Research Projects

Explore our cutting-edge research in optimization, analytics, and machine learning across various domains including healthcare, autonomous systems, and quantum computing.

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Hybrid Quantum-Classical Computing for Next-Generation Internet Resource Allocation

Hybrid Quantum-Classical Computing for Next-Generation Internet Resource Allocation

Internet of Everything (IoE) refers to the intelligent connection among people, things, data, and processes, essentially inclining toward the next-generation networks.

Matching Algorithms for Operations Based on UN Sustainability Goals

Matching Algorithms for Operations Based on UN Sustainability Goals

The United Nations designed the sustainable development goals with the target to integrate the economic, social and environmental developments between the developed and developing countries within 2030.

Causal AI for Personalized Data-Driven Decision Making

Causal AI for Personalized Data-Driven Decision Making

Significant progress has been made in machine learning (ML) systems for predictive tasks. However, their utility diminishes considerably when essential conditions are not met, rendering ML not only ineffective but potentially dangerous.

Fair Resource Allocation for IoV

Fair Resource Allocation for IoV

This research uses Gurobi optimization approaches to achieve fairness and efficiency in resource allocation in the context of edge computing for the Internet of Vehicles (IoV).