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Soroush Mahjoubi, PhD

Postdoctoral Associate

Olivetti Group & Concrete Sustainability Hub (CSHub)

Massachusetts Institute of Technology

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ABOUT

Soroush Mahjoubi is a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), working with the Olivetti Group and the Concrete Sustainability Hub (CSHub). His research is dedicated to decarbonizing the U.S. concrete industry to achieve carbon neutrality. By integrating materials informatics and machine learning, Soroush develops scalable solutions to reduce emissions from the concrete. His work includes discovery of raw and secondary by-product cementitious materials, mix design optimization, and supply chain optimization. In addition to his research at MIT, Soroush teaches the graduate course Advanced Mechanics of Materials (CE518) at Stevens Institute of Technology. During his Ph.D. at Stevens' Smart Infrastructure Laboratory, he conducted research on AI-enabled structural health monitoring using distributed fiber optic sensors and AI-guided design of sustainable, high-performance cementitious materials.

RESEARCH THRUSTS

Leveraging AI for Revolutionary Materials and Structures, Infrastructure Health Assessment, and Beyond

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ADVANCED MATERIALS

My research focuses on leveraging the power of AI to advance the understanding of engineering materials and development of materials with desirable properties. Through the application of machine learning, natural language processing, and optimization I have developed methods for predicting material properties, discovering new chemical reactions, and automating the development of various cementitious composites, including ordinary concrete, ultra-high-performance concrete, and strain-hardening cementitious composites. I have also developed a method based on computer vision and image processing to characterize and classify 2D nano graphene flakes, enabling automated development of 2D materials. 

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ADVANCED STRUCTURES

My research centers around two areas: optimization design of high-strength yet lightweight concrete composite modules, with a particular focus on robotic integration and accelerated construction methodologies. Concurrently, I employ and develop a blend of optimization algorithms that are inspired by natural phenomena and game theory to design resilient structures. These algorithms are aimed at significantly enhancing computational efficiency, especially vital in the optimization of complex structural designs. 

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STRUCTURAL HEALTH MONITORING

My research revolves around two core aspects: optimal sensor deployment and sensor data analysis. I strategically position sensors using optimization techniques to collect valuable data throughout structures, ensuring effective monitoring of structures. By analyzing data collected from distributed fiber optic sensors, I extract crucial parameters to detect potential damage and excessive loads, thus enhancing our understanding of structural health. These advancements contribute to improved maintenance strategies and the creation of safer structures.

CONTACT

Address 77 Massachusetts Ave, Cambridge, MA 0213

Email mahjoubi [at] mit.edu

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