Dr Christopher Simpkin
Teams and roles for Christopher Simpkin
Honorary Research Fellow
Publication
2022
- Barclay, I. et al. 2022. Trustable service discovery for highly dynamic decentralized workflows. Future Generation Computer Systems 134, pp. 236-246. (10.1016/j.future.2022.03.035)
- Bent, G., Simpkin, C., Li, Y. and Preece, A. 2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States, 3 April - 13 June 2022 Presented at Pham, T. and Solomon, L. eds.Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, Vol. 12113. SPIE pp. 121131M., (10.1117/12.2617362)
- Bent, G., Simpkin, C., Li, Y. and Preece, A. 2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI), Padova, Italy, 18-23 July 2022. IEEE
2021
- Simpkin, C. 2021. A vector symbolic approach for cognitive services and decentralized workflows. PhD Thesis, Cardiff University.
2020
- Barclay, I. et al. 2020. Enabling discoverable trusted services for highly dynamic decentralized workflows. Presented at: 15th IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS 2020), Virtual, 11 November 2020.
- Simpkin, C., Taylor, I., Harborne, D., Bent, G., Preece, A. and Ganti, R. K. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111, pp. 117-131. (10.1016/j.future.2020.04.005)
2019
- Simpkin, C., Taylor, I., Bent, G., de Mel, G., Rallapalli, S., Ma, L. and Srivatsa, M. 2019. Constructing distributed time-critical applications using cognitive enabled services. Future Generation Computer Systems 100, pp. 70-85. (10.1016/j.future.2019.04.010)
2018
- Simpkin, C., Taylor, I., Bent, G., de Mel, G. and Ganti, R. 2018. A Scalable Vector Symbolic Architecture Approach for Decentralized Workflows. Presented at: The Eighth International Conference on Advanced Collaborative Networks, Systems and Applications COLLA 2018, Venice, Italy, 24-28 June, 2018.
- Simpkin, C., Taylor, I., Harborne, D., Bent, G., Preece, A. and Ganti, R. k. 2018. Dynamic distributed orchestration of Node-RED IOT workflows using a vector symbolic architecture. Presented at: WORKS 2018, Dallas Texas, 11-16 November 2018.
Cynadleddau
- Bent, G., Simpkin, C., Li, Y. and Preece, A. 2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States, 3 April - 13 June 2022 Presented at Pham, T. and Solomon, L. eds.Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, Vol. 12113. SPIE pp. 121131M., (10.1117/12.2617362)
- Bent, G., Simpkin, C., Li, Y. and Preece, A. 2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI), Padova, Italy, 18-23 July 2022. IEEE
- Barclay, I. et al. 2020. Enabling discoverable trusted services for highly dynamic decentralized workflows. Presented at: 15th IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS 2020), Virtual, 11 November 2020.
- Simpkin, C., Taylor, I., Bent, G., de Mel, G. and Ganti, R. 2018. A Scalable Vector Symbolic Architecture Approach for Decentralized Workflows. Presented at: The Eighth International Conference on Advanced Collaborative Networks, Systems and Applications COLLA 2018, Venice, Italy, 24-28 June, 2018.
- Simpkin, C., Taylor, I., Harborne, D., Bent, G., Preece, A. and Ganti, R. k. 2018. Dynamic distributed orchestration of Node-RED IOT workflows using a vector symbolic architecture. Presented at: WORKS 2018, Dallas Texas, 11-16 November 2018.
Erthyglau
- Barclay, I. et al. 2022. Trustable service discovery for highly dynamic decentralized workflows. Future Generation Computer Systems 134, pp. 236-246. (10.1016/j.future.2022.03.035)
- Simpkin, C., Taylor, I., Harborne, D., Bent, G., Preece, A. and Ganti, R. K. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111, pp. 117-131. (10.1016/j.future.2020.04.005)
- Simpkin, C., Taylor, I., Bent, G., de Mel, G., Rallapalli, S., Ma, L. and Srivatsa, M. 2019. Constructing distributed time-critical applications using cognitive enabled services. Future Generation Computer Systems 100, pp. 70-85. (10.1016/j.future.2019.04.010)
Gosodiad
- Simpkin, C. 2021. A vector symbolic approach for cognitive services and decentralized workflows. PhD Thesis, Cardiff University.