JOURNAL ARTICLE

A review of the contributions of P. Raj Bishnoi to chemical engineering.

  • Published In: Canadian Journal of Chemical Engineering, 2023, v. 101, n. 2. P. 565 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Mehrotra, Anil K.; Englezos, Peter 3 of 3

Abstract

This paper provides a review of Professor Bishnoi's research contributions in the broad discipline of chemical engineering. Prof. Bishnoi has been a dedicated mentor, collaborator, innovator, and outstanding researcher. He has had a most productive and illustrious career, spanning more than four decades in both academia and industry. He is among the top 50 most‐published authors of the The Canadian Journal of Chemical Engineering. He initiated a most successful and renowned research group at the University of Calgary, which was dedicated to the understanding of thermodynamics and kinetics related to the formation and decomposition of gas hydrates as well as the chemical engineering process design and simulation. As a tribute to Prof. Bishnoi's numerous scientific and engineering contributions and innovations, this review highlights his academic and research accomplishments, which included the training of several doctoral degree students, master's degree students, and postdoctoral scholars and research associates. In this paper, we have divided Prof. Bishnoi's research contributions into three broad areas, namely, chemical thermodynamics of hydrocarbon systems, process development and simulation, and thermodynamics and kinetics of the formation and decomposition of gas hydrates. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Canadian Journal of Chemical Engineering. 2023/02, Vol. 101, Issue 2, p565
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:00084034
  • DOI:10.1002/cjce.24385
  • Accession Number:161113918
  • Copyright Statement:Copyright of Canadian Journal of Chemical Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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