Centre for Research in Computer Science and Applications (CriSCA)

 

Image of computer hardware
Image of person connecting wires to hard drives

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++.

Pervasive Computing and Communication for Sustainable Development

Changing policy and practice, improving performance and promoting sustainability across a number of sectors.

Changing policy and practice, improving performance and promoting sustainability across a number of sectors.

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• Featured • Featured • Featured • Featured

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