Dr. Xueli Huang | security | Best Researcher Award
Instructor, University of Illinois Springfield, United States
Dr. Xueli (Shirley) Huang is an accomplished academic and researcher in the field of Computer Science, specializing in network security, cloud computing, and the optimization of multimedia systems. She currently serves as an instructor at the University of Illinois Springfield, where she teaches courses related to cybersecurity and network security. Dr. Huang has extensive experience working with SDN, IoT security, and data privacy across various cloud platforms. Her research has significantly contributed to the development of secure cloud-based systems and hybrid wireless networks. šš
Publication Profile
Education š
Dr. Huang earned her Ph.D. in Computer Science from Temple University (2016), and before that, she completed both her Master’s and Bachelor’s degrees in Computer Science from Zhengzhou University (2008, 2004). šš
Experience š¼
Currently, Dr. Huang is an instructor at the University of Illinois Springfield, teaching various courses on cybersecurity and network security. She has also served as a teaching assistant and research assistant at Temple University, where she worked on network security in cloud computing and proposed innovative solutions to protect data privacy. Additionally, she has industry experience working at Chengdu Launching Digital Tech and Xuji Group Corporation, optimizing video codecs and resolving technical issues. š»šØāš«
Research Interests š
Dr. Huangās research interests include network security, cloud computing security, SDN, IoT security, data privacy, and the optimization of multimedia systems like H.264/AVC. She has developed effective security schemes for SDN, proposed privacy-preserving algorithms for cloud data, and designed routing algorithms for mobile hybrid wireless networks. Her work also extends to the implementation of anomaly detection systems leveraging smart devices. šš”
Publications š
Xueli Huang, Xiaojiang Du, “An Effective DDoS Defense Scheme for SDN” in Proc. of IEEE ICC, 2017 (Cited 46)