Students present mechanical engineering projects that have global impact
At the sixth annual Mechanical Engineering Research Exhibition, graduate students and postdocs sharpen their communication and presentation skills.
At the sixth annual Mechanical Engineering Research Exhibition, graduate students and postdocs sharpen their communication and presentation skills.
Finalists presented an alternative to nondegradable plastics, and an additive to help plastics decompose.
Projects address access to clean water in Nepal via wearable E. coli test kits, improving the resilience of commercial citrus groves, and more.
J-WAFS announces graduate fellowships for Sahil Shah and Peter Godart, both of the Department of Mechanical Engineering.
J-WAFS Fellow and DUSP PhD student Andrea Beck examines the success factors behind water utility partnerships in Africa.
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
Nine principal investigators from MIT will receive grants totaling over $1 million for solutions-oriented research into global food and water challenges.
Multilevel Mars greenhouse could provide food to sustain astronauts for several years.
MIT-India, J-WAFS, and the Indian Institute of Technology Ropar launch fund to facilitate collaborations between faculty and scientists from MIT and ITT Ropar.
Space Exploration Initiative research aboard Blue Origin’s New Shepard experiment capsule crossed the Karman line for three minutes of sustained microgravity.
Seven finalist teams pitched their business ideas at the Rabobank-MIT Food and Agribusiness Innovation Prize competition.
Student-led startups Symbrosia and SiPure each awarded a $14,000 grand prize.
The one-year Scale-Ups Fellowships program provides each fellow with a $20,000 grant and support tailored to address their specific needs.
An affordable, easy-to-use handheld sensor, soon to enter the market, can indicate the presence of bacterial contaminants in food in seconds.
Machine learning can reveal optimal growing conditions to maximize taste and other features.