Thesis title: "Explainable AI via Bayesian Learning"
Advised by Helen Hastie and Arash Eshghi (Heriot-Watt University).
Research project sponsored by Schlumberger Cambridge Research Ltd.

Thesis title: “Well Performance Analysis – A prototype for Time-Series Forecasting”.
Advised by Wei Pang and Sander Mos (Adv. Data Analytics Chevron).

Thesis title: “Corossion risk of the offshore structures in the Black Sea Environment”, supervised by Zăgan Remus.

Thesis title: “Kinematic and dynamic study of humanoid robots”, supervised by Spânu Alina.

Devloping explainable Bayesian Networks using Natural Language explanations and visualisation techniques.

Developing a prototype for predicting the performance of the oil and gas reservoir management, by combining an LSTM model with Symbolic Aggregate Approximation modeling (SAX-LSTM).

Coordinating resources and ensuring timely execution of plant operations.
Planning and scheduling preventive and routine maintenance programs.