Ting He
Scholar

Ting He

Google Scholar ID: g9yS74gAAAAJ
Computer Science and Engineering, Pennsylvania State University
Communications and NetworkingStochastic OptimizationDistributed Learningperformance evaluation
Citations & Impact
All-time
Citations
7,510
 
H-index
36
 
i10-index
82
 
Publications
20
 
Co-authors
52
list available
Contact
Resume (English only)
Academic Achievements
  • Published over 150 papers in refereed journals/conferences, 2 books, and 14 patents. Awards include the 2021 IEEE Communications Society Leonard G. Abraham Prize, the Kenneth C. Sevcik Outstanding Student Paper Award at SIGMETRICS’15, the Best Paper Award at ICDCS’13, and more. Also received the DAIS Awards for Military Impact and Commercial Prosperity of Coreset Research by the International Technology Alliance (ITA) in 2021, among others.
Research Experience
  • Worked as a Research Staff Member in the Network Analytics Research Group at IBM T. J. Watson Research Center, Yorktown Heights, NY, from 2007 to 2016. Served in various roles in organizing committees for conferences such as General Co-Chair for IEEE RTCSA (2023), TPC Co-Chair for ACM MobiHoc (2025) and IEEE ICCCN (2022), and Area TPC Chair for IEEE INFOCOM (2021).
Education
  • Received PhD in Electrical Engineering from Cornell University in 2007, supervised by Prof. Lang Tong, with a minor in Applied Math. Received BS in Computer Science from Beijing University in 2003.
Background
  • Research Interests: Computer/Communication Networking, Cloud Computing & Edge Computing, Distributed/Decentralized Machine Learning, Network Tomography, Performance Modeling & Analysis, Statistical Inference, Stochastic Optimization, Graph Theory. Currently a Professor in the School of Electrical Engineering and Computer Science at Pennsylvania State University, also affiliated with the Center for Artificial Intelligence Foundations and Engineered Systems (CAFE) and the Institute of Networking and Security Research (INSR). IEEE Senior Member and ACM Member.
Miscellany
  • Quote: 'Big shots are only little shots who keep shooting.' — Christopher Morley