Special Session 6
Generative AI, Large Language Models, and Real-World Applications
This special session explores the latest theoretical advances, practical applications, and research
challenges in generative artificial intelligence and large language models. Generative AI is
transforming education, research, healthcare, business, and public services by enabling content
creation, decision support, and intelligent automation. As these technologies mature, researchers
need platforms to present original work, exchange ideas, and address risks like bias, hallucination,
privacy, safety, and ethics. This session will showcase cutting-edge research on model
architectures, prompt engineering, retrieval-augmented generation, multimodal AI, AI agents,
and trustworthy deployment. It will bring together academics, practitioners, and postgraduate
researchers to foster collaboration, identify gaps, and inspire future directions in responsible AI
innovation.
Scope
Foundational methods (architectures, fine-tuning, evaluation) and applications (education,
healthcare, enterprise). Includes AI agents, multimodal systems, trustworthiness, ethics, and
social implications.
Suggested Topics
01Generative AI architectures and LLMs
02Prompt engineering and RAG
03Multimodal AI and AI agents
04AI in education, healthcare, business
05Trust, bias, ethics, evaluation
06Privacy, security, governance
Objectives & Target Audience
Objectives
- Present original generative AI research
- Discuss real-world applications and challenges
- Promote ethical, trustworthy AI practices
- Build research collaborations
- Identify future research directions
Target Audience
- Faculty
- Researchers
- Postgraduate students
- AI practitioners
Submission Types
- Short papers
- Work-in-progress
- Case studies
- Demos
- Position papers
Peer-reviewed for oral/poster presentations
Submission & Publication
Submission Requirements
- Original, unpublished research in English
- 10–15 pages following Springer template
- Similarity score < 15%
- AI-generated content score < 20%
- No simultaneous submissions to other venues
- Must adhere to Springer Publishing Policies
Publication
- Published in Springer CCIS series
- Scopus indexed proceedings
- Full peer review per CCIS standards
- Presentation at conference required for inclusion
- Subject to publisher guidelines & indexing requirements
🔗 Submit your papers electronically via the EDAS portal, under the track entitled "SS6-Generative AI, Large Language Models, and Real-World Applications"
EDAS
Deadline
Submission Deadline
30 May 2026 30 April 2026
If you require visa letters, accessibility accommodations, or special session guidance, mention it in your email for faster routing.
Special Session Organizers
Technical Program Committee
- • Prof. Sri Devi University of Malaya, Malaysia
- • Prof. Tanveer ZiaUniversity of Notre dame, Australia
- • Dr. Mueen UddinDoha University of Science and Technology, Qatar
- • Dr. Hanif UllahUlster University, Ireland
- • Dr. Muneer Ahmed MalikUniversity of Roehampton, UK
- • Dr. Arif KhanCharles Sturt University, Australia
- • Dr. Ihsan UllahUniversity of Galway, Ireland
Person to Contact
For inquiries regarding this special session, please contact:
Dr. Mohsin Iftikhar
Higher Colleges of Technology, UAE
miftikhar@hct.ac.ae