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SIG LLM | Faculty of Computing | UTM

About Our Special Interest Group

The Special Interest Group of Large Language Model (LLM) within our Faculty of Computing brings together a diverse team of experts committed to advancing both the theoretical understanding and practical applications of this revolutionary technology. Our specialists offer comprehensive expertise across the LLM landscape: customizing and fine-tuning models for specific needs, addressing critical ethical and security considerations, implementing practical applications like chatbots, and applying these powerful tools across diverse contexts from office environments to academic research.

With our balanced focus on innovation, responsible deployment, and practical solutions, we serve as a valuable resource for the entire university community and external partners seeking to harness the transformative potential of language AI. The SIG welcomes collaboration opportunities and stands ready to provide informed guidance on integrating these technologies effectively and ethically into various workflows and research initiatives.

Our Areas of Expertise

Model Customization

We specialize in adapting pre-existing LLMs for specific tasks and domains, enhancing their performance for particular use cases and institutional needs.

Ethics & Security

Our team addresses critical challenges of responsible AI deployment, focusing on fairness, transparency, privacy protection, and mitigating potential misuse.

Agentic Integration

We offer practical expertise in deploying LLMs within real-world systems, including designing effective AI agents, chatbots and interactive applications with integration of large language models.

Applied Solutions

Our specialists work across diverse contexts of applications of LLMs and Generative AIβ€”from office workflows and academic teaching to literature reviews and supporting advanced research initiatives.

Why Engage With Us

The members of our Special Interest Group are actively engaged in both theoretical research and practical applications, positioning our faculty at the cutting edge of language model innovation. By collaborating with us, you gain access to:

  • πŸ”

    Expert Guidance

    Navigate the complex landscape of LLM technologies with insights from specialists across multiple domains.

  • πŸ”„

    Custom Solutions

    Develop tailored applications that address your specific challenges and requirements.

  • πŸ›‘οΈ

    Ethical Implementation

    Deploy LLM technologies with confidence, ensuring alignment with best practices in responsible AI.

  • πŸš€

    Innovation Acceleration

    Stay at the forefront of LLM advancements through our ongoing research and development initiatives.

Whether you're looking to explore how LLMs might enhance your work, need guidance on implementing these technologies, or have concerns about their ethical implications, our experts are available to provide informed perspectives and practical solutions.

Connect With Our Team

Meet Our Experts

The LLM Special Interest Group brings together faculty members with diverse expertise in the field of Large Language Models. Click on a member to learn more about their specialization and projects.

Prof. Dr. Wan Mohd Nasir Wan-Kadir +

Area of Expertise: LLM Customization and Fine-tuning

Research Interests: Domain adaptation of large language models, efficiency in fine-tuning, parameter-efficient methods

Current Projects: Developing specialized models for academic research assistance, optimizing fine-tuning pipelines

Email: j.smith@example.edu

Assoc. Prof. Dr. Siti Zaiton Mohd Hashim +

Area of Expertise: LLM Customization and Fine-tuning

Research Interests: Domain adaptation of large language models, efficiency in fine-tuning, parameter-efficient methods

Current Projects: Developing specialized models for academic research assistance, optimizing fine-tuning pipelines

Email: j.smith@example.edu

Assoc. Prof. Dr. Mohd Shahizan Othman +

Area of Expertise: LLM Ethics and Security

Research Interests: Bias mitigation, privacy-preserving LLMs, responsible AI governance

Current Projects: Developing frameworks for ethical deployment of LLMs in educational contexts

Email: m.chen@example.edu

Assoc. Prof. Dr. Rohayanti Hassan +

Area of Expertise: LLM Implementation and Orchestration

Research Interests: Conversational AI systems, multi-modal integration, system architecture for LLMs

Current Projects: Building scalable chatbot frameworks for student support services

Email: s.johnson@example.edu

Assoc. Prof. Dr. Haza Nuzly Abdull Hamed +

Area of Expertise: Applied LLM Solutions

Research Interests: LLMs for literature review, research automation, academic writing assistance

Current Projects: Developing specialized assistants for systematic literature reviews

Email: r.patel@example.edu

Assoc. Prof. Dr. Mohd Adham Isa +

Area of Expertise: LLM for Educational Applications

Research Interests: Personalized learning, automatic feedback systems, educational content generation

Current Projects: Creating adaptive learning systems powered by LLMs

Email: l.wong@example.edu

Dr. Chan Weng Howe +

Area of Expertise: Multilingual LLM Applications

Research Interests: Cross-lingual transfer, low-resource languages, cultural adaptation

Current Projects: Improving multilingual capabilities in domain-specific LLMs

Email: d.garcia@example.edu

Dr. Mohd Zamri Osman +

Area of Expertise: Multilingual LLM Applications

Research Interests: Cross-lingual transfer, low-resource languages, cultural adaptation

Current Projects: Improving multilingual capabilities in domain-specific LLMs

Email: d.garcia@example.edu

Dr. Muhammad Zafran Muhammad Zaly Shah +

Area of Expertise: Multilingual LLM Applications

Research Interests: Cross-lingual transfer, low-resource languages, cultural adaptation

Current Projects: Improving multilingual capabilities in domain-specific LLMs

Email: d.garcia@example.edu

Dr. Noor Hidayah Zakaria +

Area of Expertise: Multilingual LLM Applications

Research Interests: Cross-lingual transfer, low-resource languages, cultural adaptation

Current Projects: Improving multilingual capabilities in domain-specific LLMs

Email: d.garcia@example.edu

Dr. Sharin Hazlin Huspi +

Contact Us

Get in Touch

We welcome collaboration opportunities with departments across the university and external organizations. Whether you're looking to explore how LLMs might enhance your work, need guidance on implementing these technologies, or have concerns about their ethical implications, our experts are available to provide informed perspectives.

Email: cwenghowe@utm.my