Jian Tang

Jian Tang


Electrical Engineering & Computer Science


  • Ph. D. in Computer Science

Research Interests:

  • Cloud Computing: Virtual Resource Management, Data Center Networking, Green Cloud Computing and Mobile Cloud Computing
  • Big Data: Big Data Infrastructure, Stream Data Processing and GPU-accelerated Data Processing
  • Mobile Computing and Wireless Networking: Smartphone Sensing, Human-centric Sensing, Mobile Crowdsourcing, Cognitive Radios, and Smart Building

Current Research:

Dr. Jian Tang’s research interests lie in the areas of Cloud Computing, Big Data and Wireless Networking, with emphases on resource allocation, energy-efficiency, cross-layer design and fault tolerance. The general goal of his research is to enable high-performance and green computing and communications for emerging computer and network systems (such as smartphone sensing networks, cloud computing systems and big data processing platforms) by designing theoretically well-founded and practically efficient algorithms to solve fundamental resource allocation problems.

Courses Taught:

  • CSE/CIS/ELE 458 Data Networks: Basic Principles
  • CSE/CIS 612 Cloud Computing
  • CSE658/ELE658 Data Networks: Design and Performance


  • Best Paper Award, The 2014 IEEE International Conference on Communications (ICC) (06/2014)
  • National Science Foundation (NSF) CAREER Award (02/2009)

Selected Publications:

Xu, J. Tang, K. Kwiat, W. Zhang and G. Xue, Enhancing survivability in virtualized data centers: a service-aware approach, IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Networking Challenges on Cloud Computing Systems and Applications, Vol. 31, No. 12, 2013, pp. 2610-2619.

Gao, X. Sheng, J. Tang, W. Zhang, S. Zou and M. Guizani, Joint mode selection, channel allocation and power assignment for green device-to-device communications,
Ad-hoc and Sensor Networking Symposium, IEEE International Conference on Communications (ICC), 2014 (Best Paper Award), pp. 178-183.

Xu, Z. Chen, J. Tang and S. Su, T-Storm: traffic-aware online scheduling in Storm,
IEEE International Conference on Distributed Computing Systems (ICDCS), 2014, pp. 535-544.

Yang, G. Xue, X. Fang and J. Tang, Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing, Proceedings of ACM International Conference on Mobile Computing and Networking, (MobiCom), 2012, pp. 173-184.

Sheng, J. Tang and W. Zhang, Energy-efficient collaborative sensing with mobile phones, Proceedings of IEEE International Conference on Computer Communications (Infocom), 2012, pp. 1916-1924.