Statistical and Machine Learning, Bayesian Statistics, Wearables Data Analysis, Statistical Genetics, Biostatistics.
機器學習應用於臺灣身心共病、多重用藥、高需求、高成本病人 (NHRI, Co-Investigator), Jan., 2025-Dec., 2028.
Apply Machine Learning and Functional Data Analysis Methods to Identify and Cluster Signal Data from Wearable Devices and Define Digital Biomarkers for Health-related Research (National Science and Technology Council), Aug., 2024-Jul., 2025.
數位生物標記的建構、特徵擷取與分析：身體活動數據研究方法之建立 與評估 (National Science and Technology Council, Co-Investigator), Aug., 2024-Jul., 2027.
使用臺大醫院暨各分院到院前心跳停止族群資料開發與驗證本國預後預測模型. (National Science and Technology Council, Co-Investigator), Aug., 2024-Jul., 2027.
Development and Establishment of Risk Prediction Models: Take Caregiver Burden as An Example (National Taiwan University), Aug., 2023-Jul., 2024.
以串接式羅吉斯迴歸建立到院前心跳停止病人分段預後模型 (National Science and Technology Council, Co-Investigator), Sep., 2023 - Jul., 2024.
Establishing Stroke-Predicting Risk Scoring Algorithm in Lung Cancer Patients with Atrial Fibrillation (National Taiwan University Hospital, Co-Investigator), Jan., 2023-Dec., 2023.
Signal Preprocessing and Recognition Model Development for Wrist-Wearable Devices (National Science and Technology Council), Aug. 2022-Jul. 2023.
新冠肺炎下長期照顧服務管制對於使用者及家庭照顧者之影響：運用多元觀點剖析 (National Science and Technology Council, Co-Investigator), Aug. 2022-Jul. 2024.
當照顧變為「殺害」：脆弱照顧者的困境與社會對話歷程分析 (National Science and Technology Council, Co-Investigator), Aug. 2022-Jul. 2024.
Improve the Achievement of Abstract Concept for Students without Mathematics or Statistics Background through Experiential Learning and Problem-Based Learning Strategies -- Utilize Computer Simulation and Data Visualization to Learn Statistical Inference (Ministry of Education), Aug. 2021-Jul. 2022.
Bayesian Multi-Label Classification Model Building and Its Applications on Document Classification (Ministry of Science and Technology), Aug. 2021-Oct. 2022.
Bayesian Model for Information Integration, Selection and Classification based on Large-scale Text Data and Its Application on Qualitative Research (Ministry of Science and Technology), Aug. 2019-Oct. 2021.
照顧者的求救訊號?照顧悲劇的建制民族誌分析 (Ministry of Science and Technology, Co-Investigator), Aug., 2019-Jul., 2022.
Variable selection and active learning algorithm for high dimensional imbalanced data (Ministry of Science and Technology), Aug. 2018-Oct. 2019.
Develop an active learning algorithm based on LogitBoost and its application (Ministry of Science and Technology), Nov. 2016-Oct. 2018.
台灣老人生命歷程之探討：不同世代、省籍與性別之弱勢累積現象與軌跡 (Ministry of Science and Technology, Co-Investigator), Aug., 2015-Jul., 2018.
Apr. 2025, Geng-Yu Li, Handling Variability in Wearable Device Data via Functional Data Analysis.
Feb. 2024, Kuan-Chen Chin, Analysis of Cross-district Dispatch in Emergency Medical Dispatch. (Co-advisor: Matthew Huei-Ming Ma).
Jun. 2023, Pei-Wen Chi, Risk Factors of Prolonged Length of Stay in Emergency Department after Triaged. (Co-advisor: Yu-Kang Tu).
Sep. 2022, Hsin-Min Lin, The Design and Exploration of Chatbot Using Semantic Feature Extraction. (Co-advisor: Chih-Hsiao Tsai).
Sep. 2022, Yun-Chu Wang, Association between microRNAs Expression Levels and Symptom Improvement after 6 Months of Treatment in First-episode Psychosis (Co-advisor: Wei J. Chen)
Jul. 2022, Ya-Ting Liang, Feature Selection with Fast Fourier Transformation of Wearable Device Data. (Co-advisor: Chuhsing K. Hsiao).
Oct. 2021, Teng Chang, A Study of Continuous Hand Gesture Recognition by Applying Artificial Neural Network. (Co-advisor: Chih-Hsiao Tsai).
Aug. 2021, Joyce K. Juang, Ensemble Typhoon Precipitation Forecasting with Neural Network Post-Processing. (Co-advisor: Chuhsing K. Hsiao).
Jun. 2021, Yi-Pei Tsai, The Effect of Integrating Experiential Learning Theory and Interactive Response System Teaching Strategy on the Learning of Artificial Intelligence Concepts in Elementary Schools. (Co-advisor: Jung-Chuan Yen).
Jun. 2021, Meng-Yun Chiang, The Influences of Mathematics Reading Comprehension Teaching Combined with REAP Strategies on the Students’ Learning Achievement and Learning Attitudes of Elementary School. (Co-advisor: Jung-Chuan Yen).
Jun. 2020, Ching-Yun Chang, Explore the Effects on Survival Time for Long-Term Care Institutions.
Jun. 2019, Wei-Hsiang Lin, Build Imbalanced Classifier via Kernel Trick and Evaluate its Effect.
Jun. 2019, Chun-Yi Yeh, Develop a Risk Prediction Model for Depression based on Text/Documents Mining Techniques.
Jun. 2018, Zhe-Bin Zhang, An AUC-based Active Learning Algorithm via LogitBoost for Binary Classification.
Jun. 2017, Yun-Chen Yu, Variable Selection for Imbalanced Learning from High-Dimensional Datasets.