Dr Amin Karami
Associate Professor
Department of Engineering & Computing , School Of Architecture, Computing And Engineering
I am an Associate Professor in the School of Computer Science and Digital Technologies (CDT) at ACE. My main role involves leading the PG courses and being the course leader for MSc Big Data Technologies. I secured £1.2m in funding for MSc AI and Data Science to promote diversity in non-STEM and far-STEM students, aligning our course with industry needs and enhancing graduate employability.
Areas Of Interest
Artificial Intelligence and Data Science
- Big Data Technologies
- Optimization and Fuzzy Theories
- Industry 5.0 and Blockchain Technologies
OVERVIEW
Dr. Amin Karami is an Associate Professor in the School of Computer Science and Digital Technologies (CDT) at ACE. His main role involves leading the PG courses and being the course leader for MSc Big Data Technologies.
Internally, Dr. Karami has spearheaded innovative programs that promote diversity and inclusion in STEM fields. By securing £1.23 million in funding from the Office for Students, he has developed groundbreaking MSc AI and Data Science courses tailored for far-STEM and non-STEM graduates in 2023-25. His commitment to fostering diversity is evident in his efforts to recruit underrepresented groups.
External roles
Dr. Karami plays a vital role as an external examiner and collaborates with prestigious organisations such as Multiverse and Cambridge Spark. His work with these institutions focuses on enhancing educational quality and aligning academic programs with industry needs. Additionally, he has been recognized with the UEL Vice-Chancellor & President Impact & Innovation Award for Industry 4.0 readiness in 2023. Dr. Karami has organised successful events like the Chainlink Bootcamp, bridging academia and industry, and served as a guest editor for high-impact international journals. His dedication to professional development is further demonstrated by his Fellow of the Higher Education Academy (FHEA) certification and his role as a program chair at international conferences.
CURRENT RESEARCH
- Big Data Analytics and Cloud-based Platforms for streaming and large-scale data
- Big Data Infrastructure
- Computational Intelligence and Learning disciplines and concepts
- Blockchain and Cryptocurrencies
MODULES
- MSc Big Data Analytics
- MSc Machine Learning on Big Data
- Advanced Topics in Business Computing
- Data Structure and Algorithms
- Big Data Infrastructure
- UG/PG/PhD Supervisions
Publications
The last four years of publications can be viewed below.
Full publications list
Visit the research repository to view a full list of publications
- Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing Data Intelligence. p. In Press. https://doi.org/10.3724/2096-7004.di.2024.0055
- Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark Electronics. 11 (16), p. 2567. https://doi.org/10.3390/electronics11162567
- Stock market prediction using machine learning classifiers and social media, news Journal of Ambient Intelligence and Humanized Computing. 13, pp. 3433-3456. https://doi.org/10.1007/s12652-020-01839-w
- A novel centroids initialisation for K-means clustering in the presence of benign outliers International Journal of Data Analysis Techniques and Strategies. 12 (4), pp. 287-298. https://doi.org/10.1504/IJDATS.2020.111498
- An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities Expert Systems with Applications. 108, pp. 36-60. https://doi.org/10.1016/j.eswa.2018.04.038