Dr Benhur Bakhtiari Bastaki

• Fellow of the Higher Education Academy (HEA)
• Member of British Computing Society (MBC)
• Program advisor for Microsoft Learn for Educators Institutional Programme (MLEP)

• PhD in Computing Science, Staffordshire University
• MSc in Computer Science, Staffordshire University
• Postgraduate Certificate in Higher and Professional Education, Staffordshire University.
• BSc (Hons) in Computing Science, Staffordshire University

• Artificial intelligence
• Applied machine learning
• Programming AI algorithm
• Pattern recognition
• Data analytics
• Ambient assisted
• Microsoft Azure AI and Data Analytics
• Microsoft Power BI

• Artificial intelligence
• Applied machine learning
• Pattern recognition
• Smart systems
• Data analytics, data mining

Benhur has worked extensively on several projects, researching and developing domain specific solutions. This includes:

• Successfully implemented a new data capture and modelling tool within the host business, enabling a solid foundation for the future use of artificial intelligence modelling in marketing campaigns.
• Developed a solution integrating smart sensors into sporting headgear that can transmit and analyse the impact data to monitor health status of the players.
• A data analytic solution for modelling demand patterns on health and social care systems based on cohorts of patient and service user groups.

He also has industrial experience as a software developer for the insurance software Warehouse.

• Data Analytics Tools and Techniques
• Enterprise Big Data Analytics
• Software Development with Python
• Decision Management
• Robot Ethics in an AI world
• Engineering Enterprise Application

Bamaqa, A., Sedky, M., Bosakowski, T., Bakhtiari Bastaki, B. and Alshammari, N.O. (2022) 'SIMCD: SIMulated crowd data for anomaly detection and prediction', Journal of Expert Systems with Applications, 203, pp. 117475. doi: https://doi.org/10.1016/j.eswa.2022.117475

Bamaqa, Amna, Sedky, Mohamed and Benhur Bakhtiari Bastaki (2022) ‘Reactive and Proactive Anomaly Detection in Crowd Management Using Hierarchical Temporal Memory’. International Journal of Machine Learning and Computing (IJMLC), 12 (1). pp. 7-16. ISSN 2010-3700

Lutta, P., Sedky, M., Hassan, M., Jayawickrama, U. and Bakhtiari Bastaki, B. (2021) 'The complexity of internet of things forensics: A state-of-the-art review', Journal of Forensic Science International: Digital Investigation, 38, pp. 301210. doi: https://doi.org/10.1016/j.fsidi.2021.301210

Hamid Reza Reza Sadeghi, Saeed Shiry Shiry Ghidary, and Benhur Bakhtiari Bakhtiari Bastaki,’A Method for Improving Unsupervised Intent Detection using BI-LSTM CNN Cross Attention Mechanism’ in Proceedings of 4^th International Conference on Advances in Artificial Intelligence, 2020.

Afaf Almehmadi, Tomasz Bosakowski, Mohamed Sedky, and Benhur Bakhtiari Bastaki ‘HTM Based Anomaly Detecting Model for Traffic Congestion’ in Proceedings of 4th International Conference on Cloud and Big Data Computing, 2020.

Amna Bamaqa, Mohamed Sedky, Tomasz Bosakowski, and Benhur Bakhtiari Bastaki, ‘Anomaly Detection Using Hierarchical Temporal Memory (HTM) in Crowd Management’ in Proceedings of 4th International Conference on Cloud and Big Data Computing, 2020.

Benhur Bakhtiari Bastaki and Tomasz Bosakowski and Elhadj Benkhelifa, ‘Intelligent Assisted Living Framework for Monitoring Elders’ in Proceedings of 14th International Conference on Computer Systems and Applications, 2017.