I am currently a master's student of automation and electrical engineering programme at Aalto University, where I am majoring in control, robotics, and autonomous systems, and minoring in computer science. I started my studies in the autumn of 2023, and I expect to finish my studies in 2025.
I currently work with Prof. Dominik Baumann of the Cyber-physical Systems Group on ergodicity and robustness in reinforcement learning. The objective of my research here is to learn a reward transformation such that RL agents do not suffer from low-probability high-impact agents during the training phase.
I was previously a graduate research assistant with the Sensor Informatics Group, working on implementing optimal control methods on a rotary inverted pendulum. The group is led by Prof. Simo Sarkka, whose course "Basics of Sensor Fusion" I am currently a teaching assistant for.
Before that, I was a junior research fellow with the Data, Control, and Autonomous Systems (DACAS) Lab, Indian Institute of Science, Bangalore, from 2021-2023, with Prof. Jishnu Keshavan. I graduated with a Bachelor of Engineering (B.Eng.) in mechanical engineering from Ramaiah Institute of Technology in 2021.
x@aalto.fi
where x = shreeram.murali
Hi, my name is Shreeram, and I'm currently a master's student of electrical engineering and computer science (EECS) at Aalto University, Finland. I'm also a research assistant with the Cyber-physical Systems Group.
Broadly, my research interests are at the intersection of machine learning and control theory. Therefore, I enjoy nonlinear control, optimisation, and reinforcement learning, especially when they are applied to robotics or health technologies.
As an engineering student, a lot of my work involves experimentation, so you'll find links to software projects on my GitHub. Outside of this, I'm into photography, film, and music.
link to CV | link to one-page resume
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