CV

Full CV

📄 Full CV (PDF)

Education

Ph.D. in Materials Science, Northwestern Polytechnical University, Joint Research at Ulm University, Germany
B.S. in Materials Science, Northwestern Polytechnical University

Work Experience

2021 - Present: Visiting Professor
- Materials Science Institute of Madrid, CSIC, Spain
- Research focus: 2D Semiconducting Materials & Sensors, Internet of Things (IOT), Machine Learning, AI for Materials
2020 - Present: Associate Professor
- Xidian University, China
- Teaching and research: 2D Semiconducting Materials & Sensors, Internet of Things (IOT), Machine Learning, AI for Materials
2017 - 2019: Postdoctoral Researcher
- Case Western Reserve University, USA
- Research focus: Nanoelectromechanical systems (NEMS), nano-and micro-fabrications and sensors, Data analysis using Python
2014 - 2020: Assistant Professor
- Xidian University, China
- Teaching and research: Wide Bandgap Semiconductors (III-N & Oxide) Materials and Devices, 2D Materials & Sensors, Machine Learning
2013 - 2014: MEMS Engineer
- Xi’an Flight Automatic Control Research Institute
- Worked on microelectromechanical systems (MEMS) for sensor applications

Skills

Materials prepration, device fabrication and characterization
- Nanofabrication
- Optical spectroscopy
- Electrical measurements
Machine learning for materials science
- Deep learning with PyTorch
- Computer vision
MEMS/NEMS device design, fabrication and characterization
Programming languages
- Python
- MATLAB

Publications

Building an affordable self-driving lab: Practical machine learning experiments for physics education using Internet-of-Things Permalink

Yong Xie, Xiaolong He, Kexin He, Qianjie Lei, Yang Liu, Andres Castellanos-Gomez. (2025). Building an affordable self-driving lab: Practical machine learning experiments for physics education using Internet-of-Things. APL Machine Learning, 3(4), 046105.

Low-Cost Maskless Photolithography Using an LCD-3D Printer for Microelectronic Devices Permalink

Qianqian Wu, Ying Zhang, Thomas Pucher, Bob McLarnon, Esteban Zamora Amo, Peng Zhang, Yong Xie, Andres Castellanos-Gomez. (2025). Low-Cost Maskless Photolithography Using an LCD-3D Printer for Microelectronic Devices. Small Methods, 9(11), e01336.

Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models Permalink

Yong Xie, Kexin He, Andres Castellanos-Gomez. (2025). "Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models." Small Structures, 6, 2500173.

Low‐Symmetry 2D t‐InTe for Polarization‐Sensitive UV‐Vis‐NIR Photodetection Permalink

Nan Zhou, Ziwei Dang, Haoran Li, Zongdong Sun, Shijie Deng, Junhao Li, Xiaobo Li, Xiaoxia Bai, Yong Xie, Liang Li, Tianyou Zhai. (2024). "Low‐Symmetry 2D t‐InTe for Polarization‐Sensitive UV‐Vis‐NIR Photodetection." Small, 20(40), 2400311.

Identification and Structural Characterization of Twisted Atomically Thin Bilayer Materials by Deep Learning Permalink

Yong Xie, Haitao Yang, Ruiqi Hu, et al. (2024). "Identification and Structural Characterization of Twisted Atomically Thin Bilayer Materials by Deep Learning." Nano Letters, 24(9), 2789-2797.

Van der Waals Materials for Paper Electronics Permalink

Wenliang Zhang, Kexin He, Andres Castellanos-Gomez, Yong Xie. (2023). "Van der Waals Materials for Paper Electronics." Trends in Chemistry, Elsevier.

Laser Trimming for Lithography-Free Fabrications of MoS₂ Devices Permalink

Yong Xie, Onur Çakıroğlu, Wenshuai Hu, Kexin He, Sergio Puebla, Thomas Pucher, Qinghua Zhao, Xiaohua Ma, Carmen Munuera, Andres Castellanos-Gomez. (2023). "Laser Trimming for Lithography-Free Fabrications of MoS2 Devices." Nano Research, 16(4), 5042-5046.

