Research

Research Interests

Theory, System, Algorithm and Hardware Architecture for Digital Communication, Deep Learning, Signal Processing, and Embedded Systems
IoT; 5G MIMO-OFDM; High performance wireless communication systems; Ultra-low power wireless communication systems; Ultra-reliable low latency communication;
Software-Defined Radio; Deep Neural Networks, Computer Vision; Image/audio Processing; Software-Defined Network;
Integrated Circuits and VLSI architecture for Ultra-Low Power / Ultra High Performance Systems

Research Grants & Awards

Principal Investigator, Ford, “Device Authentication Using the Unique Characteristics of the Transmitted Signal”
Co-Principal Investigator, NSF, “IIBR Multidisciplinary: mSAIL (Michigan Small Animal Integrated Logger): a milligram-scale, multi-modal sensor and analytics monitoring platform”
Co-Principal Investigator, Arm, “Context-Aware Multi-Sensor Fusion System and SoC”
Principal Investigator, Samsung, “Machine Learning Algorithms and Architectures for Autonomous Robotics Sensor Fusion”
Co-Principal Investigator, Sony Electronics, “Ultra Low Power intelligent imaging sensors for the Internet of Things”
Co-Principal Investigator, Facebook, “Context-Aware Multi-Sensor Fusion System and SoC”
Co-Principal Investigator, National Geographic Society, “M3 Monarch Migration Study”
Principal Investigator, NSF CAREER, “CAREER: Heterogeneous Non-orthogonal Wireless Communications Enhanced by Unified SDR – Deep Learning Architectures”
Co-Principal Investigator, NSF, “Elucidating the relationship between motor cortex neural firing rates and dextrous finger movement EMG for use in brain-computer interfaces”
Principal Investigator, DARPA Young Faculty Award (YFA) 2018, “Hyper-Dimensional Modulation for Robust Low-Latency Low-Power IoT Networks”
Co-Principal Investigator, DARPA – Electronics Resurgence Initiative – DSSoC, “Domain-Focused Advanced Software-Reconfigurable Heterogeneous System on Chip (DASH-SoC)”
Co-Principal Investigator, DARPA – Electronics Resurgence Initiative – SDH, “Transmuter: A Reconfigurable Computer”
Co-Principal Investigator, NIH BRAIN R21, “100μm Scale Single Unit Neural Recording Probe Using IR-Based Powering and Communication”
Co-Principal Investigator, University of Michigan Exercise & Sport Science Initiative (ESSI), “Projection Based Augmented Reality System for Inclusive Recreational Sports and Performance Tracking”
Co-Principal Investigator, Army Research Office, “Intelligent collaborative wireless networks enabled by heterogeneous software-defined radios”
Principal Investigator, NIST Public Safety Innovation Accelerator Research , “Decimeter Accurate, Long Range Non-Line-of-Sight RF Localization Solution for Public Safety Applications”
Principal Investigator, Samsung Global Research Outreach, “Machine Learning Algorithms and Architectures for Autonomous Robotics Sensor Fusion”
Principal Investigator, Samsung Global Research Outreach, “Energy-Optimized Wireless Communication for Power-Constrained Millimeter-Scale IoT Platforms”
Principal Investigator, Samsung Global Research Outreach, “An ultra-low power, 360-degrees immersive image processor for energy-constrained mobile platforms”
Co-Principal Investigator, National Science Foundation ECCS #1507192, “Back-Channel Communication Embedded in Standard Compliant Wireless Packets”.
Co-Principal Investigator, DARPA BAA-15-14, “Near Zero-Power, Continuous Acoustic Sensing Microsystem using Active Integrated Circuits and Digital Signal Processing”.
Co-Principal Investigator, Intel, “Ultra-Low Power Versatile Wireless Communication Solutions for IoT”.

On-Going Projects

OFDM-guided Deep Joint Source ChannelCoding for Wireless Multipath Fading Channels

HTNN: Deep Learning in Heterogeneous TransformDomains with Sparse-Orthogonal Weights

Signal Processing and Wireless Communication via Machine Learning and Deep Neural Networks

Ultra-low power WiFi / Bluetooth Low Energy (BLE) back-channel communication systems

Ultra low-power, non-line-of-sight RF localization for energy-autonomous wireless sensor nodes

Low-power computer vision and machine learning hardware accelerators for mobile platforms

Ultra-low power near-field / far-field wireless communication for millimeter-scale sensor nodes

Low power, software defined radio architecture for IoT communications

Ultra-low power machine learning deep neural network systems for event detection and classification