Muhammad Hassam Aslam khan
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Also affiliated: Indiana University Indianapolis (2026)
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Biography and Research Information
OverviewAI-generated summary
Muhammad Hassam Aslam Khan is a researcher focusing on the application of machine learning, deep learning, and large language models to analyze online discourse and behavior. His work investigates sentiment analysis, trust assessment, and the detection of empathy and metaphors in digital communication. Khan has contributed to projects such as AI-powered resume generation, measuring therapist empathy in online counseling, and ranking mobile applications based on trust and sentiment. He also has experience in building data pipelines, managing research datasets, and developing AI-enabled systems for social analytics and applied computing. His research has explored performance comparisons of programming languages for parallel scaling.
Metrics
- h-index: 1
- Publications: 6
- Citations: 2
Positions
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Data Engineer 2025–2028COSMOS Computer Science ORCID
Selected Publications
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Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures (2026)
Collaboration Network
Top Collaborators
- Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures
- Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures
- Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures
- Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures
- Investigating Parallel Scaling Bottlenecks Across Rust, Julia, Haskell, and Python: Workload–Runtime Signatures
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