Intelligent Financial Innovation Technology Lab (IFIT Lab), NTPU

Bridging artificial intelligence, financial technology, and sustainability for a better future

Est. 2021 | Principal Investigator: Prof. Min-Yuh Day, Ph.D.

Explore Our Research

About IFIT Lab

IFIT Lab

The Intelligent Financial Innovation Technology (IFIT) Laboratory at National Taipei University is a cutting-edge research lab dedicated to exploring the intersection of artificial intelligence, financial technology, and environmental, social, and governance (ESG) principles.

Our mission is to develop innovative technological solutions for the financial sector that are not only efficient and effective but also sustainable and responsible. We aim to bridge the gap between academic research and industry applications, creating real-world impact through our work.

Founded in 2021 by Professor Min-Yuh Day, our lab brings together a diverse team of researchers, professors, and students working on various AI and FinTech projects with a particular focus on ESG data analytics, generative AI for sustainability reporting, and green financial technology innovations.

The lab operates under the Graduate Institute of Information Management (IM), National Taipei University (NTPU) and Fintech and Green Finance Center (FGFC), collaborating with industry partners and government agencies to advance sustainable finance through technological innovation.

Research Areas

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Artificial Intelligence

Developing AI solutions, including generative AI, deep reinforcement learning, and large language models for financial applications and ESG data analytics.

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ESG and Green Financial Technology

Creating frameworks and innovative tools for ESG reporting, analysis, and sustainable finance with a focus on carbon market sentiment index and green finance data analytics.

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Big Data Analytics

Applying big data techniques for financial time series analysis, trading strategies optimization, and visualization of financial market data with heatmap approaches.

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Dialogue Systems

Building AI-powered conversational systems, including multimodal cross-lingual task-oriented dialogue systems for inclusive financial communication support.

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Trading Strategies

Researching algorithmic trading, technical analysis, and portfolio optimization using AI and deep reinforcement learning with applications to cryptocurrencies and traditional markets.

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Knowledge Graphs

Developing financial knowledge graphs for cryptocurrency anti-money laundering and sustainable finance applications using text mining and information extraction.

Principal Investigator (PI)

Professor Min-Yuh Day

Prof. Min-Yuh Day

Lab Director

Principal Investigator (PI), Intelligent Financial Innovation Technology Lab (IFIT Lab)

Professor, Graduate Institute of Information Management, National Taipei University

Director, Fintech and Green Finance Center (FGFC)

Division Director, Sustainable Development, Sustainability Office

Our Team

Research member

Wen-Hsin Hsiao

Researcher

Advanced RAG-Enhanced Generative AI Dialogue System for Enterprise Knowledge Sharing

Research member

Bor-Jen Chen

Researcher

Generative AI for ESG Report Generation

Research member

Cheng-Yun Wu

Researcher

Multimodal Dialogue System for Chinese Taipei University Sports Federation

Research member

Jun-Yu Wu

Researcher

Generative AI in ESG Reporting

Research member

Hsin-Ting LU

Researcher

Agentic AI in Smart City

Research member

Ting-Chi Wang

Researcher

Developing Generative AI-driven ESG Report Generation System

Research member

Yu-Chun Cheng

Researcher

Developing Generative AI-driven ESG Report Generation System

Research member

Wen-Ze Chen

Researcher

Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs

Research member

Najeeb Ullah

Researcher

Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs

Research member

Do Gia Thuan (Nathan)

Researcher

Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support

Alumni

Research member

Yu-Han Kao

2024; UK

Enhancing Multilingual ESG Impact Duration Classification with Transformer Language Models and Data Augmentation Strategies

Research member

Hsiao-Chuan Liu

Master 2024, NTPU

Multi-modality Human Action Recognition with 3D Skeleton and RGB in Medication Adherence

Research member

Chia-Tung Tsai

Master 2024, NTPU

CMSI: Carbon Market Sentiment Index with AI Text Analytics

Research member

Wen-Hsuan Liao

Master 2024, NTPU

CAITOD: Commerce AI Multimodal Cross-Language Task-Oriented Dialogue System

Research member

Vidhya Nataraj

Master 2024, NTPU

Automatic Detection and Classification of Multiclass Skin Lesions using Deep Learning Technique

Research member

Lyca Santos De leon

Master 2024, NTPU

An Econometric Analysis of GHG Emissions From Various Agricultural Factors in the Philippines

Research member

Sieki Tefafu

Master 2023, NTPU

A Multi-criteria Decision Analysis of Cloud Business Intelligence Adoption for Sme Performance Optimization in Papua New Guinea

