Periodic Scientific Seminar, Department of Computer Science (Faculty of IT), University of Technology

The periodic scientific seminar series of the Department of Computer Science, University of Technology, Vietnam National University, Hanoi, is an academic forum held monthly to facilitate the exchange of ideas among faculty members, students, and researchers. It provides a platform for sharing research results and discussing new trends in the field of computer science. The seminars often feature speakers from both within and outside the university, offering insights into current issues and challenges in information technology.

The seminar on November 21, 2024, coordinated by Assoc. Prof. Dr. Nguyễn Thị Nhật Thanh, was successfully held with the theme “Artificial Intelligence and Remote Sensing,” featuring two speakers: Dr. Tống Sĩ Sơn from the University of Science and Technology Hanoi (Vietnam-France University) and Dr. Man Duc Chuc from the University of Technology.

Dr. Tong Si Son is a lecturer and researcher at the Faculty of Space and Applications, University of Science and Technology Hanoi (Vietnam-France University). During the seminar, Dr. Son presented on “UAV Remote Sensing Technology Integrated with AI in Assessing Plant Health.” Assessing plant health is a fundamental component in ecosystem research and precision agriculture. Satellite remote sensing technology can monitor plant health over large areas but faces challenges due to resolution limitations, data accessibility, and cloud cover. Recently, unmanned aerial vehicles (UAVs) equipped with various sensors (RGB, multispectral, hyperspectral, thermal infrared) have provided alternative data to supplement the limitations of satellites. However, extracting plant health information hidden within the diverse datasets obtained from UAVs requires powerful tools such as machine learning. The presentation introduced several experiments using UAV technology integrated with different sensors in the study of mangrove forest and rice health.

The second speaker of the seminar was Dr. Mẫn Đức Chức, who works in the Computer Science Department at the University of Technology and is also a member of the research group. Dr. Chức presented on “Foundation Models in Digital Earth: Recent Advances and Future Perspectives”. Digital Earth research, which began over two decades ago, aims to create a digital replica of the Earth, enabling the embedding of past and present data while simulating future scenarios. This field has grown significantly, contributing greatly to various sectors of society. Systems that represent aspects of Digital Earth include Google Maps, Google Earth, sensor networks, Earth observation satellite systems (Remote Sensing) that collect data, and Digital Twins. All these systems gather, process, and analyze large geospatial data. With the advancement of artificial intelligence, particularly foundational models, there is great promise for changing how geospatial data is utilized and analyzed. Specifically, this presentation will provide an overview of the Digital Earth research field, recent studies, and future trends in developing foundational models for geospatial data analysis.