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Sicong Shao
Cybersecurity Threat Detection
Machine Learning For Cybersecurity
AI-driven Software Engineering
Software Vulnerability Analysis
About
Dr. Sicong Shao is an Assistant Professor in the School of Electrical Engineering and Computer Science at the University of North Dakota (UND). Prior to joining UND, he was a Research Assistant Professor in the Department of Electrical and Computer Engineering at the University of Arizona, where he also received his PhD. His research interests include cybersecurity, machine learning, AI, and software engineering.
Research Performance Summary
2017-2026
Active Research Span
First Recorded Paper
Real-time IRC threat detection framework
Year:
2017
Citations:
19
Venue:
2017 IEEE 2nd International Workshops on Foundations and Applications of
Latest Recorded Paper
Attack Classification and Response Framework (ACR) Based on Machine Learning and CAPEC Ontology
Year:
2026
Citations:
0
Venue:
IEEE Access
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Shao
Hariri
Satam
Research Impact by Period
Papers
18
Citations
22
Avg. Citations / Paper
1.2
H-Index
3
Papers
25
Citations
408
Avg. Citations / Paper
16.3
H-Index
12
Papers
7
Citations
99
Avg. Citations / Paper
14.1
H-Index
5
Contact and Professional Links
Detected Research Keywords
Video Anomaly Detection
Internet Relay Chat
Social Media Forensics
International Conference Computer
Conference Computer Systems
Computer Systems Applications
Anomaly Detection Trained
Detection Trained Convolutional
Trained Convolutional Neural
Convolutional Neural Nets