Haroon Syed Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Haroon Syed's research has explored the application of machine learning and advanced computational techniques across various domains. His recent work includes developing robust deepfake detection using Long Short-Term Memory networks, modeling climate change with machine learning and big data, and analyzing uplift modeling and reinforcement learning for AI-driven decision optimization. Syed has also investigated the transformation of causal inference through machine learning, examining its advancements, applications, and future directions.
His scholarship metrics include an h-index of 4, with a total of 10 publications and 58 citations. Syed's work demonstrates a focus on leveraging computational methods to address complex problems, from digital authentication and environmental modeling to decision science and inferential statistics. His recent activity indicates ongoing engagement with these research areas.
Metrics
- h-index: 1
- Publications: 3
- Citations: 3
Selected Publications
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A Comparative Analysis of Uplift Modeling and Reinforcement Learning in AI-Driven Decision Optimization (2025)
Collaboration Network
Top Collaborators
- Robust deepfake detection using Long Short-Term Memory networks for video authentication
- Robust deepfake detection using Long Short-Term Memory networks for video authentication
- Robust deepfake detection using Long Short-Term Memory networks for video authentication
- Climate Change Modeling Using Machine Learning and Big Data
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