Faculty At Civil Department



Pijush Samui
Pijush Samui
Associate Professor
Basic Information Research Interest:-• Geohazards • Earthquake Geotechnical Engineering • Concrete Technology • Pile Foundation • Slope Stability • Application of Artificial Intelligence in Civil Engineering • Site Characterization
Email :- pijush@nitp.ac.in
Phone :-

Subjects Teaching in Department
  1. Engineering Mechanics
  2. Advanced Foundation Engineering
  3. Soil structure interaction
  4. Soil Dynamics and Machine Foundation
  5. Foundation Engineering
  6. Soil Mechanics (Laboratory)
  7. Fluid Mechanics (Laboratory)
  8. Applied Mechanics
  9. Geotechnical Engineering I (Soil Mechanics)
  10. Structures on Expansive soil
Educational Qualification
  1. Ph.D - Indian Institute of Science (Bangalore, India) - 2008
  2. M.Sc. (Geotechnical Engineering) - Indian Institute of Science (Bangalore, India) - 2004
  3. B.E. (Civil Engineering) - Bengal Engineering and Science University (Howrah, India) - 2000
    Memberships & Society
    1. Geotechnical Engineering for Disaster Mitigation and Rehabilitation - (JWG-DMR)
    2. World federation of Soft Computing
    3. Indian Science Congress - (L15829)
    4. Institution of Engineers - (M-141941-7)
    5. Indian Geotechnical Society - (LM-3028)
      Current Administrative Responsibility
      1. PI of the Dept of Civil Engg Exam Coordinator NIT Patna
        Past Administrative Responsibility
        1. Director in charge of CDDM at VIT University (India)
          Work Experiences
          1. Adjunct Professor Ton Duc Thang University(Vietnam)
          2. Visiting Professor Far Easter Federal University(Russia)
          3. Associate Professor NIT Patna (India)
          4. Director in charge VIT University (India)
          5. Professor VIT University (India)
          6. Associate Professor VIT University (India)
          7. Postdoctoral Associate Tampere University of Technology (Finland)
          8. Postdoctoral Associate University of Pittsburgh (USA)
            Books
            1. Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering, Dookie Kim, Sanjiban Sekhar Roy, Tim Länsivaara, Ravinesh Deo and Pijush Samui,, IGI Global - 2018.
            2. Big Data in Engineering Applications, Roy, S.S., Samui, P., Deo, R., Ntalampiras, S., Springer - 2018.
            3. Data Driven Models, Pijush Samui, VDM Publishing House Ltd, Germany - 2011.
            4. Machine Learning in Concrete Technology, Pijush Samui, S.K. Sekar, Kallyan Kulkarni, VDM Publishing House Ltd, Germany - 2011.
            5. Artificial Intelligence in Civil Engineering, Pijush Samui and D.P. Kothari, VDM Publishing House Ltd, Germany - 2012.
            6. Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, Pijush Samui, IGI global - 2015.
            7. Modeling and Simulation Techniques in Structural Engineering, Pijush Samui, Subrata Chakraborty and Dookie Kim, IGI global - 2016.
            8. Handbook of Neural Computation, Pijush Samui Sanjiban Sekhar Roy Valentina E. Balas, Elsevier - 2017.
            9. Integrating Disaster Science and Management Global Case Studies in Mitigation and Recovery, Pijush Samui Dookie Kim Chandan Ghosh, Elsevier - 2018.
            10. Slope Stability and Liquefaction, Pijush Samui, VDM Publishing House Ltd Germany - 2010.
            11. Intelligent models in geotechnical engineering, Pijush Samui and T.G. Sitharam, LAP LAMBERT Academic Publishing AG & Co. KG, Germany - 2010.
            12. Soft computing in geotechnical engineering, Pijush Samui, Sarat Das, and T.G. Sitharam, VDM Publishing House Ltd, Germany - 2010.
            13. Artificial Intelligence in Earthquake Engineering, Pijush Samui, LAP LAMBERT Academic Publishing AG & Co. KG, Germany - 2010.
