Minje Kim Assistant Professor

Research Areas:

• Artificial Intelligence
• Health@Luddy - Crosscutting
• Intelligent Computer Engineering
• Machine Learning
• Embedded Systems, Computer Architecture
• Data Science
• Intelligent Systems
• Computer Vision, Speech, and Music Processing
• Artificial Intelligence and Machine Learning
• Computer Engineering
• Cyber-physical Systems

Research Projects:

• Personalized Speech Enhancement
  • Collaborative Deep Learning
  • Sparse Mixture of Local Experts
  • Self-Supervised Learning and Data Purification
  • Knowledge Distillation
• Bitwise Machine Learning
  • Bitwise Source Separation on Hashed Spectra
  • Learning to Hash for Source Separation
• Neural Audio Coding
  • Psychoacoustic Loss Functions for Neural Audio Coding
  • Source-Aware Neural Audio Coding
  • HARP-Net
• Machine Learning for RF Signals
  • RF Signal Compression Using SVD
  • Frequency Domain RF Classification
• Lightweight End-to-End Speech Enhancement
• Collaborative Audio Enhancement
• Neural Pitch Correction for Singing Voice
• Old Demo Page