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プロフィール詳細
Shaikh Afnan B.に依頼
Bangladesh
Development Economics & Technology Governance Consultant | Policy Research, Econometrics & Data Analysis
プロフィール概要
専門分野
サービス
Writing
Technical Writing,
Business & Legal Writing,
Newswriting,
General Proofreading & Editing
Research
Meta-Research,
Feasibility Study,
Fact Checking,
Gap Analysis,
Gray Literature Search,
Scientific and Technical Research,
Systematic Literature Review,
Secondary Data Collection
Consulting
Business Strategy Consulting,
Digital Strategy Consulting,
Scientific and Technical Consulting,
Regulatory Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Analysis,
Algorithm Design-Non ML,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
職務経験
Data Science Intern
SAJIDA Foundation
4月 2026 - 9月 2026
Expert Contributor
UK Government Metascience Unit
1月 2026 - 1月 2026
lecturer
Royal University of Dhaka
1月 2021 - 4月 2024
Software Engineer (Data Science & Data Analysis)
Neurosoft Technologies
2月 2017 - 12月 2020
学歴
MSc in Computing Science (School of Computing Science)
University of Glasgow
- 現在 ![]()
MS Economics
North South University
1月 2026 - 現在
認定資格
出版物
JOURNAL ARTICLE
Shaikh Afnan Birahim (2026). The Afnan Equilibrium: A Coupled Welfare Model for Balancing Technology, Resilience, and Externalities . Ecological Economics.
Shaikh Afnan Birahim, Abdullah Siddique Mohammad Sayeed, Md Shafiq Ullah, Yamina Islam, Avijit Paul, Mohammad Asif Hasan, Mominul Ahsan, Marcin Kowalski (2026). Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN . Scientific Reports.
Shaikh Afnan Birahim, Meftahul Jannat, Mohammad Asif Hasan, Tonmoy Roy, Lubna Sultana, Hasan Sarker, Samia Fairuz, Hanaa A. Abdallah (2025). Lung Segmentation with Lightweight Convolutional Attention Residual U-Net . Diagnostics.
(2025). Lung Segmentation with Lightweight Convolutional Attention Residual U-Net . DIAGNOSTICS.
(2025). Contesting the algorithm: advancing a right to challenge AI decisions under the GDPR for algorithmic fairness . TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY.
(2025). Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach . IEEE ACCESS.
(2025). Zero-shot segmentation meets EfficientNetB7-MHA: an explainable deep learning framework for real-time plant disease detection . ENGINEERING RESEARCH EXPRESS.