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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):
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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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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HRLAW: European Human Rights Law for Universities of Ukraine and Moldova
15/10/16 → 14/10/19
Project: Research
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A hybrid machine learning feature selection model—HMLFSM to enhance gene classification applied to multiple colon cancers dataset
Al-Rajab, M., Lu, J., Xu, Q., Kentour, M., Sawsaa, A. F., Shweikeh, E., Joy, M. & Arasaradnam, R., 2 Nov 2023, In: PLoS One. 18, 11, p. e0286791 27 p., e0286791.Research output: Contribution to journal › Article › peer-review
Open Access -
A Study and Design of Flexible Planar Antenna with Different Substrates for Long-Range Applications
Sneha, Malik, P. K. & Lu, J., 2 Jun 2023, Micro-Electronics and Telecommunication Engineering : Proceedings of 6th ICMETE 2022. Sharma, D. K., Peng, S-L., Sharma, R. & Jeon, G. (eds.). 1st ed. Springer Singapore, Vol. LNNS 617. p. 447-454 8 p. (Lecture Notes in Networks and Systems; vol. 617 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Computational Intelligence in Analytics and Information Systems: 2-volume set
Dhaliwal, P. (ed.), Kaur, M. (ed.), Thakur, H. K. (ed.), Arya, R. K. (ed.) & Lu, J., 28 Sep 2023, 1st ed. CRC Press / Taylor Francis. 990 p.Research output: Book/Report › Book › peer-review
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Machine Learning and Mechanics Based Soft Computing Applications
Nguyen, T. D. L. (ed.) & Lu, J. (ed.), 2 Mar 2023, 1st ed. Singapore: Springer Singapore. 327 p. (Studies in Computational Intelligence; vol. 1068)Research output: Book/Report › Book › peer-review
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The Development and Application of Optimisation Technique for the Calibrating of Creep Cavitation Model Based on Cavity Histogram
Xu, Q., Rafiq, B., Zheng, X. & Lu, J., 5 Aug 2023, Creep in Structures VI: IUTAM Symposium Proceedings. Altenbach, H. & Naumenko, K. (eds.). 1st ed. Springer, Cham, Vol. STRUCTMAT 194. p. 309-320 12 p. (Advanced Structured Materials; vol. STRUCTMAT 194).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Smart pervasive sustainable technology benefit to society
Joan Lu (Keynote speaker)
28 Oct 2023Activity: Talk or presentation types › Invited talk
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6th International Conference on Information, Networks and Communications
Joan Lu (Chair)
27 Oct 2023Activity: Participating in or organising an event types › Organising a conference, workshop, ...
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Creep damage and creep lifetime prediction: Correlation or causation?
Joan Lu (Speaker), Qiang Xu (Speaker) & Joan Lu (Contributor to Paper or Presentation)
18 Oct 2023Activity: Talk or presentation types › Oral presentation
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Creep lifetime prediction method using the cavitated volume fraction approach
Mbombo Okpa (Speaker), Joan Lu (Contributor to Paper or Presentation) & Qiang Xu (Contributor to Paper or Presentation)
17 Oct 2023Activity: Talk or presentation types › Oral presentation
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Modelling of creep cavitation and rupture
Joan Lu (Keynote speaker) & Qiang Xu (Keynote speaker)
17 Oct 2023Activity: Talk or presentation types › Oral presentation