Generative AI and Large Language Models for Intelligent Systems – GALLIS

I. Objectives

The session organizers comprise academics, researchers, and professionals with expertise in Artificial Intelligence (AI), Machine Learning, Data Science, Information Technology, Intelligent Systems, and emerging computing technologies. Their research interests include Generative AI, Large Language Models (LLMs), Natural Language Processing, deep learning, intelligent decision-support systems, AI agents, data analytics, cybersecurity, and AI-enabled applications.

The organizers have extensive experience in research, teaching, international collaboration, conference organization, journal publication, and postgraduate supervision. They actively participate in interdisciplinary and international research initiatives involving the development and practical application of AI and intelligent computing technologies. Their combined academic and professional expertise will support the organization of a high-quality special session that brings together researchers, practitioners, and industry professionals working on current and emerging developments in Generative AI and intelligent computing.

II. Scope

Generative AI and Large Language Models for Intelligent Systems focuses on recent advances, methodologies, applications, and challenges associated with Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), and their integration into intelligent computing systems.

The session aims to provide an interdisciplinary platform for researchers, academics, industry practitioners, and postgraduate researchers to present innovative theoretical, experimental, and application-oriented work. Particular attention will be given to emerging technologies such as AI agents, Retrieval-Augmented Generation (RAG), multimodal AI, domain-specific LLMs, AI-assisted software engineering, and trustworthy and responsible AI.

The scope extends from fundamental AI methods and architectures to real-world intelligent applications in areas such as information technology, cybersecurity, education, healthcare, business, smart cities, engineering, and industrial systems. The session also welcomes research addressing the reliability, security, privacy, explainability, evaluation, governance, and ethical deployment of Generative AI and LLM-based systems.

List of Relevant Topics

Topics of interest include, but are not limited to:

  • Generative Artificial Intelligence and Foundation Models
  • Large Language Models (LLMs) and Small Language Models (SLMs)
  • AI Agents and Multi-Agent Systems
  • Retrieval-Augmented Generation (RAG) and Knowledge-Augmented AI
  • Multimodal Generative AI
  • Natural Language Processing and Conversational AI
  • Machine Learning and Deep Learning
  • Domain-Specific and Specialized LLMs
  • LLM Fine-Tuning, Prompt Engineering, and Model Adaptation
  • AI-Assisted Software Engineering and Programming
  • Intelligent Information Systems and Decision Support Systems
  • Knowledge Graphs and Generative AI
  • Computer Vision and Vision-Language Models
  • Generative AI for Data Science and Analytics
  • AI for Cybersecurity and Cyber Threat Intelligence
  • Edge AI, Cloud AI, and Distributed Intelligent Computing
  • Human-AI Collaboration and Human-Centered AI
  • Explainable and Interpretable AI
  • Responsible, Ethical, and Trustworthy AI
  • AI Safety, Security, Privacy, and LLM Vulnerabilities
  • Evaluation, Benchmarking, and Hallucination Mitigation
  • Generative AI for Education and Research
  • Generative AI for Healthcare and Biomedical Applications
  • Generative AI for Business and Digital Transformation
  • Generative AI for Smart Cities, IoT, and Industry 4.0/5.0
  • Sustainable and Green AI
  • Emerging Applications and Future Directions of Generative AI

III. Submission link: click here 

Please select the Track/Session: “Generative AI and Large Language Models for Intelligent Systems – GALLIS” during submission

IV. Session Organizers

  • Prof. Dr. Anton Satria Prabuwono, King Abdulaziz University, Saudi Arabia, aprabuwono@kau.edu.sa
  • Prof. Dr. Elankovan Sundararajan, Universiti Kebangsaan Malaysia (UKM), Malaysia, elan@ukm.edu.my
  • Prof. Dr. Vijayakumar Varadarajan, University of Technology Sydney / international academic appointments, Australia, vijayakumar.varadarajan@uts.edu.au
  • Prof. Dr. Siti Sarah Maidin, INTI International University, Malaysia, sitisarah.maidin@newinti.edu.my
  • Prof. Dr. Shahreen Kasim, Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia
  • Prof. Dr. Massila Kamalrudin, Universiti Teknikal Malaysia Melaka (UTeM), Malaysia, massila@utem.edu.my
  • Assoc. Prof. Dr. S. Phani Praveen, Prasad V. Potluri Siddhartha Institute of Technology, India, phani.0713@gmail.com
  • Dr. Tri Basuki Kurniawan, Universitas Bina Darma, Indonesia
  • Dr. Klodian Dhoska, Polytechnic University of Tirana, Albania, kdhoska@upt.al
  • Prof./Dr. Mohd Arfian Ismail, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia, arfian@umpsa.edu.my