World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
98
Citations
33932
World Ranking
164
National Ranking
60

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Andrew Kusiak is affiliated with the University of Iowa in the United States and has contributed extensively to the field of engineering, with a particular focus on industrial and manufacturing engineering. Their research spans multiple subfields, including control and systems engineering, artificial intelligence, mechanical engineering, and strategy and management.

Their work covers a range of topics, prominently featuring digital transformation in industry, machine fault diagnosis techniques, and manufacturing process and optimization. Additional areas of focus include flexible and reconfigurable manufacturing systems, fault detection and control systems, machine learning and extreme learning machines (ELM), as well as supply chain resilience and risk management.

Among their recent papers are:

  • "Diagnosis of wind turbine faults with transfer learning algorithms" (2020, Renewable Energy)
  • "Open manufacturing: a design-for-resilience approach" (2020, International Journal of Production Research)
  • "Impact of COVID-19 on Manufacturing and Supply Networks - The Case for AI-Inspired Digital Transformation" (2020, SSRN Electronic Journal)
  • "Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network" (2021, Energy)
  • "Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service" (2020, Journal of Intelligent Manufacturing)

Frequent coauthors with whom Andrew Kusiak has collaborated include:

  • Weiming Shen
  • Liang Gao
  • Guokai Liu
  • Yingjun Shen
  • Zhe Song

Main venues for publication feature a concentration in journals linked to industrial production and manufacturing research:

  • International Journal of Production Research
  • Journal of Intelligent Manufacturing
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Journal of Manufacturing Systems

Andrew Kusiak's research embodies an interdisciplinary approach within engineering, combining elements of artificial intelligence with manufacturing systems and process optimization. The body of work reflects an engagement with contemporary challenges in industry, including resilience, digital transformation, and advanced fault diagnosis methodologies.

Best Publications

  • Data-driven smart manufacturing

    Fei Tao;Qinglin Qi;Ang Liu;Andrew Kusiak

  • Smart manufacturing

    Unknown

  • The facility layout problem

    Andrew Kusiak;Sunderesh S. Heragu

  • The generalized group technology concept

    Andrew Kusiak

  • Intelligent Manufacturing Systems

    Andrew Kusiak;David Dornfeld

  • Data Mining in Manufacturing: A Review

    J. A. Harding;M. Shahbaz;Srinivas;A. Kusiak

  • Design of wind farm layout for maximum wind energy capture

    Andrew Kusiak;Zhe Song

  • Modularity in design of products and systems

    Chun-Che Huang;A. Kusiak

  • Efficient solving of the group technology problem

    Andrew Kusiak;Wing S. Chow

  • The prediction and diagnosis of wind turbine faults

    Andrew Kusiak;Wenyan Li

  • Smart manufacturing must embrace big data

    Andrew Kusiak

  • Machine Layout Problem in Flexible Manufacturing Systems

    Sunderesh S. Heragu;Andrew Kusiak

  • Efficient models for the facility layout problem

    Sunderesh S. Heragu;Andrew Kusiak

  • Short-Term Prediction of Wind Farm Power: A Data Mining Approach

    A. Kusiak;Haiyang Zheng;Zhe Song

  • Concurrent Engineering: Automation, Tools, and Techniques

    Andrew Kusiak

  • Grouping of parts and components in flexible manufacturing systems

    K. Ravi Kumar;Andrew Kusiak;Anthony Vannelli

  • Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

    Jiafu Wan;Xiaomin Li;Hong-Ning Dai;Andrew Kusiak

  • Modeling and optimization of HVAC energy consumption

    Andrew Kusiak;Mingyang Li;Fan Tang

  • Decomposition of the Design Process

    A. Kusiak;J. Wang

  • Development of modular products

    A. Kusiak;Chun-Che Huang

  • Computational Intelligence in Design and Manufacturing

    Andrew Kusiak

  • Group technology

    Andrew Kusiak;Sunderesh S. Heragu

Frequent Co-Authors

Zijun Zhang
Zijun Zhang City University of Hong Kong
David He
David He University of Illinois at Chicago
Sunderesh S. Heragu
Sunderesh S. Heragu Oklahoma State University
Chanan Singh
Chanan Singh Texas A&M University
Hervé Panetto
Hervé Panetto University of Lorraine
Sridhar Tayur
Sridhar Tayur Carnegie Mellon University
Marian Muste
Marian Muste University of Iowa
Jerald L. Schnoor
Jerald L. Schnoor University of Iowa
Fei Tao
Fei Tao Beihang University
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University

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