Yukui Luo

faculty

Yukui Luo, PhD

Assistant Professor

Computer & Information Science

Contact

508-999-8353

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Dion 302C

Education

2023Northeastern UniversityPhD in Computer Engineering
2017Illinois Institute of TechnologyMS in Electrical Engineering
2013Shanghai University of Engineering ScienceBE in Automation

Teaching

Programs

Teaching

Courses

The relational, hierarchical, and network approaches to database systems, including relational algebra and calculus, data dependencies, normal forms, data semantics, query optimization, and concurrency control on distributed database systems.

Department seminar presentations by speakers from industry and academia in addition to UMass Dartmouth faculty, and CIS Master student thesis defense presentations that are scheduled during the seminar course time slot. Students are required to attend these presentations and participate in technical discussions and write a report by the end of the semester.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

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.

Research

Research interests

  • Privacy-preserving Machine Learning
  • Cybersecurity
  • Cloud-FPGA Virtualization
  • Hardware Security
  • High-Performance Cloud Computing

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