01 April 2025

On March 3, Mina Niknafs at the Department of Computer and Information Science (IDA) successfully defended her thesis on resource management for multi-core computer systems. "Pursuing a PhD at IDA is an enriching experience that combines academic freedom with a supportive research culture", she says.

Mina Niknafs shows her printed thesis in the lecture hall.

Congratulations on your PhD! What was your background when you started your PhD?

"Thank you! I earned my Master's in IT approximately six years before beginning my PhD. During this period, I worked both in industry as a developer and in academia as a lecturer and faculty member, acquiring valuable experience that connected practical application with theoretical foundations."

What is it like to be a PhD student at IDA?

"Pursuing a PhD at IDA is an enriching experience that combines academic freedom with a supportive research culture. While the journey involves inevitable hurdles and uncertainties, the presence of dedicated supervisors and a collaborative community makes a huge difference. I was fortunate to have Zebo Peng and Petru Eles as my supervisors, whose invaluable feedback and encouragement kept me on track throughout my studies."

What do you want to do next?

"With my PhD completed, I aim to move into the industry, where I can bridge my research background with real-world applications."

Mina Niknafs' summary of her thesis:

In modern embedded heterogeneous architectures, multiple processing resources are often integrated to achieve performance benefits. Different tasks operate on various segments of these systems, resulting in variations in timing, temperature, and energy consumption. A key component for such a system is a resource manager, RM, capable of taking decisions such that resources are used most efficiently and performance requirements are satisfied. Moreover, modern platforms often encounter fluctuating workloads that are not known at design time. This uncertainty makes traditional design-time resource management methods impractical. In such scenarios, runtime resource management decisions can be enhanced by not only considering the current workload of the platform but also by incorporating forecasts of future workloads. From a macro perspective, this thesis focuses on (1) predicting workload, and (2) integrating these predictions into resource management, while accounting for the constraints and features of embedded systems.

More about the subject and doctoral studies

Organisation

Latest news from LiU

A couple of people that are standing in the grass.

The war in Ukraine has serious effects on children’s health

Children’s access to healthcare in Ukraine has seen a sharp decline since Russia invaded the country in February 2022. A Swedish study shows how children’s physical, mental and social health is being seriously affected by the war.

Toomas Timpka.

No association between COVID-vaccine and decrease in childbirth

COVID-19 vaccination is not the cause behind a decrease in childbirth, according to a study from Linköping University. The results speak against rumours about vaccination and reduced fertility.

A group of people sitting around a wooden table.

Ukrainian researchers and students visited LiU

Ukrainian society must continue to function during the war. Other European countries can contribute. LiU is part in the Swedish-Ukrainian project STREAM-U and recently welcomed a group of researchers, public officials and students.