AR/VR

We leverage AR and VR technologies to revolutionize user experiences and interactions in various domains, including education, healthcare, and intelligent environments. Our research integrates AR/VR with advanced networking techniques to ensure seamless and immersive experiences, even in resource-constrained environments. We also explore applying AI-driven models within AR/VR systems to enhance real-time interaction, content generation, and adaptive learning. We aim to create more intuitive and impactful AR/VR applications that bridge the gap between the physical and digital worlds by addressing challenges like latency, bandwidth optimization, and user-centric design.


Publications:

  • M. Chowdhury, M. Shahjalal, S. Ahmed, Y. Jang. “6G wireless communication: Applications, requirements, technologies, and research directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957-975, July 2020.
  • S. Ahmed, S. Sabuj, and A. Khokhar. “Adaptive Context-Aware Multi-Path Transmission Control for VR/AR Content: A Deep Reinforcement Learning Approach,” submitted to 2024 IEEE Transactions on Network and Service Management.