Pijush Samui

Pijush Samui is working as an associate professor in civil engineering department at NIT Patna, India. He graduated in 2000, with a B.Tech. in Civil Engineering from Indian Institute of Engineering Science and Technology, Shibpur, India. He received his M.Sc. in Geotechnical Earthquake Engineering from Indian Institute of Science, Bangalore, India (2004). He holds a Ph.D. in Geotechnical Earthquake Engineering (2008) from Indian Institute of Science, Bangalore, India. He was a postdoctoral fellow at University of Pittsburgh (USA) (2008-2009) and Tampere University of Technology (Finland) (2009- 2010). At University of Pittsburgh, he worked on design of efficient tool for rock cutting and application of Support Vector Machine (SVM) in designing of geostructure. At Tampere University of Technology, he worked on design of railway embankment, slope reliability and site characterization. In 2010, Dr. Pijush joined in the Center for Disaster Mitigation and Management at VIT University as an Associate Professor. He was promoted to a Professor in 2012. Dr. Pijush’s research focuses on the application of Artificial Intelligence for designing civil engineering structure, design of foundation, stability of railway embankment, reliability analysis, site characterization, and earthquake engineering. Dr. Pijush is the recipient of the prestigious CIMO fellowship (2009) from Finland, for his integrated research on the design of railway embankment. He was awarded Shamsher Prakash Research Award (2011) by IIT Roorkee for his innovative research on the application of Artificial Intelligence in designing civil engineering structure. He wasselected asthe recipient of IGS Sardar Resham Singh Memorial Award – 2013 for his innovative research on infrastructure project. He was elected Fellow of International Congress of Disaster Management in 2010. He served as a guest in disaster advance journal. He also serves as an editorial board member in several international journals. Dr. Pijush is active in a variety of professional organizations including the Indian Geotechnical Society, Indian Science Congress, Institution of Engineers, World federation of Soft Computing, and Geotechnical Engineering for Disaster Mitigation and Rehabilitation. He has organized numerous workshops and conferences on the applications of artificial intelligence in civil engineering design.

Publications

Reliability Analysis of Circular Footing by Using GP and MPMR
Rahul Kumar, Pijush Samui, Sunita Kumari, Yildirim Hüseyin Dalkilic. © 2021. 19 pages.
Circular footings are designed to bear a load of super structures. Studies have been done on the influence of soil properties on bearing capacity of shallow foundations. The use...
Determination of Spatial Variability of Rock Depth of Chennai
Pijush Samui, Viswanathan R., Jagan J., Pradeep U. Kurup. © 2021. 18 pages.
This study adopts four modeling techniques Ordinary Kriging(OK), Generalized Regression Neural Network (GRNN), Genetic Programming(GP) and Minimax Probability Machine...
Modelling of Seismic Liquefaction Using Classification Techniques
Azad Kumar Mehta, Deepak Kumar, Prithvendra Singh, Pijush Samui. © 2021. 10 pages.
Liquefaction susceptibility of soil is a complex problem due to non-linear behaviour of soil and its physical attributes. The assessment of liquefaction potential is commonly...
Predicting Probability of Liquefaction Susceptibility Based on a Wide Range of CPT Data
Dhilipkumar B., Abidhan Bardhan, Pijush Samui, Sanjay Kumar. © 2021. 24 pages.
In the present study, three efficient soft computing techniques (namely, genetic programming (GP), relevance vector machine (RVM), and multivariate regression splines (MARS)) are...
Utilization of SVM, LSSVM and GP for Predicting the Medical Waste Generation
J. Jagan, Yıldırım Dalkiliç, Pijush Samui. © 2020. 22 pages.
The prediction of wastes generated in the hospital will help their management for several activities like storage, transport and disposing. This chapter adopts Support Vector...
Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR
J. Jagan, Pijush Samui, Barnali Dixon. © 2020. 18 pages.
The prediction of medical waste generation is an important task in hospital waste management. This article uses Relevance Vector Machine (RVM), Multivariate Adaptive Regression...