              Journals
              1. Susom Dutta, Pijush Samui and Dookie Kim, Comparison of machine learning techniques to predict compressive strength of concrete. Computers and Concrete . 21(4) - 2018,463-470, .
              2. Umar, S.K., Samui, P., Kumari, S. , Deterministic and Probabilistic Analysis of Liquefaction for Different Regions in Bihar. Geotechnical and Geological Engineering . - 2018,1-11, .
              3. Pijush Samui, Dookie Kim, Jagan J and Sanjiban Sekhar Roy, Determination of uplift capacity of suction caisson using Gaussian Process Regression, Minimax22 Probability Machine Regression and Extreme Learning Machine. Iranian Journal of Science and Technology.. - 2018,.
              4. Pijush Samui, Dookie Kim, Namrata Kakoti, Soft Computing Applied to Rotation Capacity of Wide Flange Beams,. Iranian Journal of Science and Technology, Transactions of Civil Engineering,. 21(4) - 2018,1-10, .
              5. Susom Dutta, Pijush Samui and Dookie Kim, Comparison of machine learning techniques to predict compressive strength of concrete. Computers and Concrete,. - 2018,.
              6. Pijush Samui, Aditi Palsapure, Sanjiban Roy, Reliability analysis of shallow foundation based on settlement criteria. International Journal of Advanced Intelligence Paradigms. - 2018,.
              7. Sanikhani, H., Deo, R.C., Samui, P., Kisi, O., Mert, C., Mirabbasi, R., Gavili, S., Yaseen, Z.M, Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Computers and Electronics in Agriculture. 152 - 2018,242-260, .
              8. Deo Ravinesh C, Pijush Samui, Forecasting evaporative loss by least square support vector regression and evaluation with genetic programming, gaussian process and minimax probability machine regression: a case study for Brisbane City. ASCE, Journal of Hydrologic Engineering. 22(6) - 2017,1-15, .
              9. Roshni, T., Md. Sajid, K., Samui, , Potential of regression models in projecting sea level variability due to climate change at Haldia Port,India. Ocean Systems Engineering. 7(4) - 2017,319-328, .
              10. Rahul Kumar, Pijush Samui and Sunita Kumari,, Reliability Analysis of Infinite Slope Using Metamodels. Geotechnical and Geological Engineering,. 35(3) - 2017,1221–123, .
              11. Dutta, S., Ramachandra Murthy, , Kim, D., Samui, P., Prediction of compressive strength of self-compacting concrete using intelligent computational modeling, Computers. Materials and Continua. 53(2) - 2017,167-185, .
              12. Sanjiban Sekhar Roy and Pijush Samui, Predicting longitudinal dispersion coefficient in natural streams using Minimax Probability Machine Regression and Multivariate Adaptive Regression Spline. International Journal of Advanced Intelligence Paradigms.. - 2017,.
              13. Viswanathan, R., Pijush Samui, Determination of rock depth using artificial intelligence techniques. Geoscience Frontiers. 7(1) - 2016,61-66, .
              14. Pijush Samui and Dookie Kim, Determination of Electrical Resistivity of Soil Based on Thermal Resistivity Using RVM and MPMR. Period. Polytech. Civil Eng.,. 60(4) - 2016,511-515, .
              15. Pijush Samui and Dookie Kim, Minimax probability machine regression and extreme learning machine applied to compression index of marine clay. Indian Journal of Geo-Marine Science. 46(11) - 2016,2350-2356, .
              16. Pijush Samui, Dooki Kim, Bhairevi. G. Aiyer, Pull out capacity of small ground anchor: a least square support vector machine approach. Journal of Zhejiang University Science A. 16(4) - 2015,295-231, .
              17. E. Praseeda, Biju John, C. Srinivasan Yogendra Singh, K.S. Divyalakshmi, and Pijush Samui, Thenmala fault system, southern India: implication to Neotectonics. Journal of the Geological Society of India. 86(4) - 2015,391–398, .
