Assistant Professor

Dr Bhagwat Ram

Department of Computer Science and Engineering

Interests

  1. Numerical Optimisation
  2. Logistics & Supply Chain Management
  3. Digital Transformation

Faculty Details

Education

2007

Sambalpur University,
Sambalpur
BCA

2009

Sambalpur University,
Sambalpur
Master of Computer Science

2021

Banaras Hindu University,
Varanasi
Ph.D. in Computer Science

Experience

    • July 2009 - Feb 2016 - Assistant Professor - NIMS University Rajasthan
    • August 2021 - April 2024 - Centre Postdoctoral Fellow - Centre for Digital Transformation, Indian Institute of Management Ahmedabad
    • June 2024 - May 2025 - Delhi School of Analytics, Institution of Eminence, University of Delhi

Research Interests

    • Generalised Gradient Descent Methods for Unconstrained Optimisation Problems
    • Analytical and Simulation Model for Digital Transformation
    • Optimising the Efficient Path for delivering products to the Customers

Awards & Fellowships

  • 2024 - Maharishi Kanad Postdoctoral Fellow Institution of Eminence, University of Delhi
  • 2018 - International Travel Grant-CSIR
  • 2018 - UGC-SRF- University Grants Commission
  • 2015 - UGC-JRF – University Grants Commission

Publications

  • Ram, B., Lai, K. K., & Xiao, F. (2024). Retail reimagined: pricing optimization in single channel,
    multi-channel and omni-channel retailing. Annals of Operations Research, 1-26.
  • Xiao, F., Lai, K. K., Lau, C. K., & Ram, B. (2024). Robust Overbooking for no-shows and cancellations in healthcare. Mathematics, 12(16), 2563.
  • Lai KK, Mishra SK, Ram B, Sharma R. A Conjugate Gradient Method: Quantum Spectral Polak–Ribiére–Polyak Approach for Unconstrained Optimization Problems. Mathematics. 2023 Dec 3;11(23):4857.
  • Li, J., Fu, H., Lai, K. K., & Ram, B. (2023). A city Logistics distribution model: a physical internet approach. Processes, 11(11), 3198.
  • Zhang, B., Sun, L., Yang, M., Lai, K. K., & Ram, B. (2023). A robust optimization Approach for
    Smart Energy Market Revenue Management. Energies, 16(19), 7000.
  • Lai, K. K., Mishra, S. K., Sharma, R., Sharma, M., & Ram, B. (2023). A modified q-BFGS
    algorithm for unconstrained optimization. Mathematics, 11(6), 1420.
  • Li, J., Liu, H., Lai, K. K., & Ram, B. (2022). Vehicle and UAV collaborative delivery path optimization model. Mathematics, 10(20), 3744.
  • Xu, Y., Wang, M., Lai, K. K., & Ram, B. (2022). A stochastic model for shipping container terminal storage management. Journal of Marine Science and Engineering, 10(10), 1429.
  • Li, J., Cheng, W., Lai, K. K., & Ram, B. (2022). Multi-AGV flexible manufacturing cell scheduling considering charging. Mathematics, 10(19), 3417.
  • Gao, Y., Zhang, Q., Lau, C. K., & Ram, B. (2022). Robust Appointment Scheduling in Healthcare. Mathematics, 10(22), 4317.
  • Li, J., Fu, H., Lai, K. K., & Ram, B. (2022). Optimization of multi-objective mobile emergency material allocation for sudden disasters. Frontiers in Public Health, 10, 927241.
  • Mishra, S. K., Rajković, P., Samei, M. E., Chakraborty, S. K., Ram, B., & Kaabar, M. K. (2021). A q-gradient descent algorithm with quasi-fejér convergence for unconstrained optimization problems. Fractal and Fractional, 5(3), 110.
  • Lai, K. K., Mishra, S. K., Panda, G., Chakraborty, S. K., Samei, M. E., & Ram, B. (2021). A limited memory q-BFGS algorithm for unconstrained optimization problems. Journal of Applied Mathematics and Computing, 66, 183-202.
  • Mishra, S. K., Samei, M. E., Chakraborty, S. K., & Ram, B. (2021). On q-variant of Dai–Yuan conjugate gradient algorithm for unconstrained optimization problems. Nonlinear Dynamics, 104, 2471-2496.
  • Samei, M. E., Ahmadi, A., Hajiseyedazizi, S. N., Mishra, S. K., & Ram, B. (2021). The existence of nonnegative solutions for a nonlinear fractional q-differential problem via a different numerical approach. Journal of Inequalities and Applications, 2021(1), 75.
  • Mishra, S. K., Chakraborty, S. K., Samei, M. E., & Ram, B. (2021). A q-Polak–Ribière–Polyak conjugate gradient algorithm for unconstrained optimization problems. Journal of Inequalities and Applications, 2021(1), 25.
  • Lai, K. K., Mishra, S. K., & Ram, B. A q-Conjugate gradient algorithm for unconstrained optimization problems, Pacific Journal of Optimization, 2021(1),23.
  • Mishra, S. K., Panda, G., Chakraborty, S. K., Samei, M. E., & Ram, B. (2020). On q-BFGS algorithm for unconstrained optimization problems. Advances in Difference Equations, 2020(1), 638.
  • Mishra, S. K., Panda, G., Ansary, M. A. T., & Ram, B. (2020). On q-Newton’s method for unconstrained multiobjective optimization problems. Journal of Applied Mathematics and Computing, 63, 391-410.
  • Lai, K. K., Mishra, S. K., & Ram, B. (2020). On q-quasi-Newton’s method for unconstrained
    multiobjective optimization problems. Mathematics, 8(4), 616.
  • Lai, K. K., Mishra, S. K., Panda, G., Ansary, M. A. T., & Ram, B. (2020). On q-steepest descent
    method for unconstrained multiobjective optimization problems. AIMS Math, 5(6), 5521-5540.
  • Mishra, R., & Ram, B. (2020). Portfolio selection using R. Yugoslav Journal of Operations Research, 30(2), 137-146.

Textbooks/Monograph

    • Ram, B., Mishra, S. K., Lai, K. K., & Rajković, P. (2024). Unconstrained Optimization and Quantum Calculus. Springer.
    • Mishra, S. K., & Ram, B. (2019). Introduction to unconstrained optimization with R. Springer Nature.
    • Mishra, S. K., & Ram, B. (2017). Introduction to linear programming with MATLAB. Chapman and Hall/CRC.

Contact Details

E-mail id: bhagwat.r@srmap.edu.in

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