Tanvir Fatima Naik Bukht
Papers
1
Total Citations
20
H-Index
1
About
Dr. Tanvir Fatima Naik Bukht is a leading researcher in computer vision and human-computer interaction, with a particular focus on advancing human behavior recognition systems. Her most cited work, "A Novel Human Interaction Framework Using Quadratic Discriminant Analysis with HMM" (2023, 20 citations), introduces a sophisticated hybrid model that combines Quadratic Discriminant Analysis with Hidden Markov Models to accurately recognize human-human interactions. This framework has significant implications for surveillance, social robotics, and interactive systems, enabling machines to interpret and respond to complex human behaviors with greater precision. Dr. Bukht’s research addresses critical challenges in understanding dyadic interactions, pushing the boundaries of how artificial intelligence perceives social dynamics. Her contributions are vital for developing more intuitive and responsive technologies in security, healthcare, and assistive robotics. With her innovative statistical and machine learning approaches, Dr. Bukht is shaping the future of context-aware computing, making her work essential reading for researchers in computer vision and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1