JaKeoung Koo

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Assistant Professor

Gachon University

South Korea

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About

JaKeoung Koo is an Assistant Professor at Gachon University in South Korea. His research interests encompass machine learning applications in security systems, saliency detection, nanotechnology, and advanced monitoring technologies. Recent publications include work on enhancing SCADA security using generative adversarial networks and exploring AI integration in nanobiosensor technologies. He is also engaged in developing efficient solutions for deepfake detection and optimizing machine vision systems.

Recent Grants

Grant: Close

Development of single-photon Lidar imaging methods under challenging scenarios via explainable geometric deep learning

Open Date: 2023-06-01

Close Date: 2026-02-01

Articles (10)

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2025

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2023

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2023

Collaborators (3)

Ulrik Lund Olsen

Technical University of Denmark

DENMARK

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Imad RIDA

Associate Professor

Université de Technologie de Compiègne

FRANCE

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Henning Friis Poulsen

Technical University of Denmark

DENMARK

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JaKeoung Koo

Research Interests

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Contact this professor

About

Recent Grants

Articles (10)

Enhancing SCADA Security Using Generative Adversarial Network

Bilateral Feature Fusion with hexagonal attention for robust saliency detection under uncertain environments

Lightweight transformer-driven multi-scale trapezoidal attention network for saliency detection

Attention enhanced machine instinctive vision with human-inspired saliency detection

A comprehensive systematic literature review of ML in nanotechnology for sustainable development

A deep dive into AI integration and advanced nanobiosensor technologies for enhanced bacterial infection monitoring

Efficient Deepfake Detection via Layer-Frozen Assisted Dual Attention Network for Consumer Imaging Devices

Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset

Material classification using basis material decomposition from spectral X-ray CT

Sinogram Upsampling via Sub-Riemannian Diffusion with Adaptive Weighting

Collaborators (3)

Ulrik Lund Olsen

Imad RIDA

Henning Friis Poulsen

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