Data-Driven Modeling and Control

Process Analytics and Machine Learning

(Visiting) Process Monitoring and Fault Diagnosis in Industrial Processes

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

Process Analytics and Machine Learning Techniques for the Kraft Pulping Process

Data-based Deep Optimal Feature Learning

Process Analytics and Machine Learning for Product Monitoring and Bottleneck Identification

TxMed (Timely and Extended Monitoring in Emergencies and Disasters)

Application of Reinforcement Learning to Cell Therapy Manufacturing