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Molinaroli College of Engineering and Computing

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Department of Mechanical Engineering

The Department of Mechanical Engineering at the University of South Carolina offers academic programs and research opportunities in mechanical engineering, aerospace engineering and nuclear engineering led by experienced faculty. We are a Tier 1 research department, ranked #31 nationally and #1 in the state by the National Research Council. 

Department Highlights

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Helping small to medium manufacturers manage supply chain interruptions

Incorporating AI and machine learning is a promising technology for today's manufacturing networks. However, there is an increasing divide between large manufacturers and small and medium manufacturers in adopting digital tools and leveraging their benefits on resilience.

Paul Ziehl

Engineering researcher focused on improving manufacturing processes for advanced composite materials

Embedded sensors, edge computing, machine learning and high-fidelity simulations are part of the toolkit for Paul Ziehl and the research team he works with at USC’s McNAIR Center for Aerospace Engineering and Research.

Sattelite dashboard

Utilizing predictive analytics to optimize satellite life cycle

To help address challenges for maintaining a satellite's optimal efficiency, Mechanical Engineering Professor Abdel Bayoumi, research scientist Rhea Matthews and their team completed a project late last year that aimed to monitor operational life and predict failures.

Andrew Gross in lab

Collaboration brings together aerospace engineering and machine tool technology students

For the fall 2024 semester, Mechanical Engineering Assistant Professor Andrew Gross established a collaboration with Midlands Technical College in Columbia so one of his undergraduate classes could work with future machinists on design and production.

nuclear energy storage

Improving nuclear energy safety and introducing more students to research

Lingyu Yu is working on a $1 million DOE-funded project that not only aims to help implement additional spent nuclear fuel safeguards with machine learning technology but will also provide opportunities for undergraduate students through Promoting Inclusive and Equitable Research.

 


Challenge the conventional. Create the exceptional. No Limits.

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