Masum Hasan
Scholar

Masum Hasan

Google Scholar ID: w6WO7OsAAAAJ
PhD Student, Computer Science, University of Rochester
Natural Language ProcessingMachine LearningHuman Computer InteractionSoftware Engineering
Citations & Impact
All-time
Citations
350
 
H-index
9
 
i10-index
9
 
Publications
19
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published several papers including 'Hi5🤚: Synthetic Data for Inclusive, Robust, Hand Pose Estimation' and others; participated in multiple projects like Text2App; gave talks on the future of education, privacy, security, ethics of generative AI; served as a reviewer and judge.
Research Experience
  • Areas of research include Anthropomorphism in LLMs, Agentic Workflow, Virtual Avatars, Human-AI Interactions, Synthetic Data for Computer Vision, AI for Education, ML for Code, ML for Healthcare.
Education
  • PhD Candidate in Computer Science, 5th year, supervised by Prof. Ehsan Hoque at the University of Rochester, NY, US.
Background
  • Research focuses on human-like virtual agents driven by large language models (LLMs) and their impact on human communication and training. Currently building SOPHIE, a new paradigm for learning difficult conversations with the help of AI.
Miscellany
  • Links: Google Scholar, ORCID, Twitter, GitHub, LinkedIn, Medium, goodreads, YouTube