Prof. Ayfer Ozgur — Research Profile
Stanford University · Electrical Engineering
About
Prof. Ayfer Ozgur at Stanford University Electrical Engineering lists Information and coding theory, communications, signal processing; Signal processing and control; AI, machine learning, optimization as their registered research area.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Geometric Analysis and Curvature Flows
Sergey Levine 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
Scaling Online Optimal Transport Minibatches for Flow MatchingNewPreprintarXiv (Cornell University) · Oct 13Choi, Beomjun
KAIST · Mathematical Sciences
Sharp dynamical isoperimetric principle for mean curvature flowPreprintarXiv (Cornell University) · Oct 7Juncheol Pyo
Pusan National University · Mathematics
Weighted Stable Minimal Capillary Surfaces in a 3-Dimensional Weighted Riemannian ManifoldPotential Analysis · Aug 1
Other labs in this department
- Abbas El Gamal 교수 연구실
Information and coding theory, communications, signal processing; AI, machine learning, optimization; Energy, environment, and sustainability
- Ada Poon 교수 연구실
Biomedical devices, sensors, and systems; Information and coding theory, communications, signal processing; Integrated Circuits and Systems
- Amin Arbabian 교수 연구실
Biomedical devices, sensors, and systems; Integrated Circuits and Systems; Computational Sensing, Imaging, and Display
- Balaji Prabhakar 교수 연구실
Information and coding theory, communications, signal processing; Computer architecture, security, hardware/software systems; Energy, environment, and sustainability
- Benjamin Van Roy 교수 연구실
Information and coding theory, communications, signal processing; AI, machine learning, optimization
- Brad Osgood 교수 연구실
Information and coding theory, communications, signal processing; Signal processing and control; AI, machine learning, optimization