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Syed Attique Shah

Researcher at Balochistan University of Information Technology, Engineering and Management Sciences

Publications -  30
Citations -  604

Syed Attique Shah is an academic researcher from Balochistan University of Information Technology, Engineering and Management Sciences. The author has contributed to research in topics: Computer science & Big data. The author has an hindex of 6, co-authored 21 publications receiving 145 citations. Previous affiliations of Syed Attique Shah include Istanbul Technical University & University of Tartu.

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The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

TL;DR: In this article, the role of big data and artificial intelligence/machine learning (AI-ML) in the creation of digital twins (DTs) or DT-based systems for various industrial applications, by highlighting the current state of the art deployments.
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Towards Disaster Resilient Smart Cities: Can Internet of Things and Big Data Analytics Be the Game Changers?

TL;DR: The proposed architecture offers a generic solution for disaster management activities in smart city incentives and the evaluation of the system efficiency is measured in terms of processing time and throughput that demonstrates the performance superiority of the proposed architecture.
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A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic.

TL;DR: This survey paper aimed to explore and understand how and which different technological tools and techniques have been used within the context of COVID-19, and investigates Artificial Intelligence approaches for the diagnosis, anticipate infection and mortality rate by tracing contacts and targeted drug designing.
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The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

TL;DR: A conceptual reference model is proposed for the deployment of BDA- and IoT-based disaster management environments that can provide guidelines to harvest, transmit, manage, and analyze disaster data from various data sources to deliver updated and valuable information for disaster management.
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Systematic Literature Review on IoT-Based Botnet Attack

TL;DR: This study conducted a comprehensive systematic literature review on IoT-based botnet attacks and revealed that research in this domain is gaining momentum, particularly in the last 3 years (2018-2020).