Discover inspiring research stories at the Faculty of EEMCS, and see how they are shaping the future.
At EEMCS, our expertise in Electrical Engineering, Mathematics, and Computer Science drives meaningful contributions to key societal challenges—safety, health, climate, and chip technology—aligned with UT’s impact domains.
Explore the interviews below to discover inspiring personal stories from our staff and students.
Climate
Asking ChatGPT what's for dinner? Here's how much energy that costs
We ask AI tools quick questions, but PhD candidate Lola Solovyeva studies the costs behind those answers: the significant energy use of large language models.
Can a tiny wire make solar cells more efficient?
If you cycle through any Dutch neighbourhood you’ll see rooftops full of seemingly simple black solar panels, but inside each one sits a delicate piece of technology that Jonas Valentijn is working to improve.
Cybersecurity
How safe is your smart home?
Chakshu Gupta studies how network traffic can reveal what smart devices are doing and what that means for our privacy.
Can AI outsmart hackers?
Thijs van Ede is exploring how AI can help detect and stop cyberattacks and what limits we should set before we let it act on its own.
How the internet keeps flowing
Ever wondered what happens beneath the waves when part of the internet breaks? Master’s student Lynn van der Horst looks at the world of undersea cables to find out.
Will our online banking and messaging still be safe in the quantum era?
We trust encryption to keep our online lives safe, but with the rise of quantum computers, that trust may soon need a rethink. Ginevra Fabrizio, PhD researcher at UT, explains more.
Health
Can tiny robots revolutionise surgery from the inside out?
Islam Khalil and his team are building magnetic micro-robots to treat strokes, target tumours, and improve diagnostics. They are spiral-shaped devices that can swim through the body, powered and guided entirely by magnets outside the patient
How AI could spot medical complications before they happen
Fatime develops dynamic, AI-driven predictive models to detect complications, such as infections, early signs of respiratory decline, or other physiological decline, before they manifest clinically.
Teaching AI to notice what matters in healthcare
Alexia Briassouli builds smarter systems that help algorithms see, learn, and support better care.
Chiptechnology
What if chips could last a lifetime without a battery?
Harijot is an expert in integrated circuit design and aims to push chip technology to its limits, making them more efficient, more powerful, and far more sustainable.
Can we teach silicon to emit light?
“If we can teach silicon to emit light, we could make computer chips that are faster, more efficient, and more powerful.”
Energy efficient computing
Can the brain help us fix AI's energy problem?
AI grows more powerful (and power-hungry), and Wilfred and his team at UT are exploring a very different kind of hardware.
Smarter computing, lower power: how UT researcher Amirreza Yousefzadeh is rethinking energy-efficient AI
Amirreza is developing energy-efficient computing inspired by the human brain. His work can potentially reshape industries ranging from wearables to cloud computing.
The energy costs of digital communication and how to reduce them
Energy consumption is rising at an unsustainable rate. Antonia is tackling this challenge by researching how data is transmitted across networks.
"The future of technology does not have to be wasteful. We just have to be smart about how we build it"
Fernando's research focuses on green software development, a field that aims to minimise software's energy consumption without sacrificing performance.
Why this researcher is putting antennas on lampposts
Syllas is asking a big question: what if our networks could be smarter, faster, and use way less energy?
Smarter AI for cars
Sjoerd's goal is to make the smart systems in automotives more energy-efficient, so they can do more with less power.