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Teaching Professor Faculty Positions in Data Science and Analytics
Description: The University of Missouri (MU) Institute for Data Science and Informatics (IDSI) is accepting applications for multiple positions of Teaching Professor (Assistant and Associate levels) of Data Science and Analytics. In today’s information-centric world, data are becoming increasingly important for the success of businesses in every industry. Data science at MU is an interdisciplinary
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NSF Scholarship for Service Fellowships in Security
nformatics Core Faculty Dr. Dan Lin received $3.6M from the National Science Foundation. This project is to promote cybersecurity research and education. The program offers scholarships which fully cover tuition and fees, provides $34,000 annual stipend and additional $9,000 funding for equipment, travel and professional development. In total, the program will train 16 students with a 3-year
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Dr. DeSouza Appointed to Associate Editor Position for IEEE Transactions on Artificial Intelligence
Dr. Gui DeSouza, MUIDSI core faculty member and co-leader of the Data-Driven Ag Initiative, has been appointed as an associate editor to the new journal IEEE Transactions on Artificial Intelligence. The Institute of Electrical and Electronics Engineers plans to launch the journal next month. It’s a joint publication among several IEEE societies, with IEEE’s Computational Intelligence Society
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Information Extraction Framework for Facilitating the Assessment of the Quality of Radiology Interpretations
Presenter:Marius Petruc
Date:03-04-2021
Time:4:30pm-5:00pm
Location:Zoom
Assessing the quality of imaging interpretations requires that the results of radiological interpretations be compared with those of subsequent surgical-pathology results, when available. The manual process is inherently slow, tedious and expensive, and unless systematic errors occur in the interpretations, discrepancies are unlikely to be detected. Classical computational methods using Natural Language Processing entail using
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Abnormal liver function and adverse health outcomes in COVID-19: A multicenter, retrospective analysis of 14,872 patients from the Cerner Real-World DataTM de-identified COVID-19 cohort
Presenter:Erin Tallon
Date:03-04-2021
Time:4:00pm-4:30pm
Location:Zoom
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been associated with liver impairment and abnormalities in liver function tests. However, associations between hepatic impairment and patient health outcomes have not been well-studied in large cohorts. In this US-based, multicenter retrospective cohort study, we analyze the impact of abnormalities in liver function
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Purdue’s New Plant Sensor Technologies for Improved Phenotyping Quality
Presenter:Dr. Jian Jin
Date:02-25-2021
Time:3:30pm-5:00pm
Location:Zoom
Plant phenotyping technologies have been developing rapidly over the last 2 decades. Plant sensors are becoming more precise, faster, easier to use and with lower cost. However, there are still several bottleneck issues in plant sensing, including the changing environmental conditions, the great variances on the plant, and the complicated GxTxEinteractions. These issues keep phenotyping difficult
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