sunjun7559@gmail.com
BS Yonsei University
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Sunjun Hwang
Sunjun Hwang
7+ Publications | 12+ Projects | 10+ Presentations | 4 Awards
7+ Publications | 12+ Projects | 10+ Presentations | 4 Awards
Research Area:
Research Area:
When something is important enough, you do it even if the odds are not in your favor.
— Elon Musk
Explain
Explain
Fault-Tolerant Architecture and Performance Optimization
Exploring the structural foundations of quantum computers, with a focus on developing fault-tolerant systems and enhancing computational performance through architectural innovations.
Trustworthy and High-Performance AI Systems
Researching methods to ensure robustness, reliability, and performance efficiency in AI models. Emphasis on interpretability and safety in critical applications.
Precision-Driven AI Systems for Autonomous Mobility
Researching autonomous driving systems that integrate AI perception with hardware-level optimization. Exploring real-time sensor fusion, control logic, and safety-critical responsiveness through fine-tuned embedded programming and algorithmic co-design.
Adaptive Defense Architectures for Secure AI Systems
Researching AI security frameworks focused on adversarial resilience and privacy preservation. Exploring attack detection, model hardening, and cryptographic safeguards to ensure trust and robustness in intelligent systems.
News
News
2026
2026
Our Paper, "Functional Recovery of Deep Neural Networks via Logit-Based External Calibration" has been accepted to KICS, 16 January 2026
2025
2025
Our Paper, "Adversarial Robustness Analysis of Deep Learning-Based Automatic Modulation Classification in Wireless Communication" has been accepted to ICAIIC IEEE 2026, 21 December 2025
Our Paper, "Design and Implementation of an FPGA-Based Real-Time Voice Risk Detection System" has been accepted to KCS 2026, 15 December 2025
Our Paper, "Quantum-Secured Hybrid Communication System for Tactical Military Networks: Implementation and Performance Analysis of BB84 Protocol Based on Penny Lane" has been accepted to JKICS 2026, 01 December 2025
Our Paper, "Quantum Noise-based Adversarial Attack on Diffusion Models and Analysis of Defense Mechanisms" has been accepted to KIIT-JICS 2026, 08 November 2025
Our Paper, "Logit-based Knowledge Distillation for Heterogeneous Medical Image Federated Learning" has been accepted to KIIT Conference, 03 November 2025
Our Paper, "Post-hoc Defense with Knowledge Distillation in Federated Learning: An Empirical Study against FGSM and PGD Attacks" has been accepted to KICS Conference, 21 October 2025
Our Paper, "Classification of Pneumonia in Chest X-rays Using a Hybrid Neural Network Based on a 3-Qubit Quantum Circuit" has been accepted to KSII Conference, 23 September 2025
Our Paper, "PerformanceComparison of8Deep Learning Models forSeismicSignal Denoising " has been accepted to KIIT Conference, 05 September 2025
Our Paper, "A Study on Robustness Enhancement and Multi-Adversarial Attacks in Vision Transformer-based Image Classification Models" has been accepted to KIIT Conference, 16 May 2025
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