              18. Vishal shreyans shah , Henyl rakesh shah , Pijush samui , A. Ramachandra Murthy, Prediction of Fracture Parameters of High Strength and Ultra-High Strength Concrete Beams using Minimax Probability Machine Regression and Extreme Learning Machine. CMC: Computers, Materials, & Continua. 44(2) - 2015,73-84, .
              19. Viswanathan.r, pradeep kurup, and pijush samui, Examining efficacy of Metamodels in predicting groundwater Table. International journal of performability engineering.. 11(3) - 2015,275-281., .
              20. Pijush Samui, Prediction of Fracture Parameters of Concrete by Relevance Vector Machine. International Journal of Engineering Research in Africa. 17 - 2015,1-7, .
              21. Deo, R.C., Pijush Samui, Kim,, Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models. Stochastic Environmental Research and Risk Assessment. 30(6) - 2015,1769-1784, .
              22. Pijush samui, R. Hariharan, and Dookie kim, Determination of seismic liquefaction potential of soil based on strain energy concept. Environmental earth science. 74(7) - 2015,5581-5585, .
              23. Pijush Samui, Pradeep Kurup, S. Dhivya, J. Jagan, Reliability Analysis of Quick Sand Condition. Geotechnical and geological engineering. 34(2) - 2015,579-584, .
              24. Pijush Samui, J. Jagan, R. and Hariharan,, An Alternative Method for Determination of Liquefaction Susceptibility of Soil. Geotechnical and geological engineering. 34(2) - 2015,735-738., .
              25. Pijush Samui, Pradeep Kurup, S. Dhivya, J. Jagan, An Alternative Method for Determination of Liquefaction Susceptibility of Soil. Geotechnical and geological engineering. 34(2) - 2015,735-738., .
              26. Pijush Samui, Vector machine techniques for modelling of seismic liquefaction data. Ain Shams Engineering Journal. 5(2) - 2014,355–360, .
              27. Pijush Samui and R. Hariharan, A unified classification model For Prediction Of Seismic Liquefaction Potential Of Soil. Journal of Advanced Research. 6(4) - 2014,587-592, .
              28. Pijush Samui, Hariharan, R., Karthikeyan, J., Determination of stability of slope using Minimax Probability Machine. Georisk. 8(2) - 2014,147-151, .
              29. Pijush Samui and Dooki Kim, Determination of the angle of shearing resistance of soils using multivariate adaptive regression spline. Marine Georesources & Geotechnology. 33(6) - 2014,186-193, .
              30. Yuvaraj P , A Ramachandra Murthy , Nagesh R Iyer , S.K.Sekar and Pijush Samui, ANN Model to Predict Fracture Characteristics of High strength and Ultra high strength Concrete beams. CMC: Computers, Materials, & Continua. 43(3) - 2014,193-213, .
              31. Umut Okkan , Zafer Ali Serbes, Pijush Samui , Relevance vector machines approach for long-term flow prediction. Neural Comput & Applic. 25(6) - 2014,1393-1405, .
              32. Pijush Samui and and R. Hariharan,, Modeling of spt seismic liquefaction data using minimax probability machine. Geotechnical and Geological Engineering.. 32(3) - 2014,699-703, .
              33. R. Viswanathan, J. Jagan, Pijush Samui, P. Porchelvan, Spatial Variability of Rock Depth Using Simple Kriging, Ordinary Kriging, RVM and MPMR. Geotechnical and Geological Engineering. 33(1) - 2014,69-78, .
              34. Pijush Samui, Dookie Kim and Viswanathan.R, Spatial variability of rock depth using adaptive neuro fuzzy inference system (anfis) and multivariate adaptive regression spline (mars). Environmental earth science,. 73(8) - 2014,4265-4272., .
              35. Pijush Samui, Determination of surface and hole quality in drilling of aisi d2 cold work tool steel using mpmr, mars and lssvm. Journal of Advanced Manufacturing Systems. 13(4) - 2014,237-246., .
