“The whole is greater than the sum of its parts.” - Aristotle

Our research focus is on developing integrated design methods that provide system-wide solutions for complex dynamic engineering systems. This research incorporates several related fields for efficient design space exploration and optimal system design: automated computational design synthesis for discrete topology design (system architecture generation); machine learning, data science and constraint programming techniques; integrated plant and control design (codesign) using model-based approaches and optimization theory. Current example applications are high-tech powertrain systems (e-machines, fuel cells, engines, transmissions, batteries, thermal management systems, controls, etc.) for the automotive (cars, trucks, buses, machinery equipment), maritime (tugs, work boats, ferries), and aerospace engineering (drones, planes) field and advanced energy charging infrastructures (e-trucks, e-ships, e-planes). Results are new computer-aided engineering methods, state-of-art (low-/high-level) control designs and software tools for product design making complex products affordable and in a reduced amount of time.

We aim at developing integrated design methods that provide system-wide solutions for complex dynamic engineering systems