Shashwat Maharjan

PhD Candidate, Mechanical Engineering

Villanova University

Shashwat Maharjan

Education

Villanova University Ph.D. in Mechanical Engineering
Expected 2028 Villanova, PA
Central Michigan University Master of Science in Mechanical Engineering Bachelor of Science in Mechanical Engineering
2024 Mount Pleasant, MI

Experience

Geologica Geothermal Group Research Intern
May 2023 – April 2024 San Diego, CA
  • Optimized Volsung automation with Python, reducing processing time by 70% and enabling faster decision-making for geothermal field assessments.
  • Built TensorFlow ML models for static formation temperature estimation, boosting accuracy by 35% to improve drilling safety.
  • Modeled a generalized geothermal well to simulate subsurface heat transfer and fluid flow, creating a scalable framework for project evaluation.
Brown University Neuroscience Research Intern
May 2022 – Aug 2022 Providence, RI
  • Automated data analysis by developing MATLAB and Python scripts, reducing manual processing time by 80%.
  • Applied advanced signal processing on high-resolution sensor data, doubling data throughput and accuracy.
  • Achieved 1ms verification accuracy for neurophysiological results, boosting experimental reliability by 25%.

Selected Projects

Bio-Inspired Dental Composites Simulation
Abaqus Python MATLAB

Designing functionally graded interfaces between ceramic and polymer layers to reduce interfacial stresses and enhance the durability of dental restorations, inspired by the natural dento-enamel junction between the enamel and dentin in human teeth.

Developing a Stress Fracture Risk Prediction Tool
Abaqus ScanIP ImageJ

Developing an athlete-specific tibial stress fracture risk prediction pipeline that combines baseline CT-derived geometry, image-based finite element simulations, and a trained machine learning model to quickly estimate stress/strain at common fracture sites.

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Selected Publications

  • Kim, B., Maharjan, S., Guidio, B., Thomas, J., Pranto, F. M., Schaal, C., & Jeong, C. (2026). "Elastodynamic imaging of voids in a PML-truncated layered solid using a deep convolutional neural network." Engineering Geology. Paper
  • Maharjan, S., Guidio, B., & Jeong, C. (2024). "Convolutional neural network for identifying effective seismic force at a DRM layer for rapid reconstruction of SH ground motions." Earthquake Engineering & Structural Dynamics. Paper
  • Maharjan, S., Guidio, B., Fathi, A., & Jeong, C. (2022). "Deep and Convolutional Neural Networks for Identifying Vertically Propagating Incoming Seismic Wave Motion into a Heterogeneous, Damped Soil Column." Soil Dynamics and Earthquake Engineering. Paper
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Selected Awards

  • DOE/NSF INTERN Research Grant $110,000 Funding
    2023 – 2024 | U.S. Dept. of Energy & NSF
    Two consecutive competitive grants ($55k each) for industry research internships at Geologica Geothermal Group.
  • Outstanding Undergraduate Student of the Year $2,500 Funding
    2022 | Engineering Society of Detroit (ESD) — Selected as the top undergraduate engineering student in the state of Michigan for academic excellence and professional service.
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