Research member

Jesus-Benedicto Chicas

Master 2023, NTPU

Computer Vision in Invoice for Data Extraction for Expense Classification in Accounting

Research member

Der-Joung Wang

Master 2023, NTPU

Product Name Classification Model for E-Commerce Focused on Multilingual Analysis with Artificial Intelligence Approach

Research member

Ting-Yun Hsiao

Master 2023, NTPU

FTPKG: FinTech Knowledge Graph from Patent Textual Analytics

Research member

Pei-Tz Chiu

Master 2023, NTPU

CAMLKG: Knowledge Graph of Cryptocurrency Anti-Money Laundering with Few-Shot Learning Model from Judicial Data in FinTech

Research member

Yung-Wei Teng

Master 2023, NTPU

KamKG: Financial Knowledge Graph from Key Audit Matters

Research member

Fan-Ming Sun

Master 2022, NTPU

AI for Predicting Stock Price and Portfolio Management

Research member

Chung-Chun Hsiao

Master 2022, NTPU

The Application of Artificial Intelligence for Cryptocurrency Price Prediction

Research member

Ching-Ying Yang

Master 2021, NTPU

Deep Reinforcement Learning in Portfolio Management for Trading Strategies

Research member

Yi-Hsien Lin

Master 2021, NTPU

Deep Learning with Temporal Convolution Network for Financial Market Predictions

Research member

Ruo-Qing Zhou

Master 2021, NTPU

International Stock Index Analysis and Prediction Using Deep Learning During the COVID-19 Pandemic

Research member

Zesheng Wang

Master 2021, NTPU

Applying Deep Learning Techniques to Extract Relations from Chinese Content

Recent Publications

Portfolio Dynamic Trading Strategies Using Deep Reinforcement Learning
Day, M.Y., Yang, C.Y., & Ni, Y. (2024)
Soft Computing, Volume 28, August 2024, pp. 8715–8730
A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag
Kao, Y.S., Day, M.Y., & Chou, K.H. (2024)
The North American Journal of Economics and Finance, Volume 72, May 2024, 102159
Establishing a novel deep learning model for detecting peri-implantitis
Lee, W.F., Day, M.Y., Fang, C.Y., Nataraj, V., Wen, S.C., Chang, W.J., & Teng, N.C. (2024)
Journal of Dental Sciences, Volume 19, Issue 2, April 2024, pp. 1165-1173
Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes
Day, M.Y. & Ni, Y. (2023)
International Review of Financial Analysis, Volume 90, November 2023, 102856
Do Bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?
Chou, K.H., Day, M.Y., & Chiu, C.L. (2023)
International Review of Economics and Finance, Volume 88, November 2023, pp. 365-385
Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules
Day, M.Y., Ni, Y., Hsu, C., & Huang, P. (2023)
Heliyon, 21 October 2023, e21376
Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?
Day, M.Y. & Ni, Y. (2023)
Energy, Volume 272, 1 June 2023, 127113

Research Projects

Digital Support, Unimpeded Communication: The Development, Support and Promotion of AI-assisted Communication Assistive Devices for Speech Impairment
Principal Investigator: Min-Yuh Day
NSTC 113-2425-H-305-003-, 2023-2026
Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support
Principal Investigator: Min-Yuh Day
NTPU 114-NTPU_ORDA-F-004, 2023-2025
Metaverse AI Multimodal Cross-Language Task-Oriented Dialogue System
Principal Investigator: Min-Yuh Day
ATEC Group, Fintech and Green Finance Center, 2023-2026
Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs
Principal Investigator: Min-Yuh Day
University System of Taipei Joint Research Program (NTPU, TMU), USTP-NTPU-TMU-114-02, 2025/01/01~2025/12/31
Carbon Market Sentiment Index with AI Text Analytics
Principal Investigator: Min-Yuh Day
NTPU 113-NTPU_ORDA-F-003, 2023-2024
Generative AI-Driven ESG Report Generation Technology
Principal Investigator: Min-Yuh Day
Industrial Technology Research Institute (ITRI), 2024

Contact Us

📍 Address

IFIT Laboratory

Graduate Institute of Information Management

National Taipei University

151, University Rd., San Shia District

New Taipei City, 23741 Taiwan

📧 Contact Info

Email: [email protected]

Phone: +886-2-8674-1111 ext. 66873

IFIT NTPU: https://ifitntpu.github.io/

AI FIT ESG: https://www.aifitesg.org/

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