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Soroush Mahjoubi

Soroush is currently a Postdoctoral Associate at MIT's Olivetti Group and Concrete Sustainability Hub (CSHub). His research aims to reduce emissions from cement-based materials through data analysis, machine learning, optimization strategies, and hands-on experiments. He's worked on creating new binders for concrete, designing complex concrete mixes, and conducting detailed performance tests. Before his postdoc at MIT, Soroush taught a course on Advanced Mechanics of Materials (CE518) as an adjunct professor at Stevens Institute of Technology. As a PhD student at Stevens' Smart Infrastructure Lab, supervised by Dr. Yi Bao, he did research on AI-guided structural health monitoring systems using fiber optic sensors and predicting and characterizing material properties using advanced AI methods, including deep learning and NLP. His research contributions also include developing AI-driven designs for sustainable, high-performance concrete.

Data-Driven Material Screening of Secondary and Natural Cementitious Precursors 

Soroush Mahjoubi December 18, 2025

What if the next generation of low-carbon cement materials is already sitting in mine tailings, biomass ash, and common rocks around the world? Dr. Soroush Mahjoubi and his team at the MIT Concrete Sustainability Hub and Olivetti Group used AI to screen over 10,000 scientific papers and more than one million rock samples, identifying over 14,000 potential clinker replacements. Below is a summary of their paper, “Data-Driven Material Screening of Secondary and Natural Cementitious Precursors.” Want to see how you can share your research for the 2026 Giatec Best Paper Awards? Learn more here! Research Background  Concrete is the most widely used manufactured material on the planet, and because we produce so much of it, it has a significant carbon footprint. Most of those emissions come from clinker, the binder in cement that requires energy-intensive kilns and releases CO₂ when limestone…

About Giatec

Giatec is a global company revolutionizing the construction industry by bringing smart testing technologies and real-time data collection to the forefront of every jobsite. Giatec’s suite of hardware and software products has leveraged advanced technologies such as AI and the Internet of Things (IoT), including wireless concrete sensors, mobile apps, and advanced non-destructive technologies (NDT) to drive innovation throughout concrete’s lifecycle and reduce concrete’s carbon footprint.

Our suite of hardware and software products has leveraged advanced technologies such as; Artificial Intelligence (AI), and Internet of Things (IoT), including; wireless concrete sensors, mobile apps, and advanced non-destructive technologies (NDT) to drive innovation throughout concrete’s lifecycle.

Combining wireless concrete sensors and mobile apps, Giatec has developed smart IoT-based technologies, like SmartRock® concrete maturity sensors, for real-time monitoring of concrete properties. This provides critical information to contractors so they can make efficient and informed decisions on the jobsite, ultimately saving time and money. Ready-mix producers also leverage the SmartRock® Plus cloud, which gives them access to concrete performance data to optimize their mix designs.

Wireless Sensors and NDT Technologies

Our suite of hardware and software products has leveraged advanced technologies such as; Artificial Intelligence (AI), and Internet of Things (IoT), including; wireless concrete sensors, mobile apps, and advanced non-destructive technologies (NDT) to drive innovation throughout concrete’s lifecycle.

Combining wireless concrete sensors and mobile apps, Giatec has developed smart IoT-based technologies, like SmartRock® concrete maturity sensors, for real-time monitoring of concrete properties. This provides critical information to contractors so they can make efficient and informed decisions on the jobsite, ultimately saving time and money. Ready-mix producers also leverage the SmartRock® Plus cloud, which gives them access to concrete performance data to optimize their mix designs.

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