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Jiawei Yuan

faculty

Jiawei Yuan

Associate Professor

Computer & Information Science

Research Website

Contact

508-999-8299

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Dion 308A

Education

2015University of Arkansas Little RockPhD
2011University of Electronic Science and Technology of ChinaBS

Teaching

Courses

Written presentation of an original research topic in Data Science which demonstrates the knowledge & capability to conduct independent research. The thesis shall be completed under the supervision of a faculty advisor. An oral examination in defense is required.

Doctoral thesis proposal development based on technical writing process, data interpretation, experimental design. Students who successfully complete the course will be able to assess information from the primary scientific literature, formulate scientific questions (hypotheses), and generate an experimental plan to help validate or nullify their hypothesis. Students will demonstrate a command of oral and written communication skills by completing this course.

Research investigations of a fundamental and/or applied nature defining a topic area and preliminary results for the dissertation proposal undertaken before the student has qualified for EAS 701. With approval of the student's graduate committee, up to 15 credits of EAS 601 may be applied to the 30 credit requirement for dissertation research.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.

Research

Research awards

  • $ 299,999 awarded by National Science Foundation for Collaborative Research: CISE-MSI: DP: OAC: Integrated and Extensible Platform for Rethinking the Security of AI-assisted UAV Paradigm
  • $ 8,844 awarded by University of Maryland Baltimore County for SaTC: EDU: Collaborative: Bolstering UAV Cybersecurity Education through Curriculum Development with Hands-on Laboratory Framework
  • $ 240,000 awarded by National Science Foundation for Collaborative Research: Building Cybersecurity Mindset through Continuous Cross-module Learning
  • $ 1,218,640 awarded by National Science Foundation for CyberCorps Scholarship for Service: Accelerating Cybersecurity Education, Scholarship and Service
  • $ 140,000 awarded by the National Science Foundation for Collaborative Research: CyberTraining: Pilot: Operationalizing AI/Machine Learning for Cybersecurity Training
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