              36. Pijush Samui and Barnali Dixon, Determination of contaminatated wells to no3-n: a novel vulnerability assessment tool. Journal of Urban and Environmental Engineering.. 8(2) - 2014,243-249, .
              37. Shantaram Parab, Shreya Srivastava, and Pijush Samui, A. Ramachandra Murthy, Prediction of fracture parameters of high strength and ultra-high strength concrete beams using gaussian process regression and least squares support vector machine. CMES: Computer Modeling in Engineering & Sciences. 101(2) - 2014,139-158, .
              38. Karthikeyan, J., Samui, P., Application of statistical learning algorithms for prediction of liquefaction susceptibility of soil based on shear wave velocity. Geomatics, Natural Hazards and Risk. 5(1) - 2014,7-25, .
              39. Pijush Samuk and Manoj Kumar,, Analysis of epimetamorphic rock slopes using soft computing. Journal of Shanghai Jiaotong University. 19(3) - 2013,274-278, .
              40. Pijush Samui and Dookie Kim, Determination of reservoir induced earthquake using support vector machine and gaussian process regression. Applied Geophysics. 10(2) - 2013,229-234, .
              41. Pijush Samui and J. Jagan,(, Determination of effective stress parameter of unsaturated soils: a gaussian process regression approach. Frontiers of Architecture and Civil Engineering in China. 7(2) - 2013,133-136., .
              42. Manoj Kumar, Pijush Samui and Bhairevi G. Ayer, Machine Learning Techniques Applied to Uniaxial Compressive Strength of Oporto Granite. International journal of performability engineering.. 10(2) - 2013,189-195., .
              43. Pijush Samui, Utilization of gaussian process regression for determination of soil electrical resistivity. Geotechnical and Geological Engineering. 32(1) - 2013,191-195, .
              44. Pijush Samui and Dookie Kim, Applicability of artificial intelligence to reservoir induced earthquakes. Acta Geophysica. 32(3) - 2013,608-619, .
              45. Kumar, M., Mittal, M. Pijush Samui, Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation. Earthquake Science. 26(2) - 2013,147-150, .
              46. Manoj Kumar, Pijush Samui and Ajay Kumar Naithani, Determination of Uniaxial Compressive strength and Modulus of Elasticity of Travertine Using Machine Learning Techniques. An International Journal of J.Advance Soft Computer Application. 5(3) - 2013,1-10, .
              47. Pijush Samui , Use of Minimax Probability Machine Regression for Modelling of Settlement of Shallow Foundations on Cohesionless Soil. International journal of performability engineering. 10(3) - 2013,325-328, .
              48. Bhairevi. G. Aiyer, Dookie Kim, Nithin K, Pijush Samui and P. Ramamohan Rao, Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine. KSCE, Journal of Civil Engineering. 18(6) - 2013,1753-1758., .
              49. Pijush Samui, Manoj Kumar, and Ajay Kumar Naithani, Determination of stability of epimetamorphic rock slope using minimax probability machine. Geomatics Natural Hazards and Risk. 7(1) - 2013,186-193, .
              50. Pijush Samui, J. Karthikeyan, The Use of a Relevance Vector Machine in Predicting Liquefaction Potential. Indian geotechnical journal. 44(4) - 2013,458- 467, .
              51. Pijush Samui and Saini, I., Utilization of multivariate adaptive regression splines (MARS) for prediction of pull out capacity of small ground anchor. International Journal of Advances in Soft Computing and its Applications. 5(1) - 2013,.
              52. Pijush Samui, Three dimensional site charaterization model of bangalore using support vector machine. ISRN Soil Science. - 2012,1-10, .
              53. Pijush Samui,, Study of slope stability prediction using least square support vector machine,. Journal of Applied Mechanics and Engineering. 17(1) - 2012,279-287., .
              54. Samui, P., Edison, T., Harikumar, C., Sivathanu Pillai C, Site characterization of (IGCAR) Kalpakkam using soft computing technices. International Journal of Advances in Soft Computing and its Applications. 4(2) - 2012,1-14, .