Utilization of SVM, LSSVM and GP for Predicting the Medical Waste Generation
J. Jagan, Yıldırım Dalkiliç, Pijush Samui. © 2020. 23 pages.
The prediction of wastes generated in the hospital will help their management for several activities like storage, transport and disposing. This chapter adopts Support Vector...
Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
Dookie Kim, Sanjiban Sekhar Roy, Tim Länsivaara, Ravinesh Deo, Pijush Samui. © 2018. 618 pages.
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas...
Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass
Jagan Jayabalan, Sanjiban Sekhar Roy, Pijush Samui, Pradeep Kurup. © 2018. 30 pages.
Elastic Modulus (Ej) of jointed rock mass is a key parameter for deformation analysis of rock mass. This chapter adopts three intelligent models {Extreme Learning Machine (ELM)...
Determination of Spatial Variability of Rock Depth of Chennai
Pijush Samui, Viswanathan R., Jagan J., Pradeep U. Kurup. © 2018. 18 pages.
This study adopts four modeling techniques Ordinary Kriging(OK), Generalized Regression Neural Network (GRNN), Genetic Programming(GP) and Minimax Probability Machine...
Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils
J. Jagan, Prabhakar Gundlapalli, Pijush Samui. © 2018. 37 pages.
The determination of liquefaction susceptibility of soil is a paramount project in geotechnical earthquake engineering. This chapter adopts Support Vector Machine (SVM)...
Modeling and Simulation Techniques in Structural Engineering
Pijush Samui, Subrata Chakraborty, Dookie Kim. © 2017. 524 pages.
The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue...
Design Optimization of a Wind Turbine Using Artificial Intelligence
Jagan Jayabalan, Dalkilic Yildirim, Dookie Kim, Pijush Samui. © 2017. 29 pages.
This chapter examines the capability of Support Vector Machine (SVM), Relevance Vector Machine (RVM) and Genetic Programming (GP) for the optimal design of wind turbine. The...
Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques
Swaptik Chowdhury, Pratik Goyal, R. Hariharan, Pijush Samui. © 2017. 22 pages.
This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope. The proposed MPM and ELM models use...
Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil
Vishal Shreyans Shah, Henyl Rakesh Shah, Pijush Samui. © 2017. 29 pages.
This chapter examines the capability of Minimax Probability Machine Regression (MPMR) and Extreme Learning Machine (ELM) for prediction of Optimum Moisture Content (OMC), Maximum...
Determination of Work Zone Capacity Using ELM, MPMR and GPR
Sangeeta Roy, J. Jagan, Pijush Samui. © 2017. 19 pages.
This article examines the capability of Extreme Learning Machine (ELM), Minimax Probability Machine Regression (MPMR) and Gaussian Process Regression (GPR) for determination of...
Determination of Work Zone Capacity Using ELM, MPMR and GPR
Sangeeta Roy, J. Jagan, Pijush Samui. © 2016. 19 pages.
This article examines the capability of Extreme Learning Machine (ELM), Minimax Probability Machine Regression (MPMR) and Gaussian Process Regression (GPR) for determination of...
Reliability Analysis of Slope Using MPMR, GRNN and GPR
Dhivya Subburaman, Jagan J., Yıldırım Dalkiliç, Pijush Samui. © 2016. 17 pages.
First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized...
Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils
J. Jagan, Prabhakar Gundlapalli, Pijush Samui. © 2016. 37 pages.
The determination of liquefaction susceptibility of soil is a paramount project in geotechnical earthquake engineering. This chapter adopts Support Vector Machine (SVM)...
Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil
Vishal Shreyans Shah, Henyl Rakesh Shah, Pijush Samui. © 2016. 29 pages.
This chapter examines the capability of Minimax Probability Machine Regression (MPMR) and Extreme Learning Machine (ELM) for prediction of Optimum Moisture Content (OMC), Maximum...
Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques
Swaptik Chowdhury, Pratik Goyal, R. Hariharan, Pijush Samui. © 2016. 18 pages.
