• Developed a real-time video crowdsourcing application and included a feature that can control the quality of videos dynamically based on relative importance of the videos – especially when the networks are oversubscribed
• Presented project demo at the US Ignite Conference 2017 at Austin, TX

Developed a real-time video crowdsourcing application and included a feature that can control the quality of videos dynamically based on relative importance of the videos – especially when the networks are oversubscribed Presented project demo at the US Ignite Conference 2017 at Austin, TX

• Funded by NSF, developed novel fault tolerant technique using SDN and Buffering approach for real-time video streaming and provided uninterrupted video streaming service from the video source to client
• Achieved minimal latency (less than 2 secs) and recovered lost video frames