Email: thyangza@gs.ncku.edu.tw

Prof. Yang's research addresses topics on Systems and Computational Biology and Bioinformatics, in which researchers develop algorithms and tools based on electrical engineering or computer science techniques to integrate different genome-wide high-throughput data for constructing and analyzing biological systems.

This is now the most popular emerging integrated research domain in biology, electrical engineering, and computer science. Interests include systems and computational biology, bioinformatics, deep learning, deep reinforcement learning, and synthetic biology. Other interests also include computer vision, machine learning, data mining, and big data analysis.

1. Artificial Inteliigence and Deep Learning
2. Biomedical Big Data Analysis and Mining
3. Biomedical Web Software and Database Construction
4. Bioinformatics and Computational Systems Biology

PhD. of Electrical Engineering, National Cheng Kung University, Taiwan

1. Department of BioMedical Engineering, National Cheng Kung University, Taiwan
2. Department of Information Management, National University of Kaohsiung, Taiwan
3. Taiwan Semiconductor Manufacturing Co., Ltd., Taiwan

Research

1. 2023
   112 年度 (研究及學術) 彈性薪資
2. 2022
   111 年度 (研究及學術) 彈性薪資
3. 2021
   110 年度科技部補助大專校院研究獎勵
4. 2020
   Top 5 Best Poster Presentations (InCoB 2020: Y.-H. Yu, J.-X. Xu, C.-F. Liao, and T.-H. Yang*, “Automatic transcriptional factor-gene interaction literature evidence extraction via temporal convolutional neural networks.”)
5. 2020
   Top 5 Best Poster Presentations (InCoB 2020: Y.-C. Lin and T.-H. Yang*, “Novel biological metrics for evaluating the functional significance of RNA secondary structure predictions.)
6. 2020
   109 年度科技部補助大專校院研究獎勵
7. 2014
   Honorary Member of Phi Tau Phi Scholastic Honor Society
8. 2013
   Best Oral Presentation Award @ International Symposium on Evolutionary Genomics and Bioinformatics, Taiwan

Teaching

1. 2022
   National University of Kaohsiung "Outstanding Courses": [1] Deep Neural Network II [2] Deep Neural Network Research
2. 2021
   National University of Kaohsiung "Outstanding Courses": [1] Introduction to Deep Learning, [2] Database Management, [3] Object Oriented Programming I, [4] Deep Neural Network I, [5] Advanced Java Theory and Practice
3. 2020
   National University of Kaohsiung "Outstanding Courses": [1] Application of Deep Learning Techniques to Real World Problems, [2] Application of algorithms and large-scale software design, [3] Introduction to Artificial Intelligence, [4] Advanced Database Management, [5] Object Oriented Programming II
4. 2019
   National University of Kaohsiung "Outstanding Courses": [1] Introduction to Deep Learning, [2] Advanced Database Management

1. 2024 - 2025
   Developing an end-to-end protein degradation rate prediction model to improve protein abundance calculation (敏求智慧運算學院 AI永續發展未來之星計畫 -- 主持人)
2. 2023 - 2024
   開發利用螢光影像與人工智慧偵測B型肝炎病毒嵌入宿主基因體之平台及其臨床應用 Developing a fluorescence imaging- and artificial intelligence-based platform for detecting hepatitis B virus integration into host genomes and potential clinical applications (國立成功大學 永續跨領域整合型計畫 -- 共同主持人)
3. 2023 - 2024
   透過次世代基因定序、深度學習模型與腫瘤異質性分析探討大腸直腸癌帶有DNA複製錯誤修復機制缺陷的先天遺傳變異與免疫治療抗藥性 (成功大學醫學院附設醫院 智慧健康照護跨領域計畫 -- 共同主持人)
4. 2023 - 2025
   建立多細胞生物順式調控模組的功能機制知識庫與分析增強子序列轉錄現象 Constructing a knowledge base for the functions and mechanisms of metazoa cis-regulatory modules and analyzing the roles of enhancer transcription (NSTC)
5. 2022 - 2023
   利用深度學習建構多細胞生物轉錄調控序列之交互作用與目標基因全基因體地圖集 Construction of the interaction and target gene atlas of metazoa transcriptional regulatory sequences using deep learning (NSTC)
6. 2021 - 2022
   電動輔助自行車動力系統開發及雲端服務系統建置 (產學合作計畫 -- 共同主持人)
7. 2021 - 2022
   開發生醫深度增強式學習方法以研究 RNA 結構:預測二級結構、建構構形 群體與探討 RNA-RBP 結合關係 Developing Biomedical Deep Reinforcement Learning Methods for RNA Secondary Structure Prediction, Ensemble Construction, and RNA-RBP Interaction Investigation (MOST)
8. 2021 - 2021
   基於分散式儲存之區塊鏈側鏈開發 (產學合作計畫)
9. 2021 - 2022
   「人才培育」合作研究計畫 (產學合作計畫 -- 共同主持人)
10. 2020 - 2021
    程式設計與人工智慧人才培育之實作強化 (國立高雄大學 109 年高等教育深耕計畫)
11. 2018 - 2021
    發展人工智慧生醫方法以整合多種異質資料來預測研究多細胞生物轉錄調控 之順式調控模組與建立分析全基因體順式調控地圖 Develop AI Biomedical Methods for Integrating Genomic Heterogeneous Data to Computationally Predict and Analyze Cis-regulatory Modules in Metazoa Transcription Regulation (MOST)

