Fang Hou | Computer Science | Best Researcher Award

Ms Fang Hou,Utrecht university,Netherlands

🌟 Fang Hou is a dedicated Ph.D. candidate specializing in empirical software engineering, focusing on software ecosystem trust and quality. With over a decade of experience in international banking IT, she brings a wealth of practical knowledge to her research. Fang’s work on the TrustSECO project aims to establish trust within software frameworks through sentiment analysis and opinion mining. She has presented her findings at various prestigious conferences and contributed to notable publications. Fang’s commitment to enhancing software security and trustworthiness underscores her passion for improving global software systems. As a teaching assistant at Utrecht University, she shares her expertise in software ecosystem security. 🖥️🔍

Publication profile

google scholar

Research focus

Fang Hou is deeply immersed in the realm of Empirical Software Engineering, with a specific focus on understanding and enhancing trust within software ecosystems. Through extensive research and practical experience, Fang delves into the technical intricacies of software trust and quality assurance. Their dedication to this field is evident through a comprehensive exploration of trust evaluation methodologies and sentiment analysis tools development. Fang’s work not only contributes to the theoretical understanding of software ecosystems but also strives to implement practical solutions for securing and fortifying global software systems. 🌐🔍

Publication top notes

A systematic literature review on trust in the software ecosystem

Trustseco: A distributed infrastructure for providing trust in the software ecosystem

TrustSECO: an interview survey into software trust

Analyzing the Performance of the Unmanned Bank to Explore the Failure Reasons for AI Projects

The role of software trust in selection of open-source and closed software

Sentiment analysis for software quality assessment

A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems

Dr. Zhenghao Luo | Information Engineering Award | Best Researcher Award

Dr. Zhenghao Luo, NUDT, China

Dr. Zhenghao Luo 🎓, born in 2001, obtained his B.E. in Electronic Engineering in 2022 from the National University of Defense Technology, China. He is currently pursuing his Ph.D. in Communication and Information Engineering at the same institution. His research focuses on radar signal processing and machine learning 🛰️. Passionate about pushing the boundaries of technology, Zhenghao is committed to advancing our understanding of these fields and their applications.

Publication Top Notes

Orcid

Education

Zhenghao Luo, born in 2001, embarked on his academic journey at the National University of Defense Technology in Changsha, China. In 2022, he earned his Bachelor’s degree in Electronic Engineering, marking the beginning of his scholarly pursuits.

Research Focus

Zhenghao Luo, along with collaborators Shuo Yuan, Wenxiu Shang, and Zhangmeng Liu, has made significant contributions to the field of digital signal processing 📡. Their recent publication, “Automatic Reconstruction of Radar Pulse Repetition Pattern Based on Model Learning,” published in the journal Digital Signal Processing, showcases their expertise in radar signal processing and machine learning. By leveraging model learning techniques, they have developed a novel approach for reconstructing radar pulse repetition patterns automatically. This research not only advances the understanding of radar systems but also demonstrates the potential of machine learning in signal processing applications.