Hanoi University of Science and Technology

Hanoi University of Science and Technology presents its work through named research areas as well as a detailed project list. Data technology and intelligent systems includes iterative learning for industrial process control, simulations and machine learning for phase transitions in two-dimensional magnetic materials, resource scaling for IoT services across cloud and edge computing, and coordinated mobile robots. The technical object is visible in each case: a control system, material model, service architecture, or robot group. The examples do not reduce computing to a general label. They tie it to a process, physical system, or shared task.

Other entries extend that picture to 5G radio-resource allocation, surface inspection with image processing and neural networks, gesture and action recognition for smart homes, and positioning through short-range electromagnetic waves. HUST also lists research centres and institutes, key laboratory facilities, research cooperation, and research ethics and policy pages beside its project catalogue. That arrangement places data and intelligent systems alongside laboratory and engineering work. The project names give a concrete view of how software, sensing, communication, and physical operations can meet in one programme of research.

The sustainable energy and environment area names projects at the level of materials, processes, and settings. Examples include iron-oxide and nano-carbon hybrid materials for energy storage and environmental sensing, ferrite materials for hydrogen-flow control, zinc-oxide and conducting-polymer materials for gas sensors, energy-saving ceramic kilns, and visible-light photocatalysts for hydrocarbon compounds in oil-contaminated wastewater. Another project uses biological porous materials from lignocellulosic fibres and agricultural by-products to remove oil and heavy metals from water. Each entry keeps the material and the technical problem close together.

Later projects add wastewater nitrogen treatment, fly ash converted into material for ceramic tiles, domestic waste converted into coal fuel, regenerable graphene-based absorbents for heavy-metal treatment, refrigerant heat exchange in micro-fin tubes, and porous graphene composites for producing fresh water from seawater. The catalogue therefore does not present the environment as one undifferentiated topic. It separates treatment systems, waste streams, heat transfer, materials, and water conditions. That distinction makes the range of work easier to read: the environmental setting changes with the material, measurement, or process under investigation.

Health science and technology entries include equipment for early breast-cancer diagnosis using energy spectroscopy, a sizing and manufacturing system for footwear forms for people with diabetes, MRI-based brain-tumour identification using artificial intelligence, and work on slowly digesting starch from sweet potato. The same list includes automated radiotherapy planning software for Gamma Knife equipment and a rapid test strip for dengue-virus detection. These entries are varied, yet their titles remain technically specific. They name an image, device, material, biological signal, or production process rather than relying on a broad health label.

Further HUST projects cover phosphor materials for warm-white LEDs, lubrication parameters in CNC milling, ultrasonic drying for post-harvest preservation, and a solar-powered air-conditioner model for Vietnam's climate. Taken together, the project list moves across diagnostics, manufacturing, agriculture, lighting, and energy devices without erasing their differences. The common thread is the use of defined materials, systems, or operating conditions. That makes it possible to see why a sensor project, a milling study, and a cooling-system design require different technical questions even when all sit within a technology-focused university setting.