Braghadeesh Lakshminarayanan

Doctoral student at Decision and Control Sytems, KTH.

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Malvinas väg 10, floor 6

EECS / Division of Decision and Control Systems

KTH Royal Institute of Technology

100 44 Stockholm, Sweden

I am Braghadeesh Lakshminarayanan, a doctoral student at the division of Decision and Control Systems (DCS), KTH Royal Institute of Technology, Stockholm, Sweden. I began my doctoral studies on August 2021 under the supervision of Prof. Cristian Rojas.

I graduated with a masters degree (M. Tech) in Communication and Networks (CN) on July 2020, from the Indian Institute of Science(IISc), Bangalore, India, where I was advised by Prof. Aditya Gopalan. Prior to joining IISc, I worked as a VLSI Engineer at Wipro Technologies, Bangalore, India from 2016-2017. I obtained my bachelors degree (B. Tech) in Electronics and Communication Engineering in the year 2016, from the National Institute of Technology, Trichy, India.

My research interests include parameter estimation, control theory, optimization, and sequential decision making under uncertainity.

How to pronounce my name?

Here is an “english” way of pronouncing my name: Brag + had + eesh (First name) Luck + she + me + nah + raw + yeah + none (Last name)

What does my name mean?

First name is one of the names of lord Shiva, the main deity of Brihadishvara temple. My last name is my father’s first name, which is one of the names of lord Vishnu Lakshmi Narayanan.

news

Nov 7, 2023 Received a travel scholarship from the Karl Engvers foundation to attend 62nd IEEE Conference on Decision and Control (CDC) in Singapore, 2023.
Jul 13, 2023 I presented the paper “A Unified Approach to Differentially Private Bayes Point Estimation” at The 22nd World Congress of the International Federation of Automatic Control in Yokohama, Japan, 2023.
Jul 12, 2023 The paper “Minimax Two-Stage Gradient Boosting for Parameter Estimation” that I co-authored with Cristian Rojas has been accepted for publication at the 62nd IEEE Conference on Decision and Control (CDC) in Singapore, 2023.
Apr 25, 2023 I attended the Nonlinear Benchmark Workshop and Mini Course in TU/e, Netherlands, 2023.
Mar 3, 2023 The paper “A Unified Approach to Differentially Private Bayes Point Estimation” that I co-authored with Cristian R. Rojas, was accepted for presentation at The 22nd World Congress of the International Federation of Automatic Control in Yokohama, Japan, 2023.
Dec 8, 2022 I presented the paper “A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation” at The IEEE 61st Conference on Decision and Control (CDC) in Cancún, Mexico, 2022.
Sep 20, 2022 I attended the European Research Network on System Identification (ERNSI) workshop in KU Leuven, Belgium, 2022.
Jul 15, 2022 The paper “A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation” that I co-authored with Cristian Rojas, was accepted for publication at The IEEE 61st Conference on Decision and Control (CDC) in Cancún, Mexico, 2022.