I am a post-doctoral researcher at Max Planck Institute for Software Systems working with Dr. Manuel Gomez Rodriguez. I obtained my PhD in Computer Science from Aalto University, Finland and my supervisor was Prof. Aristides Gionis.
During my master’s studies, I had the opportunity to work as a research assistant at the New Paradigms in Computing Research Group, led by Prof. Petteri Kaski. Additionally, during my bachelor’s studies, I interned at Defence Research and Development Organisation under the guidence of Guruprasad Sosale Gopinath. I also had the privilege of working with Ericsson, Motorola, and Nokia prior to pursuing my PhD.
My research work is focused on various aspects of design and engineering of algorithms for problems motivated from societal issues.
Algorithmic bias: Recently, I am motivated to work on design of algorithms that mitigate bias in algorithmic decision making. ECML 2021, KDD 2022, FAIR CSS
Algorithm engineering: I have extensive experience in engineering optimized implementation of algorithms using languages such as C, C++, CUDA, and assembly. SEA 2018, PACE 2018, SDM 2020, RESTLESS PATH, SHORTEST PATH
Approximation algorithms: I have worked on design of approximation algorithms for problems inspired by algorithmic fairness and constrained clustering. ECML 2021, KDD 2022, FAIR CSS
Graph mining: I have gained extensive experience in tackling graph mining problems that find practical applications in social media analysis, contact tracing in epidemic networks, and community detection. THESIS 2017, SDM 2020, BIG DATA 2020, SEA 2018, RESTLESS PATH
Parameterized algorithms: I also possess expertise in designing parameterized algorithms for a diverse set of combinatorial problems. THESIS 2017, SEA 2018, SDM 2020, BIG DATA 2020, KDD 2022, RESTLESS PATH