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Sachin Rajendran is a PhD student at Linköping University, focusing on discrete optimization and large-scale complex systems. His research primarily develops cut-strengthening techniques in Logic-Based Benders Decomposition (LBBD), aiming to enhance computational performance across general problem classes. As part of his PhD position, which is supported by the ELLIIT research organization, he is actively contributing to advancements in optimization methodologies. Additionally, he is a member of the Mathematics Algorithms Intelligent Decision-Making research group, which is led by Elina Rönnberg. This collaboration fosters a dynamic environment for exploring complex mathematical challenges and improving decision-making through innovative algorithmic solutions.
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