Arunkumar Kannan
Scholar

Arunkumar Kannan

Google Scholar ID: -oOQ44AAAAAJ
Department of Electrical and Computer Engineering, Johns Hopkins University
Medical ImagingComputer VisionMachine LearningDeep learning
Citations & Impact
All-time
Citations
45
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
11
list available
Resume (English only)
Background
  • Fourth-year PhD student in the Department of Electrical and Computer Engineering at Johns Hopkins University
  • Research interests include Generative AI, Multi-modal Foundation Models (FM), and State-Space Models (e.g., Mamba)
  • Doctoral work lies at the intersection of (3D/4D) functional imaging, deep learning, computer vision, image processing, and analysis
  • Enthusiastic about leveraging structured state-space sequence models (e.g., Mamba) to learn long-context spatio-temporal representations in medical imaging video sequences, incorporating domain knowledge via FMs like BioMedCLIP
  • Interested in generative models for medical imaging, ML explainability, and high-dimensional representation learning for structural and functional brain connectomics