Sunjun Hwang
황선준 黃善俊
Undergraduate Researcher @ Yonsei University | Quantum Computing · AI Security · Robust ML
IEEE / KICS / KIIT Conference Author · FPGA & Quantum-ML Systems
About Me
I am an undergraduate researcher in Computer Science at Yonsei University, primarily focused on quantum computing and AI security. My research explores adversarial robustness, quantum-inspired learning, and hardware-aware AI systems, spanning both theoretical analysis and system-level implementation. I aim to develop secure and efficient AI models by bridging quantum mechanics, machine learning, and real-world deployment constraints.
Research Interests View Details
Quantum Computing
Quantum algorithms, NISQ-era circuits, variational quantum circuits (VQC)
AI Security
Adversarial robustness, federated learning security, post-hoc defense
AI Semiconductors
AI accelerators, neuromorphic computing
Quantum–ML Integration
Quantum machine learning, hybrid quantum-classical systems
Carla Autonomous Driving
High-fidelity driving simulation, sensor configuration, scenario generation
Education
Sep 2026 - Feb 2027
Language Study Abroad — ILSC Vancouver
ILSC Language Schools, Vancouver, Canada
Intensive English language program focusing on academic English, professional communication, and cross-cultural collaboration. Enhancing global communication skills for international research and academic engagement.
Mar 2022 - Aug 2026
Bachelor of Science
Yonsei University, School of Computer Science
Relevant coursework:
Math & Science: Calculus (I, II), General Physics (I, II), General Chemistry (I, II), Discrete Mathematics, Linear Algebra, Numerical Partial Differential Equations, Graph Theory
CS Core: Computational Thinking, Computer Programming, Java Programming, Data Structures, Algorithms, Object Oriented Programming, System Programming, Operating System, Microprocessor, Software Engineering, Opensource and Linux Systems
Data & Signal: Database, Data Science, Datamining, Signal and Systems, Modeling and Simulation
AI & Security: Artificial Intelligence, Natural Language Processing, AI Mathematics, AI Security, Information Security Applications, Cryptography
Quantum: Quantum Mechanics (I, II)
Math & Science: Calculus (I, II), General Physics (I, II), General Chemistry (I, II), Discrete Mathematics, Linear Algebra, Numerical Partial Differential Equations, Graph Theory
CS Core: Computational Thinking, Computer Programming, Java Programming, Data Structures, Algorithms, Object Oriented Programming, System Programming, Operating System, Microprocessor, Software Engineering, Opensource and Linux Systems
Data & Signal: Database, Data Science, Datamining, Signal and Systems, Modeling and Simulation
AI & Security: Artificial Intelligence, Natural Language Processing, AI Mathematics, AI Security, Information Security Applications, Cryptography
Quantum: Quantum Mechanics (I, II)
GPA: 4.03 / 4.5
Mar 2018 - Feb 2021
Cheongdam High School
Seoul, Republic of Korea
Coursework (Natural Sciences track): Physics I & II, Chemistry I & II, Convergence Science, Calculus, Probability & Statistics, Geometry, Language & Media, Literature, English Reading & Writing, Classical Chinese I, Japanese I, Social Issues Inquiry, Essay Writing / Logical Argument.
Leadership: Class President for all three years (2018–2020). Computer Club "Shift" — 1st-year Deputy (2018); elected Club President (2019).
Leadership: Class President for all three years (2018–2020). Computer Club "Shift" — 1st-year Deputy (2018); elected Club President (2019).
Mar 2015 - Feb 2018
Bongeun Middle School
Seoul, Republic of Korea
Coursework: Korean, Mathematics, English, Science, Technology & Home Economics, History, Social Studies, Ethics, Arts (Music/Art), Physical Education, Chinese (2nd foreign language), Free-Semester electives (Humanities/Social Studies, Arts/PE).
Activities: Robot Assembly Engineering Club (Grade 1), Topiary Club (Grade 2), Environmental Science Exploration Club & Environmental Practice Club (Grade 3). Early hands-on exposure to scientific experimentation, robotics, and environmental practice.
Activities: Robot Assembly Engineering Club (Grade 1), Topiary Club (Grade 2), Environmental Science Exploration Club & Environmental Practice Club (Grade 3). Early hands-on exposure to scientific experimentation, robotics, and environmental practice.
