The Department of Mechanical Engineering (MechE) strives to be an inclusive, diverse, collaborative, and supportive community that engages all students, faculty, and staff to participate, prosper, benefit, and reach their full potential.
We condemn all forms of racism and discrimination. We seek to foster an understanding and aware community where these incidences do not occur. Our activities and events are open to all regardless of gender, race, or national origin.
The MechE Diversity, Equity, and Inclusion (DEI) Task Force consists of nearly 30 students, staff, and faculty working aggressively on many initiatives to create a more diverse, equitable, and inclusive environment for all of us.
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Statement of Assurance
Carnegie Mellon University does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, handicap or disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
Inquiries concerning the application of and compliance with this statement should be directed to the university ombudsman, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, telephone 412-268-3930.
Obtain general information about Carnegie Mellon University by calling 412-268-2000.
Modeling light for solar panel placement in urban settings Opens in new window
Solar panel installation in cities requires setups tailored to the complex geometry of urban spaces that provide the most direct sunlight to each panel. Among the processes for designing the most efficient setup for solar panels is shadow modeling.
A passion for teaching
Nestor Gomez instructs students through hands-on courses that prepare them for real-world problem solving, which he referred to as the “Carnegie Mellon Method.” He has crafted courses that are project heavy, engaging his students to work through problems and find the solutions.
A call to integrate AI and STEM education Opens in new window
Artificial intelligence (AI) has penetrated the job landscape and is of great interest to educators. As we develop methods for integrating AI and STEM education to transform the U.S. workforce, we also need to broaden the public’s awareness of what AI can do now.
Simulating fluid flow to study disease
New MechE faculty member Noelia Grande Gutiérrez uses computational modeling to study the fluid mechanics of blood flow to design personalized therapies for thrombosis, earlier diagnosis of coronary artery disease, and precise, targeted drug delivery for cancer.
Capturing physiological signals with an app and a tap Opens in new window
For someone suffering from an acute illness or a medical emergency, the nearest healthcare facility can be several hours away in some parts of the world. Researchers are working to bridge this gap in patient care with machine learning.