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Making parallel programming easier to understand and verify with a data-centered approach
PhD researcher Tom Franken developed new methods to make parallel programming easier to design, understand, and verify by introducing a new…
New framework brings automation and flexibility to Gaussian Processes
Hoang Nguyen defended his PhD thesis at the Department of Electrical Engineering on June 4th.
Smart selling for less waste
PhD research shows how dynamic selling strategies improve profit and reduce waste in multiproduct inventory systems facing uncertain demand.
How automated vehicles could eliminate ghost traffic jams
Redmer de Haan defended his PhD thesis at the Department of Mechanical Engineering on June 3rd.
Teaching machines to make better decisions when they can't see the full picture
Roy van Zuijlen defended his PhD thesis at the Department of Mechanical Engineering on June 2nd.
Making cryptography trustworthy in the age of quantum computers
Matthias Meijers鈥� PhD research focuses on making cryptography more trustworthy by using computer-assisted proofs to verify the security of…
Making turbulence simulations more reliable with physics-aware AI
PhD researcher Syver Agdestein developed new ways to make AI turbulence simulations more reliable for engineering applications.
Fair Charging, Shared Streets
Research by Milan Tamis shows how trust, norms, and everyday choices help neighbours share public EV charging points fairly, informing…
Enabling renewable energy for small island power grids through battery control systems
Clint Ally defended his PhD thesis at the Department of Electrical Engineering on 20 January.
Designing Space for Human Meaning in an Automated World
Yunxing Liu鈥檚 doctoral research shows how hybrid interfaces and carefully applied AI can scale qualitative insight while preserving people鈥檚…
Making complex software systems easier to understand
PhD researcher Satrio Rukmono investigated how to better understand and explain the architecture of large software systems using software…
Teaching AI the laws of physics for faster and more reliable simulations
PhD researcher Philipp Horn studied how neural networks can be designed to respect the laws of physics, making computer simulations faster,…