News

Both the OVPR’s Business and Research blogs recently published articles discussing the research of MSI PI Jian-Ping Wang, a Distinguished McKnight professor in the Department of Electrical and Computer Engineering. He is studying new types of magnetic materials with possible applications ranging from more-efficient recording media to cancer detection.

Professor Wang uses MSI resources to support his group’s studies of the magnetic properties of Fe16N2. This research supports efforts to find a next-generation, environmentally friendly magnet that would be technologically superior to currently used magnets. Applications could include replacing the rare-earth magnets now used in electric vehicles and wind turbines, and as a replacement for the semiconductor/transistor combination that powers personal computers. Professor Wang is also studying the possibilities of heat-assisted magnetic recording, which could provide the capability for considerably higher recording densities than is possible now.

 

 

The OVPR’s Research and Business blogs periodically publish lists of University researchers who have been awarded patents. The most recent list includes a patent that relates to work that the faculty members are doing using MSI resources.

 

Professor Perry Li and Professor Thomas Chase, both in the Department of Mechanical Engineering, were awarded a patent for a “Pulse Width Modulated Fluidic Valve.” Professor Li’s MSI research involves computational fluid dynamics (CFD) analyses of hydraulic components, which includes the development of innovative fluid power components, such as digital hydraulic valves, that are compact and efficient. MSI resources are used to perform CFD and heat transfer studies to gain understanding of the physics and to enable improved design. Professor Chase wishes to create extremely efficient proportional valves for pneumatic systems by exploiting Micro-Electrical Mechanical Systems technology. This project uses MSI resources to simulate the performance of the valve and for optimization of the design.

 

 

 

 

Three MSI PIs have received the Award for Outstanding Contributions to Postbaccalaureate, Graduate, and Professional Education, which recognizes excellence in teaching.

 

Professor Jerry Cohen (Horticultural Science) uses MSI as part of a project to develop robust methods for stable isotope labeling of plant proteins.

 

Professor Keshab Parhi (Electrical and Computer Engineering) is working on two projects that use MSI resources. The first deals with feature computation and classification of biomedical signal processing systems and the second concerns communications systems. 

 

Associate Professor Lisa Schimmenti (Pediatrics) uses Galaxy and other software packages to store and analyze data output from the Biomedical Genomics Center as part of her studies of renal coloboma syndrome, a disorder causing severe disabling eye abnormalities and kidney failure.

 

The awards were announced in the March 13 People section of the University News site. 

 

Assistant Professor Katy Kozhimannil (Health Policy and Management) and her colleagues recently published a study in the journal Health Affairs discussing the wide disparity in Cesarean delivery rates at US hospitals. The results from this nationwide study indicate that there may be a quality-of-care problem. The rates for Cesareans are of interest to the US government, because a high percentage of these procedures are funded by Medicare. The study was also written up by the New York Times.

 

Professor Kozhimannil uses MSI resources to support research into a number of issues related to health policy that impacts reproductive-age women and their families. Of special interest are institutional and government policies affecting health care delivery, quality, and outcomes during the perinatal period.

 

 

MSI PI Peter Seiler (Aerospace Engineering and Mechanics) has received an award through the NSF’s Faculty Early Career Development (CAREER) Program. The grant award is called “Probabilistic Tools for High Reliability Monitoring and Control of Wind Farms.” According to the NSF website, the CAREER program rewards junior faculty who “exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.”

 

Professor Seiler is using MSI resources to develop algorithms designed to maximize the power of wind farms and reduce the structural loads on turbines. Rather than concentrating on maximizing the power of each individual wind turbine, this project studies the wind farm as a whole. The research group is using fluid dynamics simulations to study such factors as wake effects.

 

More information about Professor Seiler and this award can be found on the Department of Aerospace Engineering and Mechanics website

 

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