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Personal profile

Research Statement

Sakil completed his PhD in Computer Science from the Queen’s University Belfast in the year 2018. 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 (https://cactos.github.io/) 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. In VINEYARD, Sakil designed an Apache Spark-based programming model for executing tasks in the project's heterogenous computing platform.Currently, Sakil is working on an interdisciplinary project (Biohaviour - https://biohaviour.com) between Computer Science and Mechanical Engineering departments. Specifically, in this project Sakil is designing a Cloud-based manufacturing framework that can take customer product requests through a Cloud-based web service and deliver 3D printed products after performing computer-aided design (CAD) and 3D printing through Cloud services.

Research Interests

Cloud computing, distributed computing, anomaly detection, big data anlysis, digital manufacturing, industry 4.0


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