Dr Chandrasekhar Kambhampati

Dr Chandrasekhar Kambhampati

Emeritus Academic

Teach on

08131 - Computer Systems

08336 - NEAT

08018 - Trustworthy Computing

08325 - Tutor and PR for year in Industry

Recent outputs

View more outputs

Journal Article

Disease progression in chronic heart failure is linear: Insights from multistate modelling

Kazmi, S., Kambhampati, C., Rigby, A. S., Cleland, J. G. F., Kazmi, K. S., Cuthbert, J., Pellicori, P., & Clark, A. L. (online). Disease progression in chronic heart failure is linear: Insights from multistate modelling. European journal of heart failure, https://doi.org/10.1002/ejhf.3400

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(1), 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., Rigby, A. S., & 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

Locally fitting hyperplanes to high-dimensional data

Hou, M., & Kambhampati, C. (2022). Locally fitting hyperplanes to high-dimensional data. Neural Computing and Applications, 34(11), 8885-8896. https://doi.org/10.1007/s00521-022-06909-y

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

Top