Syed Attique Shah

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Lecturer/ Assistant Professor

Birmingham City University

United Kingdom

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About

Dr. Syed Attique Shah is a Lecturer in the School of Computing and Digital Technology at Birmingham City University, UK. His research interests include plant disease classification, multimodal medical image analysis, smart city ecosystems, and blockchain technology applications. He has authored several recent articles addressing topics such as automated disease classification in agriculture, enhancing medical imaging techniques, and the integration of AI and IoT in urban living.

Recent Grants

Grant: Close

3PA ICA Adaptation Project on using GIS for food security

Open Date: 2020-07-01

Close Date: 2021-04-01

Grant: Close

Spatial Decision Support System (SDSS) Lab under the National Center of GIS and Space Applications (NCGSA)

Open Date: 2020-06-01

Close Date: 2023-06-01

Articles (20)

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Collaborators (2)

Raja Muhammad Atif Azad

Reader in Evolutionary Computing and Machine Learning

Birmingham City University

UNITED KINGDOM

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Dirk Draheim

ESTONIA

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Syed Attique Shah

Research Interests

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About

Recent Grants

Articles (20)

RiceNet: a robust ensemble attention mechanism for automated rice plant disease classification

Enhancing multimodal medical image analysis with Slice-Fusion: A novel fusion approach to address modality imbalance

Securing Smart City Ecosystems: A Taxonomy‐Based Review of Emerging Technologies and Frameworks for Scalable Collaborative Services

DatApollo: Orchestration of Serverless Functions for Scalable Data Mining

WFL: Edge-Enabled Weighted Federated Learning for Securing Heterogenous Networks

Advancing plant disease classification: A robust and generalized approach with transformer-fused convolution and Wasserstein domain adaptation

A smart-contract-based adaptive security governance architecture for smart city service interoperations

Multi-granularity prior networks for uncertainty-informed patient-specific quality assurance

A survey on blockchain technology in the maritime industry: Challenges and future perspectives

Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living

Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks

Smart contract-based security architecture for collaborative services in municipal smart cities

Towards SDN-based smart contract solution for IoT access control

A Fuzzy-Logic Approach for Optimized and Cost-Effective Early Warning System for Tsunami Detection

A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks

A Time-Efficient Approach Toward DDoS Attack Detection in IoT Network Using SDN

A Time-Efficient Approach Toward DDoS Attack Detection in IoT Network Using SDN

A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning

An Ultra-Scalable Blockchain Platform for Universal Asset Tokenization: Design and Implementation

An Ultra-Scalable Blockchain Platform for Universal Asset Tokenization: Design and Implementation

Collaborators (2)

Raja Muhammad Atif Azad

Dirk Draheim

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