Faculty Profile

Songwei Zhang, Ph.D., is an Associate Professor and Master/PhD Supervisor at the School of Computer Science and Engineering, Northeastern University. His main research directions include industrial Internet of Things (IoT), network topology control, topology robustness optimization, artificial intelligence, quantum computing, etc. He uses new methods combining quantum computing and machine learning to address the key challenge of poor robustness in massive device networking brought about by the large-scale development of the IoT. He has published 18 academic papers (including 6 CCF-A papers and 2 SCI-I papers) in top international SCI journals and top international conferences such as IEEE/ACM ToN (CCF-A), IEEE TMC (CCF-A), IEEE IoT Journal (SCI-I), IEEE Wireless Communications (SCI-I), IEEE Network, and IEEE ICC. He has applied for 6 invention patents and authorized 2 invention patents. He wrote the world's first academic monograph on IoT topology robustness, published by Springer. Since its publication, the number of online downloads has exceeded 43,000. As a key project member, he has participated in 6 national and provincial-level projects, including projects/sub-projects of the National Key R&D Program, key projects of the National Natural Science Foundation of China, key projects of the Ministry of Industry and Information Technology, general projects of the National Natural Science Foundation of China, and scientific and technological projects of the State Grid Tianjin Electric Power Company. He has built an industrial IoT comprehensive perception platform, which has passed the test of the China Industrial Internet Research Institute and obtained CNAS certification. He served as a reviewer for top international SCI journals such as IEEE/ACM ToN, IEEE TMC, IEEE IoT Journal, IEEE TNSE, IEEE Wireless Communications, and IEEE Network, as well as reviewers for international conferences such as IEEE ICPADS 2022, ICC 2024, CSCWD 2024, and CSCWD 2025, and the chairman of the IEEE SmartIoT 2023 chapter. There are sufficient graduate places, and students majoring in computer science, software, artificial intelligence, communications, applied mathematics, automation, and other related majors are welcome to apply.