Sushil Kumar

I am a PhD-trained biomechanical engineer focused on in-silico studies of traumatic brain injuries and personalized finite-element modeling. My work combines computational simulation, experimental testing, and machine learning to improve injury prediction for real-world fall and road-traffic accidents.

I developed an accident-reconstruction framework using MADYMO, LS-DYNA and MATLAB that predicts head impact orientation within ±10° of clinical reports and improved injury prediction metrics by over 25% through model personalization. I co-developed a 50th percentile Indian anthropometry FE head model to study subdural hematoma biomechanics.

I have run and validated biomechanical experiments including tensile/compression testing, drop-tower and implant fatigue studies, integrating DAQ systems and statistical analyses in MATLAB and Python. I contributed to a biomechanical nailing-implant study that identified sagittal instability thresholds in distal tibial fractures.

I hold multiple scholarly publications and grants, including a Volvo Foundation research grant and national fellowships, and I present at international conferences. I seek to apply my simulation, experimental and ML skills to develop safety solutions, personalized injury assessment tools, or research-driven product development in biomechanics.