Jin-Song Pei holds a B.Eng. in Structural Engineering from Xi’an Jiaotong University, Xi'an, China and M.Eng. from Nanyang Technological University, Singapore, and Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University, New York in 2001. She is an Associate Professor at the School of Civil Engineering & Environmental Science, the University of Oklahoma. Her research interests are multidisciplinary, centering on modeling nonlinear dynamical systems using real world data measurements. She has been working on constructive methods for the initialization of sigmoidal neural networks in function approximation towards interpretable machine learning. Dr. Pei’s team studies the mechanical counterparts of memristors, memcapacitors, and more, which form a new family of hysteresis models, called mem-models, with new physical insights and improved computational efficiency.
Jin-Song Pei holds a B.Eng. in Structural Engineering from Xi’an Jiaotong University, Xi'an, China and M.Eng. from Nanyang Technological University, Singapore, and Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University, New York in 2001. She is an Associate Professor at the School of Civil Engineering & Environmental Science, the University of Oklahoma. Her research interests are multidisciplinary, centering on modeling nonlinear dynamical systems using real world data measurements. She has been working on constructive methods for the initialization of sigmoidal neural networks in function approximation towards interpretable machine learning. Dr. Pei’s team studies the mechanical counterparts of memristors, memcapacitors, and more, which form a new family of hysteresis models, called mem-models, with new physical insights and improved computational efficiency.