Dr. Mohd Aman Khalid

Assistant Professor (Research)

Specialization

Structural Engineering

Email

mohd.khalid@thapar.edu

Specialization

Structural Engineering

Email

mohd.khalid@thapar.edu

Dr. Mohd Aman Khalid earned his Ph.D. in Structural Engineering from the Indian Institute of Technology, Delhi. His doctoral research focused on reliability-based robust design optimization, with emphasis on robustness, reliability assessment, and design optimization under uncertainties.

Research Interests:

  • Reliability, Risk, and Safety Analysis
  • Resilient and Sustainable Infrastructure
  • Design under Uncertainties and Optimization
  • Machine Learning Methods
  • Stochastic Modeling and Simulation
  • Structural Dynamics and Vibration Control
  • Design Space Visualization and Decision Making

Publications

  1. M. A. Khalid and S. Bansal, “A two-stage simulation-based framework for reliability-based robust design optimization of systems,” Optimization and Engineering, 2025, DOI: 10.1007/s11081-025-09986-9.
  2. M. A. Khalid and S. Bansal, “Reliability-Based Design Optimization of Systems in Voronoi Tessellation-Based Partitioned Design Space,” Structures, 2025, vol. 71, pp. 108137, DOI: https://doi.org/10.1016/j.istruc.2024.108137.
  3. M. A. Khalid and S. Bansal, “Improved Stochastic Subset Optimization Method for Structural Design Optimization,” Advances in Engineering Software, 2024, DOI: 10.1016/j.advengsoft.2023.103568.
  4. M. A. Khalid and S. Bansal, “On the improvement of design space subsets formulation for iteratively optimizing structural systems,” Journal of Physics: Conference Series, 2024, DOI: 10.1088/1742-6596/2647/21/212002.
  5. M. A. Khalid and S. Bansal, “A Framework for Robust Design Optimization of Tuned Mass Dampers by Stochastic Subset Optimization,” International Journal of Structural Stability and Dynamics, 2023, DOI: 10.1142/ S0219455423501559.
  6. M. A. Khalid, S. Bansal, and V. Ramamohan, “An augmented formulation for robust design optimization of structures using stochastic simulation method,” Research in Engineering Design, vol. 34, no. 2, pp. 179– 200, 2023, DOI: 10.1007/s00163-022-00405-z.
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