Natural Language Processing (NLP) and Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.In the modern era of data-driven decision making and the digital future, while the society is facing various challenges in digital finance, we will provide thought leadership through an integrated approach to education, research, and business incubation.

NUS Asian Institute of Digital Finance

Bridge+

<h1>Translational Research Workshop</h1><h3><strong>Natural Language Processing (NLP) and Digital Finance</strong></h3><h3><em>Harness the potential of Natural Language Processing (NLP) for digital finance</em></h3><p>Aimed at industry practitioners, advanced graduate students, and academic researchers, the Translational Research Workshop series includes lectures and discussions of cutting–edge research delivered to the audience in a user-friendly manner with a focus on digital finance applications. The domain experts from academia will share their expertise on the hottest topics.</p><p>This programme will empower you with the skills and confidence to exploit opportunities in digital finance using Natural Language Processing (NLP). Lectures and discussions by leading scholars in the field will enable you to gain insights into the foundations as well as the various applications of Natural Language Processing (NLP) in digital finance.</p>

<h2>Core Focus</h2><p>Fundamentals, Challenges, and New Directions of Natural Language Processing (NLP);</p><p>Real–World Applications of Natural Language Processing (NLP) in Digital Finance</p>

<h2>Event Details</h2><p><strong>Venue:</strong> Bridge+, 79 Robinson Road  </p><p><strong>Date:</strong> 18–19 Feb 2021, Thursday–Friday </p><p><strong>Time:</strong> 9:00am to 6:30pm (SGT, GMT +8)</p><p><strong>Registration fee (for in-person attendance):</strong> SGD50 (refreshments and lunch included) </p><p><strong>Registration fee (for online attendance):</strong> free (refreshments and lunch not included) </p><p><em>Participants are strongly advised to register early as limited spaces are available for both in-person and online attendance.</em></p>

<h2>Professors</h2><p><strong>Jin-Chuan Duan</strong> is the Jardine Cycle &amp; Carriage Professor of Finance and the Executive Director of the Asian Institute of Digital Finance at the National University of Singapore (NUS). Prof Duan received a PhD in finance from the University of Wisconsin-Madison, and is an academician of Academia Sinica, a fellow of the Society for Financial Econometrics, and an advisory board member of the International Association of Credit Portfolio Managers. Prior to joining NUS, he held the Manulife Chair in Financial Services at Rotman School of Management, University of Toronto. 
</p><p>Being a leading expert and enthusiast on credit risk modeling, Prof Duan pioneered the Credit Research Initiative (CRI) in 2009 while he was the director of the Risk Management Institute, and has been leading the CRI team since its inception. CRI is a "public good" endeavor providing freely accessible, daily updated default probabilities on roughly 80,000 exchange-listed firms in 133 economies globally. In 2017, he co-founded CriAT, a FinTech company specializing in deep credit analytical solutions for financial institutions, and serves as its non-executive chairman.
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<p><strong>Huang Ke-Wei</strong> Wei is an Associate Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS). Dr. Huang joined NUS in July 2007. He received his Ph.D. (2007), M.Phil. (2005), and M.Sc. (2002) degrees in Information Systems from the Stern School of Business at New York University, and his M.B.A. in Finance (1997) and B.Sc. in Electrical Engineering (1995) from National Taiwan University.
</p><p>Dr. Huang's research interests are in machine learning for social science research methods, data mining for financial applications, and AI entrepreneurships. Currently, he focuses on various topics of using unstructured data in data analytics for finance and accounting applications.
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<p><strong>Soujanya Poria </strong>is an Assistant Professor at Singapore University of Technology and Design. He is also part of the Institute of High-Performance Computing (IHPC), ASTAR as a senior scientist. Before joining SUTD, Dr. Poria worked at NTU where he was awarded the prestigious NTU presidential postdoctoral fellowship. His main areas of research interest are NLP and sentiment analysis. You can find more details at <strong> </strong><a href="https://sporia.info/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sporia.info/</a>.</p><p>He works in DeCLaRe Lab where they focus on challenging NLP problems, such as dialogue comprehension and generation, commonsense reasoning, multimodal understanding, and more. You can find more details at  <a href="https://declare-lab.net/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://declare-lab.net/</a>. </p>

<aside>For more information on all our workshops, training programmes, seminars, and other events, please visit <a href="https://www.aidf.nus.edu.sg" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Asian Institute of Digital Finance</a> . </aside><aside>For enquiries, please contact us at aidf@nus.edu.sg </aside><aside>Copyright © Asian Institute of Digital Finance </aside>

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