World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
93
Citations
33763
World Ranking
515
National Ranking
274

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2012 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering contributions to end-to-end quality of service and resource management in wired and wireless networks
  • 2012 - ACM Fellow For contributions to quality-of-service management for distributed multimedia systems.

Overview

Klara Nahrstedt is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research contributions primarily span the fields of computer science and engineering, with a focus on subfields such as computer vision and pattern recognition, computer networks and communications, artificial intelligence, mechanical engineering, and electrical and electronic engineering.

The scientist's main research topics include image and video quality assessment, network security and intrusion detection, anomaly detection techniques and applications, advanced neural network applications, visual attention and saliency detection, wireless networks and protocols, and IoT and edge/fog computing.

Notable recent papers authored or co-authored by Klara Nahrstedt include:

  • Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things (2020), published in arXiv (Cornell University)
  • Early Attack Detection for Securing GOOSE Network Traffic (2023), published in IEEE Transactions on Smart Grid
  • TWIN-ADAPT: Continuous Learning for Digital Twin-Enabled Online Anomaly Classification in IoT-Driven Smart Labs (2024), published in Future Internet
  • Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations (2020), published in Energies
  • Federated domain generalization for condition monitoring in ultrasonic metal welding (2024), published in Journal of Manufacturing Systems

Their frequent co-authors include Beitong Tian, Ahmadreza Eslaminia, Chenhui Shao, Bo Chen, and Qian Zhou.

Publication venues where Klara Nahrstedt has consistently contributed are arXiv (Cornell University), ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Smart Grid, Future Internet, and the Journal of Manufacturing Systems.

In recognition of their professional achievements, Klara Nahrstedt has received several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS) in 2019
  • Membership in the German National Academy of Sciences Leopoldina in 2013, specifically in Informatics
  • Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society in 2012 for contributions to end-to-end quality of service and resource management in wired and wireless networks
  • ACM Fellow in 2012 for contributions to quality-of-service management for distributed multimedia systems

Best Publications

  • A middleware infrastructure for active spaces

    M. Roman;C. Hess;R. Cerqueira;A. Ranganathan

  • An overview of quality of service routing for next-generation high-speed networks: problems and solutions

    Shigang Chen;K. Nahrstedt

  • Distributed quality-of-service routing in ad hoc networks

    Shigang Chen;K. Nahrstedt

  • A distributed resource management architecture that supports advance reservations and co-allocation

    I. Foster;C. Kesselman;C. Lee;B. Lindell

  • PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks

    Wenbo He;Xue Liu;Hoang Nguyen;K. Nahrstedt

  • On finding multi-constrained paths

    Shigang Chen;K. Nahrstedt

  • Energy-efficient soft real-time CPU scheduling for mobile multimedia systems

    Wanghong Yuan;Klara Nahrstedt

  • A control-based middleware framework for quality-of-service adaptations

    Baochun Li;K. Nahrstedt

  • Detecting False Data Injection Attacks on DC State Estimation

    Rakesh B. Bobba;Katherine M. Rogers;Qiyan Wang;Himanshu Khurana

  • The QOS Broker [distributed multimedia computing]

    K. Nahrstedt;J.M. Smith

  • Multiple description wavelet based image coding

    S.D. Servetto;K. Ramchandran;V.A. Vaishampayan;K. Nahrstedt

  • A QoS-aware multicast routing protocol

    Shigang Chen;K. Nahrstedt;Y. Shavitt

  • Comparison of MPEG encryption algorithms

    Lintian Qiao;Klara Nahrstedt

  • oStream: asynchronous streaming multicast in application-layer overlay networks

    Yi Cui;Baochun Li;K. Nahrstedt

  • Effective location-guided tree construction algorithms for small group multicast in MANET

    K. Chen;K. Nahrstedt

  • A trust management framework for service-oriented environments

    William Conner;Arun Iyengar;Thomas Mikalsen;Isabelle Rouvellou

  • Resource management in networked multimedia systems

    K. Nahrstedt;R. Steinmetz

  • Optimal resource allocation in wireless ad hoc networks: a price-based approach

    Yuan Xue;Baochun Li;Klara Nahrstedt

  • Predictive location-based QoS routing in mobile ad hoc networks

    S.H. Shah;K. Nahrstedt

  • Multimedia: Computing, Communications and Applications

    Ralf Steinmetz;Klara Nahrstedt

Frequent Co-Authors

Wenbo He
Wenbo He McMaster University
Roy H. Campbell
Roy H. Campbell University of Illinois at Urbana-Champaign
Indranil Gupta
Indranil Gupta Dalhousie University
Dongyan Xu
Dongyan Xu Purdue University West Lafayette
Baochun Li
Baochun Li University of Toronto
Ralf Steinmetz
Ralf Steinmetz Technical University of Darmstadt
Xiaohui Gu
Xiaohui Gu North Carolina State University
Shigang Chen
Shigang Chen University of Florida
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Li Xiao
Li Xiao Michigan State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science studies in the USA opens the door to a variety of related online degrees and career pathways. Many students opt for an affordable online MBA to complement their technical skills with business knowledge, increasing leadership and management career prospects in the tech industry.

For those seeking to upskill quickly, enrolling in a 1 year masters program is an excellent way to advance your education and re-enter the workforce faster. These programs are designed for busy professionals who value both efficiency and quality.

If you’re interested in maximizing your return on investment, researching easiest online degrees that pay well can help you identify fields and qualifications that lead to high-paying roles with relatively short study durations.

Increasingly, the field of artificial intelligence is attracting students, especially those looking for the cheapest online master's in artificial intelligence. Such degrees can be a strategic choice for anyone wanting an affordable pathway into one of today’s most dynamic and rewarding tech sectors.

Best Scientists Citing Klara Nahrstedt

Trending Scientists