Academic Identity

Vidwan-ID : 406904

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  • Prof Bindhu Lal

  • Professor
  • Birla Institute of Technology, Mesra
Publications 2010 - 2023

Publications

  • 17
    Journal Articles
  • 1
    Retracted
  • 4
    Projects

Citations / H-Index

114 Citations
3 h-index

Google Scholar

Co-author Network

Expertise

Civil Engineering

Civil Engineering

Personal Information

Prof Bindhu Lal

Female
Qr.No.B I/1, BIT Campus Department of Civil and Environmental Engineering, Birla Institute of Technology, Mesra
Ranchi, Jharkhand, India - 835215

Experience

  • Professor

    Department of Civil and Environmental Engineering

    Birla Institute of Technology, Mesra

Qualification

  • Ph.D

    Birla Institute of Technology

Doctoral Theses Guided

2020

Prediction of soil shear strength parameters using soft computing technique

Sushama Kiran, Birla Institute of Technology

2020

Prediction of soil shear strength parameters using soft computing technique

Sushama Kiran, Birla Institute of Technology

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Membership In Committees

2013

State Technical Agency, PMGSY

Member

2013

State Technical Agency, PMGSY

Member

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Research Projects

Performance evaluation of Cement Concrete Pavements in Rural areas

Funding Agency : NRIDA

Development of Guidelines for design of all tiers of shovel dumper dump above dragline dump with delineation of phreatic surface within dragline dump, throughout the year and validation study of two dragline mines of Coal India Limited.

Funding Agency : CMPDI,Coal India LTD

Study of climate change due to global warming and a new intelligent model for air pollution concentration prediction

Funding Agency : UGC

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Performance evaluation of Cement Concrete Pavements in Rural areas

Funding Agency : NRIDA

Development of Guidelines for design of all tiers of shovel dumper dump above dragline dump with delineation of phreatic surface within dragline dump, throughout the year and validation study of two dragline mines of Coal India Limited.

Funding Agency : CMPDI,Coal India LTD

Study of climate change due to global warming and a new intelligent model for air pollution concentration prediction

Funding Agency : UGC

Prediction of particulate matter and gaseous pollutants concentration through Artificial Neural Network [ANN], Probabilistic Neural Network [PNN] and Classification and Regression Tree [CART] models and comparison with CALPUF and AERMOD in singrauli coal mines

Funding Agency : Coal India LTD

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Publications (18)

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