معرفی
Tanveer Hussain is a Lecturer in Computer Science at Sejong University, Seoul, South Korea. He holds a PhD in Software Convergence from Sejong University (2018–2022) and a BSc in Computer Science from Islamia College Peshawar (2013–2017). His research focuses on multimedia data analysis, video summarization, action/activity recognition, and scene understanding for autonomous driving. He has contributed to resource-constrained programming and fire/smoke detection systems, with over 58 publications in top venues like CVPRW, IEEE Transactions, and Pattern Recognition.
Research Interests:
- Multimodal video analysis
- Deep learning applications in surveillance
- Edge computing for IoT
- Computer vision for autonomous systems
Publications Trends: Recent work emphasizes hybrid neural architectures (Transformers/CNNs), anomaly detection in surveillance systems, and robust vision models for adverse environments. His 2024–2025 papers explore medical imaging fusion, weather-agnostic autonomous driving, and multimodal video retrieval frameworks.
Professional Activities: IEEE member, editorial board member of Journal of Artificial Intelligence and Systems, and review editor for Frontiers in Artificial Intelligence. Active in open-source contributions via GitHub (https://github.com/tanveer-hussain).
Labs/Teams: Associated with the Centre for Intelligent Visual Computing Research at Sejong University.
