
11/07/2022
Mechanical engineers at the University of Michigan are tackling mysteries of bone density loss in space and on Earth.
Mechanical engineers at the University of Michigan are tackling mysteries of bone density loss in space and on Earth.
Stanford University recently released an update of the list that represents the top 2 % of the most-cited scientists in various disciplines. The report was prepared by a team of experts led by Professor John Ioannidis.
The UM-ME Department is pleased to welcome our new faculty members Sita Syal and Hugo Villasanti.
The award recognizes alumni who have made a difference in their field and in the world and was presented to Jeanne at the Alumni Awards Dinner on Friday, September 23, 2022.
The award is given biennially by the Dynamic Systems and Control Division (DSCD) of ASME to a DSCD member who has demonstrated sustained outstanding research contributions, either basic or applied, as a mechanical engineering professional to fields of interest to the DSCD.
Alauddin Ahmed, Assistant Research Scientist in Mechanical Engineering, was awarded a Carbon Neutrality Acceleration Program grant by the Graham Sustainability Institute at U-M for his project on pulling carbon dioxide from the atmosphere.
The UM Battery Lab, led by Mechanical Engineering Professor Jeff Sakamoto, is working to create safer electric vehicle batteries that last longer.
James Holly, Jr., Assistant Professor of Mechanical Engineering, spoke on the need for faculty to have a robust understanding of social inequity, to utilize cultural knowledge as an asset, and to leverage insights from perspectives of racially-marginalized peoples in engineering classrooms.
Chinedum Okwudire, Associate Professor of Mechanical Engineering and Miller Faculty Scholar, was selected to serve on a National Academies of Sciences, Engineering, and Medicine (NASEM) ad-hoc committee formed to develop options for a national plan for smart manufacturing technology development and deployment.
Dr. Cao’s lecture, titled “Bring Flexibility and Innovation to Manufacturing Processes,” focused on how to integrate fundamental process mechanics, process control, and techniques, including machine learning, to achieve effective and efficient predictions of a material’s mechanical behavior during manufacturing processes.