黑料福利网 MSc academic award nominees
Entanglement Generation and Gate Fidelity Enhancement via Correlated Noise in Spin Qubits
APPLIED PHYSICS
Spatially correlated noise is usually a problem for quantum computers. This research shows it can also be a resource: it can generate robust three-qubit entanglement and reveal better operating regimes for high-fidelity multi-qubit gates in realistic spin-qubit devices.
I wanted to understand whether quantum noise is always a problem. The answer was surprising: under the right conditions, the same correlations that cause errors can also create entanglement and improve gate performance.
An Integrated Framework for Optimizing Powertrain Design in Electric Motorcycles
AUTOMOTIVE TECHNOLOGY
This thesis develops an integrated optimization framework for electric motorcycles, maximizing energy efficiency and vehicle handling while ensuring optimal component placement. It eliminates the manual effort of traditional, isolated engineering workflows, reducing design time and costs, and supports sustainable transport by uncovering hidden vehicle performance gains.
I don't just want to build an electric motorcycle; I want to create a framework that calculates the perfect layout for the best possible handling and performance.
Engineering DNA origami for T-cell modulation through controlled ligand placement
BIOMEDICAL ENGINEERING
DNA origami nanoparticles offer a controllable platform to study how the exact placement of two main T-cell activators affects T-cell activation. By arranging these molecules in defined patterns, we show that their spatial organization changes activation strength, emphasizing that precise ligand patterning can be used to control immune responses.
We often try to alter biological responses, but understanding how they emerge is where design truly starts.
Ions on the Move Measuring Mobile Ions in Metal-Halide Perovskite Solar Cells
CHEMICAL ENGINEERING
Perovskite solar cells can make energy cheaper and more sustainable, but their long-term stability remains a key challenge. This project investigates how tiny moving ions inside these cells influence performance and degradation. By developing and improving measurement methods and deepening the understanding ofdegradation mechanisms, the research supports the development of more durable and efficient solar panels.
A deeper understanding of what happens inside solar cells is key to making them more efficient.
Decentralization in Practice: An Empirical Analysis of the Architecture, Usage Patterns, and Privacy Risks of Commercial Decentralized VPNs
COMPUTER SCIENCE AND ENGINEERING
Decentralized VPNs promise safer, censorship-resistant internet access, but do they work that way in practice? My thesis tested real networks, revealing hidden centralization, everyday usage patterns, and risks for users and node operators. It helps society choose and design privacy tools that are transparent, accountable, and genuinely protective.
The future of online privacy depends not only on new technology, but on proving that we can trust it.
SPINE: Local Enriched Decision Boundary Map Visualisation for Machine Learning Classifiers
DATA SCIENCE & ARTIFICIAL INTELLIGENCE
AI now helps doctors read medical scans, but can we trust decisions we can't see? My project visualises the decision boundary of AI models, revealing the reasoning behind each prediction. These clearer, more reliable explanations give doctors the confidence to use AI safely in patient care.
What you see is all there is.
Efficient CSI Prediction for Precoder Design in mmWave Massive MIMO Systems Using Machine Learning
ELECTRICAL ENGINEERING
We want to send more data every day, but there is a limited amount of frequencies to do so. Modern networks try to send more messages by aiming a beam directly at your phone. However if you move we need to re-aim the beam. I researched ways to predict how to re-aim these beams after movements
Neural networks are useless if they can't answer in time.
A Mathematical Model for a Two-Dimensional lens-Reflector System
INDUSTRIAL AND APPLIED MATHEMATICS
LEDs are energy efficient, but without well-designed optics, much of their light is wasted. My research developed innovative mathematical models for designing optical systems combining lenses and mirrors to direct light precisely where it is needed. This reduces energy waste and enables more sustainable lighting, from supermarket fridges to indoor lighting.
I believe the path to sustainable lighting runs through elegant mathematics.
Soft Interfaces: Electroosmotic Pumps for Reciprocal Interaction
INDUSTRIAL DESIGN
Soft Interfaces explores a future where soft materials can sense and respond. By embedding sensing and actuation directly into textiles and surfaces, interaction is no longer added through screens, buttons, or controls, but becomes part of the material itself. Through electroosmotic pumps, this thesis explores how movement and touch can create intuitive interaction design.
Soft Interfaces explores a future where interaction is embedded into the materials around us, emerging only when needed.
How Structure and Functioning Inform Ecosystem Orchestration in Emerging-Technology Ecosystems: Theory and Evidence from Integrated Photonics
INNOVATION MANAGEMENT
How do we turn billions in investment into deep-tech ecosystems, like PhotonDelta鈥檚 integrated photonics ecosystem, into thriving engines of innovation and economic development? I develop actionable theory for why we need ecosystems, and how they become globally competitive. This has resulted in 3 top-journal papers and direct deep-tech policy impact.
By effectively orchestrating deep-tech ecosystems, we can light the way to a healthier, safer, and more prosperous Europe.
Navigating Service Failures The Role of Humour and Apologies in Service Robot Interactions
HUMAN TECHNOLOGY INTERACTION
This thesis investigated how service robots should communicate after making a mistake. By comparingdifferent types of humour and apologies, it shows that self鈥慸eprecating humour helps robots restore revisitintention and satisfaction. These insights support designing customer鈥慺acing robots that handle errors more effectively and improve everyday human鈥搑obot interactions.
The most meaningful technological progress happens when human needs andtechnical capabilities evolve together.
Numerical Design and Optimization of a Hydrogen Micromix Combustor for a 2.5 kWe Micro Gas Turbine
SUSTAINABLE ENERGY TECHNOLOGY
To help accelerate the energy transition, hydrogen combustion must become safe, clean and practical. This research designs and optimizes an innovative hydrogen combustor for gas turbines. By replacing one large flame with many miniature flames, it improves operational safety and reduces harmful emissions, enabling lightweight power systems for the future.
Clean hydrogen power depends not only on the fuel, but on the systems we build around it.