Dr Jingjing Zhang
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Email
j.zhang@essex.ac.uk -
Telephone
+44 (0) 1206 876232
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Location
2.410, Colchester Campus
Profile
Biography
I obtained the BEng, MEng and PhD degrees from Beijing Institute of Technology, Tsinghua University and Queen’s University Belfast, respectively. Before joining University of Essex in 2021, I held several research posts in University of Dundee, Swansea University, Cardiff University and University of East Anglia.
Qualifications
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PhD Queen's University Belfast, (2012)
Appointments
University of Essex
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Lecturer in Data Science and Statistics, University of Essex (15/9/2021 - present)
Other academic
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Lecturer in Data Science and Statistics, University of Essex (15/9/2021 - present)
Research and professional activities
Research interests
Data Science
Machine Learning
Statistics
Causal Inference
Current research
Data Science and Statistics
My research is mainly on developing fundamental methods in data science, statistics, machine learning and causal inference with applications especially in disease diagnosis, treatment and prognosis.
Teaching and supervision
Current teaching responsibilities
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Databases and data processing with SQL (MA332)
Publications
Journal articles (10)
Sauchelli, S., Pickles, T., Voinescu, A., Choi, H., Sherlock, B., Zhang, J., Colyer, S., Grant, S., Sundari, S. and Lasseter, G., (2023). Public attitudes towards the use of novel technologies in their future healthcare: a UK survey. BMC Medical Informatics and Decision Making. 23 (1), 38-
Williams, CF., Hather, C., Conteh, JS., Zhang, J., Popa, RG., Owen, AW., Jonas, CL., Choi, H., Daniel, RM., Lloyd, D., Porch, A. and George, CH., (2023). Non-thermal disruption of β-adrenergic receptor-activated Ca2+ signalling and apoptosis in human ES-derived cardiomyocytes by microwave electric fields at 2.4 GHz. Biochemical and Biophysical Research Communications. 661, 89-98
Daniel, R., Zhang, J. and Farewell, D., (2021). Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets. Biometrical Journal. 63 (3), 528-557
Gadalla, AAH., Friberg, IM., Kift-Morgan, A., Zhang, J., Eberl, M., Topley, N., Weeks, I., Cuff, S., Wootton, M., Gal, M., Parekh, G., Davis, P., Gregory, C., Hood, K., Hughes, K., Butler, C. and Francis, NA., (2019). Identification of clinical and urine biomarkers for uncomplicated urinary tract infection using machine learning algorithms. Scientific Reports. 9 (1), 19694-
Zhang, J., Friberg, IM., Kift-Morgan, A., Parekh, G., Morgan, MP., Liuzzi, AR., Lin, C-Y., Donovan, KL., Colmont, CS., Morgan, PH., Davis, P., Weeks, I., Fraser, DJ., Topley, N. and Eberl, M., (2017). Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections. Kidney International. 92 (1), 179-191
Zhang, J., Zhang, JG., Coats, M., Li, W., Carey, FA. and McKenna, SJ., (2017). Multi-scale analysis of the surface morphology of colorectal polyps from optical tomography. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 5 (5), 318-328
Liuzzi, AR., Kift-Morgan, A., Lopez-Anton, M., Friberg, IM., Zhang, J., Brook, AC., Roberts, GW., Donovan, KL., Colmont, CS., Toleman, MA., Bowen, T., Johnson, DW., Topley, N., Moser, B., Fraser, DJ. and Eberl, M., (2016). Unconventional Human T Cells Accumulate at the Site of Infection in Response to Microbial Ligands and Induce Local Tissue Remodeling. The Journal of Immunology. 197 (6), 2195-2207
Zhao, W., Zhang, J. and Li, K., (2015). An Efficient LS-SVM-Based Method for Fuzzy System Construction. IEEE Transactions on Fuzzy Systems. 23 (3), 627-643
Zhang, J., Li, K., Zhao, W., Fei, M. and Wang, Y., (2014). A Systematic Fire Detection Approach Based on Sparse Least-Squares SVMs. Communications in Computer and Information Science. 462, 351-362
Zhang, J., Niu, Q., Li, K. and Irwin, GW., (2011). Model Selection in SVMs using Differential Evolution. IFAC Proceedings Volumes. 44 (1), 14717-14722
Conferences (4)
Zhang, J., McKenna, S., Zhang, J., Coats, M. and Carey, F., Analysis the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction
Albert, B., Zhang, J., Noyvirt, A., Setchi, R., Sjaaheim, H., Velikova, S. and Strisland, F., (2016). Automatic EEG Processing for the Early Diagnosis of Traumatic Brain Injury
Zhang, J., Li, K., Irwin, GW. and Zhao, W., (2012). A regression approach to LS-SVM and sparse realization based on fast subset selection
Zhang, J. and Li, K., (2012). Heuristic based model selection for a new least-squares SVM solution
