Bak Kong  Low Author of Evaluating Organization Development
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Bak Kong Low


Dr Bak Kong Low has been a Fellow of the American Society of Civil Engineers (ASCE) since 2000, and for 35 years (1985-2020) taught at Nanyang Technological University, Singapore. In 2019, he received the Thomas A. Middlebrooks Award from ASCE. He is listed in the top 0.5% cited scientists in his field, in a global list of all fields released on 20 October 2021 by Stanford University. (More details and download link are provided below.)

Biography

Dr Low earned his BS and MS degrees from the Massachusetts Institute of Technology (MS thesis supervised by Herbert Einstein and Daniele Veneziano), and his PhD degree from the University of California, Berkeley (PhD thesis supervised by James M. Duncan and James K. Mitchell).

He has conducted research while on sabbatical visits at the following places:
   - Hong Kong University of Science and Technology, hosted by the late Wilson H. Tang.
   - University of Texas at Austin, hosted by Robert Gilbert.
   - Norwegian Geotechnical Institute, hosted by Suzanne Lacasse.

In 2019, Bak Kong Low received the Thomas A. Middlebrooks Award from ASCE, for his paper “Insights from Reliability-Based Design to Complement Load and Resistance Factor Design Approach”, ASCE, Journal of Geotechnical and Geoenvironmental Engineering, November 2017.
Between August 2019 and March 2020, he gave 13 technical talks related to his ASCE Thomas A. Middlebrooks Award paper at various cities in Asia, Australia, New Zealand and the USA.
Past winners of the ASCE Thomas A. Middlebrooks award are listed at:
https://www.asce.org/career-growth/awards-and-honors/thomas-a-middlebrooks-award/thomas-a-middlebrooks-award-past-award-winners

Low, Bak Kong is listed in the top 0.5% cited scientists among a subgroup of 52,403 scientists world-wide within the Geological & Geomatics Engineering field of Civil Engineering, in a list of the world’s top 2% scientists in all fields (based on standardized citation info and a composite c-score without self-citations) released on 20 October 2021 by Stanford University.
  https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/3

Bak Kong likes nature, reading, and travel. He is married, and has two children.

Education

    PhD in Civil Engineering, UC Berkeley, 1982-1985
    BS and MS degrees in Civil Engineering, MIT, 1975-1979

Areas of Research / Professional Expertise

    Reliability-based design in soil and rock engineering;
    Risk and uncertainty analysis in geotechnical engineering;
    Soil and rock slope stability;
    Ground improvement.

Books

Featured Title
 Featured Title - Reliability-Based Design in Soil and Rock Engineering - 1st Edition book cover

News

Nov 2023 paper by BK Low and CW Boon, in Rock Mechanics and Rock Engineering

By: Bak Kong Low
Subjects: Engineering - Civil

Probability-Based Design of Reinforced Rock Slopes Using Coupled FORM and Monte Carlo Methods
Free PDF at the Springer hyperlink in the heading above.
(Open Access funding provided by the MIT Libraries)

August 2022 paper by Bak Kong Low, in the journal of Rock Mechanics and Rock Engineering

By: Bak Kong Low
Subjects: Engineering - Civil

Title of article: Context-Dependent Parameter Sensitivities in Rock Slope Stability

Available as a free PDF at  https://link.springer.com/content/pdf/10.1007/s00603-022-03017-0.pdf.
(Open Access funding provided by the MIT Libraries.)

 

Videos

Deterministic and probabilistic case analyses of slopes

Published: Jan 09, 2022

An ASCE webinar by me, on 8-Dec-2021, based on Chapters 8, 9 and 10 of my book titled "Reliability-Based Design in Soil and Rock Engineering: Enhancing Partial Factor Design Approaches", published on 1-Nov-2021, 399 pages, by the CRC Press, https://www.routledge.com/9780367631390. This video of my 8-Dec-2021 webinar is shared with permission of the ASCE.

Efficient RBD-via-FORM using the Excel Forecast function

Published: Jun 30, 2022

There are 4 slides. Slide 1 shows where to download Excel solution files from the publisher's website of my book, https://www.routledge.com/9780367631390. Slides 2, 3 and 4 illustrate, in three simple guided hands-on examples from my book, an efficient procedure for rapid reliability-based design.