Scholar
Shafkat Farabi
Google Scholar ID: x0SCrx4AAAAJ
PhD Student, Virginia Tech
Citations & Impact
Citations
36
H-index
3
i10-index
2
Publications
4
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'Street-Level AI: Are Large Language Models Ready for Real-World Judgments?' accepted for publication at AIES 2025; co-authored paper 'MentalHelp: A Multi-Task Dataset for Mental Health in Social Media' accepted at LREC-COLING 2024; paper 'A Survey of Multimodal Sarcasm Detection' accepted for publication at IJCAI-2024 Survey Track; undergraduate thesis 'Improving Action Quality Assessment Using Weighted Aggregation' accepted for publication at IBPRIA 2022; received 'Center For Human-Machine Partnership' Fellowship.
Research Experience
- Worked on a project to match mediators to cases in the Kenyan Judiciary; previously worked on using LLMs for sarcasm detection and sentiment analysis from social media; served as a Lecturer in the IUT CS Department.
Education
- Bachelor's in Computer Science from IUT, Bangladesh (with honors); Master's in Computer Science from George Mason University, GPA 3.97; currently pursuing a PhD at Virginia Tech's Institute for Advanced Computing under the supervision of Dr. Sanmay Das.
Background
- From Dhaka, Bangladesh, with a primary focus on AI and Machine Learning. Current research focuses on using multi-agent systems for scarce resource allocation, particularly ensuring fairness and efficiency.
Miscellany
- Hobbies and interests not mentioned
