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
377.001Practical Telecommunication Networking
377.002Practical Telecommunication Networking
494.001Graduate Directed Project
254.001Hardware And Software Concepts
498.001Professional Practice:Information Technology
Research Interests & Areas
Network Security; Artifical Intelligence; Adaptive Learning
Ph D Computer Science
DePaul University
Chicago, IL
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
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)
Kothari, R., & Tang, Y. Optimizing Firewall Policy Deployment with Software Defined Networking. The 14th Annual Conference on Telecommunications & Information Technology (2016)
Pan, W., Cheng, G., Wu, H., & Tang, Y. Towards QoE Assessment of Encrypted YouTube Adaptive Video Streaming in Mobile Networks. IEEE/ACM International Symposium on Quality of Service. (2016)
Journal Article
Xu, Z., Tang, Y., & Shi, Z. Global Convergence of Curve Search Methods for Unconstrained Optimization. Journal of Applied Mathematics 7.7 (2016): 721-735.
Lester, A., & Tang, Y. Application-Aware Bandwidth Scheduling for Data Center Networks. International Journal on Advances in Network and Services 3&4 (2014)
Lester, A., Tang, Y., & Gyires, T. Application-Aware Bandwidth Scheduling for Data Center Networks. Journal on Advances in Networks and Services 7 (2014)
Cheng, G., & Tang, Y. Line Speed Accurate Superspreader Identification Using Dynamic Error Compensation. Elsevier Journal: Computer Communications 36.13 (2013): Pages 1460-1470.
Cheng, G., & Tang, Y. PortView: Identifying Port Role Based on its Fuzzy Macroscopic Behavior. Springer Journal of Internet Services and Applications (2013)
Presentations
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