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Dr. Deepak Sharma

Assistant Professor
Department of Mechanical Engineering
Email:
deepak.mec@Iitbhu.ac.in
Phone(s):
+91-8461876587
Website:
https://scholar.google.com/citations?user=bceyJeQAAAAJ&hl=en
Area of Interest:
High Performance Scientific Computing; GPU-accelerated FEM, AI and Differentiable simulation frameworks for problems in computational mechanics, including Inverse Material Design, Topology Optimization, Fracture and Fatigue analysis

Ph.D. in Mechanical Engineering (2024), Indian Institute of Technology Roorkee, India

M.Tech. in Mechanical Engineering (2019), Indian Institute of Technology Roorkee, India

B.Tech. in Mechanical Engineering (2017), Maulana Azad National Institute of Technology Bhopal, India

Assistant Professor, Department of Mechanical Engineering, IIT (BHU) Varanasi (July 2026 - present)

Post-Doctoral Fellow, McCormick School of Engineering,  Northwestern University, Illinois, USA (June 2024 - June 2026)

  1. ME-207: Mechanical Measurements 
  2. ME-104: Engineering Drawing

  • Sharma D., Salgado I., Huang L., Asimba B., Wang H. and Cao J. (2026). JAX-FEM-ANISO: Differentiable GPU-Accelerated Finite Element Framework for Inverse Identification of Finite-Strain Anisotropic Plasticity. arXiv. [DOI]. (Under review)

  • Wright C., Hu F., Groves J, Sharma D. , Thurston B., Daehn G., Groeber M, Cao J. (2026). JAX-FORGE: GPU-accelerated high-fi delity simulation for incremental open-die forging. CIRP Annals Manufacturing Technology. [DOI]

  • Chandrasekhar A., Knapik S., Sharma D. , Reidy J., McCue I., Cao J., and Chen W. (2026). Tobaco: topology optimization via band-limited coordinate networks for compositionally graded alloys. Structural and Multidisciplinary Optimization. [DOI]

  • Sharma D. , Singh I. V., Kumar J., and Ahmad S. (2024). Microstructure-based fatigue life prediction of polycrystalline materials using SFEM and CDM. International Journal of Fracture. [DOI]

  • Sharma D. , Singh I. V., and Kumar J. (2023). A computational framework based on 3D microstructure modelling to predict the mechanical behaviour of polycrystalline materials. International Journal of Mechanical Sciences. [DOI]

  • Sharma D. , Singh I. V., and Kumar J. (2022). A microstructure-based elasto-plastic polygonal FEM and CDM approach to evaluate LCF life in titanium alloys. International Journal of Mechanical Sciences.[DOI]

  • Sharma D. , Pandey V. B., Singh I. V., Natarajan S., Kumar J., and Ahmad S. (2021). A polygonal FEM and continuum damage mechanics based framework for stochastic simulation of fatigue life scatter in duplex microstructure titanium alloys. Mechanics of Materials.[DOI]