Dr. Donglin Wang, who obtained his doctoral degree in 2021 from Middle Tennessee State University with a focus on computational and data science, has developed a diverse research portfolio. With expertise covering machine learning, deep learning, pattern recognition, computational statistics, fMRI image analysis, classification algorithms, predictive analytics, and big data analytics, Dr. Wang has established a solid foundation in various domains. Actively participating in cutting-edge research, Dr. Wang is currently specializing in mental biomarker detection for mental disorders and contributing to innovative models for risk control in finance. By expanding his expertise into these domains, Dr. Wang consistently demonstrates a commitment to pushing the boundaries of knowledge and driving advancements in both the healthcare and financial sectors. His contributions are reflected in multiple publications across different journals, showcasing the breadth of his expertise. At present, Dr. Wang is at the forefront of pioneering research in quantum field on both fMRI analysis and finance. 

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1. Danlei Zhu, Yousaf Khaliq, Haoyuan Wang, Tingting Sun, and Donglin Wang, "Enhancing Mortgage Rate Prediction: A Comprehensive Evaluation of Computational Statistical Approaches", Journal of  Computer Mathematics, 2024. DOI: 10.1080/00207160.2024.2331691 (Corresponding author)
2. Tingting Sun, Haoyuan Wang and Donglin Wang, "Robust Prediction Intervals for Valuation of Large Portfolios of Variable Annuities: A Comparative Study of Five Models",  Journal of Computational Economics, 2024. DOI: 10.1007/s10614-024-10574-9 (Corresponding author)
3. Donglin Wang, Xin Yang and Wandi Ding. "Autism Spectrum Disorder (ASD) Classification with Three Types of Correlations Based on ABIDE I Data", Mathematical Foundations of Computing, 2023.
4. Donlin Wang, Qiang Wu and Don Hong. "Extracting Default Mode Network Based on Graph Neural Network for Resting State fMRI Study", Frontiers in Neuroimaging, 2022.
5. Donglin Wang, Rencheng Sun, Lisa Green. ''Prediction intervals of loan rate for mortgage data based on bootstrapping technique: A comparative study'', Mathematical Foundations of Computing (2022), DOI: 10.3934/mfc.2022027.
6. Donglin Wang, Don Hong and Qiang Wu. ''Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning'', IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022), DOI: 10.1109/TCBB.2022.3170527.
7. Donglin Wang, Don Hong, and Qiang Wu. ''Prediction of Loan Rate for Mortgage Data: Deep Learning versus Robust Regression", Computational Economics (2022). https://doi.org/10.1007/s10614-022-10239-5.
8. Donlin Wang and Qiang Wu, "On the Selection of Hyperparameters in Convolutional Neural Networks," 2021 International Conference on Computational Science and Computational Intelligence (CSCI), 2021, pp. 1728-1731, doi: 10.1109/CSCI54926.2021.00327. Published by IEEE Xplore: 2022
9. Xin Yang, Ning Zhang, and Donglin Wang. "Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning." 11th International Conference on Computer Science and Information Technology - CCSIT 2021. Volume 11, No. 07, pp. 171-184, May 29-30, 2021, Vancouver, Canada.
10. Donglin Wang, Honglan Xu, and Qiang Wu. "Averaging versus voting: A comparative study of strategies for distributed classification."  Mathematical Foundations of Computing 3.3 (2020): 185.
11. Yuan, Joshua S., Donglin Wang, and C. Neal Stewart Jr. ''Statistical methods for efficiency adjusted real‐time PCR quantification". Vol. 3. No. 1. Weinheim: WILEY‐VCH Verlag, 2008.

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