What does a master thesis have to do with the future of ultrasound technology? More than many people might think.
At GE HealthCare, three recent master theses in smart systems and microelectronics have shown how student research can connect advanced theory with real technology development. These projects were not isolated academic exercises. They addressed practical challenges in ultrasound systems, including front-end electronics, integrated sensor systems, and AI-supported ultrasound guidance.
For CHIPS of Europe, these examples show why close collaboration between universities and industry matters. Students gain experience with real engineering challenges, while companies benefit from fresh perspectives on complex system design.
Why master theses matter for semiconductor education
Master theses are often seen mainly as academic work. In practice, they can also act as a bridge between education, research, and industrial innovation.
In semiconductor-related fields, this bridge is especially important. Modern technologies such as medical imaging, smart sensors, autonomous systems, and connected devices depend on a combination of skills. Students need to understand electronics, signal processing, system architecture, software, data analysis, and real-world application needs.
The three theses supervised at GE HealthCare demonstrate this system perspective in practice.
1. Co-designing ultrasound front-end electronics and transducers
One thesis focused on the co-optimised design of ultrasound front-end electronics and transducers in software-defined ultrasound platforms.
In an ultrasound system, the transducer sends and receives sound waves, while the front-end electronics process the signals close to the source. These two parts must work together efficiently to achieve high image quality and reliable performance.
The thesis explored an adaptable front-end architecture that can support different transducer characteristics through a chiplet-based design approach. This is relevant for the development of flexible, scalable, and high-performance ultrasound systems.
This work highlights an important lesson for semiconductor education: designing one component is not enough. Engineers also need to understand how components interact within the full system.
2. Understanding the full signal chain in integrated sensor systems
A second thesis was part of the Smart Systems Integrated Solutions programme. It focused on understanding the complete signal chain in an integrated sensor system.
A signal chain describes the path from a physical signal, such as pressure, movement, sound, or temperature, to an electronic signal that can be processed and used. In medical technology, this can include sensing, analogue front-end design, digital processing, and system-level decision-making.
This type of work requires knowledge from several domains, including electronics, sensors, signal processing, and system design. It also shows why interdisciplinary education is essential for future semiconductor professionals.
Students working on integrated sensor systems learn to think beyond individual circuits. They learn how design choices at one level can affect accuracy, performance, power consumption, and usability at the system level.
3. Improving ultrasound guidance with sensor-enhanced AI
A third thesis explored how ultrasound guidance can be improved using sensor-enhanced deep learning.
Current AI-based guidance solutions often rely mainly on image-based models. While these models can be powerful, they may also face limitations such as unstable outputs, delay caused by filtering, and limited awareness of the probe’s physical context.
The thesis combined real-time image analysis with data from a 3-axis gyroscope. By adding motion information from the ultrasound probe, the system could provide more stable guidance, reduce delay during probe movement, and avoid showing guidance when the probe was not in contact with the patient.
Importantly, these improvements were achieved without changing the underlying deep learning models. Instead, the work showed how additional sensor data can improve the behaviour of the overall system.
This is a strong example of system-level innovation: better performance can come not only from improving algorithms, but also from combining hardware, sensors, data, and application knowledge in a smarter way.
A shared theme: thinking at system level
Although the three theses focused on different topics, they shared one common theme: the importance of system-level thinking.
In semiconductor and microelectronics development, engineers rarely work on isolated blocks. A design decision in one area can affect performance, reliability, usability, cost, or manufacturability elsewhere.
This is especially true in medical technology, where electronics, sensors, software, AI, and human interaction must work together in demanding real-world environments.
The theses therefore went beyond narrow technical tasks. They required students to understand how different parts of a system interact, from transducer behaviour and analogue electronics to digital processing, sensor data, and user-facing guidance.
Industry-academia collaboration in action
The collaboration also reflects the international nature of semiconductor and system development. The students involved come from programmes that span multiple universities across Europe, bringing together different academic backgrounds, technical skills, and ways of thinking.
For GE HealthCare, supervising master theses is a way to connect academic work with real development needs. Students work on relevant engineering problems and gain insight into how complex systems are designed and built in industry.
At the same time, industry partners gain new ideas, fresh perspectives, and closer connections to emerging talent.
Building Europe’s semiconductor talent pipeline
For CHIPS of Europe, examples like these are highly relevant. Building semiconductor competence is not only about education or research in isolation. It is about connecting learning to real applications, real systems, and real industrial challenges.
Master theses provide a focused environment where theory, tools, and practical constraints come together. They help students develop technical expertise, interdisciplinary thinking, and an understanding of how semiconductor-related skills contribute to technologies that matter.
In ultrasound technology, small decisions at sensor, circuit, software, or system level can influence the performance of the complete solution. This makes it an excellent example of why Europe needs engineers who can think across disciplines and abstraction levels.
By supporting stronger links between universities and industry, CHIPS of Europe helps create the conditions for this kind of learning. It contributes to a future talent pipeline that is practical, application-driven, and ready to support Europe’s semiconductor ecosystem.
