Sijia Liu

About

Sijia Liu received the Ph.D. degree (with All-University Doctoral Prize) in Electrical and Computer Engineering from Syracuse University, NY, USA, in 2016. He was a Postdoctoral Research Fellow at the University of Michigan, Ann Arbor, in 2016-2017, and a Research Staff Member at the MIT-IBM Watson AI Lab in 2018-2020. Since 2021, he has served as an Affiliated Professor at the MIT-IBM Watson AI Lab, IBM Research. Dr. Liu's research spans the areas of machine learning, optimization, computer vision, security, signal processing, and data science, with a focus on developing learning algorithms and theory for trustworthy artificial intelligence (AI). These research themes provide a solid foundation for reaching his long-term research objective: Making AI systems safe and scalable. He received

Education

• Ph.D. in Electrical and Computer Engineering, Syracuse University
• M.S., B.S. in Electrical Engineering, Xi’an Jiaotong University, Xi'an, China