Rajesh Kumar

Oliver James

Sang-Seon Byun

Asad Mahmood

Hyunjun Jung

Muhammad Ahmad

Mohamed Yaseen. J

Je-Hyuk Jang

Jintaek Seong

Hwanchol Jang

Younghak Shin

Zafar Iqbal

Muhammad Asif Raza

Woongbi Lee

Sangjun Park

Seungchan Lee

Pavel Ni

Cheolsun Kim

Jusung Kang

Haeung Choi

Hyeongwon Jeon

Suje Lee

Jaegun Choi

Soogil Woo

Hyeongho Baek

Jeongmin Ryu

Seungyun Choe

Rohit Thakur

Jaewon Bang

Hyunjun Han

Jeong Park

Kiwon Yang

Giljun Jung

Changyun Lee

Hyoungsung Kim

Hayoung Park

SeungBeom Kang

Hyeong Ju, Kim

Yesuilen, Gulugdemberel

Jioh Lee

Youngin Choi

Khanh le tran tien

Amber Shafiq

Junho Lee

Le wang

Lin-lin Bi

Subhro Das

Kim Evgenii

Sunil Kumar

Shivam Sinha

Ashish Dewaker

Song Hoon

Dong Min Kim

Seongmin Cho

Seokju Kim

Jonghong Chae

Suwhoan Lim

Mirim Park

HuiSu Kim

Kimchann Chon

김민국

Minjun Kim

Istiaque Ahmed

Kihyun Yu

Hyungjun Kwon

Gyeongdeok Maeng

Youngseo Han

Surin Lee

Minho Yoon

Eungyeol Lee

Sumaya

Yongtae Lee

Nada Ismail

Maame Serwah Dumfeh

Jaehyeong We

Geonwoo Jo

Sungjin Lim

Soo-Jeong Kim

Cheng-Chun Chang

Xiaofei Song

Jianming Wu

Hamja Mahmood

Gayatri Mehta

Xinde Hu

Aykut Kalaycioglu

The Information Sensing, Processing, Controlling, and Networking (INFONET) Laboratory, originally established in 2002 at the University of Pittsburgh, USA, was relocated to the Gwangju Institute of Science and Technology (GIST) in 2009. The laboratory is part of the School of Electrical Engineering and Computer Science (EECS) & Artificial Intelligence (AI) Graduate School at GIST.

정보 감지, 처리, 제어 및 네트워킹 연구실 (INFONET)은 2002년 미국 피츠버그 대학교에 설립되었으며, 2009년 광주과학기술원(GIST)으로 이전했다. 현재 GIST 전기전자컴퓨터공학부(EECS) & 인공지능(AI) 대학원 소속이다.

Compressive Sensing Based Secure Storage and Transmission of Ultrasound Images

A New Framework for Sensor Networks via Compressive Sensing (Study)

Study on performance behavior of compressive sensing measurements for multiple sensor system

Circular sphere decoding: A low complexity detection for MIMO systems with general two-dimensional signal constellations

Per-sensor measurements behavior of compressive sensing system for multiple measurements

Restricted isometry random variables: probability distributions, RIC prediction and phase transition analysis for Gaussian encoders

On Eigenvalues of Wishart Matrix for Analysis of Compressive Sensing Systems

Efficient joint source–channel decoding of multi-state Markov sequences

Deep multi-patch hierarchical network-based visibility restoration model for autonomous vehicles

Necessary and sufficient conditions for recovery of sparse signals over finite fields

Automated risk management based software security vulnerabilities management

Dry Electrodes-based Fully Integrated EEG/fNIRS Hybrid Brain-monitoring System

Multimodal sparse representation-based classification scheme for RF fingerprinting

On the derivation of rip for random gaussian matrices and binary sparse signals

Exact outage probability of two nodes for cooperative networks using GF (4)

Fuzzified histogram equalization based gamma corrected cosine transformed energy redistribution for image enhancement

