Aastha Khaitan

Aastha Khaitan

Executive Member, DSG IIT Roorkee

Education

  • B. Tech., Mechanical Engineering, IIT Roorkee (2021–2025)

    Research Interests

  • Machine Learning
  • Generative AI
  • Stochastic Modeling
  • Quantum Computing

Projects

  • PINNs for prediction of Lamb Wave dispersion
    Developed a PINN-based approach to solve the eigenvalue problem to plot multi-modal dispersion curves
  • Knowledge Graph Embeddings for VLMs
    Analysed impact of vector and graph embeddings on retrieval generation of VLMs on downstream tasks.
  • AIKavach
    Developed a tool using Randomized Smoothing to provide certifiably robust models
  • Privacy Preserving Quantum Actions using QNNs
    Improved an RL-based image anonymization algorithm using quantum state imagery and built an adversary to test its robustness.

Awards

  • 3rd best project at QIntern’23 [hosted by QWorld]
  • Gold Medal at the Inter-IIT Tech Meet 11.0
  • Top 8 Accenture Strategy Connect [Season 3] finalist (8,000+ candidates)
  • Top 16 global finalist, QETCI Hackathon

Follow

LinkedIn | GitHub

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