معرفی
Ritwik Banerjee serves as a Research Assistant Professor in the Department of Computer Science at Stony Brook University, where he conducts cutting-edge research at the intersection of natural language processing, computational linguistics, and healthcare informatics with applications in deception detection and misinformation analysis.
His educational background includes:
- PhD in Computer Science from Stony Brook University, focusing on stylometry, biomedical language extraction, and healthcare informatics
- M.Sc. in Computer Science from Chennai Mathematical Institute, India
- B.Sc. in Mathematics and Computer Science from Chennai Mathematical Institute, India
Banerjee's research centers on statistical NLP and computational linguistics with emphasis on linguistic semantics and implicit knowledge extraction from natural language. His work spans stylometric analysis for authorship verification, relation extraction in biomedical contexts, and keystroke dynamics for detecting deceptive intent in digital communications, demonstrating exceptional versatility across theoretical and applied domains.
Analysis of his 15 most recent publications (2021-2025) reveals two dominant research thrusts: healthcare NLP applications (including kidney disease diagnosis from ultrasound reports and medication event extraction from clinical text) and misinformation detection systems (particularly for pandemic-related content on social media). His methodological innovations frequently combine deep learning architectures with domain-specific ontologies and pragmatic language understanding techniques to address complex real-world challenges.
His notable recognition includes:
- Computer Science Chairman Fellowship (2009-2010)
While his publication record demonstrates significant research impact, publicly available information does not specify graduate student advising activities or externally funded research grants. No dedicated laboratory or research team structure is referenced in the provided materials, though his work clearly intersects with Stony Brook's broader AI and healthcare informatics initiatives.
