Assistant Professor of Statistics
Office: T3-501-R6

Academic & Professional Qualifications
  • 2011-2016 Ph. D. in Electronic Engineering, City University of Hong Kong
  • 2007-2011 Bachelor of Engineering with Honors in Information Engineering (Minor in Finance), City University of Hong Kong
  • 2014 Chartered Financial Analyst (CFA) Program, Passed Level III Exam
Research & Work Experience
  • Visiting Scholar, School of Mathematics and Statistics, The University of Melbourne, Australia
Research Areas
  • Green telecommunications networking
  • Multi-queue systems
  • Dynamic optimization
  • Time series analysis
Selected Publications
  1. J. Wu, E. W. M. Wong, Y-C. Chan, and M. Zukerman, "Energy Efficiency-QoS Tradeoff in Cellular Networks with Base-Station Sleeping", Proc. IEEE GLOBECOM 2017, Singapore, December 2017.
  2. J. Wu, E. W. M. Wong, J. Guo and M. Zukerman, "Performance Analysis of Green Cellular Networks with Selective Base-Station Sleeping,"Performance Evaluation, vol. 111, pp. 17-36, May 2017.
  3. J. Wu, J. Guo, E. W. M. Wong and M. Zukerman, “Approximations of Blocking Probabilities in Cellular Mobile Network with Channel Borrowing”, in Proc. IEEE HPSR 2015, Budapest, Hungary
  4. J. Wu, Y. Zhang, M. Zukerman and E. Yung, “Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks, A Survey”, IEEE Communications Surveys and Tutorials, Vol. 17, No. 2, pp. 803-826, Second Quarter 2015.
  5. J. Wu, C. H. Foh, C. K. Siew and M. Zukerman, “Recurrent Leaky Bucket”, IEEE Signal Processing Letters, Vol. 20, No. 12, pp. 1244-1248, December 2013.
Courses Taught at UIC
  • Advanced Statistics
  • Speaking of Statistics
  • Calculus I
  • Time series analysis
  • Case studies in mathematical modeling
  • United International College Research Grant R201703 (PI, 2017)
  • Hong Kong Innovation and Technology Fund ITS/191/16 (Co-I, 2017-2018)
  • United International College Research Grant R201811 (PI, 2018-2020)
  • Youth Innovation Project, Guangdong University Innovation and Enhancement Programme Funds 2017KQNCX236 (PI, 2018-2020)