- Experience and Knowledge in Main Machine Learning Algorithms (Bayesian networks, Clustering, k-NN, Random Forest)
- Experience and Knowledge in Advanced Machine Learning Techniques (RNN, CNN, LSTM, Supervised Learning, Unsupervised Learning, Reinforcement Learning)
- Experience with Deep learning/Machine learning frameworks (TensorFlow, Caffe and Keras)
- Experience Dynamic System Modelling and Simulation
- Experience and knowledge control theory ranging from modern control to advanced control techniques (Robust/Nonlinear/Adaptive control/Optimal Control theory / Real-Time Control Systems /Fuzzy, LQR, Sliding Mode, Feedback Linearization, MPC, NN)
- Experience in Guidance and Navigation
- Experience in Autonomous Navigation Algorithms/Collision Avoidance
- Experience in Path/Motion Planning Theory and Decision Making
- Experience in Artificial Intelligence