Dr Leishi Zhang is Senior Lecturer of Data Intensive Systems at Middlesex University, London. Before joining Middlesex, she was a post-doc research scientist at Chair of Data Analysis and Visualization , University of Konstanz, Germany (2010-2013), working with Professor Daniel Keim and his group on a number of visual analytics projects . She was also a post-doc at the Computing Laboratory, University of Kent, UK (2007-2010) working with Dr. Peter Rodgers on the EPSRC funded project Visualization with Euler Diagrams .
Dr Zhang received her Ph.D. from Brunel University, UK, under the supervision of Professor Xiaohui Liu. The title of her PhD thesis is Interactive Visualization for the Dynamic Modelling of Time Series Gene Expression Data.
Chinese (native), English, German (basic)
Most recently involved in the teaching of the following modules:
Most recently involved in the supervision of the following modules:
A major theme Dr. Zhang's research is to develop data analysis and visualization techniques for extracting and visualizing patterns and relations in large complex data. There are three main strands to Dr. Zhang’s research: visual analytics on different application data, visualizing complex set relations and interactive visual projection techniques for analyzing patterns in high-dimensional data.
Hepenstal, Sam and Wong, B. L. William and Zhang, Leishi and Kodagoda, Neesha (2019) How analysts think: a preliminary study of human needs and demands for AI-based conversational agents. Proceedings of the Human Factors and Ergonomics Society Annual Meeting , 63 (1). pp. 178-182. ISSN 2169-5067
Hepenstal, Sam and Kodagoda, Neesha and Zhang, Leishi and Paudyal, Pragya and Wong, B. L. William (2019) Algorithmic transparency of conversational agents. In: IUI 2019 Workshop on Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies, 17-20 Mar 2019, Los Angeles, CA, USA.
Jentner, Wolfgang and Sacha, Dominik and Stoffel, Florian and Ellis, Geoffrey and Zhang, Leishi and Keim, Daniel A. (2018) Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. The Visual Computer , 34 (9). pp. 1225-1241. ISSN 0178-2789
Alsufiani, Kholod and Attfield, Simon and Zhang, Leishi (2018) Towards an instrument for measuring sensemaking and an assessment of its theoretical features. In: Fourth International Conference on Emerging Research Paradigms in Business and Social Sciences (ERPBSS-2018), 16-18 Jan 2018, Dubai.
Sacha, Dominik and Sedlmair, Michael and Zhang, Leishi and Lee, John A. and Peltonen, Jaakko and Weiskopf, Daniel and North, Stephen C. and Keim, Daniel A. (2017) What you see is what you can change: human-centred machine learning by interactive visualization. Neurocomputing , 268 . pp. 164-175. ISSN 0925-2312
Dr Zhang is the PC member of a number of conferences and workshops, most recent ones including: IS&T VDA'17, IDA'16, CGVC'16, SKG’16