CV

My CV in PDF: Click Here

Education

• University of Georgia, Jun. 2023 - 2027(expected)
  • Ph.D in Engineering, Emphasis in Electrical and Computer Engineering
• Northeastern University, Sept. 2021 – May. 2023
  • Master in Artificial Intelligence, Khoury College of Computer Sciences
• Nankai University, Sept. 2017 - Jun. 2021
  • Bachelor of Science in Statistics, College of Mathematical Sciences
  • Awarded “Best Paper Award” for my bachelor thesis
• University of California, Berkeley, Aug. 2019 - Dec. 2019
  • Berkeley International Study Program
  • Awarded “Global Nankai” Abroad Study Scholarship

Skills

• Programming Languages: Python, JAVA, C++, JavaScript
• Others: OpenCV, R, MATLAB, Latex, Markdown, Android Development, Spark, MySQL, Azure

Publications

Ultra-Sensitive Detection of PFASs using Surface Enhanced Raman Scattering and Machine Learning: A Promising Approach for Environmental Analysis

Joshua Curtis Rothstein, Jiaheng Cui, Yanjun Yang, Xianyan Chen and Yiping Zhao, "Ultra-Sensitive Detection of PFASs using Surface Enhanced Raman Scattering and Machine Learning: A Promising Approach for Environmental Analysis", Sensors & Diagnostics 2024 3(8): 1272-1284.

Detection of SARS-CoV-2 in patient specimens by surface enhanced Raman spectroscopy and deep learning

Yanjun Yang, Hao Li, Dan Luo, Jiaheng Cui, Amit Kumar, Leslie Jones, Jackelyn Crabtree, Hemant Naikare, Yung-Yi C. Mosley, Teddy Spikes, Sebastian Hülck, Xianyan Chen, Ralph A. Tripp, Bin Ai, Yiping Zhao, "Detection of SARS-CoV-2 in patient specimens by surface enhanced Raman spectroscopy and deep learning," Optical Sensing and Detection VIII. Vol. 12999. SPIE, 2024.

Rapid Detection of SARS-CoV-2 Variants Using ACE2-Based SERS Sensor Enhanced by CoVari Deep Learning Algorithms

Yanjun Yang, Jiaheng Cui, Dan Luo, Jackelyn Murray, Xianyan Chen, Sebastian Hülck, Ralph Tripp, and Yiping Zhao*, "Rapid Detection of SARS-CoV-2 Variants Using ACE2-Based SERS Sensor Enhanced by CoVari Deep Learning Algorithms", ACS Sensors 2024 9 (6), 3158-3169

Decoding PFAS Contamination via Raman Spectroscopy: A Combined DFT and Machine Learning Investigation

Yangxiu Chen, Yanjun Yang, Jiaheng Cui, Hong Zhang, Yiping Zhao*, "Decoding PFAS contamination via Raman spectroscopy: A combined DFT and machine learning investigation.", Journal of Hazardous Materials, Volume 465, 2024, 133260, ISSN 0304-3894.