Research

Publications

• EinsteinPy: A Community Python Package for General Relativity, Astrophysics Source Code Library, Bapat S., et. al.
• Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images, Arxiv, Sushant L. et. al.
• Music Emotion Recognition Using CNN-LSTM Architecture With Hybrid Spectral - Temporal Audio Feature Vector, IEEE Access, Pratyush K., et al. (under review)
• Multiclass Classification and Verification of Online Signatures, Research project under Dr. Ramya S., Presented as part of Industrial Training at Manipal Institute of Technology. (A+ Grade)

Research Projects

Active Projects

• Autonomous Indoor Navigation
  
  • Currently developing indoor navigation policies optimized by LLM, based on Q learning algorithm on the turtlebot 3 robot.

Past Projects

• Self Supervised Dense Point Tracking in Turbulent Videos
  

  • Implemented a test-time trained dense point tracking model robust to atmospheric turbulence by leveraging DINOv2 semantic features and RAFT optical flow model - leveraging the DINO-Tracker model - https://dino-tracker.github.io.

  • BMX Trees point tracking with atmospheric turbulence

• Music Emotion Recognition Using Hybrid Spectral - Temporal Feature Vector
  
  • Built a music emotion classification system based on Russell’s two-dimensional valence-arousal model using hybrid Convolutional Neural Network and Long Short Term Memory architectures.
  • Extracted a hybrid spectral-temporal feature vector involving audio fingerprints for training the model.
• Multiclass Classification and Verification of Online Signatures
  
  • Developed a robust signature verification tool that uses time-series data to detect forged signatures and classify signature owners using SVM.
  • Improved model efficiency by reducing the feature dimension using the Ramer-Douglas-Peucker sampling algorithm.