Hamid Krim

Hamid Krim is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He leads the Vision, Information and Statistical Signal Theories and Applications (VISSTA) group, focusing on statistical signal/image analysis, data science, and machine learning. His prior roles include Research Scientist at MIT’s Laboratory for Information and Decision Systems and Member of Technical Staff at AT&T Bell Labs. He holds a Ph.D. in Electrical Engineering from Northeastern University, and degrees from the University of Washington and University of Southern California.

Education:

• Ph.D., Electrical Engineering, Northeastern University (MA), 1990s
• Master's, Electrical Engineering, University of Washington
• Bachelor's, Electrical Engineering, University of Southern California and University of Washington

Research Interests: Machine Learning, AI, Signal Processing, Communications, and Control Systems. His work bridges formal mathematical frameworks with applied problems, emphasizing generative AI, adversarial robustness, and subspace-driven data analysis. Recent innovations include Volterra neural networks and expansive synthesis techniques for data generation.

Awards & Recognition:

• 2000 NSF CAREER Award
• 2008 IEEE Fellow
• 2019 IEEE SPS Sustained Impact Paper Award
• Multiple extended research invitations at top institutions globally

Grants & Advising: Leads the VISSTA Lab, collaborating on projects like medical algorithm development (e.g., lung wheeze analysis) and hurricane activity prediction. His work spans interdisciplinary applications in healthcare, robotics, and defense systems.

Labs & Teams: Director of the VISSTA Lab, fostering research in signal theory and machine intelligence. Collaborates with academia and industry on cutting-edge AI and sensor fusion technologies.