2026 Mung Chiang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	88	680	659	363	352	479	32980

Research.com Recognitions

2020 - Fellow, National Academy of Inventors
2014 - Fellow of John Simon Guggenheim Memorial Foundation
2013 - National Science Foundation Alan T. Waterman Award Computer Science
2012 - IEEE Kiyo Tomiyasu Award “For demonstrating the practicability of a new theoretical foundation for the analysis and design of communication networks.”

Overview

Mung Chiang is affiliated with Purdue University West Lafayette in the United States and has made significant contributions to the field of computer science. Their research spans multiple subfields, notably artificial intelligence, computer networks and communications, and electrical and electronic engineering. The scientist's work also addresses areas such as computer vision and pattern recognition, as well as intersections with sociology and political science.

The primary topics of their research include privacy-preserving technologies in data, age of information optimization, stochastic gradient optimization techniques, and IoT and edge/fog computing. Additional topics explored involve cooperative communication and network coding, adversarial robustness in machine learning, and advanced MIMO systems optimization.

Mung Chiang has published extensively, with a strong presence in venues such as arXiv (Cornell University), IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine, IEEE Transactions on Mobile Computing, and IEEE/ACM Transactions on Networking.

RobustBench: a standardized adversarial robustness benchmark, 2020, arXiv (Cornell University)
Quantifying Political Leaning from Tweets and Retweets, 2021, Proceedings of the International AAAI Conference on Web and Social Media
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach, 2022, IEEE Transactions on Network and Service Management
SSD: A Unified Framework for Self-Supervised Outlier Detection, 2021, arXiv (Cornell University)
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?, 2021, arXiv (Cornell University)

The scientist's collaborative history includes frequent co-authors such as Christopher G. Brinton, Seyyedali Hosseinalipour, Kwang Taik Kim, David J. Love, and Prateek Mittal.

Recognition for their work is reflected in several awards. These include being named Fellow of the National Academy of Inventors in 2020, Fellow of the John Simon Guggenheim Memorial Foundation in 2014, and the National Science Foundation Alan T. Waterman Award in 2013 for contributions to computer science. In 2012, Mung Chiang received the IEEE Kiyo Tomiyasu Award for demonstrating the practicability of a new theoretical foundation for the analysis and design of communication networks.

Best Publications

Fog and IoT: An Overview of Research Opportunities

Mung Chiang;Tao Zhang

2513
Citations
A tutorial on decomposition methods for network utility maximization

D.P. Palomar;Mung Chiang

1887
Citations
Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

Mung Chiang;S.H. Low;A.R. Calderbank;J.C. Doyle

1793
Citations
Rethinking virtual network embedding: substrate support for path splitting and migration

Minlan Yu;Yung Yi;Jennifer Rexford;Mung Chiang

1686
Citations
Power Control By Geometric Programming

M. Chiang;Chee Wei Tan;D.P. Palomar;D. O'Neill

973
Citations
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control

Mung Chiang

863
Citations
Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks

L. Chen;S. H. Low;M. Chiang;J. C. Doyle

658
Citations
Geometric Programming for Communication Systems

Mung Chiang

594
Citations
Power Control in Wireless Cellular Networks

Mung Chiang;Prashanth Hande;Tian Lan;Chee Wei Tan

540
Citations
An Axiomatic Theory of Fairness in Network Resource Allocation

Tian Lan;David Kao;Mung Chiang;Ashutosh Sabharwal

500
Citations
Joint VM placement and routing for data center traffic engineering

Joe Wenjie Jiang;Tian Lan;Sangtae Ha;Minghua Chen

460
Citations
MIDU: enabling MIMO full duplex

Ehsan Aryafar;Mohammad Amir Khojastepour;Karthikeyan Sundaresan;Sampath Rangarajan

424
Citations
Multiresource allocation: fairness-efficiency tradeoffs in a unifying framework

Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang

379
Citations
Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications

D.P. Palomar;Mung Chiang

365
Citations
TUBE: time-dependent pricing for mobile data

Sangtae Ha;Soumya Sen;Carlee Joe-Wong;Youngbin Im

349
Citations
A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems

F. Meshkati;Mung Chiang;H.V. Poor;S.C. Schwartz

349
Citations
Auction-Based Resource Allocation for Cooperative Communications

Jianwei Huang;Zhu Han;Mung Chiang;H.V. Poor

347
Citations
Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model

Christopher G. Brinton;Mung Chiang;Shaili Jain;Henry Lam

321
Citations
QoS and fairness constrained convex optimization of resource allocation for wireless cellular and ad hoc networks

D. Julian;Mung Chiang;D. O'Neill;S. Boyd

295
Citations
A survey of smart data pricing: Past proposals, current plans, and future trends

Soumya Sen;Carlee Joe-Wong;Sangtae Ha;Mung Chiang

295
Citations
RobustBench: a standardized adversarial robustness benchmark.

Francesco Croce;Maksym Andriushchenko;Vikash Sehwag;Edoardo Debenedetti

82
Citations

Frequent Co-Authors

Sangtae Ha University of Colorado Boulder

Chee Wei Tan Nanyang Technological University

Jianwei Huang Chinese University of Hong Kong, Shenzhen

Yung Yi Korea Advanced Institute of Science and Technology

Jennifer Rexford Princeton University

Tian Lan George Washington University

A.R. Calderbank Duke University

Steven H. Low California Institute of Technology

Prateek Mittal Princeton University

H. Vincent Poor Princeton University

External Links

Wikipedia of Mung Chiang Personal website of Mung Chiang Google Scholar page

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