altText copyrightStatement

Xiangyun Lu

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20162023

Research activity per year

Personal profile

Personal profile

Xiangyun, an Assistant Professor with expertise in Computer Science and Accounting, joined IBSS in October 2016. Passionate about providing engaging learning experiences, she has skillfully incorporated modern technologies and innovative methodologies into her lessons. Xiangyun teaches Python-related modules to both undergraduates and postgraduates in IBSS and also provides voluntary Python workshops via the University Library for all students.She has introduced a ChatGPT-based QA robot and an auto-marking robot to enhance student engagement and streamline the marking process. Additionally, she has developed software programs to assist colleagues in administrative tasks, allowing them to focus on delivering high-quality teaching.Xiangyun utilizes the game-based learning platform Kahoot to create a stimulating and interactive learning environment. As a recipient of the Teaching Development Fund (TDF), she is working on integrating Python and Machine Learning into the business curriculum, addressing the digital skills gap, and preparing students for the dynamic job market.Her primary research interests lie in applying AI algorithms, such as machine learning, deep learning, and NLP/Text Mining, to Accounting and Finance research, exploring topics like Fraud Detection, Industry Classification, Analyst Forecasts, and etc.

Research interests

Digital Transfermation

Machine Learning in Accounting

Text Mining in Accounting

Fraud Detection

Educational Research

Experience

Assistant Professor in Accounting, International Business School Suzhou, XJTLU - 2017 to Present

Teaching Fellow in Accounting and Finance, International Business School Suzhou, XJTLU - 2016 to 2017

Research Assistant for UK Mutual Fund Managerial Database Setup, Southampton Business School, University of Southampton - 2015 to 2015

Research Assistant for Data Resources Expenditure Proposal, Southampton Business School, University of Southampton - 2014 to 2014

Part Time Lecturer, University of Southampton,Southampton Business School - 2014 to 2015

Accountant, GE China Co Ltd - 2005 to 2007

Teaching

ACC102 Information System for Accountants

ACC905 Data Analysis with Python

ACC906 Machine Learning and Text Mining with Python

ALA Python Basics

ACF101 Skills for the Professional Accountants

ACF103 Introduction to Financial Accounting

MAN303 Final Year Project

Awards and honours

2023 SuZhou Outstanding Teacher

2023 Jiangsu Province Micro Lecture and Micro Module Competition - Third Prize

AY2022/23 IBSS Award - Teaching Excellence Award - Contribution to the deployment of AI and Digitalization in Education

AY2022/2023 XJTLU Academic Excellence Awards - Teaching Innovation Award

2023 Software Copyrights, Customised Document Generator

2023 Software Copyrights, Customised Email Sender

AY2020-2021 IBSS Awards - Teaching Excellence Award - Teaching Innovation

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

PhD , the University of Southampton - 2017

MPhil , Durham University Business School, Durham University - 2013

MSc in Accounting and Finance , Durham University Business School, Durham University - 2009

BEng in Computer Science, Beijing Forestry University - 2005

Person Types

  • Staff

Fingerprint

Dive into the research topics where Xiangyun Lu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or