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Ledger – Usman Akhtar – The Global Centre for Risk and Innovation (GCRI)
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Usman AkhtarOffline

5 out of 5
1 Ratings
    Competence 92 / Score

    About

    Usman Akhtar

    Principal Researcher

    Dr. Usman Akhtar, a dynamic and results-oriented postdoctoral researcher, is driven by a deep passion for technological innovation and a firm commitment to advancing research in digital health and related areas. With a Ph.D. in Computer Science & Engineering, Dr. Akhtar possesses a comprehensive understanding of Cloud Computing/Big Data and continuously seeks to explore new technological frontiers.

    Leveraging his rich academic background, Dr. Akhtar specializes in various technical domains, including computational complexity problems, cloud-centric IoT, data acquisition and curation, cloud computing, Explainable AI, wellness-based ubiquitous platforms, performance-based applications, software engineering and architecture, and parallel and distributed systems. This diverse skill set makes him a valuable asset for impactful international projects.

    His research spans multiple critical areas: Cloud-centric IoT, Data Acquisition & Curation, Cloud Computing, Wellness-based Ubiquitous Platforms, Performance-based Applications, Software Engineering & Architecture, and Parallel & Distributed Systems. His expertise is evident in his contributions to enabling cloud solutions for data acquisition, synchronization, and persistence.

    Beyond academia, Dr. Akhtar is a passionate researcher with strong interests in DevOps, Data Science, and System Administration. He has experience architecting and implementing robust DevOps pipelines, optimizing system performance, and ensuring seamless deployment processes. He seamlessly integrates data science techniques to extract insights, drive informed decision-making, and enhance operational efficiency. His primary research areas, including Cloud Computing, Big Data, and Digital Health, demonstrate his commitment to advancing technology and making a lasting impact in the ever-evolving field of computer science and engineering.

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