Md. Hasanuzzaman
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Also affiliated: University of Dhaka (1970–2016)
Research Areas
Biography and Research Information
OverviewAI-generated summary
Md. Hasanuzzaman's research focuses on the application of machine learning techniques to various classification and recognition tasks. His work includes user authentication based on mouse movement data, utilizing Support Vector Machine (SVM) classifiers. He has also investigated gesture recognition, developing methods for both hand gestures using Principal Directional Features and full-body motion gestures in real-time 3D environments. More recently, his research has extended to medical imaging, specifically the classification of lung cancer from CT scans using Convolutional Neural Networks (CNNs) and edge detection techniques. He has also explored the use of humanoid robots for reinforcement-based, person-specific training for children with autism. His scholarship metrics include an h-index of 2, with 5 total publications and 9 total citations.
Metrics
- h-index: 2
- Publications: 5
- Citations: 9
Selected Publications
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Reinforcement-Based Person-Specific Training for Children with Autism Using a Humanoid Robot NAO (2026)
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Lung Cancer Classification Optimization using CNN and Edge Detector from CT Scan Images (2024)
Collaboration Network
Top Collaborators
- Reinforcement-Based Person-Specific Training for Children with Autism Using a Humanoid Robot NAO
- Reinforcement-Based Person-Specific Training for Children with Autism Using a Humanoid Robot NAO
- Reinforcement-Based Person-Specific Training for Children with Autism Using a Humanoid Robot NAO
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