Welcome to my blog! I am Sanjay Chandrasekaran, a PhD student at the Automatic Control Laboratory, ETH Zurich and a research assistant at the Institute of Electric Power Systems, FHNW, Brugg-Windisch. I am very fortunate to work under the supervision of Prof. Dr. Florian Dorfler and Prof. Dr. Silvia Mastellone. 

My research interests include optimization-based control, feedback optimization, algorithmic systems theory, adaptive control, system identification and the control of interconnected systems.

Brief Bio:

I completed my B. Tech. (Honours) in Instrumentation & Control Engineering at the National Institute of Technology, Tiruchirappalli, and my MSc. in Information Technology & Electrical Engineering at ETH Zurich in 2021, 2023, respectively.

News:

• November 2025: NEW PROJECT OPENING! I have a project opening (semester/ master thesis) on "Feedback Optimization for Freeway Ramp Metering" with my colleague Mattia. Check it out if interested and do not hesitate to get in touch for questions.

• November 2025: At IFA, we once again hosted the open house where we advertise projects for bachelor and master students. If you happened upon this website from the open house, feel free to contact me if you're interested in my current research areas for projects.

• October 2025: Our paper "Network-aware recommender system via online feedback optimization" has been accepted as a full paper in the IEEE Transactions on Automatic Control! Check it out here

• April 2025: New pre-print out: Reactive power flow optimization in AC drive systems, check it out! We try to optimize over the reactive power set-point while maintaining trade-offs between current and modulation limits in AC drive systems.

• December 2024: NEW PROJECT OPENING!(Taken) I have a project opening (semester/ master thesis) on "Identifying Influencers in Social Networks". Check it out and do not hesitate to contact me for further details

• November 2024: Our department hosted the annual open house to advertise our open bachelor/semester/master thesis. If you could not attend the open house, check out this link for all the projects offered by my colleagues.

• September 2024: New pre-print out: Network-Aware Recommender System via Online Feedback Optimization, check it out! This was an attempt towards designing recommender systems from the perspective of algorithmic systems theory.

• September 2024: I attended NCCR Automation's workshop on "Control & Computation Methods" and had very interesting discussions with folks from the industry. Check it out here for more information! 

• September 2024: I now start working as a research assistant at the FHNW (Brugg-Windisch) and as a doctoral student at the Automatic Control Laboratory, ETH Zurich. More details on my project to come soon!

• July 2024: I was at the ICML Foundations of Reinforcement Learning & Control workshop. A lot of fun listening to the talks by famous people, not to mention the sights in Vienna.

• June 2024: Our work "Recommender System Design via Online Feedback Optimization has been accepted to the ICML'24 workshop: Foundations of Reinforcement Learning & Control. More details on this research work to follow soon.

• May 2024: I have been accepted into the NCCR PhD position on the topic "System Identification & Adaptive Control of Interconnected Systems", under the co-supervision of Prof. Dr. Florian Dorfler and Prof. Dr. Silvia Mastellone. Exciting times ahead!

• February 2024: I will be working as a scientific assistant at the Automatic Control Laboratory for the next 3 months, preparing my master thesis for a potential publication.

• November 2023: I have finally graduated with an MSc. in Information Technology & Electrical Engineering at ETH!

• November 2023: The work from my first semester thesis "Sparse Gaussian Processes using Pseudo-Inputs: A Markov Chain Monte-Carlo-based approach" is now in press.