              55. Yuvaraj P , A Ramachandra Murthy , Nagesh R Iyer , S K Sekar and Pijush Samui, Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams. Engineering Fracture Mechanics,. 98 - 2012,29-43, .
              56. Pijush Samui and Barnali Dixon, €�application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs. Hydrological Processes. 26(9) - 2012,1361-1369, .
              57. Pijush Samui and T.G. Sitharam, Application of relevance vector machine in seismic attenuation prediction. Journal of Earthquake and Tsunami. 1(4) - 2007,299-309, .
              58. Jayant Kumar and Pijush Samui, Determination for Layered Soil Slopes using the Upper Bound Limit Analysis. Geotechnical and Geological Engineering. 24(6) - 2006,1803-1819, .
              59. Pijush Samui and Bimlesh Kumar,, Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule. The Electronic Journal of Geotechnical Engineering. 11A - 2006,.
              60. Pijush Samui and Dookie Kim, Least square support vector machine and multivariate adaptive regression spline for modelling lateral load capacity of piles. Neural Computing & Applications. 23(3-4) - ,(2012),1123-1127., .
              61. Pijush Samui, Sarat Das, Dookie Kim and Gil Lim Yoon, “determination of compression index for marine clay: a relevance vector machine approach. Marine Georesources & Geotechnology,. 30(4) - ,(2011),,263-273, .
              62. Yuvaraj P, A Ramachandra Murthy, Nagesh R Iyer, Pijush Samui and S.K. Sekar, Rediction of critical stress intensity factor for high strength and ultra high strength concrete using suppor vector regression. Journal of Structural Engineering. 40(3) - (2013),245-253, .
              63. Pijush Samui and J. Karthikeyan, Determination of Strain Energy for Tiggering Liquefaction Based on Gaussian Process Regression. Engineering. 17(4) - (2013),71-78., .
              64. Pijush Samui, Tim Lansivaara and Madhav R. Bhatt, €�least square support vector machine applied to slope reliability analysis. Geotechnical and Geological Engineering. 31(4) - (2013),.
              65. Pijush Samui and J. Karthikeyan, Determination of liquefaction susceptibility of soil: a least square support vector machine approach. International Journal of Numerical and Analytical methods in geomechnics. 37(9) - (2012),1154-1161, .
              66. Pijush Samui and Pradeep Kurup, Multivariate adaptive regression spline (mars) and least squares support vector machine (lssvm) for OCR prediction. Soft Computing. 16(8) - (2012),.
              67. Pradyut Kumar Mudulia, Manas Ranjan Das, Pijush Samui & Sarat Kumar Das,, Uplift Capacity of Suction Caisson in Clay Using Artificial Intelligence Techniques. Marine Georesources & Geotechnology. 31(4) - (2012),375-390, .
              68. Pijush Samui, Support vector classifier analysis of slope. Geomatics, Natural Hazards and Risk,. 4(1) - (2012),.
              69. Pijush Samui and Dookie Kim, Modeling of reservoir induced earthquakes: a multivariate adapative regression spline. Journal of Geophysics and Engineering. 9(5) - (2012),494-497, .
              70. Pijush Samui,, Application of Relevance Vector Machine for Prediction of Ultimate Capacity of Driven Piles in Cohesionless Soils. Geotechnical and Geological Engineering,. 30(5) - (2012),1261-1270, .
              71. Umut Okkan and Pijush Samui, Modeling of Watershed Runoff Using Discrete Wavelet Transform and Support Vector Machines. Fresenius Environmental Bulletin. 21(12b) - (2012),3971–3986, .
              72. Pijush Samui, Multivariate adaptive regression spline (mars) for prediction of elastic modulus of jointed rock mass. Geotechnical and Geological Engineering. 31(1) - (2012),249-253., .