Research

1. T.-H. Yang, "Understanding the genome-wide transcription cis-regulation in Drosophila using deep learning," in Academia Sinica, May. 2024. (Invited Speaker)
2. T.-H. Yang, "Annotating the Transcriptional Functions of cis-regulatory Modules," in "多體學及精準醫學聯合會議 MOPM", Nov. 2023. (Invited Speaker)
3. T.-H. Yang, "Constructing BioMedical Databases to Help Disease Biomarker Identification," in "Digital Health: The Future is Now", National Cheng Kung University and Universiti Malaya, Oct. 2022. (Invited Speaker)
4. T.-H. Yang, "建構生醫資料庫 - 以癌症與川崎氏症為例," in 2022生技醫材設計與開發課程 & 次世代醫療器材新創開發戰鬥營, National Cheng Kung University, Jul 2022. (Invited Speaker)
5. T.-H. Yang, "以深度學習辨識基因體中的轉錄順式調控模組," in 2022全人精準健康課程, National Cheng Kung University, Jul 2022. (Invited Speaker)
6. T.-H. Yang, "Identifying piRNA targets on mRNAs in C. elegans using a deep multi-head attention network," in Seminar of Computer-Aided Engineering Group, Civil Engineering, National Taiwan University, May 2021. (Invited Speaker)
7. T.-H. Yang, "Identifying piRNA targets on mRNAs in C. elegans using a deep multi-head attention network," in HGT Bioinformatics Symposium and Workshop, December 2020. (Invited Speaker)

Teaching & Service

1. T.-H. Yang, "模擬面試," in 嘉義高中, April 2024.
2. T.-H. Yang, "模擬面試," in 瑞祥高中, April 2024.
3. T.-H. Yang, "申請入學學習歷程自述講座," in 瑞祥高中, April 2024.
4. T.-H. Yang, "模擬面試," in 嘉義高中, May 2023.
5. T.-H. Yang, "模擬面試," in 瑞祥高中, April 2023.
6. T.-H. Yang, "申請入學學習歷程自述講座," in 瑞祥高中, March 2023.
7. T.-H. Yang, "學習歷程自述講座," in 瑞祥高中, January 2023.
8. T.-H. Yang, "模擬面試," in 中正高中, May 2022.
9. T.-H. Yang, "模擬面試," in 瑞祥高中, May 2022.
10. T.-H. Yang, "模擬面試," in 高師大附中, April 2022.
11. T.-H. Yang, "申請入學學習歷程自述講座," in 瑞祥高中, March 2022.
12. T.-H. Yang, "申請入學模擬面試輔導活動," in 高師大附中, April 2021.
13. T.-H. Yang, "模擬面試," in 中正高中, April 2021.
14. T.-H. Yang, "探索自我：備審資料準備," in 高師大附中, October 2020.

Served as a Reviewer for the following Journals:

1. NAR Genomics and Bioinformatics
2. Computational and Structural Biotechnology Journal
3. Current Bioinformatics
4. Engineering Applications of Artificial Intelligence
5. Briefings in Bioinformatics
6. Journal of Signal Processing Systems
7. Journal of E-Business
8. Journal of Management and Systems
9. Social Network Analysis and Mining

Conference Committee:

1. 2024
   Program Committee @ ICBCB (International Conference on Bioinformatics and Computational Biology), Japan
2. 2023
   Program Committee @ (International Conference on Technologies and Applications of Artificial Intelligence), Taiwan
3. 2022
   Program Committee @ GIW/ISCB Asia (International Conference on Genome Informatics), Taiwan
4. 2022
   Program Committee @ (International Conference on Technologies and Applications of Artificial Intelligence), Taiwan
5. 2022
   Special Session Chair @ MISNC (Multidisciplinary International Social Networks Conference), Japan
6. 2021
   Session Chair (Intelligence system) @ TAAI (International Conference on Technologies and Applications of Artificial Intelligence), Taiwan
7. 2021
   Special Session Chair @ MISNC (Multidisciplinary International Social Networks Conference), Taiwan
8. 2020
   Special Session Chair @ MISNC (Multidisciplinary International Social Networks Conference), Taiwan
9. 2019
   Domestic Program Chair @ TAAI (International Conference on Technologies and Applications of Artificial Intelligence), Taiwan
10. 2019
    Special Session Chair @ MISNC (Multidisciplinary International Social Networks Conference), China
11. 2018
    Local Arrangement Chair @ BESC (International Conference on Behavioral, Economic, and Socio-Cultural Computing), Taiwan