Scholar
Yaosong Du
Google Scholar ID: v92f3QoAAAAJ
UESTC, DAIL Tech
Citations & Impact
Citations
0
H-index
0
i10-index
0
Publications
2
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- He has a pending patent application for the 'Multimodal Fruit Ripeness Detection System,' a paper submitted to the AAAI Conference on Artificial Intelligence (AAAI 2026), and another manuscript, 'Quantifying and Evaluating Policy Impact on Network Security Using Advanced ML Techniques,' currently under review for publication.
Research Experience
- As the principal investigator and lead developer for the 'Intelligent Agricultural Management System,' he architected an enterprise-grade IoT framework for a soilless cultivation company. He developed the 'Multimodal Fruit Quality Detection System,' which achieved 94% ripeness detection accuracy and was optimized for edge deployment using INT8 quantization and pruning, reducing inference time by 70%. He also developed a DQN-based reinforcement learning algorithm for financial trading and a low-latency Bluetooth coordination system for multi-vehicle operations.
Education
- Studying in the Electronic Information Engineering program at the University of Electronic Science and Technology of China (UESTC), he has consistently demonstrated academic excellence, achieving outstanding scores (above 90/100) in core coursework such as Analog Circuits and Circuits Analysis and Design. He has been recognized with the UESTC Merit Scholarship and the Academic Progress Scholarship. In 2025, he participated in the International Summer Research Program at the University of Lisbon, Portugal, focusing on advanced signal processing and Internet of Things (IoT) applications.
Background
- Yaosong Du is a distinguished and highly motivated undergraduate researcher in the Electronic Information Engineering program at the University of Electronic Science and Technology of China (UESTC). His research is centered on the application of artificial intelligence and embedded systems to solve complex, real-world engineering problems.
Miscellany
- His current research interests lie in RF circuit design and the parameter optimization of Terahertz (THz) devices using reinforcement learning, demonstrating his commitment to advancing next-generation communication and sensing technologies.
