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Principal Investigator
DR. Hsiang-Han Chen (陳翔瀚)
DR. Hsiang-Han Chen (陳翔瀚)
Hsiang-Han Chen (陳翔瀚) is currently serving as an assistant professor in the Department of Computer Science and Information Engineering (CSIE) at National Taiwan Normal University (NTNU). His primary research areas encompass machine learning, data mining, and biomedical informatics.
Dr. Chen obtained his Ph.D. in Bioinformatics and Computational Biology from the University of Minnesota in 2021. Prior to that, he completed his M.S. in Biomechatronics Engineering at National Taiwan University in 2011 and earned a B.S. in Mathematics from National Central University in 2009.
For a comprehensive overview of Dr. Chen's academic and professional background, kindly refer to his CV and Google Scholar profile.
Contact: chenh2@ntnu.edu.tw
Graduate Students
張簡雲翔
朱顯宇
許容珮
蔣喬伊
胡淳然
余柔慧
柯哲彬
周煜崧
Co-advised Students (NTU BEBI)
李莛蓉
溫宗峻
Undergraduate Students (專題生)
溫博舟、郭秩愷 (115學年度)
張呈義、許芷綺、黃寶儀 - 基於腦波訊號之腦部疾病檢測與跨疾病特徵轉移分析 (114學年度)
陳威宇、陳靖涵、林承宥 - Performance Improvement of EEG-Based BCI Classification via Lightweight Attention Model (114 學年度)
許容珮 - Dynamic attention state modeling with convolutional VAE and GPT (114學年度 - 國科會大專生計畫通過)
傅靖嘉、江卉柔、林柏宏 - EEG訊號降躁方法研究：對下游任務表現之影響與分析 (113學年度 - 傑出專題獎, 2025智慧運算論壇最佳論文佳作獎)
林珈荷、王芮嘉、黃佩珊 - 基於深度學習的EEG通道挑選與癲癇發作預測 (113學年度 - 專題佳作獎)
李詳弘、張皓鈞、李紀為 - 深度學習在大腦腫瘤MRI影像辨識中的應用 (112學年度 - 傑出專題獎)
吳旭峰、張鐙友、江皓宇、蔡松豪 - MRI影像模型及研究 (112學年度 - 專題佳作獎)
蕭文政 - 腦部腫瘤MRI 影像分類模型建立 (111學年度)
Lab Alumni
吳冠宏 (2024.09-2026.08, NTU BEBI共指) - 碩論題目：基於含梯度懲罰之 Wasserstein 對抗式領域適應跨資料庫心房顫動心電圖分類 (Wasserstein-Based Adversarial Domain Adaptation with Gradient Penalty for Cross-Database Atrial Fibrillation Classification from ECG)
陳翔宥 (2024.09-2026.08) - 碩論題目：基於自編碼器之腦網路連結表徵於神經功能受損患者臨床預後預測之研究 (Autoencoder-based Brain Connectivity Representation for Clinical Outcome Prediction in Neurologically Impaired Patients)
陳昱嘉 (2024.09-2026.08) - 碩論題目：基於通道級多模態訊號表徵之Vision-Language BERT 腦電圖雜訊辨識框架 (Channel-Wise Vision-Language BERT Framework for EEG Artifact Detection Using Multimodal Signal Representations)
李承彧 (2024.09-2026.08) - 碩論題目：基於對比學習之單細胞序列資料資料整合方法 (Contrastive Learning-based Method for Single-Cell Sequencing Data Integration)
劉子豪 (2023.09-2026.02, NTU BEBI共指) - 碩論題目：針對新興流行病的雙路徑肺部超音波分析：基於FocalNet-AE的無監督異常偵測與少樣本分類(Dual-Pipeline Lung Ultrasound Analysis for Emerging Pandemics: Unsupervised Anomaly Detection and Few-Shot Classification via FocalNet-Autoencoder)
胡榮澤 (2023.09-2025.08, NTU BEBI共指) - 碩論題目：利用注意力機制的深度學習方法進行多模態泛癌存活分析 (Deep Learning-Based Multimodal Pan-cancer Survival Analysis Using Attention Mechanisms)
陳炫甫 (2023.09-2025.08) - 碩論題目：Transformer 引導之 CNN 架構應用於腦電圖雜訊與癲癇事件檢測 (A Transformer-guided CNN Architecture for EEG Artifact and Seizure Detection)
陳柏瑄 (2023.09-2025.08) - 碩論題目：基於小型語言模型之腦電圖雜訊分類系統之開發 (Development of an EEG Noise Classification System Based on a Small Encoder-only Language Model)
莊聰賢 (2023.02-2025.02, NTU BEBI共指) - 碩論題目：基於自注意力圖神經網路與輕型梯度提升機的單細胞RNA定序細胞類型註釋之整合框架開發 (LightGBM-GAT: An Integrative Framework for Single-Cell RNA-Seq Annotation Tasks )
田庚昀 (2023.02-2025.02, NTU BEBI共指) - 碩論題目：基於整合式深度學習框架於大腸直腸癌病理切片影像預測生物標記 (An Integrated Deep Learning Framework for Biomarker Prediction from Histopathological Images in Colorectal Cancer)
陳昱豪 (2023.02-2025.02) - 碩論題目：基於卷積自編碼器的非監督式腦電圖特徵學習應用於癲癇發作預測 (Unsupervised EEG feature learning for seizure prediction based on convolutional autoencoder )
何其恩 (2023.02-2024-07, NTNU ES共指) - 碩論題目：利用環境資料預測地表位移及坡地災害事件 (Prediction of surface displacement and slopeland disaster using meteorological data)
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