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 Zhang, Leishi and Kodagoda, Neesha and Wong, B. L. William (2021) Developing conversational agents for use in criminal investigations. ACM Transactions on Interactive Intelligent Systems , 11 (3-4). pp. 1-35. ISSN 2160-6455
Hepenstal, Sam and Zhang, Leishi and Kodagoda, Neesha and Wong, B. L. William (2020) Providing a foundation for interpretable autonomous agents through elicitation and modeling of criminal investigation pathways. Proceedings of the Human Factors and Ergonomics Society Annual Meeting , 64 (1). pp. 239-243. ISSN 2169-5067
Gao, Xiaohong W. and Braden, Barbara and Zhang, Leishi and Taylor, Stephen and Pang, Wei and Petridis, Miltos (2020) Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer. In: 24th UK Symposium on Case-Based Reasoning (UKCBR 2019), 17 Dec 2019, Cambridge, UK.
Hepenstal, Sam and Zhang, Leishi and Kodagoda, Neesha and Wong, B. L. William (2020) Pan: conversational agent for criminal investigations. In: IUI '20: 25th International Conference on Intelligent User Interfaces, 17-20 Mar 2020, Cagliari, Italy.
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
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