Yoon Ho Jang

Educations

• 2014. 03 - 2018. 08 B.S. 

Department of Materials Science and Engineering, Seoul National University, Seoul, Korea

• 2018. 09 – 2023. 02 Integrated M. S. & Ph. D.

Department of Materials Science and Engineering, Seoul National University, Seoul, Korea

Work Experiences

• 2026. 03. – 

Assistant Professor, Yonsei University, Seoul, Korea

• 2025. 01. – 2026. 01.

Postdoctoral fellow, Harvard University, Cambridge, Massachusetts, USA

• 2023. 03. – 2026. 02.

Postdoctoral fellow, Inter-University Semiconductor Research Center, Seoul National University, Seoul, Korea

Honors and Awards

1.     Excellent Paper Award, BK21 4th phase, Department of Materials Science and Engineering,
College of Engineering, Seoul National University (June 2022)

2.     Excellent Graduate Students Award, BK21 4th phase, Seoul National University (June 2022)

3.     Excellence Award, AI Model Presentation, Korea Research Institute of Standards and Science (August 2022)

4.     17th Semiconductor Scholarship, Korea Semiconductor Industry Association (October 2022)

5.     Doyeon Award, Inter-University Semiconductor Research Center (October 2024)

Selected Papers

1.     Nature Communications, Time-varying data processing with nonvolatile memristor-based temporal kernel, 2021

2.     Advanced Materials, Graph analysis with multi-functional self-rectifying memristor array, 2023

3.     Advanced Materials, Spatiotemporal Data Processing with Memristor Crossbar-Array-Based Graph Reservoir, 2023

4.     Advanced Materials, Cross-Wired Memristive Crossbar Array for Effective Graph Data Analysis, 2024

5.     Advanced Materials, Memristive Crossbar Array-based Probabilistic Graph Modeling, 2024

6.     Advanced Materials, Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal-Oxide-Semiconductor Capacitor for Temporal Data Analysis, 2024

7.     Advanced Materials, Multi-dimenstional Graph Analysis Using Vertical Memristive Crossbar Array, 2025

8.     Nature Communications, Next-Generation Graph Computing with Electric Current-based and Quantum-inspired Approaches, 2025