Merve Elif Demirtas

- Handled data imbalance issue by collecting, cleaning, analysing, and augmenting the plant dataset. - Implemented Computer Vision models such as Classication and Object Detection to eliminate the manual processes for customers who need to enter the type of plant to the mobile application. - Calculated plant-leaf area by a Segmentation model to provide plant scientist. - Implemented Machine Learning pipeline to integrate Computer Vision models.

- Compared different Autoencoders and LSTM Deep Learning models in order to detect anomalous signals received by Unmanned Aerial Vehicles (UAVs). - Implemented a laser health check system involving comparisons of actual and historical altitude data versus the received signals for UAVs.

- Implemented Computer Vision models for group-level emotion recognition on video dataset - Applied, alternatively, classical feature extraction methods to combine with LSTM architectures.