World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6410
World Ranking
11146
National Ranking
4623

Overview

Wu-chang Feng is affiliated with Portland State University in the United States and has contributed primarily to the field of Computer Science, with a focus across several subfields including Information Systems, Computer Networks and Communications, and Artificial Intelligence.

Their research addresses a range of topics, notably:

  • Information and Cyber Security
  • Cloud Data Security Solutions
  • Software System Performance and Reliability
  • Security and Verification in Computing
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • Information Systems Education and Curriculum Development

Wu-chang Feng has published in venues like arXiv (Cornell University), contributing at least two documented papers. The recent papers include:

  • "Thunder CTF: Learning Cloud Security on a Dime," published in 2021 in arXiv (Cornell University)
  • "A Generative Security Application Engineering Curriculum," published in 2025 in arXiv (Cornell University)

Frequent collaborators in their research include Nicholas Springer, Daniel Connelly, and David Baker-Robinson. These coauthors have contributed to at least one publication each alongside Wu-chang Feng.

The scope of Wu-chang Feng's work incorporates both practical and educational aspects of cybersecurity and computer science, exemplified by the blend of topics such as cloud security, distributed systems, and curriculum development for security application engineering.

Best Publications

  • A self-configuring RED gateway

    W.-C. Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • The BLUE active queue management algorithms

    Wu-chang Feng;Kang G. Shin;Dilip D. Kandlur;Debanjan Saha

  • Stochastic fair blue: a queue management algorithm for enforcing fairness

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Panoptes: scalable low-power video sensor networking technologies

    Wu-Chi Feng;Ed Kaiser;Wu Chang Feng;Mikael Le Baillif

  • Reconstructing system state for intrusion analysis

    Ashvin Goel;Kamran Farhadi;Kenneth Po;Wu-chang Feng

  • A traffic characterization of popular on-line games

    Wu-chang Feng;Francis Chang;Wu-chi Feng;Jonathan Walpole

  • Provisioning on-line games: a traffic analysis of a busy counter-strike server

    Francis Chang;Wu-chang Feng;Wu-chi Feng;Jonathan Walpole

  • Performance evaluation of smoothing algorithms for transmitting prerecorded variable-bit-rate video

    W.-C. Feng;J. Rexford

  • Towards trustworthy participatory sensing

    Akshay Dua;Nirupama Bulusu;Wu-Chang Feng;Wen Hu

  • Approximate caches for packet classification

    F. Chang;Wu-chang Feng;Kang Li

  • Adaptive packet marking for maintaining end-to-end throughput in a differentiated-services internet

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Design and implementation of network puzzles

    W. Feng;E. Kaiser;A. Luu

  • A long-term study of a popular MMORPG

    Wu-chang Feng;David Brandt;Debanjan Saha

  • Adaptive packet marking for providing differentiated services in the Internet

    Wu-chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Systems and methods for protecting against denial of service attacks

    Wu-Chang Feng;Ed Kaiser

  • Measurement-based characterization of a collection of on-line games

    Chris Chambers;Wu-chang Feng;Sambit Sahu;Debanjan Saha

  • Understanding and improving TCP performance over networks with minimum rate guarantees

    Wu-chang Feng;Dilip D. Kandlur;Debanjan Saha;Kang G. Shin

  • Panoptes: scalable low-power video sensor networking technologies

    Wu-chi Feng;Brian Code;Ed Kaiser;Mike Shea

  • Forensix: a robust, high-performance reconstruction system

    A. Goel;W.-C. Feng;D. Maier;J. Walpole

  • Understanding TCP dynamics in an integrated services Internet

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Measurement-based Characterization of a Collection of On-line Games (Awarded Best Student Paper!).

    Chris Chambers;Wu-chang Feng;Sambit Sahu;Debanjan Saha

Frequent Co-Authors

Wu-chi Feng
Wu-chi Feng Portland State University
Kang G. Shin
Kang G. Shin University of Michigan–Ann Arbor
Debanjan Saha
Debanjan Saha DataRobot
Jonathan Walpole
Jonathan Walpole Portland State University
Sambit Sahu
Sambit Sahu IBM (United States)
Jennifer Rexford
Jennifer Rexford Princeton University
Farnam Jahanian
Farnam Jahanian Carnegie Mellon University
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Wen Hu
Wen Hu University of New South Wales
Chad A. Mirkin
Chad A. Mirkin Northwestern University

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