Mar 2009 - Feb 2015
Eonbuk Elementary School
Seoul, Republic of Korea
Reading Award (다독상) — 4 consecutive years (Grades 1–4); English Reading Silver Award; Student Research Presentation Silver Award (Grade 5).
Experience
Dec 2024 - Jun 2026
Undergraduate Researcher
RAISE Lab, Yonsei University
Research Assistant in Reliable Artificial Intelligence and System Engineering & Quantum Computing.
Focused on innovative applications of reliable AI and quantum computing to enhance computational reliability and efficiency.
Collaborated with researchers to design algorithms addressing AI reliability, interpretability, and system optimization.
Conducted experiments integrating reliability frameworks into AI models, improving system robustness and trustworthiness.
Engaged in interdisciplinary projects combining quantum mechanics principles with computational engineering approaches.
Presented findings at lab seminars, contributing to discussions on advancing reliable computing technologies.
Mar 2025 - Jan 2026
CTO / AI & Web Developer
Youth Lab
Led technical strategy and development as CTO. Built and deployed AI-powered features and full-stack web applications.
Managed the development pipeline, coordinated cross-functional collaboration, and made key architectural decisions for product development.
Jan 2026 - Feb 2026
Technical Advisor / AI Developer
Futurevel
Provided technical consulting on AI integration and system architecture.
Advised on machine learning model deployment strategies and contributed to AI feature development for company products.
Jan 2025 - Feb 2025, Jan 2026 - Feb 2026
AI Developer & Team Leader — LG Aimers
LG AI Research Institute
Participated in two cohorts (6th and 8th) of the LG Aimers program.
Led a team to develop AI models for real-world data analysis, including infertility patient data for early detection and LLM compression (EXAONE).
Gained hands-on experience in end-to-end ML pipelines from data preprocessing to model evaluation.
Sep 2024 - Jun 2026
Teaching Assistant & Tutor
Yonsei University
Assisted professors and supported students across multiple courses over four semesters:
Java Programming (Fall 2024), Calculus & Vector Analysis I (Spring 2025), Engineering Mathematics I (Spring 2025), Artificial Intelligence (Fall 2025), Artificial Intelligence Mathematics (Spring 2026).
Conducted tutoring sessions, graded assignments, and provided one-on-one guidance to help students deepen their understanding.
Java Programming (Fall 2024), Calculus & Vector Analysis I (Spring 2025), Engineering Mathematics I (Spring 2025), Artificial Intelligence (Fall 2025), Artificial Intelligence Mathematics (Spring 2026).
Conducted tutoring sessions, graded assignments, and provided one-on-one guidance to help students deepen their understanding.
Publications View All
ConferenceAdaFed: Adaptive Selective Aggregation for Heterogeneous Federated Learning in Autonomous Driving
ICUFN 2026 — International Conference on Ubiquitous and Future Networks (Accepted, May 2026)
This paper proposes AdaFed, an adaptive selective aggregation strategy for federated learning across heterogeneous client models in autonomous driving environments. The method addresses architecture-mismatch and client drift by selectively aggregating compatible model components to improve convergence and downstream driving performance.
ConferenceFunctional Recovery of Deep Neural Networks via Logit-Based External Calibration
KICS 2026 (Accepted, Jan 16, 2026)
This paper presents techniques for recovering software errors and quantitatively analyzes the extent to which recovery is possible.
ConferenceAdversarial Robustness Analysis of Deep Learning-Based Automatic Modulation Classification in Wireless Communication
IEEE ICAIIC 2026 (Accepted, Dec 21, 2025)
This paper investigates the adversarial robustness of deep learning–based automatic modulation classification systems in wireless communication environments. Various attack scenarios and robustness evaluation metrics are analyzed to assess model reliability under adversarial perturbations.
ConferenceDesign and Implementation of an FPGA-Based Real-Time Voice Risk Detection System
KCS 2026 (Accepted, Dec 15, 2025)
This work presents the design and implementation of a real-time voice risk detection system on FPGA hardware, focusing on low-latency signal processing and robust emergency voice and scream detection in practical environments.
JournalQuantum-Secured Hybrid Communication System for Tactical Military Networks: Implementation and Performance Analysis of BB84 Protocol Based on PennyLane
Journal of the Korean Institute of Communications and Information Sciences (JKICS), 2026 (Accepted, Dec 01, 2025)
This paper proposes a quantum-secured hybrid communication system for tactical military networks. The BB84 quantum key distribution protocol is implemented using PennyLane, and its performance is analyzed in realistic communication scenarios.
