Methodology

Developed generalized additive models and Bayesian hierarchical structures to capture population-level and patient-specific wound dynamics. Implemented variational inference for scalable posterior estimation.

Methodology

Implemented Deep Q-Networks with experience replay and target networks. Trained on simulated traffic scenarios with reward shaping for average wait time minimization.

Methodology

Ensemble of VGG-19 and InceptionV3 with temperature scaling for calibration. Implemented conformal prediction framework for distribution-free uncertainty quantification.

Methodology

Implemented SHA-256 password hashing with salt. Used parameterized queries and context-aware output encoding. Designed defense layers: input validation, prepared statements, output encoding.

Methodology

Built perception pipeline using OpenCV for real-time detection. Developed motion planning using Gazebo simulations. Integrated ROS2 nodes for sensor fusion and command execution.

Methodology

Implemented AES-256 encryption for data at rest and transit. Used Android Jetpack for modular architecture. Optimized memory footprint through JVM profiling.