Luke Chen


  • Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus

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Personal profile


Dr Chen is a Professor of Data Analytics in the School of Computing at Ulster University (UU). He is an international leading researcher in the field of Pervasive Computing and Data Analytics with special emphasis being placed on data-driven user-centred smart systems within smart environments. He is well known, highly recognised, worldwide, for his interdisciplinary research of combining data mining/machine learning algorithms and artificial intelligence techniques to advance the state of the art of data analytics towards cognitive sense-making, and further to human-like intelligence and cognitive systems in the context of smart home based healthcare, healthy aging and independent living. He directs the Context, Intelligence and Interaction Laboratory in DMU, and is co-founder and co-director of the UK-China Gait and Health Innovation Institute, the DMU-USTB Joint Research Laboratory on Smart Healthcare, and the IEEE CIS ”User-centred Smart Systems” Task Force. He is currently coordinating the ACROSSING project, funded by the EU Horizon2020 MSCA ITN programme, which brings together semantics, interpretability, AI algorithms and human-like reasoning – the so-called cognitive analytics, to support smart home based personalised health and care,.

Dr Chen is well published with over 200 books, book chapters, Journals/transactions, and conference and workshop articles in data analysis and intelligent human-machine systems. Two representative papers of his research on semantic data modelling and inference have been Highly Cited with over 500 and 400 citations respectively since published in 2012. He secured significant grants, 17 in total, 12 as PI, to fund his research, and has also funded and supervised 23 PhD students with 14 of them already graduated in the past decade. The funding bodies for his research range from the UK national (HEIF, RS, DEL, EPSRC/TSB) and European (H2020, FP7, AAL JP) research programmes, industry (SAP, IN2, CompuScript), government agencies (InvestNI, InterTradeIreland), to universities (RIF, RCIF), and International collaborators (China, Norway, Korea, Slovenia, Ireland).

Dr Chen has been invited as speaker to give 21 talks, including 5 keynote speeches, 2 tutorials and 14 seminars in prestigious international conferences, industrial research and innovation centres and universities around the world. As a committed professional, he organised over 30 conferences, workshops and forums in the capacity of being 8 General Chairs, 7 TPC Chairs, 8 Workshop Chairs, 2 Forum Chairs and 5 other chairs for conference organising. He serves or served as an editor or guest editor or on the editorial boards, totally 26 editorial roles in IEEE Transactions, edited books, proceedings, special issues by IEEE, ACM, Elsevier, Springer, Emerald, UDPI and Hindawi.

Dr Chen is an IET Fellow, an IEEE senior member, and serve as a member of advisory/steering committee, and a member of TPC committee for many conferences. Recognized as a leader and an expert by the international community, he has been invited to serve as expert referees or specialists for research grant applications and projects in the UK, EU, Netherlands, Chile, Norway and Spain. He has collaborated closely with industry, e.g. SAP, IN2 and Qianhan in China, to conduct research translation and knowledge transfer. His collaboration with Qianhan has led to the creation of a UK-China Gait and Health Innovation Institute which applies deep learning to big gait data analysys to establish quantitative correlations between gait and chronic diseases. He has also established extensive international collaborations with centres of research excellence and companies in around 20 countries, and was invited to serve as guest/visiting professors and research specialists. His research has been reported in a number of news releases and conference interviews.


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