Centre for Research in Computer Science and Applications | Research

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CriSCA is a community of academics and researchers from within the School of Built Environment, Engineering and Computing, who work very closely with the public, private and third sector to solve societal challenges.

Our main application areas are:

Healthcare
Sustainability
Big data

The Centre hosts a number of projects funded by EPSRC, InnovateUK, EU Horizon 202, and ERASMUS++.

our research expertise

Our research falls into two distinct areas, use the links below to explore our work.

Data Science, AI and Machine Learning Sustainable IT

our team

Dr Pooneh Bagheri Zadeh

Course Director / School Of Built Environment, Engineering And Computing
Dr Giuseppe Colantuono

Senior Research Fellow / School Of Built Environment, Engineering And Computing
Professor Jiamei Deng

Professor / School Of Built Environment, Engineering And Computing

featured research

AI for Safety Management of Nuclear Power plants

featured research

Green Networking and Cloud Computing (GENIAL)

Outputs

Alani, M.M., Tawfik, H., Saeed, M. and Anya, O. (2018) Applications of Big Data Analytics Trends, Issues, and Challenges. Springer.

Palczewska, A., Kovarich, S., Ciacci, A., Fioravanzo, E., Basan, A. and Neagu, D. (2019) Ranking strategies to support toxicity prediction: a case study on potential LXR binders. Computational Toxicology., (in press)
Hussain, A.J., Liatsis, P., Khalaf, M., Tawfik, H. and Al-Asker, H. (2018) A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Research
Ruiz-Garcia, A., Elshaw, M., Altahhan, A. and Palade, V. (2018) A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots. Neural Computing and Applications, 29 (7) February, pp. 359-373
Hussain, MA and Sheikh Akbari, A (2018) Color Constancy Adjustment using Sub-blocks of the Image. IEEE Access, 6. ISSN 2169-3536

Hussain, MDA and Sheikh Akbari, A (2018) Color Constancy Algorithm for Mixed-illuminant Scene Images. IEEE Access. ISSN 2169-3536
Tian D., Deng J., Vinod G., Santhosh T. V., Hissam, H. (2018) A Constraint-based Genetic Algorithm for Optimizing Neural Network Architectures for Detection of Loss of Coolant Accidents of Nuclear Power Plants, Neurocomputing, 322(17), Pages 102-119
Mallik, B and Sheikh Akbari, A and Kor, A (2018) HEVC based Mixed-Resolution Stereo Video Codec. IEEE Access. ISSN 2169-3536
Mallik, B and Sheikh Akbari, A and Kor, A (2018) Mixed-Resolution HEVC based multiview video codec for low bitrate transmission. Multimedia Tools and Applications. pp. 1-20. ISSN 1380-7501
Baker, T., Aldawsari, B., Asim, M., Tawfik, H., Maamar, Z. and Buyya, R. (2018) Cloud-SEnergy: A bin-packing based multi-cloud service broker for energy efficient composition and execution of data-intensive applications. Sustainable Computing: Informatics and Systems
Reina, D.G., Tawfik, H. and Toral, S.L. (2017) Multi-subpopulation evolutionary algorithms for coverage deployment of UAV-networks. Ad Hoc Networks, 68 October, pp. 16-32
Baker, T., Asim, M., Tawfik, H., Aldawsari, B. and Buyya, R. (2017) An energy-aware service composition algorithm for multiple cloud-based IoT applications. Journal of Network and Computer Applications, 89 March, pp. 96-108
Anya, O. and Tawfik, H. (2016) Designing for practice-based context-awareness in ubiquitous e-health environments. Computers and Electrical Engineering, 61 August, pp. 312-326
Marchese Robinson, R.L., Palczewska, A., Palczewski, J. and Kidley, N. (2017) Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets. Journal of Chemical Information and Modeling, 57 (8) pp. 1773-1792
Baker, T., Al-Dawsari, B., Tawfik, H., Reid, D. and Ngoko, Y. (2015) GreeDi: An energy efficient routing algorithm for big data on cloud. Ad Hoc Networks, 35 January, pp. 83-96
Tawfik, H. and Anya, O. (2015) Evaluating practice-centered awareness in cross-boundary telehealth decision support systems. Telematics and Informatics, 32 (3) January, pp. 486-503
Reid, D., Hussain, A.J. and Tawfik, H. (2014) Financial time series prediction using spiking neural networks. Plos One, 9 (8) August