DOCTORAL STUDENT, SCHOLARSHIP
Kungliga Tekniska Högskolanhttps://www.kth.se/profile/zheheng
- Zheheng Song, whose name is pronounced similarly to 'Johan,' is a Ph.D. candidate specializing in Photonics and Semiconductor Quantum Dots. His primary focus is on nanoparticle simulation (COMSOL, PVtrace, Python) and single-dot microscopy characterization.
- Besides, he is interested in machine learning for photonics and renewable energy and is skilled in 3D modeling, particularly using Blender for creating journal covers. In his previous background, he has also conducted extensive work on SiNWs synthesis (MACE method) and nanofabrication in clean rooms.