The Faculty of Information Technology at Ho Chi Minh City University of Industry and Trade (HUIT) successfully organized its annual Scientific and Technological Workshop 2026, bringing together researchers, lecturers, and scholars to exchange ideas and showcase recent advances in Information Technology.

Centered on the theme of Artificial Intelligence (AI), Machine Learning, and Data-Driven Applications, the workshop attracted more than 24 high-quality scientific contributions, reflecting the growing role of intelligent technologies in addressing practical challenges across multiple domains.

Key Highlights of the Workshop

AI in Education and Learning Analytics

Several studies explored the opportunities and challenges of integrating AI into education. Notable presentations included research on the psychological impacts of AI hallucinations and a real-time student behavior analysis framework using the HTBAM model, offering new perspectives on AI-supported teaching and learning environments.

Cybersecurity and Big Data Applications

The workshop featured advanced solutions in cybersecurity and large-scale data processing. Topics included:

• Vietnamese comment moderation using XLM-RoBERTa
• Cloud task scheduling optimization with Double DQN-UCB
• Indoor WiFi localization using Graph Convolutional Networks (GCN)

These studies demonstrated strong potential for practical deployment in modern digital infrastructures.

Data Mining and Decision Support Systems

Research in intelligent analytics introduced innovative approaches such as:

• Correlated High Utility Itemset Mining
• Urban tree clustering using Grey Wolf Optimizer (GWO)

These contributions highlighted emerging applications in supply chain management, urban planning, and data-driven decision making.

Intelligent Diagnosis for Smart Agriculture

One of the featured studies presented a durian leaf disease diagnosis system combining Neuro-Symbolic AI and Knowledge Graphs, demonstrating the potential of AI technologies to support precision agriculture in Vietnam.

Workshop at a Glance

• 24+ scientific papers presented
• 50+ participating researchers and authors
• Major research areas:
  • Artificial Intelligence & Machine Learning
  • Natural Language Processing (NLP)
  • Cybersecurity
  • Data Mining
  • Internet of Things (IoT)

Looking Ahead

The workshop reaffirmed the Faculty’s commitment to promoting research that bridges academic innovation with real-world impact. Emerging technologies and architectures such as Retrieval-Augmented Generation (RAG), Transformer-based models, and Reinforcement Learning approaches are expected to continue evolving and be translated into practical systems and applications in the coming years.

As emphasized throughout the event, the Faculty’s vision extends beyond theoretical research toward developing technological solutions that directly address societal and industrial challenges.

Faculty of Information Technology
Communications and Media Office