Hamid Krim

Biography

As a Member of Technical Staff at AT&T Bell Labs, he has worked in the areas of telephony and digital communication systems/subsystems. Following an NSF postdoctoral fellowship at Foreign Centers of Excellence, LSS/University of Orsay, Paris, France, he became a Research Scientist at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, performing and supervising research. He is presently on the faculty in the ECE Department, North Carolina State University, Raleigh, leading the Vision, Information and Statistical Signal Theories and Applications group, whose research interests are in statistical signal and image analysis, Data and Machine Intelligence all from a    formal/mathematical perspective with a keen emphasis on applied problems. Dr. Krim has served in IEEE in various roles as well as the US government.

Education

• Ph.D.
  Electrical Engineering
  Northeastern University, MA
• Master's
  Electrical Engineering
  University of Washington
• Bachelor's
  Electrical Engineering
  University of Southern California and University of Washington

Recent Publications

• Accelerated Image-Aware Generative Diffusion Modeling (2024)
• Data representation: from multiscale transforms to neural networks (2023)
• Expansive Synthesis: Generating Large-Scale Datasets from Minimal Samples” (2024)
• Koopcon: A new approach towards smarter and less complex learning (2024)
• FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION (2023)
• Implicit Bayes Adaptation: A Collaborative Transport Approach (2023)
• Implicit-Class Driven Optimal Transport for Domain Adaptation (2023)
• Latent Code-Based Fusion: A Volterra Neural Network Approach (2023)
• Scaling Subspace-Driven Approaches Using Information Fusion (2023)
• Stochastic Proximal Algorith with SON Regularization: Towards Efficient Optimal Transport for Domain Adaptation (2023)