Personal profile
Research interests
Data science, data analytics, big data, data management, data mining, data warehousing, health informatics, population health, primary healthcare optimization and transformation, machine learning
Biography
Dr M. Akhtar Ali – BSc, MSc, PhD. Dr Ali joined Northumbria University in August 2000 as a lecturer and then subsequently, within a year, he got promoted to senior lecturer, which means that he served Northumbria University and the Department of Computer and Information Sciences for more than 20 years. He has extensive experience in teaching, research, and development in the field of database systems, data integration, database migration, query optimisation, data warehousing, materialized views, and data mining.
On the research and enterprise front, previously Dr Ali worked on a KTP project in the area of geographical information systems in collaboration with Atlantic Geomatics, Cumbria, for the Government of Gibraltar. Recently, he worked on a two-year KTP project at Corbridge Medical Group to develop a new General Practice service delivery model informed by data mining to predict population needs and consequently redesigned processes and workforce focus. He has extensive experience of supervising BSc, MSc, and PhD students & projects in computing and information sciences.
On the teaching and administration front, Dr Ali has over 20 years of experience of teaching and learning at Northumbria University, three years of teaching/tutoring/demonstrator experience at Manchester University, and three years of teaching/tutoring/trainer experience in Pakistan before he arrived in the UK in September 1997 as a fully funded commonwealth PhD student as Manchester University. He led and contributed to teaching and delivery of numerous modules to undergraduate and postgraduate students in full-time, part-time, on-campus, at distance, and now online, e.g., Principles of Data Science, Database Modelling, Advanced Databases, Relational Databases, Object-Oriented Analysis and Design, Data Warehousing, Research Methods, Software and Data Modelling, Application Design and Development.
In recent years, Dr Ali developed MSc Information Science (with Data Analytics) programme, which ran for the first time in September 2016. In 2019, he developed a new specialist programme: MSc Data Science, which ran for the first time in September 2020 and again in January 2021, with a sizeable student body.
Further Information
Education/Academic qualification
Computer Science, PhD, Incremental Maintenance of Materialized Views in Object--Oriented Databases, University of Manchester
23 Sept 1997 → 20 Sept 2002
Award Date: 19 Mar 2003
Computer Science, MSc, Development of Personnel Responsibilities and Activities Management System, University of Peshawar
1 Apr 1993 → 31 May 1995
Award Date: 15 Dec 1995
Fingerprint
- 1 Similar Profiles
-
Exploiting Ontology Recommendation Using Text Categorization Approach
Sarwar, M. A., Ahmed, M., Habib, A., Khalid, M., Ali, A., Raza, M., Hussain, S. & Ahmed, G., 18 Feb 2021, In: IEEE Access. 9, p. 27304 - 27322 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)191 Downloads (Pure) -
Flow-Aware Elephant Flow Detection for Software-Defined Networks
Hamdan, M., Mohammed, B., Humayun, U., Abdelaziz, A., Khan, S., Ali, M. A., Imran, M. & Marsono., M., 30 Apr 2020, In: IEEE Access. 8, p. 72585-72597 13 p., 9066961.Research output: Contribution to journal › Article › peer-review
Open AccessFile55 Citations (Scopus)113 Downloads (Pure) -
Migrating relational databases into XML documents
Maatuk, A. M., Abdelaziz, T. & Ali, A., 28 Nov 2020, Proceedings - 2020 21st International Arab Conference on Information Technology, ACIT 2020. Piscataway, NJ: IEEE, 11 p. 9299967Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Citations (Scopus) -
Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction
Rehman, A., Khan, A., Ali, A., Khan, M. U., Khan, S. U. & Ali, L., Jun 2020, 2nd International Conference on Electrical, Communication and Computer Engineering: ICECCE 2020). Piscataway: IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
58 Citations (Scopus) -
Identifying high-frequency attendees in general practice
Cook, G., Ali, A., Dykins, R., Hudson, R., Johnstone, J. & Mitchell, J., 1 Jul 2017, In: British Journal of General Practice (BJGP). 67, 660, p. 322-323Research output: Contribution to journal › Article › peer-review
Open AccessFile44 Downloads (Pure)