Tinoosh Mohsenin
Associate Professor

Google Scholar

Computer Science and Electrical Engineering Department
Information Systems Department (secondary)


Information Technology Engineering Building, ITE 323
University of Maryland, Baltimore County




410-455-3969 (fax)

Research Lab Website


Curriculum vitae (pdf)

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.