An information theoretic study for noisy compressed sensing with joint sparsity model-2

Performance increase by using a EEG sparse representation based classification method

A Self-Organizing Wireless Sensor Network for Industrial Monitoring

Efficient fine tuned trapezoidal fuzzy-based model for failure mode effect analysis risk prioritization

Evaluating the effect of various speckle reduction filters on ultrasound liver cancer images

블록체인개발 현황과 보안이슈 변화 동향

Complex Valued Sphere Decoding with Element-wise Selective Prescreening for General Two-dimensional Signal Constellations

Motor imagery based BCI classification via sparse representation of EEG signals

An Information-Theoretic Study for Noisy Multiple Measurement Vectors with Different Sensing Matrices

Design of portable functional near-infrared spectroscopy-based brain monitoring system

Fast L1-based sparse representation of EEG for motor imagery signal classification

Design of active dry electrodes and its evaluation for EEG acquisition

Modulated Wideband Converter 의 해 탐색을 위한저연산 Orthogonal Matching Pursuit

Predicting the pruning potential in sphere decoding for multiple-input multiple-output detection

Conditions on Recovery of Sparse Signals for Compressed Sensing over Finite Fields

Evaluation of Resolution Improvement Ability of a DSP Technique for Filter-Array-Based Spectrometers

39th Annual International Conference

계산 분광기 기반 약물 분류 시뮬레이션 연구

Enhancing zero-shot crypto sentiment with fine-tuned language model and prompt engineering

Number of compressed measurements needed for noisy distributed compressed sensing

Hilbert transform design based on fractional derivatives and swarm optimization

Technical Paper Sessions

Challenges and Solutions to Reimagining the Regulations for Blockchain

Compressive sensing spectroscopy using a residual convolutional neural network

Proofs for Number of Compressed Measurements Needed for Noisy Distributed Compressed Sensing

Human activity recognition using self-powered sensors based on multilayer bidirectional long short-term memory networks

Error Correction Code Verifiable Computation Consensus

Deep drug synergy prediction network using modified triangular mutation-based differential evolution

An information-theoretic study for joint sparsity pattern recovery with different sensing matrices

VRF-PoW: Proof of Work Consensus With Verifiable Random Function

Beyond traditional security: a review on information-theoretic secret key generation at wireless physical layer

불규칙 매체를 통한 컴퓨테이셔널 이미징의 최근 연구 동향

A Review Regarding Electronic Voting Schemes That Utilizes Blockchain For A Higher Security And Confidentiality

Ultrasound Imaging Super Resolution via Compressive Sensing

Evolutionary channel sharing algorithm for heterogeneous unlicensed networks

압축 센싱 신호 복구를 위한 AMP (Approximate Message Passing) 알고리즘 소개 및 성능 분석

Compressed Sensing over Galois Fields: Sensing Bounds and Recovery Algorithms

Time-variant proof-of-work using error-correction codes

A study on QoS improvements in low latency applications using Next Generation Networks and Blockchain

탈중앙거래소의 비영구적 손실 제거를 위한 딥러닝 기반 Dynamic AMM

Predicting the performance of cooperative wireless networking schemes with random network coding

Underwater acoustic channel model and variations due to changes in node and buoy positions

New trends in blockchain technology

Use of Priors for Improving Blind Transmitter Detection in Cognitive Radios

Signal Reconstruction of Ultrasound Images Using Compressive Sensing

Hybrid genetic firefly algorithm-based routing protocol for VANETs

Radio Frequency Fingerprinting 을 위한 비 학습 데이터 검출 및 재학습 시스템

Prediction of Survival from Disaster with Bigdata

Evaluation framework for reconstruction of messages in cooperative coding schemes of multiple-sources and multiple-relays

Spatially concatenated channel-network code for underwater wireless sensor networks

Legal query rag

Efficient interleaver design for MIMO-OFDM based communication systems on FPGA

Screening of COVID-19 suspected subjects using multi-crossover genetic algorithm based dense convolutional neural network

