Bringing together Engineering, AI, and Deep Learning
Expert in CNN, LSTM, ViT, hybrid architectures, transfer learning, and attention models.
Hands-on with AE & vibration signals using CWT, STFT, FFT, and wavelet coherence.
Experienced in statistical analysis, UMAP, PCA, dimensionality reduction, and visualization.
Proficient in Python, MATLAB, TensorFlow, PyTorch, and familiar with OriginPro & NI VISTA.
CAD/CAM design, aircraft component documentation, and simulation-based development.
Peer reviewing, mentoring, scientific writing, and presenting at global research conferences.