Exploring multi agent intelligence in connected worlds

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Welcome to SCALA

The UT Dallas Smart Cities Applied Research Lab

At SCALA, we pursue foundational and applied research at the intersection of distributed AI and software engineering. Our work advances the field of multi-agent systems, shaping the design and deployment of large-scale, decentralized AI systems. We strive to generate new theoretical insights and develop novel solutions that respond to the evolving computational demands of modern society.

Core Research Areas

Intelligent Transportation
Systems

Multi-Agent Simulations
& Digital Twins

Smart Connected
Campus

Intelligent Transportation Systems

At SCALA, we lead research in Intelligent Transportation Systems to address the growing demands of urban mobility. Our work advances multi-agent traffic control, cloud-native architectures, autonomous vehicles, and digital twins to provide real-world solutions for next-generation transportation.

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Multi-Agent Simulations & Digital
Twins

We pursue research in multi-agent simulation systems to model and analyze complex, dynamic, and unpredictable environments. Our ongoing work includes the development of an advanced traffic simulation platform and a generic framework for creating application-specific simulations that deliver real-world insights.

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Smart Campus

At SCALA, we lead the Smart UTD Campus Initiative, aimed at transforming the university into a living laboratory for sensor-based, intelligent services. Students at all levels contribute to developing smart solutions that enhance the daily experience of students, faculty, and staff.

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