Research activities:
In the first part of my Ph.D., which I am currently working on, I am focusing on green AI, which entails establishing strategies to assure a decrease of the carbon footprint of current processes (process redesign) and building business processes that are a priori planned to minimize and maybe optimize the carbon footprint. My objective is to create machine learning models, symbolic AI techniques, and sensor-based data collection strategies that, when combined, allow for the gathering of data from processes throughout the life cycles of agriculture, industry, and energy production in order to create an automated method for verifying business processes that, in addition to ensuring accuracy, compliance, and goal achievement, also verifies environmental sustainability by enforcing predefined constraints.