Contact details
Address
Northampton Square
London EC1V 0HB
United Kingdom
Personal links
About
Overview
Kaleem Peeroo, an upcoming expert in Data Distribution Service, has conducted extensive research on the impact of quality of service settings on performance. He has utilised this data to train machine learning models, predicting the performance of such services and determining optimal configurations while meeting performance constraints such as latency or throughput.
Kaleem's work is particularly valuable in the deployment of real-time mission-critical systems. He recognises the importance of having constraints on performance and determining the best configuration of quality of service settings.
Kaleem is also interested in exploring real-time adaptation of these settings to match network usage and optimize performance for given conditions. With his expertise and innovative approach, Kaleem is making significant strides in optimizing the performance of Data Distribution Service.
Qualifications
- BSc, City, University of London, United Kingdom, Sep 2017 – Jun 2020
Employment
- Graduate Teaching Assistant, City, University of London, Oct 2020 – Jun 2023
- Team Project Consultant, City, University of London, Oct 2020 – Aug 2022
- Junior Software Developer, City, University of London, Mar 2019 – Mar 2020
- Computer Science Student Mentor, Leyton Sixth Form College, Sep 2017 – Jan 2021
- Tutor/Teacher, Focal Tuition, Mar 2016 – Mar 2020
Languages
Arabic (can read, write, speak and understand spoken), English (can read, write, speak, understand spoken and peer review) and French (can speak and understand spoken).
Publications
Publications by category
Conference papers and proceedings (2)
- Peeroo, K., Popov, P., Stankovic, V. and Weyde, T. (2024). Machine Learning for Performance Prediction of Data Distribution Service (DDS). European Dependable Computing Conference 8-11 April, Leuven, Belgium.
- Peeroo, K., Popov, P. and Stankovic, V. (2022). Exploring The Effects of Multicast Communication on DDS Performance. European Dependable Computing Conference 12-15 September, Zaragoza, Spain.
Report
- Peeroo, K., Popov, P., Stankovic, V. and Weyde, T. Machine Learning for Performance Prediction of Data Distribution Service..