Sakil completed his PhD in 2018 from Queen’s University Belfast. His PhD research delivered accurate and efficient anomaly detection techniques for Cloud and mobile devices to protect them against cybersecurity attacks. During his PhD Sakil was part of couple of European projects, namely CACTOS (http://cactos-cloud.eu) and VINEYARD (http://vineyard-h2020.eu/en/). In CACTOS, Sakil was engaged in monitoring and analysing server logs in a Cloud data centre in order to detect anomalies arising due to cybersecurity attacks. Whereas, in VINEYARD, Sakil designed a Spark-based programming model for executing tasks in the project's heterogenous computing platform.
Currently, as a postdoctoral research fellow at Queen's University Belfast, Sakil is working in the biohaviour project to design an actor-based framework for manufacturing in the Cloud. Specifically, Sakil is aiming to provide the cloud-based solution for the manufacturing process that includes design, manufacture, and evaluation through cloud based service, which is termed as Smart Manufacturing as a Service (SmartMaaS). Overall, Sakil's research interests include cloud computing, data analytics, machine learning, and anomaly detection.