Researched mesh inpainting techniques comparing 3+ traditional geometric and generative approaches. Achieved 26% improvement in Haussdorff distance and 250% PSNR increase using NeRF-based approaches.
Developed noise-robust speech recognition pipeline achieving 68% WER reduction (from 99.77% to 31.69%) at -10 dB SNR conditions by combining Wave-U-Net source separation with Wav2vec2.0.
Investigated fractal boundaries in neural network trainability using chaos theory analysis and maximum Lyapunov Characteristic Exponents (mLCE) across varying architectures with fractal dimension of 1.3429.
Time-Frequency Analysis, Real-time DSP, Multidimensional Signal Processing, Speech Recognition & Compression, Mathematical Foundations of ML, Machine Vision & Pattern Recognition, Spatial Audio, IoT, XR Design, Sensor Fusion