環境變遷研究中心

研究興趣

Passionate and self-motivated AI researcher, with strong academic and practical experience in developing predictive models and datadriven applications. Proficient in the end-to-end ML/AI and Data Science project lifecycle, including data collection, preprocessing, feature engineering, model development, hyperparameter tuning, and performance evaluation. Adept at applying data modeling and algorithmic techniques to solve real-world problems with accuracy and efficiency. Eager to contribute innovative ML solutions to impactful projects.

代表著作

Y.-P. Huang, S. Vadloori, E. Y.-C. Kang, and W.-C. Wu, “Computer-aided detection of retinopathy ofprematurity severity assessment via vessel tortuosity measurement in preterm infants' fundus images,” Eye,vol. 38, no. 17, pp.3309-3317, 2024 Dec, https://doi.org/10.1038/s41433-024-03285-w.
Y.-P. Huang and S. Vadloori “Optimizing fish-feeding with FFAUNET segmentation and adaptive fuzzyinference system,” Processes, vol. 12, no. 8, pp.1-16, 2024 July, https://doi.org/10.3390/pr12081580.
S. Vadloori, and Y.-P. Huang, “Fish-feeding optimization based on the feeding intensity on the water surface,”2023 International Automatic Control Conference (CACS 2023).
Y.-P. Huang S. Vadloori, E. Y.-C. Kang, and W.-C. Wu, “Computer-aided detection of retinopathy of prematurity severity in preterm infants via measurement of temporal vessel width and angle,” Frontiers in Pediatrics, vol. 10, no. 792724, pp.1-10, 2022 Jan, https://doi.org/10.3389/fped.2022.792724.
Y.-P. Huang, S. Vadloori, H.-C. Chu, E.Y.-C. Kang, W.-C. Wu, S. Kusaka, and Y. Fukushima, “Deep learning models for automated diagnosis of retinopathy of prematurity in preterm infants,” Electronics, vol. 9, no. 9, pp.1-16, 2020 Sep, doi:10.3390/electronics9091444.
S. Vadloori, Y.-P. Huang, and W.-C. Wu, “Comparison of various data mining classification techniques in the diagnosis of diabetic retinopathy,” Acta Polytechnica Hungarica, vol. 16, no. 9, pp.27-46, 2019 June, doi:10.12700/APH.16.9.2019.9.3.
S. Vadloori, Y.-P. Huang, and T. Lee, “Automatic screening of diabetic retinopathy using different data mining classifier techniques,” 2019 IEEE 23rd Inter. Conf. on Intelligent Engineering Systems (INES), Gödöllő, Hungary, pp.000207-000212, 2019, doi: 10.1109/INES46365.2019.9109441.

研究成果介紹