Raghav Sharma

About

I am an International Baccalaureate Diploma Programme (IBDP) student at Navrachana International School, India, with research interests spanning digital twins, AI-driven signal processing, and applied machine learning in finance. I have authored preprints, journal articles, and open-source software with DOIs archived on TechRxiv and Zenodo, covering topics from predictive maintenance simulations to AI-powered real-time music effects. My work emphasizes reproducibility and innovation at the intersection of engineering and data science.

Employment

Employment history is unavailable.

Education

• Navrachana International School IBDP
  2024 - 2026

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• A Simulation-Based Digital Twin Framework for Predictive Maintenance of DC Motors
  2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA) 2025 DOI: 10.1109/iccca66364.2025.11325720
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• A Hybrid Sentiment–Technical Framework for Forecasting Dow Jones Industrial Average Movements Using FinBERT and XGBoost
  2025 DOI: 10.36227/techrxiv.175699539.94947703/v1
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• raghav-sharma-15/digital_twin_dc_motor: v1.0.0 — DC Motor Digital Twin (10,000-hr Predictive Maintenance Simulation)
  Zenodo 2025 DOI: 10.5281/ZENODO.16959525
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• raghav-sharma-15/ai_guitar_pedal: v1.0.0 — AI Guitar Pedal (Real-time Genre-Aware FX)
  Zenodo 2025 DOI: 10.5281/ZENODO.16949239
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• stock_djia_sentiment
  Zenodo 2025 DOI: 10.5281/ZENODO.16948970
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• Digital Twins as Enablers of Industry 5.0: An Analytical Review of Manufacturing Applications and Challenges
  United International Journal of Engineering and Sciences (UIJES) 2025
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