Go Back

Personal Details
NameDr Shobhit Nigam
DesignationAssistant Professor
DepartmentDepartment of Mathematics, School of Technology
EmailShobhit.Nigam@sot.pdpu.ac.in
Educational Qualifications
  • Ph.D (Software Reliability, IIT Dhanbad (ISM Dhanbad)), 2013
  • M.Sc. (Mathematics, IIT Kanpur), 2007
    Professional Affiliation
    IIM Ahmedabad
    Awards
    Qualified GATE 2009, Best paper Award in 4th International Conference on Harmony Search, Soft Computing and Applications held during Feb 7-9, 2018.
    Publications / Articles / Conference
    Research based or onographs/Textbooks published
  • 'Computer Vision and Robotics, Algorithms for Intelligent Systems', Springer Nature, Singapore, Apr 2023
    Articles/Chapters Published in the books
  • 'A Deep Learning Approach to Forecast Cryptocurrency Prices', Springer, Singapore, Nov 2025
  • 'Single Multiplicative Neuron Model in Predicting Crude Oil Prices and Analyzing Lag Effects', Springer Nature, Singapore, Apr 2023
  • 'Single Multiplicative Neuron Model in Reinforcement Learning', , Aug 2018
  • 'Analysis of Class-based Storage Strategies for the Mobile Shelf-based Order Pick System', , Jun 2014
  • 'A Study of Single Multiplicative Neuron (SMN) Model for Software Reliability Prediction', , Jul 2012
    Published Papers in Journals
  • 'Forecasting time series using convolutional neural network with multiplicative neuron', Applied Soft Computing, pp. 1-13, Mar 2025, DOI : https://doi.org/10.1016/j.asoc.2025.112921
  • 'Crude Oil Price Prediction using Artificial Neural Network', Procedia Computer Science, Apr 2020
  • 'Robot-Storage Zone Assignment Strategies in Mobile Fulfillment Systems', Transportation Research Part E: Logistics and Transportation Review, Elsevier, Dec 2018
  • 'Software fault prediction using neuro-fuzzy network and evolutionary learning algorithm', Neural Computing and Applications, Jul 2016
  • 'An Improved Additive Model for Reliability Analysis of Software with Modular Structure', Journal of Applied Mathematics and Informatics, Aug 2012
  • 'Software Fault Prediction using Nonlinear Autoregressive with eXogenous Inputs (NARX) Network', Applied Intelligence, Springer, Jun 2012
  • 'Effect of Change Point and Imperfect Debugging in Software Reliability and its Optimal Release Policy', Mathematical and Computer Modeling of Dynamical System, Mar 2012
  • 'Best Subset Selection of ARMA and ARIMA Models for Software Reliability Estimation', International Journal of Modelling and Simulation, Mar 2011
  • 'Application of fuzzy time series in prediction of time between failures & faults in software reliability assessment', Fuzzy Information & Engineering, May 2011
  • 'Transfer Function Modelling in Software Reliability', Computing, Springer, Mar 2011
  • 'Combined effect of fault detection and fault introduction rate on software reliability modelling', Statistics in Transition, Dec 2009
    Papers presented in Conferences, Seminars, Workshops, Symposia

  • 'A deep learning approach to forecast cryptocurrency prices', 9th International Conference on Data Management, Analytics & Innovation, jan 2025
  • 'Performance Evaluation of Mobile-Shelf Based Order Pick System', Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy, Feb 2020
  • 'A Soft Computing Approach for Stock Price Prediction', 6th International Conference on Operation Research and Statistics, Apr 2018
  • 'Single Multiplicative Neuron Model in Reinforcement Learning ', 4th International Conference on Harmony search, Soft computing and Applications (ICHSA 2018), Feb 2018