JournalQuantum Noise-based Adversarial Attack on Diffusion Models and Analysis of Defense Mechanisms
KIIT-JICS 2026 (Accepted, Nov 2025)
This study explores a novel adversarial attack framework on diffusion models using quantum noise characteristics and evaluates defense mechanisms against such quantum-inspired perturbations.
ConferenceLogit-based Knowledge Distillation for Heterogeneous Medical Image Federated Learning
Proceedings of KIIT Conference, 2025 (Accepted, Nov 03, 2025)
This paper proposes a logit-based knowledge distillation approach to improve performance in heterogeneous federated learning environments for medical image analysis while preserving data privacy.
ConferencePost-hoc Defense with Knowledge Distillation in Federated Learning: An Empirical Study against FGSM and PGD Attacks
Proceedings of KICS Conference, 2025 (Accepted, Oct 21, 2025)
This work presents a post-hoc defense strategy using knowledge distillation to enhance adversarial robustness in federated learning systems against FGSM and PGD attacks.
ConferenceClassification of Pneumonia in Chest X-rays Using a Hybrid Neural Network Based on a 3-Qubit Quantum Circuit
KSII Conference, 2025 (Accepted, Sep 23, 2025)
This paper introduces a hybrid quantum–classical neural network incorporating a 3-qubit quantum circuit for pneumonia classification from chest X-ray images.
ConferencePerformance Comparison of 8 Deep Learning Models for Seismic Signal Denoising
Proceedings of KIIT Conference, 2025 (Published, Sep 2025)
The paper conducts a systematic comparison of eight deep learning models—BiLSTM, Denoising Autoencoder, FFTformer, Informer, PatchTST, TCN, UNet1D, and WaveNet—for seismic signal denoising under identical experimental conditions.
ConferenceA Study on Robustness Enhancement and Multi-Adversarial Attacks in Vision Transformer-based Image Classification Models
Proceedings of KIIT Conference, 2025 (Published, May 2025)
This paper analyzes adversarial robustness in ViT-B32 models under FGSM, PGD, and CW attacks, demonstrating that multi-adversarial training significantly improves robustness while maintaining high clean accuracy.
Current Research View All
Fault Injection Research Active
2026 - Present
Research on software fault injection in deep neural networks and functional recovery via logit-based external calibration techniques.
Fault Injection
DNN Recovery
Logit Calibration
Reliability
Quantum AI Active
2025 - Present
Quantum-classical hybrid neural networks, quantum noise-based adversarial attacks, and classification models utilizing Variational Quantum Circuits (VQC).
Quantum ML
VQC
Hybrid Network
PennyLane
Autonomous Driving + LLM Active
2026 - Present
Leveraging Large Language Models (LLMs) for autonomous driving decision-making and scenario understanding. Includes research on OpenEMMA, an open-source end-to-end multimodal model for autonomous driving that integrates vision-language reasoning for real-time driving decisions.
LLM
Autonomous Driving
Decision Making
OpenEMMA
Multimodal
Cache-inspired Federated Learning Active
2026 - Present
A novel federated learning framework inspired by cache memory hierarchy. Borrowing locality and replacement policy concepts from cache systems to optimize client selection, model aggregation, and communication efficiency in FL.
Federated Learning
Cache Memory
Client Selection
Aggregation
Mamba-based Autonomous Vehicle Active
2026 - Present
Exploring Mamba (State Space Model) architecture for autonomous driving perception and decision-making. Leveraging Mamba's linear-time sequence modeling to replace Transformer-based backbones in end-to-end autonomous driving pipelines for improved efficiency and long-range temporal reasoning.
Mamba
State Space Model
Autonomous Driving
Sequence Modeling
TDA-based Drug Discovery Active
2026 - Present
Applying Topological Data Analysis (TDA) to molecular point clouds, protein-ligand interaction networks, and binding pocket geometries for drug discovery. Persistent homology and Mapper-based shape features guide virtual screening, lead optimization, and structure-based drug design — providing topology-aware representations that complement conventional cheminformatics descriptors.
TDA
Drug Discovery
Molecular Design
Persistent Homology
Cheminformatics
TDA-based Detection of Generative AI Attacks Planning
2026
Detecting adversarial attacks generated by generative AI models using Topological Data Analysis (TDA). Will leverage TDA to capture hidden topological features and structural anomalies that conventional detection methods cannot identify.
