February 27, 2024

University of Engineering News: Ming Shao receives $498K Career award from Countrywide Science Foundation | School of Engineering

The Profession Method is the National Science Foundation’s most prestigious award in assistance of early-profession school who have the probable to provide as educational position types in investigate and schooling.

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Dr. Ming Shao is an assistant professor of laptop or computer and information science at UMass Dartmouth’s Faculty of Engineering.

Dr. Ming Shao, assistant professor of laptop and details science, is the receiver of a $498,970 Countrywide Science Foundation (NSF) Profession award for his project “Profession: Enabling Continuous Multi-watch Illustration Understanding: An Adversarial Viewpoint.” The Occupation System is the NSF’s most prestigious award in guidance of early-vocation college who have the prospective to provide as tutorial function products in exploration and schooling.

“Illustration discovering strategies try to extract and abstract vital facts (i.e., the options) from raw knowledge to be made use of in analyses in a large range of applications. As a vital stage in machine mastering programs, representation mastering is intended to be sturdy in its ability, irrespective of the mutation of raw details owing to noises or the variants of raw info prompted by seize gadgets,” suggests Shao. “In the era of big information, illustration studying approaches are confronted with new problems. Massive data collected from various sensors (e.g., the multi-watch camera method) or presented in different modalities (e.g., audio-visible-textual content) have overloaded existing representation learning tactics.”

This challenge will build a sturdy continuous representation-finding out product to address these troubles. In authentic-globe scenarios exactly where knowledge accessibility is limited (e.g., sensitive information) or the processing power of devices is minimal (e.g., edge and cellular units), stakeholders will benefit from the adaptive illustration mastering methods to allow continual info analyses. The analysis outcomes will be leveraged to promote STEM schooling for K-12 college students and education pursuits at UMass Dartmouth.

“I am grateful to obtain this award to support my study in illustration mastering, university student mentorship, and academic functions at UMass Dartmouth, and advertise study collaborations and civic engagement in the South Coastline of Massachusetts,” suggests Shao.

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School of Engineering – Property, Departments University of Engineering, Information and Community Information, Exploration, STEM


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