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Rameez Kureshi

Mr Rameez Kureshi

Lecturer and Programme Director

+44 (0)1482 462086 | R.Kureshi@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Related groups

  • Computer Science

Qualifications

  • BSc (Indian Institute of Technology)
  • MSc (Indian Institutes of Technology)
  • MSc (University of Bradford)
  • PhD (University of Bradford)

Summary

Rameez has expertise in Artificial Intelligence (AI), Data Science and the Internet of Things (IoT) and this helps me to address environmental and societal challenges.

Prior to joining the University of Hull, Rameez worked on two European Commission Funded projects: LifeCritical and Smart Cities and Open Data REuse (SCORE) with nine European cities and three other Universities.

I have international teaching experience of more than four years in various Computer Science and AI subjects.

Recent outputs

View more outputs

Journal Article

Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device

Jenner, L. C., Kureshi, R. R., White, D., Chapman, E., Sadofsky, L. R., & Rotchell, J. M. (2022). Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device. Atmosphere, 13(12), Article 2017. https://doi.org/10.3390/atmos13122017

Laura Sadofsky Jeanette Rotchell

Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring

Kureshi, R., Mishra, B., Thakker, D., John, R., Walker, A., Simpson, S., …Wante, A. (2022). Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring. Sensors, 22(3), Article 1093. https://doi.org/10.3390/s22031093

Dhaval Thakker

Research interests

Artificial Intelligence, Data Science, Smart cities and IoT

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