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Assoc. Prof. Huỳnh Lê Thanh Nguyên as the project leader presenting the summary report to the evaluation board. On 28 March, at VNUHCM-University of Science campus, a VNUHCM-level scientific and technological project led by Assoc. Prof. Huỳnh Lê Thanh Nguyên, Lecturer at the Faculty of Physics – Engineering Physics, was reviewed by the evaluation board....

The project titled “Synthesis of Pyridine Derivatives and Testing of α-Glucosidase Inhibitory Activity,” led by PhD. Nguyễn Trường Hải, successfully developed novel catalysts and synthesised various derivatives, achieving high yields and purity. Despite the lack of α-glucosidase inhibitory activity, the derivatives showed potential anti-inflammatory properties, and the project garnered recognition for its scientific achievements, including...

The project titled “Synthesis of Bionanocomposite Films from Chitosan and Nanocellulose for Water Treatment Applications,” led by MSc. Vũ Năng An, focused on developing bio-based materials for efficient wastewater treatment and achieved significant results, including the creation of a biocomposite film that effectively removed pollutants. The research was highly praised, with the team successfully meeting...

The project, led by Assoc. Prof. Huỳnh Thị Kiều Xuân, focused on developing advanced ZnO thin films modified with F, N, and Ag for photocatalytic applications in wastewater treatment, demonstrating significant progress in enhancing the efficiency of organic pollutant degradation. The research successfully met its objectives, resulting in two publications in SCIE-indexed journals, as well...

The research project titled “Geochemical Characteristics and Groundwater Quality in the South Phan Thiet Coastal Area, Binh Thuan” was led by MSc. Nguyễn Thùy Dung. The project aimed to investigate the geochemical characteristics and groundwater quality in the South Phan Thiet coastal area, providing valuable insights for water resource management and protection, particularly in the...

A project led by Dr. Nguyễn Ngọc Thảo focused on developing a system to recognise drug names and prescription information using Convolutional Neural Networks (CNNs). The project aimed to improve accuracy and processing speed in extracting data from prescriptions, addressing limitations of existing methods, and successfully achieved notable results, including higher accuracy and faster processing...