Major research projects

• Areas: AI hardware accelerators, deep learning, neural networks
  • An Energy-Efficient, CMOS-based, and Scalable Mixed-Signal Deep Neural Network System with Reconfigurable Crossbar (NSF Funded)
  • Epileptic seizure prediction
  • Design of analog neural network accelerators
  • Compute-in-time deep neural network accelerators
  
  
• Areas: design of computer vision systems, automated video surveillance, deep learning, PTZ camera control and scheduling
  • Optimized activity detection in videos
  • Design of computer vision systems for optimizing the threat detection accuracy
  • Analytical modeling of deep learning accuracy in computer vision applications
  • Optimal control of PTZ cameras in automated video surveillance systems
  • Towards resource-efficient automated video surveillance systems (NSF Funded)


• Areas: multimedia systems, multimedia computing and networking, video streaming, video-on-demand
  • Efficient delivery of video-on-demand streams to heterogeneous receivers (NSF Funded)
  • Waiting-time prediction and QoS-based pricing for video streaming with advertisements
  • Waiting-time prediction in scalable on-demand video streaming


• Areas: High-performance computing
  • Reconfigurable high-performance cluster computing and medical engineering applications (NSF Funded)
  • Sun's center of excellence in open source computing and applications (Industry Funded)