My research focuses on designing highly accurate and high-performance computing methods for emerging fields in artificial intelligence, robotics and autonomous navigation, smart health monitoring, and Cyber Physical Systems. My team has developed efficient computing methods through cross-layer design approaches in algorithms, architecture, hardware and system integration which result in tiny and energy efficient wearable/mobile computing devices. This can revolutionize several fields including healthcare, transportation, autonomous navigation, security, surveillance, and public utilities. My Active Research Projects include:

• Energy Efficient Autonomous Systems and Robotics
• Tiny Scalable Deep Neural Network Accelerator
• Wearable Multi-Physiological Machine Learning for IoT Health
• Domain specific programmable many-core for wearable and communication platforms
• Algorithm and architecture enhancements
  • Compressive sensing reconstructon
  • Low density parity check codes (LDPC) error correction
• Application mapping/software development on many-core architectures
• FPGA and VLSI design of ASICs and reconfigurable architectures
• Embedded CPU and GPU application mapping and analysis
• Single-chip solutions targeted for low-power embedded systems through a co-design of programmable cores and application-specific processors.