Shahan Ahmed
Computational Social Science · Natural Language Processing · Healthcare Analytics
I am a researcher in computational social science, applying natural language processing and adversarial machine learning to questions of healthcare equity and public health analytics.
Research Interests
- •Computational Social Science
- •Natural Language Processing & Text Classification
- •Adversarial Machine Learning & Robustness
- •Healthcare & Public Health Analytics
- •Data Infrastructure for Social Research
Research
Social Engineering & Adversarial Obfuscation in BEC Attacks
A character-level classifier flagging Business Email Compromise attempts obfuscated with Unicode homoglyphs and zero-width characters.
[View results]Robustness of Phishing Detection Under Adversarial Unicode Obfuscation
An evaluation of a TF-IDF and logistic regression classifier's robustness to adversarially obfuscated phishing emails at test time.
[View results]OCR Text Classification: DistilBERT vs Longformer-DeBERTa
A comparison of transformer architectures on OCR-extracted document classification by F1 score, latency, and memory footprint.
[View results]Publications & Presentations
Ahmed, S. et al. (2023). "Synthesis and characterization study." Inorganic Chemistry Communications.
Ahmed, S. et al. (2022). "Modeling and simulation of solar cells." Optics & Laser Technology.
Ahmed, S. "Federated learning + synthetic data for vaccination equity research."
"DHS Vaccination Coverage Analysis." 2024 MSU Student Research Symposium: analysis of Demographic and Health Surveys data to identify vaccination coverage gaps across countries.