This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope. The proposed MPM and ELM models use...
Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR
Jagan J., Pijush Samui, Barnali Dixon. © 2016. 18 pages.
The prediction of medical waste generation is an important task in hospital waste management. This article uses Relevance Vector Machine (RVM), Multivariate Adaptive Regression...
Determination of Pull Out Capacity of Small Ground Anchor Using Data Mining Techniques
Pijush Samui. © 2016. 9 pages.
The determination of pull out capacity (Q) of small ground anchor is an imperative task in civil engineering. This chapter employs three data mining techniques (Genetic...
Reliability Analysis of Slope Using MPMR, GRNN and GPR
Dhivya Subburaman, Jagan J., Yıldırım Dalkiliç, Pijush Samui. © 2016. 15 pages.
First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized...
Application of Artificial Neural Network and Genetic Programming in Civil Engineering
Pijush Samui, Dhruvan Choubisa, Akash Sharda. © 2016. 15 pages.
This chapter examines the capability of Genetic Programming (GP) and different Artificial Neural Network (ANN) (Backpropagation [BP] and Generalized Regression Neural Network...
Utilization of SVM, LSSVM and GP for Predicting the Medical Waste Generation
J. Jagan, Yıldırım Dalkiliç, Pijush Samui. © 2016. 28 pages.
The prediction of wastes generated in the hospital will help their management for several activities like storage, transport and disposing. This chapter adopts Support Vector...
Modeling of Wind Speed Profile using Soft Computing Techniques
Pijush Samui, Yıldırım Dalkiliç. © 2015. 22 pages.
This chapter examines the capability of three soft computing techniques (Genetic Programming [GP], Support Vector Machine [SVM], and Multivariate Adaptive Regression Spline...
GPR and RVM-Based Predictions of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel
Pijush Samui, H. Yildirim Dalkilic. © 2015. 27 pages.
This chapter examines the capability of Gaussian Process Regression (GPR) and Relevance Vector Machine (RVM) for prediction of surface and hole quality in drilling of AISI D2...
Minimax Probability Machine: A New Tool for Modeling Seismic Liquefaction Data
Pijush Samui, Yıldırım Huseyin Dalkiliç, Hariharan Rajadurai, J. Jagan. © 2015. 29 pages.
Liquefaction in soil is one of the other major problems in geotechnical earthquake engineering. This chapter adopts Minimax Probability Machine (MPM) for prediction of seismic...
Determination of Pull Out Capacity of Small Ground Anchor Using Data Mining Techniques
Pijush Samui. © 2014. 9 pages.
The determination of pull out capacity (Q) of small ground anchor is an imperative task in civil engineering. This chapter employs three data mining techniques (Genetic...
Application of Artificial Neural Network and Genetic Programming in Civil Engineering
Pijush Samui, Dhruvan Choubisa, Akash Sharda. © 2014. 17 pages.
This chapter examines the capability of Genetic Programming (GP) and different Artificial Neural Network (ANN) (Backpropagation [BP] and Generalized Regression Neural Network...
Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay
Pijush Samui, Pradeep Kurup. © 2012. 10 pages.
This study adopts Multivariate Adaptive Regression Spline (MARS) and Least Square Support Vector Machine (LSSVM) for prediction of undrained shear strength (su) of clay, based...
Support Vector Classifiers for Prediction of Pile Foundation Performance in Liquefied Ground During Earthquakes
Pijush Samui, Subhamoy Bhattacharya, T. G. Sitharam. © 2012. 18 pages.
Collapse of pile-supported structures is still observed in liquefiable soils after most major earthquakes and remains a continuing concern to the geotechnical engineering...
Lateral Displacement of Liquefaction Induced Ground Using Least Square Support Vector Machine
Sarat Kumar Das, Pijush Samui, Dookie Kim, N. Sivakugan, Rajanikanta Biswal. © 2011. 11 pages.
The determination of lateral displacement of liquefaction induced ground during an earthquake is an imperative task in disaster mitigation. This study investigates the...