People

Dr Jingjing Zhang

Lecturer
Department of Mathematical Sciences
Dr Jingjing Zhang

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

  • PhD Queen's University Belfast, (2012)

Appointments

University of Essex

  • Lecturer in Data Science and Statistics, University of Essex (15/9/2021 - present)

Other academic

  • Lecturer in Data Science and Statistics, University of Essex (15/9/2021 - present)

Research and professional activities

Research interests

Data Science

Open to supervise

Machine Learning

Open to supervise

Statistics

Open to supervise

Causal Inference

Open to supervise

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

  • Databases and data processing with SQL (MA332)

  • Modelling experimental and observational data (MA335)

Publications

Journal articles (8)

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

Contact

j.zhang@essex.ac.uk
+44 (0) 1206 876232

Location:

2.410, Colchester Campus

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