Civil and environmental engineering

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MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Classes and programs, Computer science and technology, Education, teaching, academics, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, School of Engineering, Special events and guest speakers, STEM education

This summer, the MIT Schwarzman College of Computing welcomed faculty from colleges and universities across Greater Boston, South Carolina, West Virginia, and Texas to campus for the inaugural AI Educators Pilot, a weeklong workshop aimed at expanding how artificial intelligence is taught across disciplines and learning environments. Inspired by MIT class C01/C51 (Modeling with Machine Learning), […]

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Walter Torous named executive director of MIT Center for Real Estate

ai, AI (Artificial Intelligence), Architecture, Artificial Intelligence, Center for Real Estate, Civil and environmental engineering, Education, teaching, academics, Leadership, Machine Learning, Media Lab, MIT Sloan School of Management, Real Estate, School of Architecture and Planning, School of Engineering, Urban studies and planning

Walter Torous, senior lecturer in the MIT Department of Urban Studies and Planning (DUSP) and the MIT Sloan School of Management, and director of the Master of Science in Real Estate Development Program (MSRED), was recently named executive director of the MIT Center for Real Estate (CRE) — effective July 1, 2026.In announcing Torous’ appointment, School of Architecture

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Connecting research to policy on Capitol Hill

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Civil and environmental engineering, Environment, Funding, government, Graduate, postdoctoral, National Institutes of Health (NIH), National Science Foundation (NSF), Oceanography and ocean engineering, Policy, School of Engineering, Special events and guest speakers, Students, Technology and policy, Technology and society, Woods Hole

This spring, 25 MIT students and postdocs traveled to Washington to meet with congressional staffers and advocate for sustained federal investment in scientific research. With recent cuts to National Science Foundation programs and continued uncertainty surrounding the federal research budget, these conversations were especially timely. Over the course of just two days, participants met with 62

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MIT engineers design proteins by their motion, not just their shape

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, Civil and environmental engineering, Computational biology, Health sciences and technology, Materials science and engineering, Mechanical engineering, MIT-IBM Watson AI Lab, Proteins, Research, School of Engineering, Synthetic biology

Proteins are far more than nutrients we track on a food label. Present in every cell of our bodies, they work like nature’s molecular machines. They walk, stretch, bend, and flex to do their jobs, pumping blood, fighting disease, building tissue, and many other jobs too small for the eye to see. Their power doesn’t

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AI system learns to keep warehouse robot traffic running smoothly

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Logistics, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering, Supply chains

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns.To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic

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Parking-aware navigation system could prevent frustration and emissions

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Cities, Civil and environmental engineering, Climate change, Computer modeling, Computer science and technology, Electrical engineering and computer science (EECS), Emissions, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Energy Initiative, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Sustainability, Transportation

It happens every day — a motorist heading across town checks a navigation app to see how long the trip will take, but they find no parking spots available when they reach their destination. By the time they finally park and walk to their destination, they’re significantly later than they expected to be.Most popular navigation

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

3-D printing, Aging, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Collaboration, Global, Health care, Health sciences and technology, Imaging, International initiatives, Invention, Mechanical engineering, Research, School of Engineering, Singapore-MIT Alliance for Research and Technology (SMART), Wearable sensors

What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure, could be monitored continuously in real-time at home or on the move, giving health care practitioners ongoing clinical insights instead of the occasional snapshots — a scan here and a check-up there. This shift from

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

SMART launches new Wearable Imaging for Transforming Elderly Care research group Read More »

Decoding the Arctic to predict winter weather

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Climate, Computer science and technology, Earth and atmospheric sciences, Machine Learning, Natural disasters, Profile, Research, School of Engineering, Staff, Technology and society, Weather

Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in the Arctic set the course for winter weather throughout Europe, Asia, and North America. His research

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Working to eliminate barriers to adopting nuclear energy

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer modeling, Department of Energy (DoE), Energy, Graduate, postdoctoral, Nuclear power and reactors, Nuclear science and engineering, Nuclear security and policy, Profile, School of Engineering, Students

What if there were a way to solve one of the most significant obstacles to the use of nuclear energy — the disposal of high-level nuclear waste (HLW)? Dauren Sarsenbayev, a third-year doctoral student at the MIT Department of Nuclear Science and Engineering (NSE), is addressing the challenge as part of his research.Sarsenbayev focuses on one

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