Our Vision
The human brain is one of the most efficient distributed networks in the universe.
We explore the fundamental principles of networks across engineering
and neuroscience, and leverage them to build next-generation neuromorphic computing,
communication techonologies, and intelligent systems that go beyond today's AI paradigm.
Engineering Intelligence through Networks
We investigate communication and signal processing technologies and biological neural systems from a network perspective, and develop neuro-inspired computing and communications to transform the paradigm of AI and computing architectures.
Through the convergence of communication and network engineering with neuroscience, we pioneer neuro-inspired techonologies that redefine the future AI, computing, and communications
Research Areas
By bridging communication, neuroscience, and computing,
we design intelligent systems that learn, adapt, and connect - shaping a smareter future
Our laboratory brings together two complementary research teams.
Communication Team
We design and analyze communication and computing networks.
We develop technologies for reliable, connected, and intelligent systems.
BMI Team
We study the brain and nervous system as biological networks.
We analyze neural signals and develop brain-network models and neural interfaces.
Together, we connect engineering and neuroscience to create neuro-inspired computing, communications, and intelligent systems.
From connected machines to connected nervous systems,
we translate network intelligence into real-world technologies.
Mobility & Connected Systems
We develop communication, networking, and distributed intelligence technologies
for connected vehicles and future mobility systems.
Biomedical & Healthcare Systems
We translate neural signal processing and brain-network research into neurotechnologies and medical systems, including neural interfaces,
brain-machine interfaces, neuromodulation, and implantable devices.
DGIST, 세계적 AI 학회서 안티드론 기술 발표…아시아 유일 선정
멀리서도 새와 소형드론을 구분하는 기술 개발
대구경북과학기술원(DGIST)은 최지웅 전기전자컴퓨터공학과 교수와 오대건 지능형로봇연구부 선임연구원의 창업기업 '토리스(TORIS)' 연구진이 인공지능(AI) 분야 최고 학회 중 하나인 'CIKM 2025′의 인더스트리 데이 토크(Industry Day Talks) 발표자로 선정됐다고 14일 밝혔다.
DGIST, '2025년 글로컬랩 사업' 2개 연구소 동시 선정… 지역·글로벌 혁신 연구 거점 도약
2개 연구소 총 279억 원 규모 … 지역과 세계를 잇는 융합 연구 허브로 발돋움 기대
뇌공학융합연구센터의 핵심 목표는 '뉴로-레플리카(NR)'로 신경회로 디지털 트윈 기술 개발이다. 뉴로-레플리카는 실제 뇌 신경세포의 전기·생물학적 신호를 정밀한 AI 기반 컴퓨터 전기회로 모델로 가상 환경에 복제하는 기술이다.
Comm. Team
"Iterative Joint Detection and ORBGRAND for Massive Multi-User MIMO",
IEEE Wireless Communications Letters, 2026.
"Queue-Aware Optimization-Based Scheduling for mmWave Multi-User MIMO Indoor Small Cell,"
IEEE Communications Letters, vol. 29, no. 10, pp. 2303-2307, 2026.
"An Integrated Network-Computing Load Balancing Simulator for VEC-Assisted Autonomous Vehicles,"
IEEE Communications Magazine, vol. 63, no. 6, pp. 146-153, 2025.
BMI Team
"Stable olfactory receptor activation across odor complexity,"
iScience, vol. 28, no. 11, 2025.
We are always looking for passionate and creative students!
If you are interested in joining CSP Lab, please contact PI (jwchoi@dgist.ac.kr) or Lab Leader (jhm7874@dgist.ac.kr) with your CV and academic transcripts.