TDA
Generative AI
Adversarial Attack
Detection
Security
Completed Projects
Autonomous Driving + Federated Learning (Heterogeneous Models) Completed
2025 – 2026 · Accepted at ICUFN 2026 (AdaFed)
Trained heterogeneous models via federated learning in the same driving environment. Analyzed knowledge transfer between models and performance convergence across architectures. Resulted in the AdaFed paper (Adaptive Selective Aggregation for Heterogeneous FL in Autonomous Driving) accepted at ICUFN 2026.
Federated Learning
Heterogeneous Models
Autonomous Driving
ICUFN 2026
Homogeneous FL for TCP Autonomous Driving (Different Environments) Completed
2026 · Undergraduate Research Course
Homogeneous federated learning research using TCP autonomous driving models across different driving environments. Trained the same TCP model in diverse scenarios via FL to analyze robustness and performance convergence under environment heterogeneity. Conducted and finalized as an undergraduate research course project.
Federated Learning
TCP
Autonomous Driving
Carla
Homogeneous FL
TDA for Medical Data Analysis Completed
2026 · Paper submitted (under review)
Applied Topological Data Analysis (TDA) to BRCA breast cancer datasets to discover novel variables and hidden topological structures. Identified new biomarker candidates and feature patterns in breast cancer genomic data that conventional statistical methods could not capture.
TDA
Medical Data
Topological Analysis
Healthcare
Cancer Data
Biosignal
AI-Based Dental Hygiene Hand Posture Training App Completed
2025 (with Dept. of Dental Hygiene)
A mobile application developed in collaboration with the Department of Dental Hygiene that uses AI-based hand pose estimation to evaluate whether the user's hand posture is correct during dental hygiene practice. Includes practice time tracking and feedback on posture accuracy.
Hand Pose Estimation
Mobile App
Dental Hygiene
AI
AI-Based Aquaponics Monitoring & Growth Prediction Completed
2025 (with COREX)
Camera-based plant growth prediction and real-time AI monitoring of pH, temperature, and other environmental factors in aquaponics systems, with automated adjustment upon anomaly detection.
Computer Vision
IoT
Real-time Monitoring
Mathematical Analysis of Quantum GNN Completed
2025
Theoretical and mathematical analysis of Quantum Graph Neural Networks, investigating expressiveness, convergence properties, and computational advantages.
Quantum
GNN
Mathematical Analysis
Side Channel Attack Detection Completed
Mar 2025 - Jun 2025
Comparative analysis of AI models to identify the most effective architecture for detecting side-channel attacks in hardware systems. The MLP model’s efficiency and robustness underlined the importance of model-data alignment over architectural complexity.
PyTorch
Scikit-learn
PCA
Security
OCR + LLM-Based Medical Document Automation Completed
Apr 2025 - Nov 2025
Automated processing and structuring of medical documents by combining OCR text extraction with LLM-based understanding and summarization.
Naver OCR
OpenAI API
NLP
Ubuntu
Voice Data-Based Risk Situation Prediction Completed
Sep 2024 - Dec 2024
Detecting and predicting risk situations from voice data using audio feature extraction and deep learning classification. Follow-up research led to FPGA-based implementation (KCS 2026).
PyTorch
Librosa
Google Speech-to-Text API
LLM-Based Search Query Optimization Completed
Apr 2024 - Jun 2024
Optimizing search queries using LLMs to improve search accuracy and user experience through intent understanding and query reformulation.
LLM
NLP
Python
Electricity Usage Prediction Completed
2024
Predicting electricity consumption by integrating weather data and historical usage patterns using machine learning models.
Time Series
Prediction
Weather Data
Technical Skills
Languages: C, C++, Java, Python, Rust, Assembly
ML/DL: PyTorch, TensorFlow, Keras, scikit-learn
Quantum: Qiskit, Cirq, PennyLane
Systems: CUDA, FPGA, Linux
Awards & Honors
Feb 2026
LG Aimers 8th Cohort — EXAONE Model Lightweight LLM Compression
LG AI Research Institute / Ministry of Employment and Labor
Completed LG Aimers 8th program (Jan–Feb 2026). Hackathon topic: EXAONE Model Lightweight LLM Compression.
