Research Interests

Last updated on Jul 30, 2024 1 min read

I have been working on graph dynamics in methodology as well as in many real world applications.

  • Social network 1
  • Transportation 2
  • Spatial epidemiology, ecological network 3
  • Brain network 4
  • Genetics 5
  • Circuit 6

Also, I have been working on spectral method 7, Uncertainty Quantification 8, LLM/transformers, AI education 9

research interests
research interests

  1. Working with faculty with crimiology expertise in cyberbully, hate speech in NSF projects: Advancing Speech Detection: A Hybrid Approach Using Large Language Models and Graph Neural Networks, Synergistic Graph Flow Analytics: An Integrated Infrastructure for Bridging Complexity, Fragmentation, and Interdisciplinary Gaps ↩︎

  2. Graph Convolutional Networks with Kalman Filtering for Traffic Prediction, Geospatial clustering for balanced and proximal schools ↩︎

  3. with USDA ecologists in funded projects. ↩︎

  4. with Univ. of Mississippi Medical Center (UMMC) on brain signals of ADHD and sleep ↩︎

  5. with MS State CVM biologists ↩︎

  6. Estimating the circuit de-obfuscation runtime based on graph deep learning ↩︎

  7. Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks ↩︎

  8. AAAI 24: Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization, SDM 23: Understanding Influence Maximization via Higher-Order Decomposition ↩︎

  9. Learning to create Intelligent Solutions with Machine Learning and Computer Vision: A Pathway to AI Careers for Diverse High School Students ↩︎

陈枳扦
陈枳扦
Assistant Prof.

I am an Assistant Professor of Computer Science & Engineering at Mississippi State University, focusing on dynamics over graphs (see details of my research interests). I obtained my Ph.D. at Virginia Tech in 2020, under the supervision of Dr. Chang-Tien Lu. For students interested in me, check ways to work with me. If interested in my courses, please check the course syllabi.