Special Issue on Artificial Intelligence and Data Science in Mechanical Engineering and Applications

Submission Deadline: Aug. 30, 2020

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)

  • Special Issue Editor
    • Nima Zamani Meymian
      Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, USA
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Hamed Pourzolfaghar
      Department of Chemical Engineering, University of Malaysia, Kuala Lumpur, Malaysia
    • Soroush Sepahyar
      Department of Mechanical Engineering, Michigan Technological University, Houghton, Michigan, USA
    • Golnoosh Khajouei
      West Virginia University, Morgantown, USA
    • Ehsan Ansari
      Michigan Technological University, Houghton, Michigan, USA
    • Sarah Hojjatinia
      The Pennsylvania State University, University Park, USA
    • Mohammadrasool Morovatiyan
      University of Massachusetts Lowell, Lowell, USA
    • Mahdi Darzi
      West Virginia University, Morgantown, USA
    • Amirreza Niazmand
      Mechanical & Aerospace Engineering Department, The University of Texas at Arlington, Arlington, Texas, USA
    • Martia Shahsavan
      University of Massachusetts Lowell, Lowell, USA
  • Introduction

    The Special Issue “Artificial Intelligence and Data Science in Mechanical Engineering and Application” focuses on application and development of intelligent methods for the solution of scientific and engineering problems. This is accomplished through methods including but not limited to genetic algorithms, neural networks, fuzzy methods, computational optimization, data-driven engineering, statistical methods, machine learning.
    The aim of this special issue is to provide a platform for scientists, researchers and industry leaders, in the field of intelligent and data-driven methods to disseminate recent findings and progress. This issue provides a platform for the publication of papers in this important field of science and engineering. The range of appropriate contributions is very wide. It covers any field within the computational, analytical, and experimental methods for the design and simulation of complex real-world problems leading to the engineering products and systems. This also includes combination of abovementioned methods in the following fields of science and engineering:
    Aims and Scope:
    1. Solid and structural mechanics
    2. Fluid mechanics
    3. Energy
    4. Mechanics of materials
    5. Heat transfer
    6. Dynamics
    7. Geomechanics
    8. Acoustics
    9. Biomechanics
    10. Nanomechanics
    11. Electromagnetics

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijdsa.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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