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

• FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION (2023)
• Deep transform and metric learning network: Wedding deep dictionary learning and neural network (2022)
• Discovering urban functional zones from biased and sparse points of interests and sparse human activities (2022)
• Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles (2022)
• REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC (2022)
• SAR Self-Enhanced by Electro-optical Network (SARSEEN) (2022)
• Atlantic Hurricane Activity Prediction: A Machine Learning Approach (2021)
• DEEP TRANSFORM AND METRIC LEARNING NETWORKS (2021)
• DYNAMIC GRAPH LEARNING BASED ON GRAPH LAPLACIAN (2021)
• Dynamic Graph Learning: A Structure-Driven Approach (2021)