Lecturer & Programme Director | Online MSc - AI | BSc/MEng - AI

Dr Rameez Kureshi

Dr Rameez Kureshi
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About Dr Rameez Kureshi

Dr Rameez Kureshi is a Lecturer and Programme Director at the University of Hull. He leads the Hull Online MSc in Artificial Intelligence and the BSc/MEng Computer Science with Artificial Intelligence, with responsibility for programme quality, student experience, and industry-relevant curriculum development. He is an active member of the University’s Centre for Responsible AI and contributes to teaching, supervision, and collaborative research across the school.

Dr Kureshi’s research focuses on developing responsible, deployable AI for connected sensing and edge-enabled systems. He prioritises solutions that are operationally robust and transparent regarding their limitations. His work connects responsible and explainable AI – specifically safety, transparency, and fairness with IoT /edge infrastructure. It applies this to high-impact domains, including healthcare and social care, circular economy, manufacturing, environmental monitoring, and data-driven public services, where data quality and human factors are as important as model performance.

He works closely with industry and public-sector partners through funded projects, translating research into prototypes, evaluation, and delivery in real settings. At the University of Hull, he has led as Principal Investigator and held Co-I/Co-PI/Academic Co-Supervisor roles across various funded projects totalling more than £1.5M, supported by Innovate UK, EPSRC, the Wolfson Foundation, and the University of Hull. His recent portfolio includes Innovate UK Knowledge Transfer Partnerships with Veracity Healthcare (IRIS: incident reporting and investigation in domiciliary care) and HETA (a digital twin platform for Industry 4.0 training), the completed Innovate UK project with Connexin developing a speech-to-text platform for assisted living, and Techbuyer supporting circular-economy practices in the ICT sector. He is also a Co-Investigator (supplement project) on Hull’s contribution to the EPSRC National Edge AI Hub (£10M national programme) and on a Wolfson Foundation equipment bid (£500k) supporting multidisciplinary research in advanced imaging and data-driven analysis. Before joining Hull, he contributed to the EU Interreg “SCORE” smart cities programme (€2.8M; University of Bradford share £342k) and a Digital Catapult project on horizon scanning for Net Zero-aligned urban planning. Alongside this, he maintains international collaborations with IIT Madras, IIT Delhi, and Vellore Institute of Technology (VIT) – Chennai.

Rameez holds a PhD in Artificial Intelligence and IoT from the University of Bradford (2019–2023) and an MSc in Cyber Security (Distinction) from the University of Bradford (2017–2018). He is a Senior Fellow of Advance HE (SFHEA) (and previously FHEA), reflecting his sustained contribution to teaching, student support, and programme leadership. He also completed another Master's (MCA, 2014-2016) and a Bachelor's (BCA, 2011-2014), both in India, graduating with Distinction in each.

He supervises PhD researchers across topics including Edge AI, geospatial fairness, AI regulation, climate change and AI, and AI assurance, and supports students from shaping the research question to implementation, evaluation, and publication. His published work includes peer-reviewed outputs on indoor air quality, AI and sensing, and related data-driven methods, with contributions to journals and international conferences.

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