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Submitted Sep 21, 2025
Extended Abstract:-
Constrained optimization lies at the heart of many complex systems, where multiple limited resources must be allocated efficiently to achieve specific goals, while satisfying strict operational constraints. These problems generally sit at the core of logistics optimisation, smart scheduling, etc. They are often high-dimensional, dynamic, and involve tightly coupled dependencies between variables. Traditional methods like Mixed-Integer Linear Programming or Heuristics often struggle in dynamic, distributed settings due to their centralized and rigid nature. Agentic AI offers a compelling alternative by modeling system components as autonomous agents capable of local reasoning, coordination, and negotiation.
This talk illustrates the power of Agentic AI for Airline scheduling, which is an exceptionally complex, real-world example of constrained optimization. Here, aircraft, crew, fuel resources, etc. must be jointly scheduled under tight timing constraints, regulatory rules, and disruption risks. By representing multiple elements as intelligent agents, agentic AI enables decentralized decision-making and dynamic re-optimization. The talk will demonstrate how integrating agentic models with classical optimization solvers creates hybrid frameworks that are not only scalable but also resilient to real-time changes.
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Speaker bio:-
Dr. Karthika Vijayan is a Solution Consultant at Sahaj Software. She has been conducting research in the field of conversational AI with voice and text data for almost a decade. Her research has been published in several journals and presented at various international conferences. Prior to joining Sahaj Software, she worked as a research fellow at the National University of Singapore and at IISc Bangalore. She has done her PhD from IIT Hyderabad.
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