I am currently a PhD candidate in Computer Science at the University of Minnesota, Twin-Cities.
- Our paper has been accepted by IEEE International Conference on Data Mining (ICDM'18)!
- Our paper has been accepted by ACM SIGSPATIAL 2018!
- Our paper has been accepted by IEEE International Smart Cities Conference (ISC2'18)!
Broad Research Fields
Major projects (details in Research page):
- Machine Learning, Artificial Intelligence, Data Science, Data Mining
- Spatial Computing
- Individual tree inventory generation using remote sensing datasets in complex urban environments
- Societal motivation: EAB invasion has caused millions of Ash tree deaths and is estimated to cost over 10 billion US dollars.
- Hardness: Known as one of the most difficult problems in remote sensing (satellite view).
- Supported by: National Science Foundation's grant on smart cities.
- Optimization with spatial contiguity constraints
- Societal motivation: Huge demands on food production (population projected to reach 9 billion by 2050) vs. consequent severe water quality issues (e.g., Dead Zone in the Gulf of Mexico).
- Hardness: APX-hard (subsumes NP-hard) by our proof.
Graduate level machine learning and data science courses.