              73. Ceryan, N., Okkan, U., Pijush Samui and Ceryan, S., Modeling of tensile strength of rocks materials based on support vector machines approaches. International Journal for Numerical and Analytical Methods in Geomechanics,. 37(16) - (2012),2655–2670., .
              74. Pijush Samui, Determination of compressive strength of concrete by statistical learning algorithms. Engineering. 17(1) - (2012),111-119., .
              75. Pijush Samui, Applicability of data mining techniques for predicting electrical resistivity of soils based on thermal resistivity. International Journal of Geomechanics. 13(5) - (2012),692–697, .
              76. Pijush Samui, Liquefaction prediction using support vector machine model based on cone penetration data. Frontiers of Structural and Civil Engineering. 7(1) - (2012),72-82, .
              77. Pijush Samui , Application of Support Vector Machine in P-Wave Attenuation in Sandatones. An International Journal of Geotechnics and Environment,. 4(1) - (2012),1-13, .
              78. Pijush Samui, Prasanna H. Gowda, Thomas Oommen, Terry A. Howell, and Thomas H. Marek, Statistical Learning Algorithms for Identifying Contrasting Tillage Practices with Landsat Thematic Mapper Data. International Journal of Remote Sensing. 33(18) - (2012),5732-5745, .
              79. Pijush Samui, and Dookie Kim, €�Utilization Of SVM For Prediction Of Fracture Parameters Of Concrete. Computers and Concrete. 9(3) - (2012),215-226., .
              80. Pijush Samui and Pradeep Kurup, Multivariate adpative regression spline and least square support vector machine for prediction of undrainined shear strength of clay. International Journal of Applied Metaheuristic Computing. 3(2) - (2012),33-42, .
              81. Pijush Samui, J. Karthikeyan, Determination of liquefaction susceptibility of soil based on CPT: a least square support vector machine approach. International Journal of Geotechnics and Environment,. 3(1) - (2011),,75-84., .
              82. Pijush Samui, Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass. Recent Trends in Civil Engineering & Technology. 1(3) - (2011),1-7, .
              83. Pijush Samui,, Utilization of Least Square Support Vector Machine (LSSVM) for Prediction of Liquefaction Susceptibility of Soil. International Journal of Sensing, Computing and Control. 1(2) - (2011),111-116., .
              84. Sarat Kumar Das, Pijush Samui, S. Z, Khan and N. Sivakugan, Machine learning techniques applied to prediction of residual strength of clay. Central European Journal of Geosciences,. 3(4) - (2011),449-461, .
              85. Pijush Samui, least square support vector machine and relevance vector machine for evaluating seismic liquefaction potential using spt. Natural Hazard. 59(2) - (2011),811-822, .
              86. Pijush Samui; Tim Lansivaara; Dookie Kim, utilization relevance vector machine for slope reliability analysis. Applied Soft Computing. 11(5) - (2011),4036-4040., .
              87. Sarat Das, Pijush Samui, Akshaya K Sabat, prediction of field hydraulic conductivity of clay liners using artificial neural network and support vector machine. International Journal of Geomechanics. 12(5) - (2011),606-611., .
              88. Pijush Samui, Subhamoy Bhattacharya and T.G. Sitharam, support vector classifiers for prediction of pile foundation performance in liquified ground during earthquakes. International Journal of Geotechnical Earthquake Engineering. 3(2) - (2011),42-59, .
              89. Pijush Samui, “Least square support vector machine applied to elastic modulus of jointed rock mass. Journal of Rock Mechanics and Tunneling Technology. 17(1) - (2011),5-12, .
              90. Venkatesh S , Pijush Samui , Dookie Kim, and S. K. Sekar, Application of statistical learning algorithm for determination of failure mechanism of interior beam-column join. International journal of earth science and engineering. 4(6) - (2011),.
              91. Pijush Samui and D.P. Kothari, Application of Multivariate Adaptive Regression Splines to Evaporation Losses in Reservoirs. earth science India. 4(1) - (2011),15-20., .
              92. Pijush Samui and D.P. Kothari, utilization of least square support vector machine (lssvm) for slope stability analysis. Scientia Iranica. 18(1A) - (2011),70-78., .
