Jakob Nylöf

Stockholm, Sweden

Hi, welcome to my page!

I’m a master student in mathematics at KTH Royal Institute of Technology. My research interests lie in the intersection of control theory, optimization, reinforcement learning and stochastic control. I also have an interest in physics, in particular quantum computing.

In my free time, I play electric guitar and really enjoy outdoor activities such as hiking and skiing.

Currently looking for a PhD position - Feel free to contact me via email. I would be happy to provide any additional information.

biography

I was born in Sweden. I received a BSc in Engineering Physics from KTH Royal Institute of Technology and I am currently completing a MSc in Mathematics from the same institution, graduating in June 2024. My master thesis is about Q-learning in continuous time, supervised by Prof. Boualem Djehiche. During my studies I have completed two research internships: one at KTH under supervision of Prof. Karl H. Johansson and one at the University of Michigan supervised by Prof. Necmiye Ozay, which each led to publications. I have also completed an exchange semester at ETH Zürich while studying physics, where my courses were centered around quantum computation.

news

Jan 01, 2024	Our paper A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback is accepted for presentation at the American control Conference 2024 (Toronto).
Nov 01, 2023	Our paper A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback is accepted for publication in the IEEE Control Systems Letters.
Apr 01, 2022	Our paper Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees is accepted for publication in the International Federation of Automatic Control (IFAC) Papers Online and accepted for presentation at the 4th IFAC Workshop on Cyber-Physical and Human Systems CPHS 2022 (Houston, TX).