Journal Article
A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy
Xue, Y., Kambhampati, C., Cheng, Y., Mishra, N., Wulandhari, N., & Deutz, P. (2024). A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy. International Journal of Computational Intelligence Systems, 17, Article 8. https://doi.org/10.1007/s44196-023-00375-7
Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure
Kazmi, S., Kambhampati, C., Cleland, J., Cuthbert, J., Kazmi, K. S., Pellicori, P., …Clark, A. L. (2022). Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure. ESC Heart Failure, https://doi.org/10.1002/ehf2.14028
Addressing Optimisation Challenges for Datasets with Many Variables, Using Genetic Algorithms to Implement Feature Selection
Gordon, N., Kambhampati, C., & Alabad, A. (2022). Addressing Optimisation Challenges for Datasets with Many Variables, Using Genetic Algorithms to Implement Feature Selection. AI, Computer Science and Robotics Technology, 1, 1-21. https://doi.org/10.5772/acrt.01
Research interests
Over the years I have worked on problems dealing with optimisation, optimal control, learning algorithms, neural networks, and networked control systems as applied to a variety of different applications including Robots, chemical processes and bio systems. I have also worked on problems dealing with walking of robots. More recently I have been working on two problems,one dealing with risk prediction in the clinical domain using live clinical data and the other neurological disorders and computation models from a neurons perspective. AT the same time recently been developing sensors based on photonics for controlling robots
Co-investigator
Project
Funder
Grant
Started
Status
Project
Evolving a Circular Plastics Economy
Funder
EPSRC Engineering & Physical Sciences Research Council
Grant
£938,304.00
Started
1 January 2019
Status
Complete