![]() Soleimani is advised by Professor Behtash Babadi. Ultimately, he hopes to use his research to create a tool that will influence fair algorithm development and improve the lives of many in an equitable way. He has found that a tension between individual and group fairness exists, and that this tension may be exacerbated as privacy-limiting information restrictions become more strict. Using distribution-level modeling, Lazri constructs context-dependent constraints out of these fairness notions that depend on the information available to the model. He has been analyzing the extent to which multiple fairness notions can be simultaneously satisfied, how much accuracy is achievable by a model that must satisfy different notions of fairness, and how the constraints on the information available to a model affect its ability to make fair and accurate decisions. decision-making process have been the focus of Lazri’s research. Questions about how to address biases extant in the A.I. Since some of this data may be inherently biased, teaching these models to maximize accuracy may perpetuate such biases in decision-making processes. However, when the data from which these models learn contains sensitive information, a variety of considerations must be taken into account in determining how the data are collected, handled, and used to make decisions. These models learn from large amounts of data in order to produce scores used for decision making purposes. Career Fairs Information Sessions Workshops Mock Interviews Information Tabling Company Days Engage iSchool Students Collaborate with the iSchool to recruit talented students, connect with innovative researchers, showcase your organization on campus, and inspire future technologists. on Accuracy and Ethics”, addresses issues of fairness resulting from the deployment of artificial intelligence (A.I.) models for decision making in high-stakes applications. More effective treatment strategies can be developed as a result of his studies. The resulting data can be applied to stroke rehabilitation by identifying specific areas within the motor cortex that become more involved during recovery. Since MEG has some limitations in spatial resolution, he developed a method called Network Localized Granger Causality (NLGC), which measures the influence of one brain region on another and the strength of that connection. To measure this, he uses Magnetoencephalography (MEG) to capture brain activity with high temporal resolution. His research has resulted in the discovery of auditory processing mechanisms between younger and older adults, showing that older adults exhibit bidirectional communications between the frontal region and the auditory cortex regardless of the listening environment. In addition, he studies poststroke recovery processes by investigating changes in brain connectivity in stroke patients during clinical rehabilitation. Soleimani’s thesis title is “Tracing Brain Connectivity over Time: Insights from Auditory Processing and Stroke Rehabilitation.” His research focuses on brain connectivity in the auditory cortex of younger and older adults in order to understand auditory processing and its potential implications for hearing aid design. The audience was comprised of non-specialists, so competitors are required to explain their research without technical jargon that is not known outside their research areas. The 3MT Competition challenges participants to communicate the significance of their research project in only three minutes. Right: Zachary LazriĮCE Graduate Students Zachary Lazri and Behrad Soleimani were recently named winners of the UMD Three Minute (3MT) Competition, sponsored by The UMD Graduate School. A ghost town, for example, is not a historical feature if it is still visible.Two ECE Graduate Students Win 2023 UMD Three Minute Thesis Competition ![]() ![]() The term makes no reference to the age, use, or any other aspect of the feature. Examples: a dried up lake, a destroyed building, a hill leveled by mining. Historical Features are physical or cultural features that are no longer visible on the landscape. Additions and/or corrections to the database are encouraged! Simple Add/Edit Procedure.
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