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Electrical Engineering and Computer Science

Kaiqun Fu

Kaiqun Fu

Title

Assistant Professor

Office Building

Daktronics Engineering Hall

Office

123

Mailing Address

Daktronics Eng Hall 123
Electrical Engineering/Computer Science-Box 2222
University Station
Brookings, SD 57007

Biography

Dr. Kaiqun Fu is an Assistant Professor in Department of Electrical Engineering and Computer Science (EECS), South Dakota State University (SDSU), Brookings, SD. He received his Ph.D. degree from the Virginia Tech, in 2021, and the M.S. degree from Virginia Tech in 2016. He worked on research projects involving urban perception with deep learning, traffic impact analysis for smart cities, and emerging technologies prediction. His research and teaching focus on Spatial Data Mining, Machine Learning, Deep Learning, GeoAI, Social Media Analysis and Urban Computing.

Education

- Ph.D. Computer Science, Virginia Tech, Falls Church, VA
- M.S. Computer Science, Virginia Tech, Falls Church, VA

Academic Interests

- Spatial Data Mining
- Machine Learning
- Natural Language Processing

Academic Responsibilities

- CSC 792: Spatial Data Mining
- CSC 492/592: Introduction to Machine Learning
- CSC 705: Design and Analysis of Computer Algorithms

Committee Activities

External:
- ACM SIGSPATIAL: SRC Chair (2021, 2022)
- Guest Associate Editor for Frontiers in BigData

SDSU:
- CS Graduate Committee
- CS Graduate Curriculum Committee
- CS Undergrad Curriculum Committee
- Search Committee (EECS, ABE)

Grants

• SDSU SPARC Program: 07/01/2023 - 06/30/2024
Title: Analyzing Deaths of Despair Determinants in Rural Areas with Spatiotemporal Considerations
Role: Co-PI

• NSF RII Track 2: 09/15/2023 - 08/31/2027
Title: Collaborative Research: RII Track‐2 FEC: STORM: Data‐Driven Approaches for Secure Electric Grids in Communities Disproportionately Impacted by Climate Change
Role: SP

Professional Memberships

- Member of Institute of Electrical and Electronics Engineers (IEEE)
- Member of ACM SIGSPATIAL

Work Experience

- 2021 – Present: Assistant Professor, EECS Department, South Dakota State University
- 2017 - 2021: Graduate Research Assistant, Department of Computer Science, Virginia Tech

Area(s) of Research

- Spatial Data Mining
- Spatiotemporal Event Analysis
- Graph Neural Networks
- Urban Computing
- GeoAI

Department(s)

Links

Research WebsiteGoogle Scholar