VT News covered our best paper award from ASONAM 2022.
Sanghani Center research takes new approach to analyze depression, anxiety from Reddit posts to provide better care, lower suicide rate
VT News
•
•
1 min readProfessional Summary
I am an Assistant Professor in the Computer Science Department at Kuwait University. My research focuses on developing innovative models with practical applications in social media analytics, the study of low-resource languages, and public health initiatives. My work integrates my extensive experience in various research roles with my interest in Natural Language Processing, Machine Learning, and Deep Learning. I am dedicated to advancing these fields by creating robust algorithms that effectively navigate and interpret the complexities of human language and behavior.
Education
PhD in Computer Science and Applications
Virginia Tech
MSc in Computer Science
George Washington University
BSc in Computer Science
Gulf University for Science and Technology
Interests
Artificial Intelligence
Computational Linguistics
Behavioral Modeling
📚 My Research
I’m an Assistant Professor of Computer Science at Kuwait University. My research focuses on developing innovative models with practical applications in social media analytics, behavioral modeling, and public health.
I apply a range of qualitative and quantitative methods to comprehensively investigate the role of graph-based models and Deep Learning in understanding and interpreting the complexities of human language and online behavior, with a specific interest in low-resource languages.
Please reach out to collaborate 😃
Featured Publications
Read more
NYT coverage of our "Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate" paper.
Russian Trolls Used Vaccine Debate to Sow Discord, Study Finds.
NYT
•
•
1 min readRecent Publications
(2025).
Unveiling the Ethical Dimension of Urban Digital Twins: A Framework for Responsible and Sustainable Urban Planning.
Journal of Planning Education and Research.
(2024).
Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT Networks.
2024 IEEE International Conference on Big Data (BigData).
(2024).
Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction.
Virginia Tech.
(2024).
Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction.
International Conference on Advances in Social Networks Analysis and Mining.
(2024).
Enhancing School Success Prediction with FRC and Merged GNN.
International Conference on Advances in Social Networks Analysis and Mining.
💼 Service
- Program Committee Member IEEE Big Data MLBD 2024, MLBD 2025
- Session Co-Chair IEEE Big Data 2024 AI4Science, ASONAM 2025 PhD Track Program Committee, ASONAM 2026 PhD Track Program Committee
- Conference Reviewer EMNLP (2021–2024), IEEE Big Data (2021–2025), ASONAM (2023–2026), JCDL 2025
- Journal Reviewer ACM TALLIP, ACM TAKDD, Frontiers in Big Data, Frontiers in AI
- Volunteer PAKDD 2021 Virtual Conference Coordination
📖 Teaching
- 📗 Discrete Math
- 📘 Data Mining
- 📘 Artificial intelligence
- 📘 Information Visualization
- 📗 Introduction to Python