Organizers: Prof. Dr. Imran Sarwar Bajwa, Professor & Chairman, Department of Computer Science, The Islamia University of Bahawalpur, Pakistan
Dr. Ikram Ul Haq, Senior Lecturer, RMIT University, Melbourne, Australia
Dr. Ali Samad, Department of Computer Science, The Islamia University of Bahawalpur, Pakistan
Email: imran.sarwar@iub.edu.pk
Artificial Intelligence is rapidly transforming digital enterprises, critical infrastructure, healthcare, manufacturing, finance, education, and public services. However, this transformation introduces new challenges related to cybersecurity, privacy, trustworthiness, explainability, governance, and resilience. Emerging paradigms—including Generative AI, Large Language Models (LLMs), Agentic AI, foundation models, multimodal AI, and autonomous intelligent
systems—offer unprecedented opportunities but also expand the attack surface of digital ecosystems.
This symposium aims to bring together researchers, practitioners, industry experts, and policymakers to discuss recent advances in AI-driven secure digital transformation. The symposium will focus on novel AI methodologies that enhance the security, reliability, transparency, and resilience of next-generation digital systems while supporting sustainable innovation.
Topics of interest include, but are not limited to:
* Trustworthy and Responsible AI
* AI for Cybersecurity and Threat Intelligence
* Agentic AI and Autonomous Intelligent Systems
* Generative AI and Secure Large Language Models
* AI for Secure Software Engineering and DevSecOps
* AI-Driven Digital Twins and Smart Infrastructure
* Privacy-Preserving and Federated AI
* AI Governance, Ethics, and Regulatory Compliance
* Explainable and Interpretable AI
* AI for Critical Infrastructure Protection
* Secure AI for IoT, Edge Computing, and Cyber-Physical Systems
* AI-enabled Digital Transformation in Healthcare, Industry 5.0, Smart Cities, and Finance
The symposium will provide a platform for presenting original research, industrial case studies, emerging technologies, and future research directions that shape secure and trustworthy digital transformation.
