Research

Recent Research News / Articles

Tracking Monarch Butterfly Migration with the World’s Smallest Computer

Hun-Seok Kim receives NSF CAREER Award to Facilitate IoT Connectivity

Creating a place where kids of all abilities can play together

New Chips to Help Robots Find Their Way Around

SLAM-ming good hardware for drone navigation

A new hybrid chip that can change its own wiring

Using software to beat Moore’s Law: $9.5M to design the ‘reconfigurable computer’

Hun-Seok Kim receives DARPA Young Faculty Award to advance research in IoT networks

M3 Monarch Migration Challenge

iGYM: Augmented Reality (AR) based Inclusive Play for People of All Abilities

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”
  • 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
back-channel
  • Ultra low-power, non-line-of-sight RF localization for energy-autonomous wireless sensor nodes
localization
  • Low-power computer vision and machine learning hardware accelerators for mobile platforms
computervision
  • Ultra-low power near-field / far-field wireless communication for millimeter-scale sensor nodes
M3_stack
  • Low power, software defined radio architecture for IoT communications
IoT_SDR
  • Ultra-low power machine learning deep neural network systems for event detection and classification
NZero