              93. Pijush samui, Multivariate adaptive regression spline applied to friction capacity of driven piles in clay. Geomechnics and engineering:an international journal,. 3(4) - (2011),285-290., .
              94. Pijush Samui, Venkata Ravibabu Mandla, Arun Krishna and Tarun Teja, Prediction of Rainfall Using Support Vector Machine and Relevance Vector Machin. Earth Science India. 4(4) - (2011),188 – 200., .
              95. Pijush Samui, Dookie Kim, and Sarat Das, Uplift capacity of suction caisson in clay using multivariate adapative regression spline. Ocean Engineering. 38(17-18) - (2011),2123-2127, .
              96. Pijush Samui and Sarat Das, Site characterization model using support vector machine and ordinary kriging. International Journal of Intelligent Systems. 20(3) - (2011),261-278, .
              97. Pijush Samui and Pradeep Kurup, Use of relevance vector machine (rvm) for prediction of overconsolidation ratio (OCR). International Journal of Geomechanics. 13(1) - (2011),26-32, .
              98. Nilanjan Mitra and Pijush Samui, Prediction of inelastic mechanisms leading to seismic failure of Interior Reinforced concrete beam-column Connections. Practice Periodical on Structural Design and Construction. 17(3) - (2011),110-118, .
              99. Pijush Samui, Sarat Das, Dookie Kim and Gil Lim Yoon, Determination of compression index for marine clay: a relevance vector machine approach. Marine Georesources & Geotechnology. 30(4) - (2011),263-273, .
              100. 57.Pijush Samui and Sarat das, Relevance Vector Machine for Prediction of Soil Properties. Journal of Civil Engineering Research and Practice. 30(4) - (2011),23-33, .
              101. Pijush Samui, Determination of ultimate capacity of driven piles in cohesionless soil: a multivariate adaptive regression spline (mars) approach. International Journal of Numerical and Analytical Method in Geomechanics. 36(11) - (2011),1434-1439, .
              102. Pijush Samui, and T.G. Sitharam, Application of Geostatistical Models for Estimating Spatial Variability of Rock depth. Engineering. 3(98) - (2011),886-894, .
              103. Kulkrni Kallyan S, Pijush Samui, Dookie Kim, and S.K.Sekar, Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete”. International Journal of Concrete Structures and Materials. 5(1) - (2011),21-25, .
              104. Sarat Kumar Das, Pijush Samui, Dookie Kim, N. Sivakugan and Rajanikanta Biswal, Lateral displacement of liquefaction induced ground using least square support vector machine. Nternational journal of geotechnical earthquake engineering. 2(2) - (2011),29-39, .
              105. Pijush Samui, Linda See, Tawee Chaipimonplin and Pauline Kneale, Advances in data-driven flood forecasting using radar data,. Journal of flood engineering. 2(1) - (2011),129–145, .
              106. Gopinath, KGS, Pal Soumen, Pijush Samui, Sarkar, Bimal,, €�Support Vector Machine and Relevance Vector Machine for Prediction of Alumina and Pore Volume Fraction in Bioceramics. International Journal of Applied Ceramic Technology. 10 - (2012),240 -246, .
              107. Pijush Samui and and R. Hariharan, Modeling of spt seismic liquefaction data using minimax probability machine. Geotechnical and Geological Engineering. 32(3), 699-703.
                International Conferences
                1. Pijush Samui and JS Lin,, SVM: A new tool for geotechnical Engineering, 4th International Workshop on New Frontiers of Computational Geomechanics,.  USA - 2008, .
                2. T.G. Sitharam and Pijush Samui , Three dimensional site characterization models using support vectore machine and ordinary kriging, 3rd International Conference on Site Characterization.  1-6, China - 2008, .
                3. T.G. Sitharam and Pijush Samui, Spatial variability of SPT data using ordinary and disjunctive kriging, ISGSR, China.  1-12, China - 2007, .
