蜜桃影像

An extension of the Engineering Academic Advising Center, the Engineering Student Success Center is a transformative learning environment where students are supported and challenged to pursue academic excellence, share knowledge, and develop interpersonal skills.

Learn more about the Engineering Student Success Center. 

Our mission is to guide, coordinate, and perform pre-competitive research directed toward making automated manufacturing assembly operations more flexible, i.e., more responsive to product/process change. Our research focus is in the design and realization of multi-dimensional mechanical behavior needed for accomplishing contact manipulation tasks (e.g., assembly tasks).

The Orthopaedic & Rehabilitation Engineering Center (OREC) is designed to promote and encourage significant advances in clinical research through coordinated endeavors between 蜜桃影像 and the Medical College of Wisconsin. These opportunities are afforded to faculty and students at 蜜桃影像 and to faculty, fellows, and residents in the Departments of Orthopaedic Surgery, and Physical Medicine and Rehabilitation at the Medical College of Wisconsin. OREC builds upon prior successful collaborations in the fields of orthopaedic biomechanics, biomaterials, rehabilitation engineering, and human motion analysis.

Learn more about OREC. 

The Electric Machines and Drives Laboratory is a facility for research on modern electric machinery in adjustable speed drives and electromechanical systems in general, including associated electromagnetic and power electronic studies and simulation model developments.

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The Biohazard Level II Lab focuses on the design and assessment of more sustainable water and wastewater treatment technologies that are able to simultaneously mitigate the risks posed by microbial and chemical contaiminants. 

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Research in the Hydraulics Lab spans a breadth of areas in hydrology and water resources engineering. The current focus of research in the lab focuses on drone remote sensing, flood-frequency analysis and watershed management policy. 

Learn more about the Hydraulics Lab. 

The Marquette Embedded Systems Lab researchers focus on machine learning based energy optimization in multicore processors and datacenters, uncertainty modeling and design methods for embedded systems, energy and power simulation, field programmavle gate arrays, drone design and power distribution network configuration. 

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At COVISS, researchers are interested in devising methods and systems that use information collected by multidimensional sensors to understand the physical world. These sensors may include traditional cameras, depth sensors, arrays of unidimensional sensors, or combinations thereof. In particular, they are interested in fusing observations obtained at different points in time or space or even with different sensing modalities.

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