Scenario generation for optimization-based design and operation of multimodal energy systems under uncertainty
Prof. Alexander Mitsos, Ph. D.
I like the idea of building connections between different fields of research through common methods and idea.
Normalizing Flow-Based Scenario Generation for Energy System Optimization
Stochastic timeseries analysis in electric power systems and paleo-climate data
Prof. Dr. Christian Beck
Dr. Benjamin Schäfer
Stochastic timeseries analysis in electric power systems and paleo-climate data
Statistic and data-based methods for energy system analysis and modelling
Prof. Dr. Astrid Kiendler-Scharr
I would like to understand how we can implement and operate future renewable energy systems that are governed by different heterogeneous time series and their complex interactions.
Machine learning of power grid frequency dynamics and control: prediction, explanation and stochastic modelling
Prediction of ligand protein interactions and brain signalling cascades using machine learning approaches: olfaction as a test scenario.
Jun-Prof. Dr. Mercedes Alfonso Prieto
taking into account my previous experiences, trainings and desire for the near future, in my opinion HDS-LEE program will fit perfectly in my background and with my goals. Moreover, the program is shaped so as to give me the opportunity to improve in my field and to learn very useful notions of related fields, helping me to become a well-rounded scientist.
RepOdor: a Manually-Curated, Comprehensive Repository of Odorants and their Olfactory Receptors
Probabilistic Simulation and Uncertainty Quantification for Earth Surface Processes
I want to learn about advanced data science methodologies and technologies from leading researchers.
