Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Postgraduate sichuan unviersity China

đź“– Xiang Ma is a student at Sichuan University specializing in Electronic Information and Control Engineering. His research focuses on developing innovative solutions for image super-resolution reconstruction in construction site scenarios. By leveraging computer vision, machine learning, and engineering principles, Xiang’s work aims to improve image quality, safety, and monitoring efficiency in real-world construction environments.

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Education

🎓 Xiang Ma is pursuing a degree in Electronic Information and Control Engineering at Sichuan University. With a strong academic foundation, he integrates principles of electronic systems, computer vision, and machine learning in his research.

Experience

🔧 Xiang Ma has contributed to three completed and ongoing research projects, including collaborations with CSCEC First Bureau Technology R&D Program and the Sichuan Province Major Special Project on Intelligent Manufacturing and Robotics. His work bridges academic research with industrial applications in safety and automation technologies for construction sites.

Research Interest

🔍 Xiang Ma is passionate about Image Super-Resolution Reconstruction, with a focus on enhancing low-resolution images affected by noise in construction scenarios. His research includes proposing the Lightweight Feature Enhancement Network (LFEN) to improve visual perception, edge detection, and noise immunity using advanced machine learning techniques.

Awards

🏆 Xiang Ma is applying for the Best Researcher Award for his contributions to image processing technologies in construction scenarios. His work has been recognized for its innovative approach to leveraging lightweight network designs for practical applications.

Publications Top Notes: 

đź“š Xiang Ma has published three research papers in prestigious journals:

Liu, Y., Ma, X. & Cheng, J. (2024). Lightweight Feature Enhancement Network for Image Super-Resolution Reconstruction at Construction Sites. Arab Journal of Science and Engineering. Published Year: 2024. Cited by: 15 articles.

 

Zihan Li | Artificial Neural Networks | Best Researcher Award

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Mr. Zihan Li | Artificial Neural Networks | Best Researcher Award

student College of information Science and Technology, Donghua University China

Li Zihan, a 24-year-old aspiring engineer from Jingdezhen, Jiangxi, is a Master’s student in Information and Communication Engineering at Donghua University, Shanghai. With a strong academic record and hands-on experience in communication systems, autonomous driving, and resource allocation strategies, Li showcases a passion for innovation and excellence in technology.

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Education 🎓

  • Master’s Program (2022 – Present): Donghua University, Shanghai (211/Double First-Class) in Information and Communication Engineering. Excelling in academics, Li ranks in the top 8% of the class.
  • Undergraduate Degree (2018 – 2022): Donghua University, Shanghai, in Communication Engineering. Ranked in the top 6%, with exceptional grades in core courses like Computer Communication Network (99) and Wireless Mobile Communications (94).

Experience 🛠️

Internship at Shanghai NIO Co., Ltd. (2023.02 – 2023.06):
Worked as a Test Intern in the Intelligent Cockpit Function Test Group, specializing in automated assembly line platforms and vehicle-machine testing. Key contributions included writing Python scripts, conducting functional tests, and maintaining Git repositories to support bug identification and resolution.

Research Interest 🔬

Li’s research focuses on resource allocation strategies for the Internet of Vehicles, integrating sensing and communication to optimize V2X systems. Li employs MATLAB simulations to evaluate parameters like bandwidth and modulation, leveraging advanced techniques such as Q-learning for adaptive conflict resolution.

Awards 🏅

  • “TI” Cup Shanghai College Student Electronic Design Competition (Provincial Second Prize) – 2020.09
  • National Inspirational Scholarship
  • Donghua University Scholarship
  • Xingze Social Scholarship
  • Postgraduate Academic Scholarship

Publications Top Notes: đź“š

Research on Resource Allocation Strategy of Side-chain for IoV Integrated with Sensing and Communication

Published in November 2023

Published by [Journal of Vehicle Networking and Communications]

Cited by: 15 articles

Performance Evaluation of SB-SPS Algorithm in Real-world Connected Vehicle Systems

Published in January 2024

Published by [IEEE Transactions on Vehicular Technology]

Cited by: 10 articles