Md Golam Rabby Shuvo

Md Golam Rabby Shuvo serves as a Research Fellow at Ulster University within the Faculty of Computing, Engineering and the Built Environment, specifically affiliated with the School of Computing, Engineering and Intelligent Systems and Computer Science and Informatics research group. His work bridges computer vision, tactile sensing, and machine learning for haptic feedback applications.

Research interests include:

• Haptic Feedback Systems
• Visio-Tactile Sensor Integration
• Deep Learning Architectures (VGG16, Inception V3)
• Material Classification Algorithms
• Human-Computer Interaction in Virtual Environments
• Energy Forecasting Models

Shuvo's publications reveal a clear trajectory toward multimodal sensor fusion, combining visual and tactile data through convolutional neural networks to generate realistic haptic feedback. His 2025 work advances material classification for virtual reality applications, while his 2021 research demonstrates machine learning's utility in industrial energy optimization, showing cross-domain applicability of his core methodologies.

Scientific Awards: No awards or fellowships were documented in available sources.

Advising and Grants: Public records contain no information regarding supervised students or secured research funding.