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 learning computationally lightweight classifiers for safe RL. Previously, I had worked on learning reward transformations that woudl mitigate the effects of low-probability high-impact events in RL.
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.
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. More specifically, I'm interested in exploring ideas that make learning-based methods safer, computationally lightweight, and more robust.
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.