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College of Engineering, Carnegie Mellon University
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A top-five engineering college with an innovative, multidisciplinary, global focus.
A top-five engineering college with an innovative, multidisciplinary, global focus.

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Without reliable access to electricity, residents of sub-Saharan Africa often turn to in-home diesel generators, a method of electricity generation with potentially dangerous health outcomes.

http://cmu.li/Y8on30mBD8e
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On November 1, Anne Skaja Robinson joined us as the new Department Head of Chemical Engineering! Dr. Robinson comes to us from Tulane University, where she was the chair of chemical and biomolecular engineering. She also is a Fellow of AIChE and has received national accolades such as the NSF PECASE Award and the ACS BIOT Perlman Award. Dr. Robinson’s lab has two main goals: to understand disease mechanisms behind neurodegenerative diseases such as Alzheimer’s and Parkinson’s to improve the production of biopharmaceuticals (like Humira). Welcome to CIT, Dr. Robinson!
https://engineering.cmu.edu/news-events/news/2018/11/1109-robinson-cheme-head.html
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Carnegie Mellon University students, get ready to Rethink the Rink 2019! Five groups will team up with Covestro and the Pittsburgh Penguins to tackle one big challenge, design prototypes, and pitch solutions. Apply at https://bit.ly/2ATjAI5
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Carnegie Mellon’s Bioengineered Organs Initiative is working to create a new generation of long-term replacement organs. BME’s Keith Cook explains the different projects of the initiative, and how the multidisciplinary nature of Carnegie Mellon has allowed for contributions from many different departments to the initiative. https://www.youtube.com/watch?v=lryVQsImTZs
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Did you know that 50% of US power goes through a motor? MSE Prof. Mike McHenry is designing the motors of the future using his group’s patented soft magnetic materials. These materials will lead to greater energy efficiency overall. https://engineering.cmu.edu/news-events/news/2018/11/06-mchenry-magnetic-materials.html
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The Information Networking Institute (INI)​'s Dena Haritos Tsamitis just secured a $5 million renewal of its Scholarship for Service program, which provides students a full-tuition scholarship and a generous stipend for living expenses in exchange for government service in a cybersecurity role after graduation. http://cmu.li/KOXq30mwbQi
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You don’t want to drive a car with an extension cord hanging out the back. To be effective, electric cars must have efficient batteries and extensive ranges. Carnegie Mellon Mechanical Engineering Department's Venkat Viswanathan and Shashank Sripad analyzed Jaguar’s electric car, I-Pace, to theorize why its 234-mile range fell short of expectations for its 90-kWh battery. Viswanathan also looked to the future of batteries for electric trucks, saying it’s likely that “we will be able to make a 750-mile range battery” by 2025.
http://www.thedrive.com/tech/24499/why-does-the-electric-jaguar-i-pace-only-offer-234-miles-of-range
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As AI and automation continue to enter manufacturing, how will it affect the future of manufacturing jobs? According to a Bloomberg article, they might look a little different, but they aren't going anywhere. These new technologies are requiring workers to make new kinds of contributions, and changing the way they use their time. "This is a chance for the U.S. to lead," says EPP's Erica Fuchs. http://cmu.li/SKR730mtHx5
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As A.I. becomes more and more pervasive, students in all disciplines, especially engineering, will need a firm grasp of how A.I. works and how it can improve daily life. At Carnegie Mellon College of Engineering, engineering students gain a deeper understanding of the strengths, weaknesses, and opportunities of A.I., with classes tailored specifically to their needs as engineers. Learn how Carnegie Mellon University is leading the way in A.I. education in this recent The New York Times article: https://www.nytimes.com/2018/11/02/education/learning/colleges-grapple-with-teaching-ai.html
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ECE’s Gauri Joshi has been named an IBM Faculty Award winner. Her research in distributed machine learning aims to improve the efficiency and speed in computing systems while achieving the lowest possible error. http://cmu.li/q9qj30mqQly
Optimizing computing systems
Optimizing computing systems
engineering.cmu.edu
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