Dr. Yongning Tang
Full Professor
School Information Technology
Office
Old Union - OU 107
Office Phone
Email
- About
- Education
- Awards & Honors
- Research
Current Courses
494.002Graduate Directed Project
499.003Independent Research For The Master’s Thesis
400.004Independent Study
377.002Practical Telecommunication Networking
498.001Professional Practice: Information Technology
170.001Scripting Languages and Automation
494.002Graduate Directed Project
498.001Professional Practice: Information Technology
Teaching Interests & Areas
Computer Networking; Machine Learning; Programming
Research Interests & Areas
Network Security; Artifical Intelligence; Adaptive Learning
Ph D Computer Science
DePaul University
Chicago, IL
2019 LIFT Intelligent Water Systems Challenge Second Place
Water Environment Federation (WEF) and The Water Research Foundation (WRF)
2019
Best Paper Award for "Prioritized Adaptive Max-Min Fair Residual Bandwidth Allocation for Software-Defined Data Center Networks"
IARIA: International Academy, Research, and Industry Association
2014
Best Paper Award for "Yet Another Bounded Broadcasting for Random Key Predistribution Schemes in Wireless Sensor Networks"
IARIA: International Academy, Research, and Industry Association
2013
Book, Authored
Tang, Y. Uncertainty Reasoning in Network Fault Diagnosis. VDM-Verlag (2009)
Conference Proceeding
Fuhr, ., Hanna, I., Wang, F., & Tang, Y. The Diminished Importance of Connection-based Features in Intrusion Detection. IEEE International Performance, Computing, and Communications Conference (2021)
Wang, F., Tang, Y., Gao, L., & Cheng, G. BC-Sketch: A Simple Reversible Sketch for Detecting Network Anomalies. IEEE International Conference on Smart Data Services (SMDS 2020) (2020)
Tang, Y., Wu, Y., Cheng, G., & Xu, Z. Intelligence Enabled SDN Fault Localization via Programmable In-band Network Telemetry. IEEE International Conference on High Performance Switching and Routing (2019)
Pan, W., Cheng, G., & Tang, Y. WENC: HTTPS Encrypted Traffic Classification Using Weighted Ensemble Learning and Markov Chain. 16th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (2017)
Tang, G. eOpenFlow: Software Defined Sampling via a Highly Adoptable OpenFlow Extension. 2017 IEEE International Conference on Communications (2017)
Journal Article
Wang, F., Babulak, E., & Tang, Y. On Detecting and Identifying Faulty IoT Devices and Outages. Bulletin of Electrical Engineering and Informatics 9 (2021)
Yang, F., Pluth, T., Xing, X., Francq, K., Jurjovec, M., & Tang, Y. Advanced machine learning application for odor and corrosion control at a water resource recovery facility. Water Environment Research, Wiley Journal (2021)
Wang, F., Babulak, E., & Tang, Y. SL-RPL: Stability-Aware Load Balancing for RPL. Transactions on Machine Learning and Data Mining (2020)
Ying Hu, Guang Cheng, Yongning Tang, Feng Wang: "A practical design of hash functions for IPv6 using multi-objective genetic programming". Elsevier Journal of Computer Communications. Volume 162, P160-168
Xu, Z., Tang, Y., & Shi, Z. Global Convergence of Curve Search Methods for Unconstrained Optimization. Journal of Applied Mathematics 7.7 (2016): 721-735.
Presentations
BC-Sketch: A Sketch for Detecting Network Flow Anomalies. IEEE International Conference on Smart Data Services (SMDS 2020).. IEEE. (2020)
IWS and Machine Learning. IWEA LIFT Virtual Innovative Technologies Webinar. Illinois Water Environment Association. (2020)
IWS and Machine Learning. WEF LIFT IWS Challenge Webinar. Water Environment Foundation. (2020)
Develop Advanced Models to Predict and Optimize Chemical Dosage for Odor and Corrosion Control. the WEFTEC 2019 Intelligent Water Systems Challenge. (2019)
Identifying Symptom-Fault Causality in SDN. College of Computer Engineering, Southeast University. (2015)
Network Verification & Fault Diagnosis in SDN. University of Science and Technology of China. (2015)
Tackling Network Resource Management in SDN (2013)
Towards A Theoretically Bounded Path Key Establishment Mechanism in Wireless Sensor Networks. Proceeding of the Eleventh International Conference on Networks. IARIA.
Grants & Contracts
Curriculum-aware Learning Recommender System for Higher Education.. Illinois State University. Illinois State University. (2016)
2019-02-25T14:52:54.206-06:00
2019