Iffat Gheyas

Lecturer in Big Data Analytics

School of Computing and Digital Technology

Email:: iffat.gheyas@bcu.ac.uk
Phone:: 0121 331 7590

Iffat completed her PhD in Computing Science at the University of Stirling in 2010. Her main research interests lie in Pattern Recognition and Machine Intelligence. She has published in leading journals and conferences. From July 2010 to February 2010, Iffat worked closely with medical practitioners at the University Hospital of Wales (UHW) to develop a classification model for differential diagnosis of allergy by using neural nets.

From March 2011 to July 2014, she completed two research Fellowships: Cloud Stewardship Economics and Security, the first at the University of Aberdeen and the second at Durham University.

Iffat is the co-investigator for the SESAR-SJU-INNOVATE consortium that works with the SESAR joint undertaking (collaboration between the EU, Boeing, Airbus and others). The INNOVATE consortium is an associate member of the project (other partners in this consortium are Edinburgh and the University of Trento, Italy).

Iffat started at Birmingham City University in August 2014.

Current Activity

Areas of Expertise

Qualifications

Memberships

Teaching

Research

Postgraduate Supervision

Publications

Journal Publications

Baldwin, A., Gheyas, I., Ioannidis, C., Pym, D., and Williams, J. Contagion in Cybersecurity Attacks. Accepted for publication: Journal of the Operational Research Society, 2016.
Gheyas, I., and Abdallah, A.E. Detection and Prediction of Insider Threats to Cyber Security: A Systematic Literature Review and Meta-Analysis. Accepted for publication: Big Data Analytics, 2016 (Invited Paper).
Gheyas, I.A., and Smith, L.S. (2011). A Novel Neural Network Ensemble Architecture for Time Series Forecasting. Neurocomputing, 74(18), pp. 3855-3864 (Cited by 32).
Gheyas, I.A., and Smith, L.S. (2010). Feature Subset Selection in Large Dimensionality Domains. Pattern Recognition, 43(1), pp. 5-13 (Cited by 251: One of the most cited articles published since 2010, extracted from Scopus).
Gheyas, I.A., and Smith, L.S. (2010). A Neural Network-based Framework for the Reconstruction of Incomplete Data Sets. Neurocomputing, 73(16-18), pp. 3039-3065 (Cited by 31).

Book Chapters

Gheyas, I.A., & Smith, L.S. (2009). ‘Reconstruction of Cross-sectional Missing Data using Neural Networks’. In Dominic Palmer-Brown et al (Eds.), Engineering Applications of Neural Networks, Communications in Computer and Information Science (CCIS), vol. 43, Springer Berlin Heidelberg, pp. 28-34.

International Refereed Conference Papers

Ioannidis, C., Pym, D., Williams, J., and Gheyas, I. (2014). Resilience in Information Stewardship. In: 13th Annual Workshop on the Economics of Information Security (WEIS 2014), Penn State University, 23-24, June Pennsylvania (Cited by 2).
Baldwin, A., Gheyas, I., Ioannidis, C., Pym, D., & Williams, J. (2012). Contagion in Cybersecurity Attacks. In: 11^th Annual Workshop on the Economics of Information Security, Berlin, Germany, 25/06/12-26/06/12 (Cited by 2).
Gheyas, I.A., and Smith, L.S. (2009). A Neural Network Approach to Time Series Forecasting. Paper published in Proceedings of the World Congress on Engineering 2009, vol. II, WCE 2009, July 1-3, London, UK (Cited by 40).
Gheyas, I.A., and Smith, L.S. (2009). A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data. Paper published in the Proceedings of World Congress on Engineering, 2009 Vol. II, WCE 2009, July 1-3, London, UK (cited by 2).

Presentations

Gheyas, I.A., & Williams, J.M. (2013). Forecasting Short-Term Stock Price Movements using Evolutionary Algorithms and Neural Networks. Paper presented at the 20^th Forecasting Financial Market 2013, Hannover, Germany.

Gheyas, I. A. (2012). Dynamic Modelling of Cyber Attacks. Invited Presentation. School of Natural & Computing Sciences at the University of Aberdeen.
Gheyas, I. A., & Smith, L.S. (2009). ‘Reconstruction of Cross-sectional Missing Data using Neural Networks’. Paper presented at the 11^th International Conference on Engineering Applications of Neural Networks, EANN 2009, London, UK, August 27-29, 2009.
Gheyas, I. A., & Smith, L.S. (2009). A neural network approach to time series forecasting. Paper presented at the World Congress on Engineering 2009, vol. II, WCE 2009, July 1-3, London, UK.
Gheyas, I. A., & Smith, L.S. (2009). A novel nonparametric Multiple Imputation Algorithm for Estimating Missing Data. Paper presented at the World Congress on Engineering 2009 Vol. II, WCE 2009, July 1-3, London, UK.

Theses and Technical Reports

Gheyas, I.A., Hallas, B., & Williams, J. (2011). Cloud Computing and SME’s in UK. A CSE project report, November 2011.
Gheyas, I. A. (2009).Novel Computationally Intelligent Machine Learning Algorithm for Data Mining and Knowledge Discovery. PhD thesis, University of Stirling.
Gheyas, I. A. (2005). A Decision Support Tool for Disease Diagnosis. MSc thesis, University of Stirling.
Gheyas, I. A. (2004). Managing Information Systems in the University Libraries: A case study of the Stirling University Library. MSc thesis, University of Stirling.
Gheyas, I.A., & Sabur, S.A. (2003). Household Consumption Pattern and Buying Behaviour for Fish in Area of Mymensingh, Bangladesh. Bangladesh Journal of Fisheries, 7(2), 185-196.
Gheyas, I.A., & Sabur, S.A. (2002). Effects of Various Stimuli on Consumer Behaviour for Food Commodities in an Area of Mymensingh District, Bangladesh. Bangladesh Journal of Agricultural Economics. 26(2), 63-84.
Gheyas, I. A. (2002).A Study on Consumer Behaviour towards Food Commodities of the residents of Agrivarsity and Adjoining Areas Under Mymensingh Sadar Upazila. M.S. thesis, Bangladesh Agricultural University.