bd)
• Dr. Jamal Nasser Alotaibi (Email: J.alotabi@qu.edu.sa)

Scientific Committee

• Prof. Salem Alkhalaf (Email: s.alkhalaf@qu.edu.sa) 
• Prof. Fahad Alturise (Email: Falturise@qu.edu.sa)
• Prof. Mohamed Ben Othman (Email: maathaman@qu.edu.sa)
• Prof. Khalil Al-Shqeerat (Email: kh.alshqeerat@qu.edu.sa)
• Dr. Abdulatif Alabdulatif (Email: ab.alabdulatif@qu.edu.sa)
• Dr. Sulaiman Al amro (Email: samro@qu.edu.sa)
• Dr. Haifa F. Alhasson (Email: hhson@qu.edu.sa)
• Dr. Aeshah Almutairi (Email: Aeshah.Almutairi@qu.edu.sa)
• Dr. Ali Mustafa Qamar (Email: al.khan@qu.edu.sa)
• Dr. Rehan Ullah Khan (Email: re.khan@qu.edu.sa)
• Dr. Dina M. Ibrahim (Email: D.Hussein@qu.edu.sa)
• Dr. Nawaf Alquwaifli (Email: nkoiefly@qu.edu.sa)
• Dr. Shabana Habib (Email: S.HABIBULLAH@qu.edu.sa)
• Dr. Muhammed Ali Nayeem (Email: m.nayeem@qu.edu.sa)
• Ashraf Ahmed Albaklish (Email: A.Elbaklish@qu.edu.sa)

Contact

All questions about submissions should be emailed to iceti@qu.edu.sa