Research Project
HEPTA (Helmholtz European Partnership for Technological Advancement) – Topic area 3: Smart Cities
Overview
HEPTA promotes cooperation between Aristotle University of Thessaloniki (AUTh) and the Karlsruhe Institute of Technology (KIT) in the development of sustainable technologies in the fields of air quality, atmospheric physics, biomass and smart cities. The “Topic area 3: Smart Cities” component focuses on applying machine-learning and modelling techniques to urban phenomena, especially those involving aerosol/gas distribution and use of heterogeneous data sources in city/urban mobility contexts. HEPTA has three stated goals: Establish a formal link between AUTh and KIT for technology development, particularly in climate, energy and environment. Promote young researchers with a strict gender parity proportion. Expand the cooperation between the two institutions with a long-term perspective, aiming to accelerate the transfer of research results into concrete applications with industry.
Our Goal
Develop surrogate/inverse modelling of physical phenomena in urban settings using machine learning (for example aerosol and gas distributions in cities). Employ advanced statistical and machine-learning methods (Gaussian Processes, Bayesian/deterministic neural networks) to model spatio-temporal urban environmental phenomena. Fit (land-use) regression models driven by mobile & stationary low-cost sensors (even un-calibrated, noisy), and combine them with other heterogeneous static/dynamic data sources (traffic sensors, satellite images, news reports) related to cities and urban mobility.