Solvent-free fabrication of broadband WS₂ photodetectors on paper Permalink

Wenliang Zhang, Onur Çakıroğlu, Abdullah Al-Enizi, Ayman Nafady, Xuetao Gan, Xiaohua Ma, Sruthi Kuriakose, Yong Xie, Andres Castellanos-Gomez. (2022). "Solvent-free fabrication of broadband WS₂ photodetectors on paper." Opto-Electronic Advances, 6(3), 220101-1–220101-11.

Straining of Atomically Thin WSe₂ Crystals: Suppressing Slippage by Thermal Annealing Permalink

Wenshuai Hu, Yabin Wang, Kexin He, Xiaolong He, Yan Bai, Chenyang Liu, Nan Zhou, Haolin Wang, Peixian Li, Xiaohua Ma, Yong Xie. (2022). "Straining of Atomically Thin WSe2 Crystals: Suppressing Slippage by Thermal Annealing." Journal of Applied Physics, 132(8).

Straining and Tuning Atomic Layer Nanoelectromechanical Resonators via Comb-Drive MEMS Actuators Permalink

Yong Xie, Jaesung Lee, Yanan Wang, Philip X-L Feng. (2021). "Straining and Tuning Atomic Layer Nanoelectromechanical Resonators via Comb-Drive MEMS Actuators." Advanced Materials Technologies, 6(2), 2000794.

Teaching

Introduction to Artificial Intelligence for Scientific Problems

Artificial Intelligence Transforming Materials Science

Honors

2026 — 1st Place (tie), Web Agent Track, UC Berkeley AgentX-AgentBeats Phase 1 (team: MateFin; 1,300+ teams)
2020 — IOP China Top Cited Paper Award (Nanoscience)
- Paper: Controllable growth of monolayer MoS2 by chemical vapor deposition via close MoO2 precursor for electrical and optical applications
2020 — IOP China Top Cited Paper Award (Nanoscience)
- Paper: NaCl-assisted one-step growth of MoS2-WS2 in-plane heterostructures
2015 — Shaanxi Provincial Excellent Doctoral Dissertation Award
- Dissertation: ZnO low-dimensional materials: growth, property characterization, and applications
2004 — First Prize, 5th Shaanxi Provincial Undergraduate Advanced Mathematics Competition

Learning Certificates

2026 — Agentic AI MOOC, Berkeley Center for Responsible, Decentralized Intelligence
- Issued: Feb 2026
2025 — 6.00.2x: Introduction to Computational Thinking and Data Science, MITx Courses
- Issued: Dec 2025
- Credential ID: ad9a41d3054a49c993e4980c21198ef2
2022 — Fundamentals of Statistics (edX Verified Certificate), MITx Courses
- Issued: May 2022
- Credential ID: dd8c3aa0874b48e0ad3f43ef580f3c38
2021 — Data Analysis: Statistical Modeling and Computation in Applications, MITx Courses
- Issued: Jun 2021
- Credential ID: f523a4a64e6d4993bc73319d6985572b
2021 — Phot1x: Silicon Photonics Design, Fabrication and Data Analysis, MITx Courses
- Issued: Apr 2021
- Credential ID: 554a987262e648baacc005d115a696cf
2020 — 6.86x: Machine Learning with Python — From Linear Models to Deep Learning, MITx Courses
- Issued: Jun 2020
- Credential ID: cb0677194fb24426a7fdcd5f1d741e9a
2019 — Probability: The Science of Uncertainty and Data, MITx Courses
- Issued: Sep 2019
- Credential ID: 6b49ec578d5d4ab19f1f05a12e2ae20a
2019 — 3.46.2x: Photonic Integrated Circuits 1, MITx Courses
- Issued: Jun 2019
- Credential ID: bc369061c70b4690939e297b2831170f
2017 — Interfacing with the Arduino, Coursera
- Issued: Mar 2017
- Credential ID: 4WLJSJWL3LVT

Service and Leadership

Organized workshops on low-dimensional materials
Supervised graduate students in materials science
Reviewer for journals: Nano Letters, Small, APL, JAP

Yong Xie

CV