معرفی
Dr. Anjan Dutta is a Senior Lecturer in Artificial Intelligence at the University of Surrey, UK. He holds a PhD in Computer Science from the Autonomous University of Barcelona (UAB), awarded with Excellent Cum Laude and the Extraordinary PhD Thesis Award (2013-14). His research focuses on computer vision and machine learning, particularly deep multi-modal embedding, zero-shot learning, and graph neural networks.
Education:
- PhD in Computer Science, UAB (2014)
- MSc in Computer Vision & AI, UAB (2010)
- MCA, Maulana Abul Kalam Azad University of Technology (2009)
- BSc Mathematics (Honours), University of Calcutta (2006)
Research Interests:
- Deep Learning for Vision Tasks
- Zero-Shot and Few-Shot Learning
- Graph Neural Networks
- Multi-modal Embedding Techniques
- Structured Representation Learning
Recent Research Trends: His work emphasizes scalable and interpretable AI systems, with notable contributions in object counting, bias reduction in neural networks, and sketch-based retrieval. Publications span top-tier venues, reflecting interdisciplinary innovation in vision and learning.
Awards & Honors:
- Extraordinary PhD Thesis Award (UAB, 2013-14)
- Excellent Cum Laude PhD Award (UAB, 2014)
Labs & Affiliations: Active in the Surrey Institute for People-Centred AI (PAI) and the Centre for Vision, Speech and Signal Processing (CVSSP), contributing to cross-disciplinary AI research.
