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Dr Sandip Kumar Lahiri

vidwan id: 102997
Male

Associate Professor, Department of Chemical Engineering
National Institute of Technology Durgapur

Expertise

  • Chemical Engineering

Publications

Total Articles 67
Books 0
Proceedings 0

Publications

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Scopus

Citations 661
h-index 14

CrossRef

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Citations 132
h-index 6
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Professional Recognition

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Bio

Chemical Engineering

Personal Details

  • Male
  • Associate Professor , National Institute of Technology Durgapur
  • National Institute of Technology Durgapur, Mahatma Gandhi Rd, A-Zone
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Associate Professor Nov -0001 – Present
National Institute of Technology Durgapur | Department of Chemical Engineering

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Co-Authors (9)

Ashish

Dr Ashish Bhattacharjee

National Institute of Technology Durgapur

Gautam

Prof Gautam Biswas

Birla Institute of Technology and Science

Abhiram

Dr Abhiram Hens

National Institute of Technology Durgapur

Jitamanyu

Dr Jitamanyu Chakrabarty

National Institute of Technology Durgapur

Jagannath

Dr Jagannath Roy

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Kartik Chandra

Prof Kartik Chandra Ghanta

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Dr Kalyan Adhikari

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Dr Tithli Sadhu

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Prof Susmita Dutta

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Scholarly Work

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Scholarly Publications

Soft sensor development and optimization of the commercial petrochemical plant integrating support vector regression and genetic algorithm

Open Access
Article

Process modeling and optimization of industrial ethylene oxide reactor by integrating support vector regression and genetic algorithm

Open Access
Article

A support vector classification method for regime identification of slurry transport in pipelines

Open Access
Article
Authors: Lahiri S.;Ghanta K.
2

Artificial neural network model with the parameter tuning assisted by a differential evolution technique: The study of the hold up of the slurry flow in a pipeline

Open Access
Article

Support vector regression with parameter tuning assisted by differential evolution technique: Study on pressure drop of slurry flow in pipeline

Open Access
Article

A support vector classification method for regime identification of slurry Transport in pipelines Statistical analysis showed the proposed solution has an average misclassification error of only 1.5%

Open Access
Article
Authors: Lahiri S.K.;Ghanta K.C.

Computational fluid dynamics simulation of solid-liquid slurry flow

Open Access
Article
Authors: Lahiri S.K.;Ghanta K.C.
3

Development of a hybrid artificial neural network and genetic algorithm model for regime identification of slurry transport in pipelines

Open Access
Article