About me

Hi! I am Yanghao Wang (王洋昊), a Ph.D. student in Ultra Large Scale Integration at the School of Integrated Circuits, Peking University. My research is focused on neuromorphic computing and nonlinear dynamics. Now I’m in Yuchao Yang’s Group. I obtained my B.S. also from the School of Integrated Circuits, Peking University and got the 2020 IEEE Electron Devices Society Undergraduate Student Fellowship.

I am broadly interested in research that utilizes memristive devices’ dynamics for exploring new computing paradigms, especially about “complex computing”. My research ranges from purely theoretical problems about nonlinear dynamics in neuroscience and circuits to tentative practice for constructing a hardware system with novel computing principles. Currently my research interests focus on two themes:

• Use Mott devices based on VO2 for constructing complex systems with its intrinsic physics dynamics, like negative differential resistance, oscillation and chaos.
• Use computational neuroscience theory to simulate the advanced brain-inspired algorithms based on devices’ characteristics and explore the neuromorphic computing paradigms with novel hardwares.

My past research is documented under the Publications tab.

Please feel free to contact me through e-mail if you are interested in collaborating or simply having a chat about computing and future!