Data-driven Models for Complex Fluid Flow in Porous Media

5G-enabled Smart Buildings for Energy and Space Management

Stochastic Optimization of Power System Planning and Operation

Bayesian Theory, Probabilistic Graphical Model, Machine Learning, and Process Monitoring

Performance Prediction of a Photovoltaic Assisted Single-Slope Solar Still via ML Models

Advanced Process Control and Automation of Industrial Processes

Sensor Fusion and Soft Sensor Design with Utilization of Machine Learning Techniques for the Process Industry

Industry 4.0 and Advanced Manufacturing

Bayesian Inference, System Identification, Data Analytics, and Machine Learning

Modeling, Control and Optimization of Battery Systems

Scientific Machine Learning, Scientific Computing, Simulation and Modeling of Li-ion Batteries

Soft Sensor Design and Causality Extraction in Industrial Processes

Developing Predictive Analytics Techniques Towards Fault Detection in an Electric Arc Furnace

Deep Reinforcement Learning Algorithms for Maintenance-free Control in Industrial Applications

Data Analytic Techniques for Cell Therapy

Deep Reinforcement Learning for Wheat Crop Modelling

Process Analytics and Machine Learning Techniques for the Kraft Pulping Process

Data-based Deep Optimal Feature Learning

Optimization of Biomass Supply Chains

Deep Reinforcement Learning Algorithms for Maintenance-free Control

Gain Matrix Conditioning

Reinforcement Learning for Multi-loop PID Controllers

Machine Learning For Regenerative Medical Therapies

Deep Learning Algorithms for Maintenance-free Control Systems

Application of Reinforcement Learning to Cell Therapy Manufacturing