Research

Research interests

My research lies broadly in the areas of algorithms and optimization. Most real-life optimization problems are computationally hard in nature and heuristic algorithms are employed in most applications. Although these heuristics are time efficient and work well for some inputs, they cannot assure good quality solutions on every input instance. To address this issue, researchers design approximation algorithms, which guarantee good bounds on the quality of the solutions on all inputs. Many problems have the nature that they are not only hard to solve optimally, but also hard to approximate even if we could afford to use any reasonable amount of time. Accordingly, my research philosophy is to explore the solvability of such problems in terms of approximation. One of my focus research topics is algorithmic fairness, where the goal is to design algorithms that are fair for all participating groups. Following are some topics of my interest. 

Publications

(The percentages beside the publications denote the acceptance rate)

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

 

Technical Reports

 

DBLP, Google Scholar


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Scientific reviews