I am a PhD candidate in Mechanical Engineering at Villanova University, where my research combines biomechanics, finite element analysis, and machine learning to better understand and prevent musculoskeletal stress fractures.

My background spans computational modeling, structural health monitoring, geothermal energy research, and biomedical data analysis. Before joining Villanova, I earned my Master’s and Bachelor’s degrees in Mechanical Engineering from Central Michigan University. I am especially interested in developing data-driven and physics-based tools that improve prediction, reduce experimentation time, and support innovations in injury prevention, healthcare, and bio-inspired material design.

• Convolutional neural network for identifying effective seismic force at a DRM layer for rapid reconstruction of SH ground motions
  Shashwat Maharjan, Bruno Guidio, and Chanseok Jeong. Earthquake Engineering & Structural Dynamics, 2024.
• Level-set and learn: convolutional neural network for classification of elements to identify an arbitrary number of voids in a 2D solid using elastic waves
  Fazle Mahdi Pranto, Shashwat Maharjan, and Chanseok Jeong. Journal of Engineering Mechanics, 2023.
• Deep and Convolutional Neural Networks for identifying vertically-propagating incoming seismic wave motion into a heterogeneous, damped soil column
  Shashwat Maharjan, Bruno Guidio, Arash Fathi, and Chanseok Jeong. Soil Dynamics and Earthquake Engineering, 2022.