Ying-Chen ‘Daphne’ Chen

About

Ying-Chen Chen is a Ph.D. graduated from Department of Electrical and Computer Engineering (ECE), The University of Texas at Austin. She was a hardware developer at the IBM and Pathfinding Emerging Memory Engineer at Micron, working on inline functional characterization and modeling. At the University of Texas at Austin, she focuses on the topics on the next generation non-volatile memory application for storage class memory and new computing platform.

Her current research and interests emphasize on the combined experimental and modeling approach on several emerging post-CMOS solid-state devices. [1] Materials manipulation, nanostructure, electrical characterization, and physical modeling for high storage class memory; [2] composite material integrations for crossbar array applications, and flexible electronic devices with embedded sensory systems, [3] neuromorphic computing by using emerging memories for synapse-and neuron-mimic system.

Personal Website: https://sites.google.com/view/yingchenchen

 

Representative Publications

Recent publications

Jennifer S. Martinez Professor, Applied Physics and Materials Science Director, Center for Materials Interfaces in Research and Applications Northern Arizona University

Ying-Chen 'Daphne' Chen

Assistant Professor, School of Informations, Computing, and Cyber Systems

Contact Information

phone: (928) 523-5349

email: Ying-Chen.Chen@nau.edu

office: School of Informatics, Computing, and Cyber Systems (90), Room: 209

Google scholar

Awards and Honors

2017 Dr. Chen has been selected as recipient of Rising Stars 2017 in EECS, Stanford (by-invitation-only, 60 participants selected in the US)

2019 Dr. Chen has been selected for Princeton Pathways into the Academy program, Princeton University’s School of Engineering and Applied Science

2019 The article entitled “Selectorless resistive switching memory: Non-uniform dielectric architecture and seasoning effect for low power array applications,” has been featured on the cover of AIP Advances.

2019 Sandia National Laboratory Research Award

2018 North America Taiwanese Engineer and Science Association (NATEA) Scholarship

2017-2019 Professional Development Award, UT Austin

2016-2019 Travel Award on Electrochemical Society (ECS) Meeting

2016-2017 Graduate Dean’s Prestigious Fellowship, UT Austin

2016 Best Paper Award Candidate, 2016 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA)

2015-2018 Academic Competitive Award, UT Austin

2015 George J. Heuer, Jr. Ph.D. Endowed Graduate Fellowship, UT Austin

2016-2018 Ju-Nam and Pearl Chew Endowed Presidential Fellowship, UT Austin

Professional Experience

Dr. Chen received the Ph.D. degree in the Department of Electrical and Computer Engineering (ECE) at The University of Texas at Austin in 2019. She is focused on the emerging memory devices for the future of computing using emerging physics and materials. 

Prior to joining NAU, she was the Pathfinding Research and Development Emerging Memory Engineer at Micron Technology. She was also working on nanoelectronics characterization and modeling hardware development department at IBM.