                4. T.G. Sitharam and Pijush Samui, Artificial neural network and support vector machine models for evaluating spatial variability of SPT data, NUMOG X, Greece.  653-658, Greece,April - 2007, .
                National Conferences
                1. Pijush Samui,, Application of artificial inteligency in disaster mitigation and management, Disaster Risk Vulnerablity Conference .  101-106., - 2011, .
                2. Pijush Samui and Kim. Dookie, Estimation of Fracture Parameters of concrete Using LS-SVM Model, International Kei spring Conference.  799-800, ,May - 2011, .
                3. Kallyan Kulkarni, Pijush Samui, S.K. Sekar , Prediction of Elastic Modulus of High Strength Concrete Using Artificial Intelligence Technique, Proc. International conference on Civil, Structural and Environmental Engineering (ICSEE), Tiruchengode,.  52-55, - 2011, .
                4. Kallyan Kulkarni, Pijush Samui, S.K. Sekar, Prediction Of Elastic Modulus Of Concrete: By A Soft Computational Approach, proc. National conference for Advances in Materials & structures (AMAS), Pondicherry.  335-338, India - 2011, .
                5. Shrikant Srirambhat, Yuvaraj.P, S.K.Sekar and Pijush Samui, Investigations On Sawdust As Partial Replacement Of Fine Aggregate, St international conference on Science Engineering and Technology (VIT- University, vellore, India)..  Vellor India - 2010, .
                Professional Services
                1. Global Journal of Technology and Optimization
                2. Ocean system engineering
                3. Reviewer of the following journals
                4. Journal of Testing and Evaluation, ASTM , USA
                5. International journal of numerical and analytical methods in Geomechanics, John Wiley & Sons Inc, USA
                6. Georisk, Taylor & Francis, UK
                7. Recent Patents on Computer Science, Bentham Science Publishers
                8. TamKang Journal of Science and Engineering, Taiwan
                9. Center for Advanced Engineering Environments, Elsevier
                10. Geomechanics and Engineering, Techno Press, Korea
                11. Canadian Geotechnical Journal, NRC Research press, Canada
                12. Journal of Civil Engineering, Korean Society of Civil Engineers, Korea
                13. Journal of Engineering and Technology Research, Academic Journals, Kenya
                14. Journal of Engineering Mechanics,ASCE, USA
                15. Journal of Geotechnical and Geoenviromental Engineering
                16. Selected Editorial Board Member in the Following Journal:
                17. Sustainable Infrastructure Systems and Green Engineering Journal(Bentham Science Publishers)
                18. Sustainable Infrastructure Systems and Green Engineering Journal(Bentham Science Publishers)
                19. Journal of Civil Engineering and Construction Technology(Academic Journals, Kenya)
                20. Disaster Advances, India
                21. Journal of Science and Technology Education Research(Academic Journals, Kenya)
                22. International Journal of Ambient Computing and Intelligence (IJACI)
                Projects
                1. Title/Name of the Project: Radical decrease in risk of natural catastrophic disasters amount:4795200 Funding Agency: BRICS
                2. Modeling of spatial variation of soil properties for probabilistic site characterization of Kalpakkam(2011-2013); Funding Agency: IGCAR; Total cost: INR 6,07,200.
                3. Evaluation of Liquefaction resistance of Indian soils using statistical learning algorithms(2011-2014); Funding Agency, BARC; Total cost: INR 10,75,250.
                Phd Students
                1. Rahul Kumar - Reliability analysis of geostructure ( 2016 - Continue).
                2. Sujjet Ummar - Determination of seismic liquefaction ( 2015 - Continue).
                3. J. Karthikeyan - Modeling of Liquefaction Susceptibility of Soil Using Statistical Learning Algoritm2013 ).
                4. Manoj Kumar - Machine Learning Techniques Applied to Rock Properties and Slope Stability2014 ).
                5. Visawanathan R - Modeling of Spatial Variability of Rock Depth and Water Depth of Vellore and Chennai2016 ).