Ing. Shariq Ahmed

Developed cloud-based unsupervised frameworks for optimizing lighting functions by: - PCA, K-means clustering with MLP-Regressor to predict lumen degradation - Anomaly detector based on LSTM Auto-encoder for the isolation of anomalies

Developed an automated real-time data acquisition system for headlamp by: - Control model design in Simulink to monitor and tune variables in dSPACEControl Desk - Establishing a UDP communication channel between R-pi and MABX II for real-time condition monitoring of LEDs and sensor signals in Grafana