Rameez Kureshi

Rameez Kureshi

Lecturer and Programme Director of online MSc - Artificial Intelligence

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Qualifications

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

Summary

Rameez is a highly accomplished professional with specialized knowledge and expertise in the fields of Artificial Intelligence (AI), Data Science, and the Internet of Things (IoT). With a deep understanding of these cutting-edge technologies, Rameez demonstrates a remarkable ability to tackle pressing environmental and societal challenges.

Before joining the esteemed University of Hull, Rameez played a pivotal role in two prestigious projects funded by the European Commission. The first project, "LifeCritical," involved collaboration with nine European cities and three prominent universities, focusing on developing innovative solutions at the intersection of AI and healthcare. The second project, "Smart Cities and Open Data REuse" (SCORE), further showcased Rameez's expertise by exploring the potential of open data and smart city technologies in enhancing urban environments.

Rameez's contributions to these groundbreaking initiatives have underscored their significance in advancing scientific knowledge and technological advancements. His dedication and commitment to academic research and practical applications have solidified his reputation as a respected professional in the field. With an unwavering passion for addressing complex challenges through the power of AI, Data Science, and IoT, Rameez continues to make meaningful contributions to the academic and professional realms.

I have accumulated a wealth of international teaching experience exceeding four years, during which I have had the privilege of instructing a wide array of subjects within the fields of Computer Science and Artificial Intelligence. This extensive exposure to different educational environments and cultural contexts has enhanced my ability to engage with and educate students from diverse backgrounds effectively. Through my teaching endeavours, I have developed a comprehensive understanding of the intricacies inherent to these disciplines, enabling me to deliver high-quality instruction that fosters students' intellectual growth and proficiency in the subject matter.

Recent outputs

View more outputs

Journal Article

From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model

Kureshi, R. R., Thakker, D., Mishra, B. K., & Barnes, J. (2023). From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model. Sensors, 23(7), Article 3613. https://doi.org/10.3390/s23073613

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

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

Research interests

Artificial Intelligence, Data Science, Smart cities and IoT

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