Scholar
Tianxiang Dai
Google Scholar ID: uH7BnCgAAAAJ
Stanford University
Citations & Impact
Citations
196
H-index
6
i10-index
5
Publications
12
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 1. Matrix eigenvalue solver based on reconfigurable photonic neural network (Nanophotonics, 2022).
- 2. Snapshot Mueller spectropolarimeter imager (Microsystems & Nanoengineering, 2023).
- 3. Integrated Photonic Neural Networks: Opportunities and Challenges (ACS Photonics, 2023).
- 4. Graphene/silicon heterojunction for reconfigurable phase-relevant activation function in coherent optical neural networks (Nature Communications, 2023).
Education
- PhD Student in Electrical Engineering at Stanford University, advised by Jonathan Fan.
Background
- Research Interests: Applications of machine learning and optimization techniques in nanophotonics, including inspirations from computer graphics; also researches in designing possible practical solutions to optical neural networks.
