5G-enabled Smart Buildings for Energy and Space Management

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

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

RNN Approximation of Mathematical Models 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

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

Deep Reinforcement Learning for Real-time Optimization

Application of Reinforcement Learning to Cell Therapy Manufacturing

Recurrent Neural Networks with Variational Autoencoders for Predicting Linear MIMO Parameters with Uncertainty

Data Visualization and Analysis for Large-Dimensional Model Predictive Controllers