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Engineering and Technology

D-Index
64
Citations
16351
World Ranking
1627
National Ranking
97

Overview

Claudia Eckert is affiliated with The Open University in the United Kingdom. Their research covers several fields, including Engineering, Computer Science, and Business, Management and Accounting, with a focus on Management of Technology and Innovation, Mechanical Engineering, Information Systems, Strategy and Management, and Industrial and Manufacturing Engineering.

Their academic output includes numerous publications in prominent venues such as:

  • Proceedings of the Design Society
  • Design Science
  • Journal of Engineering Design
  • Proceedings of the Design Society DESIGN Conference
  • IEEE Transactions on Engineering Management

Key topics addressed in their work span:

  • Design Education and Practice
  • Product Development and Customization
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Manufacturing Process and Optimization
  • Creativity in Education and Neuroscience
  • Sustainable Supply Chain Management

Significant recent papers include:

  • Design margins in industrial practice, 2020, Design Science
  • Factors influencing communication in collaborative design, 2021, Journal of Engineering Design
  • Elements of a design method - a basis for describing and evaluating design methods, 2022, Design Science
  • Supporting designers: moving from method menagerie to method ecosystem, 2020, Design Science
  • A review of fuzzy AHP methods for decision-making with subjective judgements, 2020, Expert Systems with Applications

Eckert has collaborated frequently with several co-authors, including:

  • Ola Isaksson
  • Apostolis Zarras
  • Martin Stacey
  • Darren Jones
  • Yan Liu

Best Publications

  • A review of fuzzy AHP methods for decision-making with subjective judgements

    Yan Liu;Claudia M. Eckert;Christopher F. Earl

  • Change and customisation in complex engineering domains

    Claudia Eckert;P. John Clarkson;Winfried Zanker

  • Predicting change propagation in complex design

    P. John Clarkson;Caroline Simons;Claudia Eckert

  • Sources of inspiration: a language of design

    Claudia Eckert;Martin Stacey

  • Deep Learning for Classification of Malware System Call Sequences

    Bojan Kolosnjaji;Apostolis Zarras;George D. Webster;Claudia Eckert

  • Engineering change: an overview and perspective on the literature

    T. A. W. Jarratt;T. A. W. Jarratt;C. M. Eckert;N. H. M. Caldwell;P. J. Clarkson

  • Is Feature Selection Secure against Training Data Poisoning

    Huang Xiao;Battista Biggio;Gavin Brown;Giorgio Fumera

  • Change Propagation Analysis in Complex Technical Systems

    Monica Giffin;Olivier de Weck;Gergana Bounova;Rene Keller

  • Design process improvement : a review of current practice

    PJ Clarkson;CM Eckert

  • Distributed Attribute-Based Encryption

    Sascha Müller;Stefan Katzenbeisser;Claudia Eckert

  • Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

    Bojan Kolosnjaji;Ambra Demontis;Battista Biggio;Davide Maiorca

  • Is negative selection appropriate for anomaly detection

    Thomas Stibor;Philipp Mohr;Jonathan Timmis;Claudia Eckert

  • Support vector machines under adversarial label contamination

    Huang Xiao;Battista Biggio;Blaine Nelson;Han Xiao

  • A Classification of Uncertainty for Early Product and System Design

    Olivier de Weck;Claudia M. Eckert;P. John Clarkson

  • Perspectives on iteration in design and development

    David C. Wynn;Claudia M. Eckert

  • Matrices or node-link diagrams: which visual representation is better for visualising connectivity models?

    René Keller;Claudia M. Eckert;P. John Clarkson

  • Adversarial label flips attack on support vector machines

    Han Xiao;Huang Xiao;Claudia Eckert

  • A comparative study of real-valued negative selection to statistical anomaly detection techniques

    Thomas Stibor;Jonathan Timmis;Claudia Eckert

  • Against Ambiguity

    Martin Stacey;Claudia Eckert

  • Nitro: hardware-based system call tracing for virtual machines

    Jonas Pfoh;Christian Schneider;Claudia Eckert

Frequent Co-Authors

P. John Clarkson
P. John Clarkson University of Cambridge
Jens Grossklags
Jens Grossklags Technical University of Munich
Alan F. Blackwell
Alan F. Blackwell University of Cambridge
Battista Biggio
Battista Biggio University of Cagliari
Fabio Roli
Fabio Roli University of Genoa
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Gang Tan
Gang Tan Pennsylvania State University
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Yoram Reich
Yoram Reich Tel Aviv University

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