Dry electrode-based fully isolated EEG/fNIRS hybrid brain-monitoring system

상용 Walkie-Talkie 에 대한 천이상태 신호 기반 Radio Frequency Fingerprinting 시스템

Smart Contract-Based Checkpoint for Initial PoW Network Security

High-Resolution Image Reconstruction from Old Video Recordings via Sparse Representation

A blockchain for the collision avoidance and the recovery of crashed UAVS

6+: A Novel Approach for Building Extraction from a Medium Resolution Multi-Spectral Satellite. Sustainability 2022, 14, 1615

Issues and Resolution Efforts Pertaining to TV Whitespace Usage

Concise probability distributions of eigenvalues of real-valued Wishart matrices

Decentralized framework for medical images based on blockchain and inter planetary file system

Sorted Orthotope Sphere Decoding for MIMO Detection

Ethereum smart contract analysis tools: A systematic review

A study on mixing sequences in modulated wideband converters

Retinal fundus image enhancement using piecewise gamma corrected dominant orientation based histogram equalization

Correction: Jang, J.; Lee, H.-N. Profitable Double-Spending Attacks. Appl. Sci. 2020, 10, 8477

Performance Limits of the Measurements on Compressive Sensing for Multiple Sensor System

압축센싱 신호처리 기법을 적용한 항재밍/저피탐 통신 시스템

Overview of Compressed Sensing

격자구조 및 그래프 모델 기반 무인이동체 자율주행 시스템 연구

Ultrasound Imaging using Random Wave Transmission and Compressive Sensing

High-resolution ultrasound imaging using random interference

Concatenation of LDPC codes with Golden space-time block codes over the block fading MIMO channels: System design and performance analysis

Radio frequency public key generator for digital cryptographic application

Concurrent Food Localization and Recognition using Deep Convolution Neural Network

압축 센싱 기술과 신호간의 상관관계를 이용하여 전력소모를 줄인 무선 센서 네트워크 시스템의 설계

희소한 부분 대역 잡음 재밍 환경에서 OMP 를 이용한 항재밍 통신시스템과 대역확산 방식을 이용한 BCH 코드의 성능 비교

Introduction to compressed sensing

Exact outage probability and power allocation of two nodes in cooperative networks

Computation of an equilibrium in spectrum markets for cognitive radio networks

On the compressed measurements over finite fields: Sparse or dense sampling

Low-latency and high-reliability cooperative WSN for indoor industrial monitoring

Deployment strategy analysis for underwater cooperative wireless sensor networks

Formation of oxygen vacancies and Ti 3+ state in TiO 2 thin film and enhanced optical properties by air plasma treatment

Systematic review of security vulnerabilities in ethereum blockchain smart contract

Visible and UV photo-detection in ZnO nanostructured thin films via simple tuning of solution method

A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications

A simple and effective cross layer networking system for mobile ad hoc networks

Two-way feature extraction for speech emotion recognition using deep learning

Classification and analysis of pistachio species with pre-trained deep learning models

Synthesis of phase pure iron oxide polymorphs thin films and their enhanced magnetic properties

On the estimation of target spectrum for filter-array based spectrometers

Filters with random transmittance for improving resolution in filter-array-based spectrometers

Blockchain-based distributed patient-centric image management system

Sparse representation-based classification scheme for motor imagery-based brain–computer interface systems

Improving resolution of miniature spectrometers by exploiting sparse nature of signals

Dimensionality reduction in control and coordination of the human hand

Heung-No Lee

Professor

INFONET LAB

교수님 소개

이흥노

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

VRF-PoW: Proof of Work Consensus With Verifiable Random Function

Error Correction Code Verifiable Computation Consensus

Legal query rag

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

이흥노

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

VRF-PoW: Proof of Work Consensus With Verifiable Random Function

Error Correction Code Verifiable Computation Consensus

Legal query rag

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집