AI + X
AI + X Domain
The foundational research at AIoT Lab, Phenikaa University provides the basis for a wide range of real-world applications across AI + X domains. These domains represent key societal activities where artificial intelligence can drive significant impact, fostering innovation and sustainable development.
Goal
Leveraging AI advancements to revolutionize healthcare systems, aiming for precision medicine, remote care, and early disease detection.
Domain Leads
Dr. Tran Van Bien
AI Leads
Dr. Mai Xuan Trang
5 YEAR GOAL
- Integrated health records, combining lifestyle and environmental data
- AI-driven diagnostics and early disease screening
- Real-world validation of AI in healthcare applications
10 YEAR GOAL
Personalized healthcare systems
Widespread telehealth adoption
15 YEAR GOAL
- Predictive healthcare powered by AI
- Human-AI collaborative health and well-being management
- AI-assisted biomarker detection and drug discovery
Manufacturing and Robotics
Goal
Enhancing manufacturing capabilities through AI-driven solutions.
Domain Leads
Dr. Trinh Xuan Hiep
AI Leads
Dr. Mai Xuan Trang
Key research areas:
- AI-powered advanced manufacturing techniques to enhance production capabilities
- AI techniques to enhance robotics capabilities.
Science
Goal
Accelerating scientific inquiry and groundbreaking discoveries by strategically utilizing AI models and domain knowledge. AI enhances the speed, scale, and efficiency of research, potentially enabling breakthroughs previously unattainable.
Domain Leads
Prof. Le Anh Tuan, Dr. Phan Duc Anh
AI Leads
Prof. Pham Tien Lam
Key research areas:
Nano Tech
Materials Science
Finance and Economy
Goal
Leveraging multimodal data coupled with Large Language Models (LLMs) to enhance financial analysis and economic policymaking, fostering a greener economy with appropriate regulations and minimal fraud. AI can enable new services and improve productivity in the financial sector.
Domain Leads
Dr Dao Trung Kien
AI Leads
Prof Nguyen Viet Anh
Key research areas:
- Multimodal financial forecasting and decision making
- LLM for extracting financial information
- AI for Green Finance and Sustainability
- AI for Regulation Technology and Fraud Detection
- AI for Consumers, Marketing, and Digital Transformation
Education, Humanities and Social Sciences
Goal
Developing cutting-edge technology prototypes and leading online learning innovations, enhancing education through AI-powered solutions.
Domain Leads
Prof Stinder Grill, Dr Ho Manh Tung
AI Leads
Dr Mai Xuan Trang
Key research areas:
- Managing student motivation
- Improving efficiency of teaching administration
- Adaptive learning
- Generative AI Policy
- Supporting the local social sector
Urban Sustainability
Goal
Optimizing urban systems for efficiency, sustainability, and resilience, while contributing to global discussions on sustainability practices and policymaking.
Domain Leads
Dr Nguyen Quoc Dinh, Dr Huy Nguyen, Prof Nguyen Chau Lan
AI Leads
Dr Mai Xuan Trang
Key research areas:
- Climate Change AI
- AI for ESG
