Dr. Sandip Kumar Lahiri is a professional chemical engineer with Doctorate from NIT,
Durgapur and master degree from IIT, kharagpur.He has over 19 years experience in
operations and technical services of leading petrochemical industries across globe. His
interest includes simulation,process modelling,artificial intelligence in process
industry, APC, soft sensor, slurry flow modelling etc. He has over 25 publications in
various international journals. His publication includes both in industry application
oriented subjects and academic oriented subjects. 

Modelling & Simulation

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Process modeling and optimization of mono ethylene glycol quality in commercial plant integrating artificial neural network and differential evolution, Chemcon 2008 proceedings (2008)

This paper presents an artificial intelligence based process modeling and optimization strategies, namely artificial neural...

 

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Process Modeling and Optimization Strategies, Chemical Product and Process (2008)

This paper presents artificial intelligence-based process modeling and optimization strategies, namely, support vector regression –...

 

Design

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SIMULATED ANNEALING TECHNIQUE TO DESIGN MINIMUM COST EXCHANGER, Chemical industry and chemical engineering quaterly (2011)

Owing to the wide utilization of heat exchangers in industrial processes, their cost minimization is...

 

Artificial neural network (ANN)

Artificial Neural Network Model with Parameter Tuning Assisted by Differential Evolution Technique: Study of Pressure Drop of Slurry Flow in Pipeline (with Kartik Chandra Ghanta), Chemical Product and Process Modeling (2008)

This paper describes a robust hybrid artificial neural network (ANN) methodology, which can offer superior...

 

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Development of an artificial neural network correlation for prediction of hold-up of slurry transport in pipelines, Chemical Engineering Science (2008)

In the literature, very few correlations have been proposed for hold-up prediction in slurry pipelines....

 

Fault diagnosis

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Fault Diagnosis for Large Complex Petrochemical Plant, Chemcon 2008 proceedings (2008)

Often it is time consuming to monitor the plant condition in modern complex process industries...

 

Support vector regression (SVR)

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Hybrid Support Vector Regression and Genetic Algorithm Technique – A Novel Approach in Process Modeling, Chemical Product and Process Modeling (2009)

This paper describes a robust support vector regression (SVR) methodology, which can offer superior performance...

 

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Prediction of Pressure drop of Slurry Flow in Pipeline by Hybrid, Chinese Journal of Chemical Engineering, (2008)

This paper describes a robust support vector regression (SVR) methodology, which can offer superior performance...

 

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Process Modeling and Optimization Strategies, Chemical Product and Process (2008)

This paper presents artificial intelligence-based process modeling and optimization strategies, namely, support vector regression –...

 

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THE SUPPORT VECTOR REGRESSION WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE: STUDY OF THE CRITICAL VELOCITY OF A SLURRY FLOW IN A PIPELINE, Chemical Industry & Chemical Engineering Quarterly (2008)

This paper describes a robust Support Vector regression (SVR) methodology, which can offer a superior...

 

OpenURL

THE SUPPORT VECTOR REGRESSION WITH THE PARAMETER TUNING ASSISTED BY A DIFFERENTIAL EVOLUTION TECHNIQUE:STUDY OF THE CRITICAL VELOCITY OF A SLURRY FLOW IN A PIPELINE (with K C. Ghanta), Chemical Industry & Chemical Engineering Quarterly (2008)

This paper describes a robust Support Vector regression (SVR) methodology, which can offer a superior...

 

Soft sensor

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Novel soft sensor modeling and process optimization technique for commercial petrochemical plant, Asia Pacific Journal of Chemical engg (2009)

Soft sensors have been widely used in industrial process control to improve the quality of...

 

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SOFT SENSOR DEVELOPMENT AND OPTIMIZATION OF THE COMMERCIAL PETROCHEMICAL PLANT INTEGRATING SUPPORT VECTOR REGRESSION AND GENETIC ALGORITHM, CI & CEQ (2009)

Soft sensors have been widely used in the industrial process control to improve the quality...

 

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Process modeling and optimization of mono ethylene glycol quality in commercial plant integrating artificial neural network and differential evolution, Chemcon 2008 proceedings (2008)

This paper presents an artificial intelligence based process modeling and optimization strategies, namely artificial neural...

 

Computational fluid Dynamics (CFD)

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Computational Fluid Dynamics Simulation of the Solid Liquid Slurry Flow in a Pipeline, Chemcon 2008 proceedings (2008)

A comprehensive computational fluid dynamics (CFD) model was developed in the present study to gain...

 

Slurry flow modelling

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Artificial neural network model with parameter tuning assisted by genetic algorithm technique: study of critical velocity of slurry flow in pipeline, Asia Pacific Journal of Chemical engg (2009)

This paper describes a robust hybrid artificial neural network (ANN) methodology, which can offer superior...

 

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Development of a hybrid support vector machine and genetic algorithm model for regime identification of slurry transport in pipelines, Asia Pacific Journal of Chemical engg (2009)

Four distinct regimes (namely sliding bed, saltation, heterogeneous suspension, and homogeneous suspension) were found existent...

 

Artificial Neural Network Model with Parameter Tuning Assisted by Differential Evolution Technique: Study of Pressure Drop of Slurry Flow in Pipeline (with Kartik Chandra Ghanta), Chemical Product and Process Modeling (2008)

This paper describes a robust hybrid artificial neural network (ANN) methodology, which can offer superior...

 

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Prediction of Pressure drop of Slurry Flow in Pipeline by Hybrid, Chinese Journal of Chemical Engineering, (2008)

This paper describes a robust support vector regression (SVR) methodology, which can offer superior performance...

 

My CV

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My CV 2012 (2012)
 

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My cv 2010 (2010)
 

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My CV (2009)
 

My PhD

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My PhD thesis : Study on slurry flow modelling in pipeline (2010)

Many large slurry pipelines were built and operating around the world. Pipeline transport is considered...

 

list of publication

reactor modelling

Modeling of Commercial Ethylene Oxide Reactor: A Hybrid Approach by Artificial Neural Network & Differential Evolution (with Nadeem Khalfe), International Journal of Chemical Reactor Engineering (2012)

This study is motivated by a growing popularity of artificial neural network for process modeling...

 

modelling

Development of a Hybrid Artificial Neural Network and Genetic Algorithm Model for Regime Identification of Slurry Transport in Pipelines (with Kartik Chandra Ghanta), Chemical Product and Process Modeling (2012)

Four distinct regimes were found existent (namely sliding bed, saltation, heterogeneous suspension and homogeneous suspension)...

 

Process modeling and optimization of mono ethylene glycol

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Process modeling and optimization of mono ethylene glycol (with Sunil Kumar Sawke and Nadeem Khalfe), Chemcon (2008)

This paper presents an artificial intelligence based process modeling and optimization strategies, namely artificial neural...

 

modeling and optimization

Process Modeling and Optimization Strategies Integrating Support Vector Regression and Differential Evolution: A Study of Industrial Ethylene Oxide Reactor (with Nadeem Khalfe), Chemical Product and Process Modeling (2012)

This paper presents artificial intelligence-based process modeling and optimization strategies, namely, support vector regression –...

 

My Publication- updated on April13