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Mr PIN NI
2 Floor
90 Tottenham Ct Rd
London
UK
W1T 4TJ
Appointment
- Student
- Dept of Civil, Environ &Geomatic Eng
- Faculty of Engineering Science
Biography
Pin Ni is a PhD candidate in Financial AI at the Institute of Finance & Technology (administratively affiliated with CEGE Dept.), University College London, UK. He holds patents in AI & Big Data and has published related papers in prestigious journals and conferences as the first author with hundreds of citations (ASOC, NCA, ISF, TOIT, DSS, EXSY, IEEE BigData, ICAIF, etc.). He is an invited reviewer and program committee in AI, NLP, Cross-domain Computing, and other reputed venues in CS (e.g. ACL, EMNLP, ACM TIST, GSIS). He holds professional membership in majorr CS & AI associations, including IEEE, ACM, ACL & CCF. He has received research funding from the Ministry of Sci & Tech (MOST, Taiwan), the University of Auckland (UoA, NZ), Xi'an Jiaotong-Liverpool University (XJTLU, China), etc. He co-founded and led the Research Lab for Knowledge and Wisdom (KnoWis Lab), XJTLU since 2019, and accomplished industrial R&D on Cognitive Intelligence Technologies in Digital Healthcare, Crime Investigation, Policy Analysis, etc. He has also worked in e-Healthcare research at the Dept. of Computer Science, University of Auckland, New Zealand. Now he is also the main member of the Artificial Intelligence Risk Lab (AIRiskLab), UCL. In addition, he has worked for well-known IT and communication companies such as Microsoft, China Telecom, PatSnap, and Ruijie.
Research Themes
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Financial AI (FinAI/FinTech), Financial Big Data, Knowledge Graph (KG), Deep Learning (DL), Natural Language Processing (NLP), Medical Informatics (MedInfo), Financial Quantum Computing, etc.
Teaching Summary
The modules he has been involved in teaching at UCL include the following:
- IFTE0002 Finance and Artificial Intelligence (2021/22-now);
- IFTE0004/CEGE0070 Financial Analytics and Machine Learning (2021/22-now);
- CEGE0117 (now IFTE0017) Data Analytics and Machine Learning (2021/22).
Before that, he was involved in the development, teaching and supervision of 7 computer science modules for Xi'an Jiaotong-Liverpool University (XJTLU) and the University of Liverpool (UoL) undergraduate and postgraduate programmes, including:
- Algorithmic Foundations and Problem-Solving (2018/19, 2019/20);
- Data Structures (2018/19);
- Introduction to Databases (2019/20);
- Operating Systems Concepts (2019/20);
- Introduction to Networking (2019/20);
- Big Data Analytics (2019/20);
- Research Methods (2019/20).
