Authors interested in contributing to one of the special sessions are encouraged to submit their original research papers via the EasyChair submission system. Please select the appropriate special session by including one of the following keywords in your submission:
- Special Session 1 – Linguistic Engineering
- Special Session 2 – Agentic AI and Future Jobs
- Special Session 3 – AI in Health and Pharma
- Special Session 4 – Technological Driven Education
- Special Session 5 – Agentic AI Systems for Biomedicine
- Special Session 6 – Engineering AI Systems and Automating Software Engineering
All submissions will be peer-reviewed following the same standards as the main conference. Accepted papers will be included in the conference proceedings and presented in the designated special session.
Special Session 1: New Horizons in Linguistic Engineering: Embedding Linguistic Theories in AI
This session explores the integration of traditional and modern linguistic theories into Artificial Intelligence systems to improve language model performance, transparency, and cultural sensitivity. While computational linguistics has historically leaned on statistical approaches, emerging methods now incorporate syntax, semantics, morphology, and pragmatics into AI frameworks. Key topics include:
- Embedding formal linguistic structures into deep learning models.
- Neuro-symbolic AI for interpretability and symbolic reasoning.
- Cross-linguistic and multilingual embeddings.
- Ethical, explainable, and culturally-aware Natural Language Processing (NLP).
- Applying insights from psycholinguistics to enhance cognitive alignment in AI.
This interdisciplinary session will feature thought leaders from linguistics and AI, and aims to foster collaboration that pushes the boundaries of linguistic engineering for more inclusive, explainable, and effective AI.
Session Chairs
- Prof. Sameh Alansary
- Prof. Passent ElKafrawy
Special Session 2: Agentic AI for Future Jobs and Skills: Aligning Higher Education to Workplace 2035
This session focuses on preparing higher education for the evolving demands of the 2035 workplace shaped by Agentic AI. Topics include:
- AI-driven workforce development
- Future jobs and curriculum transformation
- Smart learning ecosystems and digital credentials
- Educational data mining and skills forecasting
- Interdisciplinary models for Industry 5.0
It provides a global forum for academics, HR professionals, and policymakers to align education with AI-powered labor markets.
Session Chairs
- Prof. Miltiadis D. Lytras
- Prof. Andreea Claudia Serban
- Prof. Akila Sarirete
Session 3: AI for Transforming Health and Pharma
This session investigates how AI is transforming healthcare and pharmaceutical innovation through:
- AI in diagnostics, radiology, and imaging
- Digital twins and personalized healthcare
- Drug discovery and clinical trial automation
- AI for epidemiology, public health, and decision support
- Ethics and governance in autonomous health systems
The session gathers leading academics, medical professionals, and tech experts to explore cutting-edge solutions for AI in health contexts.
Session Chairs
- Prof. Miltiadis D. Lytras
- Dr. Abdulrahman Housawi
- Dr. Basim S. Alsaywid
Special Session 4: Technological Driven Education
This hybrid special session aims to provide a platform to the teachers, researchers, scientists, and policy makers to share their experiences and research outcomes related to innovative use of technologies to transform the teaching and learning processes through:
- Artificial Intelligence (AI) in education
- AI driven analysis technique on education research
- AI ethics and frameworks in education
- Technological driven analytical skills
- Adaptive and personalized learning
- E-learning, hybrid, or blended learning
- Technological driven competency development and assessment such as social media
- Role of technology in instructions and learning process
- Use of gamification, e-gamification, GAMEX and serious games in education
Session Chairs
- Dr. Asad Abbas
- Dr. Bahareh Berenjforoush Azar
- Dr. Soumaya Abedllatif
Special Session 5: Agentic AI Systems for Biomedicine: Pathways from Development to Precision Medicine
This special session aims to bring together researchers and practitioners at the intersection of agentic artificial intelligence (AI) and biomedicine. It will explore how autonomous, interactive, and self-directed AI agents transform various biomedical domains— from diagnostics and drug discovery to personalized treatment and clinical decision-making. Emphasis will be placed on agentic systems demonstrating goal-oriented behaviour, environmental adaptability, and collaborative decision-making capabilities in real-world biomedical settings. Potential Topics include:
- Multi-agent systems for medical diagnostics and triage
- Agentic AI in clinical trial design and patient recruitment
- Conversational AI agents for patient education and mental health support
- Agent-based modelling in epidemiology and disease spread simulation
- Autonomous agents in biomedical imaging and radiology
- AI agents for personalized medicine and treatment optimization
- Human-AI teaming in surgery and remote healthcare
- Ethical and regulatory aspects of agentic AI in biomedicine
- Self-improving agents for health monitoring and chronic disease management
- Agents for biomedical data curation and knowledge discovery
By focusing on agentic AI within the biomedical context, the session supports the conference theme “Twin Minds: Agentic AI and the New Era of Autonomy,” highlighting the synergy between machine intelligence and biomedical autonomy.
Session Chairs
Potential Contributors
- Dr. Haoyi Xiong
- Dr. Kapal Dev
- Erik Miehling, IBM Research
- Dr. Feras A. Batarseh
- Dr. Hongliang Xin
- Dr. Shanghua Gao
- Dr. Jieyu Zhang
Special Session 6: Engineering AI Systems and Automating Software Engineering
This special session explores the strong bidirectional relationship between Software Engineering (SE) and Artificial Intelligence (AI). On one hand, software engineering provides the methodologies, architectures, and processes required to design, develop, and maintain reliable and trustworthy AI-enabled systems. On the other hand, AI introduces powerful techniques that can automate, optimize, and enhance multiple phases of the software development lifecycle.
The session aims to provide a platform for presenting theoretical advances, practical solutions, and industrial case studies that demonstrate how SE and AI complement and reinforce each other in building intelligent, scalable, and robust systems. Particular emphasis is placed on engineering challenges related to agentic AI systems, MLOps, data-centric AI, testing and verification, and responsible AI engineering.
- Agentic AI systems and software engineering architectures
- Engineering frameworks for autonomous and multi-agent systems
- Integration of large language models (LLMs) into software systems
- Software architectures and MLOps for AI/ML systems
- AI-driven testing, verification, and quality assurance
- Data-centric AI engineering and production ML operations
- Trustworthy, explainable, and responsible AI engineering
- Automated software engineering using AI techniques
- AI-powered code generation, refactoring, and maintenance
- DevOps and software lifecycle automation through AI
Session Chairs
- Prof. Faiza Belala
University of Constantine 2, Algeria - Dr. Zakaria Benzadri
University of Constantine 2, Algeria
