Talks and presentations

Machine Learning-Enhanced airPLS Parameter Optimization for Noise-robust SERS Baseline Correction

March 25, 2026

Oral Presentation, Session Presider, Advances in Spectroscopy: Advances in Spectroscopic Detection, ANYL: Division of Analytical Chemistry, ACS Spring 2026, Atlanta, Georgia

Jiaheng Cui, Longtang Wang, Xianyan Chen, Pengju Yin, and Yiping Zhao, “Machine Learning-Enhanced airPLS Parameter Optimization for Noise-robust SERS Baseline Correction,” Advances in Spectroscopy: Advances in Spectroscopic Detection, ANYL: Division of Analytical Chemistry, ACS Spring 2026, March 22 – 26, 2026, Atlanta, Georgia, USA

Automated Baseline Optimization in Surface Enhanced Raman Spectroscopy: Artificial Intelligence–Driven Parameter Tuning for Improved Chemical Detection

October 09, 2025

Invited Talk, FORENS 04, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) SciX 2025, Covington, Kentucky

Jiaheng Cui, Longtang Wang, Xianyan Chen, Pengju Yin, and Yiping Zhao, “Automated Baseline Optimization in Surface Enhanced Raman Spectroscopy: Artificial Intelligence–Driven Parameter Tuning for Improved Chemical Detection,” FORENS 04, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) SciX 2025, October 5 – 10, Covington, Kentucky, USA

Beyond Traditional airPLS: Improved Baseline Removal in SERS with Parameter-Focused Optimization and Prediction

September 22, 2025

Poster Presentation, The 5th International Online Conference on Nanomaterials (IOCN 2025), MDPI, Virtual Conference

Jiaheng Cui, Longtang Wang, Xianyan Chen, Pengju Yin, and Yiping Zhao, “Beyond Traditional airPLS: Improved Baseline Removal in SERS with Parameter-Focused Optimization and Prediction,” The 5th International Online Conference on Nanomaterials (IOCN 2025), MDPI, Virtual Conference, September 22–24, 2025

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

February 09, 2024

Poster Presentation, College of Public Health Research Day 2024, University of Georgia, Athens, GA

Joshua C. 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,” College of Public Health Research Day 2024, University of Georgia, February 9, 2024, Athens, Georgia, USA

Decoding Viral Mixtures: SERS and Deep Learning Unraveling Complex Pathogens