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20032023

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Last updated 10th March 2023

Biography

Professor Joan Lu is in the Department of Computer Science and is the research group leader of Information and System Engineering (ISE) in the Centre of High Intelligent Computing (CHIC), having previously been team leader in the IT department of Charlesworth Group publishing company. She successfully led and completed two research projects in the area of XML database systems and document processing in collaboration with Beijing University. Both systems were deployed as part of company commercial productions.

Professor Lu has published 11 academic books and more than 200 peer reviewed academic papers. Her research publications have 35,606 reads and 920 citations by international colleagues, according to incomplete statistics from the researchgate, Scopus and Google Scholar.

Professor Lu has acted as the founder and a program chair for the International XML Technology Workshop for 11 years and serves as Chair of various international conferences. She is the founder and Editor in Chief of International Journal of Information Retrieval Research and serves as a BCS examiner of Database and Advanced Database Management Systems, and is an FHEA. She has been the UOH principle investigator for four recent EU interdisciplinary (computer science and psychology) projects: Edumecca (student responses system) (143545-LLP-NO-KA3-KA3MP), DO-IT (multilingual student response system) used by more than 15 EU countries (2009-1-NO1-LEO05-01046), and DONE-IT (mobile exam system) (511485-LLP-1-2010-NO-KA3-KA3MP), HRLAW2016 - 3090 / 001 - 001.

Research Expertise and Interests

Her extensive research covers XML technology, data mining, information retrieval/extraction and visualization, mobile computing and distributed system, such as cloud computing, technology enhanced learning. She was an invited speaker for XML World, an industrial event to present XML and ontology in science and technology in USA, 2003. Her paper (Lu, 2004) was one of the top 6 accessed articles announced by Notable titles in Software Engineering 2006, World Scientific Publisher. The satellite model presented in the paper further extended the classification theory for multidisciplinary application in information retrieval and extraction. tries (2009-1-NO1-LEO05-01046), and DONE-IT (mobile exam system) (511485-LLP-1-2010-NO-KA3-KA3MP), HRLAW2016 - 3090 / 001 - 001.

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 1 - No Poverty
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions

External positions

Advisor, American Research Foundation

6 Apr 2020 → …

Research Expertise and Interests

  • XML Technology
  • Data Mining
  • Information Retrieval
  • Mobile Computing
  • Distributed System
  • Cloud Computing
  • Technology Enhanced Learning
  • Machine Learning

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