Prof. Hun-Seok Kim received an NSF CAREER award to support research in the Internet of Things (IoT) of the future, where massively deployed heterogeneous IoT devices are seamlessly interconnected with software defined radios and machine-learning based signal processing.
The research is expected to expedite and enable applications such as energy-harvesting and wirelessly-connected smart-dust devices, autonomous aerial and ground vehicles with ultra-reliable low latency communications, and intelligent automated factories with deep learning-assisted collaborative networks in highly congested channels.
Enabling energy-efficient, ubiquitous connectivity is a critical task for the IoT. This project targets an orders-of-magnitude reduction in power consumption and complexity for wireless connectivity to realize ultra-low cost, ultra-small, disposable, and ubiquitous wireless Internet-of-Things devices.
Having as a goal completely energy-autonomous Internet-of-Things platforms, this program investigates new ultra-low power wireless connectivity solutions assisted by novel digital signal processor architectures optimized for software-defined radio processing and machine learning.
The interdisciplinary nature of the research spans a wide range of topics including digital communication, low power integrated circuits, machine learning, and processor architectures to explore cross-layer approaches that are indispensable to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.
Kim’s broad research interests include: 1) Theory, System, Algorithm and Hardware Architecture for Digital Communication, Signal Processing, and Embedded Systems; 2) Internet of Things, 5G MIMO-OFDM, High-performance wireless communication systems, Ultra-low power wireless communication systems; 3) Software-Defined Radio, Computer Vision, Image Processing, Machine Learning, Software-Defined Networking, and 4) Integrated Circuits and VLSI architecture for Ultra-Low Power / Ultra-High Performance Systems.
He is a recipient of the 2018 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award, and has 19 U.S. patents.