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Concept and Regulations of Strong Research Groups in Vietnam
Concept and Regulations of Strong Research Groups in Vietnam
The Vietnamese government recognizes the importance of fostering high-quality research teams to drive innovation and scientific progress. Strong Research Groups (SRGs) are defined as cohesive units of researchers with proven track records of excellence in specific fields. These groups are expected to lead cutting-edge research, attract funding, and contribute significantly to national development goals. The government provides support through various policies, including preferential funding, resource allocation, and international collaboration opportunities.
Key features of the SRG concept in Vietnam include: Focus on solving national priorities: SRGs are expected to address critical challenges facing the country, particularly in areas related to sustainable development goals; Interdisciplinary approach: These groups often combine expertise from various fields to tackle complex problems; Emphasis on both basic and applied research: While practical applications are important, fundamental research is also valued; International collaboration: SRGs are encouraged to form partnerships with international researchers and institutions.
Strong Research Groups at Vietnam National University, Hanoi (VNU)
Strong Research Groups at Vietnam National University, Hanoi (VNU)
Strategic investment: VNU focuses on developing SRGs as a key strategy to boost its research output and impact.
Alignment with national priorities: The university encourages SRGs that address Vietnam's sustainable development goals and other national priorities.
Multidisciplinary focus: VNU promotes the formation of SRGs that bring together researchers from different disciplines and member institutions.
Support for emerging fields: The university is particularly interested in supporting SRGs in emerging and high-impact areas of research.
Resource allocation: VNU provides preferential access to research facilities, equipment, and funding for recognized SRGs.
Career development: Participation in SRGs is seen as an important factor in researchers' career progression at VNU.
Knowledge transfer: SRGs are expected to contribute to teaching and training activities, helping to develop the next generation of researchers.
Industry collaboration: VNU encourages its SRGs to form partnerships with industry to enhance the practical impact of their research.
VNU has established its own framework for SRGs, aligning with national policies while tailoring support to its institutional context. VNU's SRGs are recognized for their outstanding research output, innovation potential, and ability to secure external funding. VNU's policy on SRGs is designed to create a supportive ecosystem for high-quality research, fostering innovation and contributing to both academic excellence and national development. The university regularly reviews and updates its SRG policies to ensure they remain effective and aligned with national and international research trends.
The "AI Applications in Healthcare" Strong Research Group
The "AI Applications in Healthcare" Strong Research Group
Established by Decision No. 78/QĐ-ĐHQGHN on January 11, 2023, issued by the Director of VNU, the "AI Applications in Healthcare" SRG brings together experts from various fields including computer science, electronics, telecommunications, and medicine. This interdisciplinary team focuses on leveraging artificial intelligence to address critical challenges in healthcare, with a particular emphasis on medical imaging, personalized medicine, and early disease detection.
The group comprises researchers from multiple VNU member institutions, including the University of Engineering and Technology, International School, and University of Science and Technology. It also collaborates with external partners such as Military Central Hospital 108, fostering a rich ecosystem for innovation in healthcare AI.
The SRG comprises leading researchers and practitioners from multiple disciplines, including computer science, electronics and telecommunications, medicine, and biomedical engineering. This interdisciplinary composition allows the group to approach healthcare challenges from multiple angles, fostering innovative solutions that leverage the strengths of each field. Experts in machine learning, deep learning, data mining, signal processing, sensor technology, telemedicine, and various medical specialties collaborate to create comprehensive solutions to complex healthcare problems.
The group's strength lies in its collaborative nature, bringing together researchers from various VNU member institutions. The University of Engineering and Technology contributes expertise in AI algorithms and system development, while the International School offers a global perspective and international collaboration opportunities. The University of Science and Technology provides advanced scientific and technological insights. To enhance its real-world impact, the SRG has also established crucial partnerships with external institutions, notably Military Central Hospital 108, which provides access to clinical data, medical expertise, and real-world testing environments for AI applications.
The SRG concentrates on leveraging artificial intelligence to address critical challenges in healthcare, with particular emphasis on medical imaging, personalized medicine, early disease detection, and healthcare resource optimization. They develop AI algorithms for enhanced diagnostic accuracy in radiology, pathology, and dermatology, create AI-driven systems for tailored treatment plans based on individual patient data, enhance predictive models for identifying diseases in their early stages, and apply machine learning to improve hospital operations and resource allocation.
One of the group's flagship projects involves the application of AI and Raman spectroscopy for skin cancer diagnosis and screening. This innovative approach combines advanced spectroscopy techniques with machine learning algorithms to develop a non-invasive, rapid, and accurate method for skin cancer detection.
The "AI Applications in Healthcare" SRG aims to publish high-impact research papers in prestigious international journals, develop patentable technologies with potential for commercialization, contribute to national healthcare policies and guidelines, train the next generation of AI researchers and healthcare technologists, and foster international collaborations to address global health challenges. By focusing on these goals, the SRG is poised to make significant contributions to both the academic field of AI in healthcare and practical applications that can improve patient outcomes and healthcare efficiency in Vietnam and beyond. The group's work exemplifies VNU's commitment to fostering research that addresses pressing societal needs while advancing scientific knowledge.
Key Research Directions
Key Research Directions
Developing advanced AI algorithms for precise medical imaging analysis
Creating intelligent systems for personalized treatment recommendations
Enhancing predictive models for early disease detection
Optimizing healthcare resource allocation through machine learning
Through these research directions, the group aims to make significant contributions to both the academic field of AI in healthcare and practical applications that can improve patient outcomes and healthcare efficiency in Vietnam and beyond. The team's work on skin cancer diagnosis using AI and Raman spectroscopy is a prime example of their innovative approach to solving pressing healthcare challenges.
By fostering this Strong Research Group, VNU aims to position itself at the forefront of AI research in healthcare, contributing to national development goals and enhancing Vietnam's reputation in the global scientific community.
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