Dr. Naveed Islam is a Senior Lecturer in the Department of Computing at the School of Creative Technologies, University of Greater Manchester (formerly University of Bolton), with over 15 years of combined academic and industry experience. He currently serves as the Programme Leader for both the BSc and MSc Artificial Intelligence programmes, where he oversees curriculum development, academic quality, and strategic enhancement to ensure alignment with industry trends and emerging technologies.

Dr. Islam has played leading roles in numerous international research and development (R&D) initiatives, delivering innovative, real-world solutions across diverse sectors, such as healthcare, smart agriculture, intelligent sensor systems, the Internet of Things (IoT), and cybersecurity. He has held multiple academic leadership positions, contributing significantly to curriculum design, pedagogical innovation, quality assurance, and institutional strategy within higher education. His research expertise spans Artificial Intelligence (AI), Machine Learning (ML), Computer Vision (CV), Data Science, and Information Security, with a strong focus on interdisciplinary collaboration and application-oriented outcomes. Deeply committed to inclusive, high-quality education, Dr. Islam integrates research-led teaching with student-centred learning practices.

He holds a Postgraduate Certificate in Teaching and Learning in Higher and Professional Education (UK) and is a Fellow of the Higher Education Academy (FHEA).

Research Interests and Research Subject Specialisms:

Dr. Naveed Islam’s research focuses on advancing Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Computer Vision, with an emphasis on model interpretability, real-time deployment, and interdisciplinary integration. His work bridges theoretical advancements and practical applications, creating impactful solutions across sectors such as healthcare, cybersecurity, smart agriculture, and intelligent systems.

Dr. Islam’s expertise spans a wide array of areas, including:
• AI & ML: Supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs, Transformers), and model explainability
• Data Science & Analytics: Predictive modelling, big data pipelines, and data visualization
• Natural Language Processing: Text classification, topic modelling, and sentiment analysis
• Computer Vision: Image classification, object detection, and medical image analysis
• Cybersecurity & IoT: Anomaly detection, sensor network security, and edge AI
• Interdisciplinary Applications: Smart agriculture, autonomous systems, digital health, and immersive technologies (e.g., virtual reality)

His research has resulted in numerous international journal and conference publications, offering practical solutions to contemporary challenges while advancing academic knowledge. Dr. Islam is deeply committed to collaborative, interdisciplinary research and actively participates in nationally and internationally funded projects.

In recognition of his expertise, Dr. Islam serves as a reviewer for top-tier journals (IEEE, Elsevier, Springer) and contributes to major research initiatives and funding panels, including EU Horizon, Qatar Foundation, and e-COST.

Teaching specialisms;

Dr. Naveed Islam is actively involved in the design, development, and delivery of undergraduate and postgraduate modules across Computer Science, Data Science, and Artificial Intelligence programmes. His teaching philosophy blends rigorous theoretical foundations with practical, real-world engagement. He employs a dynamic, student-centred approach that incorporates live coding demonstrations, hands-on lab sessions, real-world datasets, and industry-driven case studies to foster deep understanding and applied learning.

Dr. Islam has successfully led and taught a wide range of modules, including:
• DevOps
• Advanced Software Development
• Databases and Web Applications
• Programming for Data Science (Python/R)
• Machine Learning and Data Mining
• Applied Artificial Intelligence
• Computer Vision and Deep Learning
• Deep Learning and Neural Networks
• Research Methods
• Critical Insight
In addition, he supervises Final Year Projects and MSc Dissertations, guiding students through research-led investigations and practical solution development.

Dr. Islam places a strong emphasis on inclusive teaching practices, employability-focused skills, and active student engagement. He also contributes significantly to curriculum innovation, programme validation, and academic-industry collaborations, all aimed at enriching the learning experience and preparing students for future challenges in technology-driven careers.

Publications and Research:

Dr. Naveed Islam has an extensive portfolio of high-quality publications in internationally reputed journals and conferences, including those published by IEEE, Elsevier, Springer, and ACM. His research contributions span across artificial intelligence, machine learning, computer vision, data science, cybersecurity, and intelligent systems.

Dr. Islam’s scholarly work is characterised by its strong emphasis on interdisciplinary collaboration and real-world applicability, with impactful studies in areas such as medical image analysis, smart agriculture, autonomous navigation, and digital health. He has co-authored numerous peer-reviewed articles, book chapters, and conference papers, most of which have been indexed in Scopus and Web of Science. His research output not only contributes to academic knowledge but also addresses key challenges across industry and society.

Dr. Islam regularly collaborates with national and international research partners and actively contributes to the global scientific community through his editorial and peer-review roles.

His research contributions can be found on Google Scholar:
https://scholar.google.com/citations?view_op=list_works&hl=en&user=9evmMEQAAAAJ&gmla=AJ1KiT20-2YW1Y5W376-sS6K34MND5s1JR1RQUB6kIpdFJ80JDfmU-8Gnv6reRO30D3-HeKRGOZVYwsCxuwCLBKGX6OKC0dxYCgk5ZZGjjrX