Dec 2025
Outstanding Paper Award from the Korea Information Technology Society
KIIT
Jul 2025
Outstanding Paper Award from the Korea Information Technology Society
KIIT
2024
LG Aimers 6th Cohort — Data Intelligence (Pregnancy Success Prediction)
LG AI Research Institute / Ministry of Employment and Labor
Spring 2024
Academic Excellence Award
Yonsei University
Fall 2023
Academic Excellence Award
Yonsei University
Ongoing
Volunteering and Social Contributions
The Korean Red Cross
May 2019
Science Golden Bell — Grand Prize (1st place)
Cheongdam High School
Ranked 1st among 29 participants from Grades 1–2. School-wide science knowledge competition.
Feb 2019 & Dec 2019 / Feb 2021
Role Model Award & Service Awards
Cheongdam High School
Role Model Award (Grade 1, 2019). Service Awards in Grade 2 (Dec 2019) and Grade 3 (Feb 2021).
Jul 2018 & Jul 2018
Subject Excellence Award (Integrated Science) & Book Review Contest (Excellence, 2nd)
Cheongdam High School
Subject Excellence Award in Integrated Science (Jul 2018). Book Review Contest — Excellence Award (2nd place) in Jul 2018 and again in Sep 2020.
Sep 2013
Student Research Presentation — Silver Award (2nd place)
Eonbuk Elementary School (Grade 5)
2009 – 2012
Reading Award — 4 Consecutive Years
Eonbuk Elementary School (Grades 1–4)
Recognized each year from 1st to 4th grade for outstanding reading achievement. Additional English Reading Silver Award (Dec 2009) and English Diary Writing Excellence Award (Sep 2010).
Certifications & Licenses
May 2026
Generative AI Software Engineering — Professional Certificate (5 Courses)
Vanderbilt University (Coursera)
Generative AI Software Engineering (S5SYX15G2E35) ·
Prompt Engineering for ChatGPT (JVT1A8H6D2JW) ·
OpenAI GPTs: Creating Your Own Custom AI Assistants (TH6UTWS7C56J) ·
AI Agents and Agentic AI with Python & Generative AI (UPNM6GHOJMQ5) ·
Claude Code: Software Engineering with Generative AI Agents (UAD5A9S009CD)
May 2026
Control Systems Analysis: Modeling of Dynamic Systems
University of Colorado Boulder (Coursera)
Credential ID: VDD3IF51U1MI
May 2026
Google AI Essentials — Specialization (7 Courses)
Google (Coursera)
Google AI (79O2B9AKZPJ3) · AI Fundamentals (QKSDXFQBGT0M) ·
AI for Brainstorming and Planning (5K24TEZKJNQ5) · AI for Research and Insights (XRUKDRY4D2MQ) ·
AI for Writing and Communicating (GVV71D80EU0A) · AI for Content Creation (XPNYNW9X5SJH) ·
AI for Data Analysis (VQB0Z0J8DPD1)
May 2026
AI for Engineering — Specialization (4 Courses)
University of Michigan (Coursera)
AI for Energy and Biomedical Applications (9RYS9SNOEH2O) ·
AI for Mechanical Engineers (KXSQWHLC5A9G) ·
AI for Autonomous Vehicles and Robotics (TIV67CDV6L6B) ·
AI for Design and Optimization (XG9H8N3OLF2P+)
May 2026
IBM Project Manager — Professional Certificate (9 Courses)
IBM & SkillUp Online (Coursera)
IBM Project Manager (KGSYA8BK84S3) ·
Introduction to Project Management — IBM (7JJTWPVYNT55) ·
Project Management Foundations, Initiation, and Planning — SkillUp (IQT3YQO1XEOU) ·
Project Lifecycle, Information Sharing, and Risk Management — SkillUp (0CIB0KW5Y3J7) ·
Project Management Communication, Stakeholders & Leadership — SkillUp (GRNWJS9UNV5W) ·
Introduction to Agile Development and Scrum — IBM (OS07DRK0HAKW) ·
Project Management Capstone — IBM (FKLQCASMPY4P) ·
Practice Exam for CAPM Certification — SkillUp (7COCN8VH6THD) ·
Project Management Job Search, Resume, and Interview Prep — IBM (L42OQRS5Q8C0)
May 2026
Basics of Robotics
Siemens (Coursera)
Credential ID: 75ACEQV1CMC3
Apr 2026
Introduction to Clinical Data
Stanford University School of Medicine (Coursera)
Credential ID: ANI3R4EV9HA1
Apr 2026
Machine Learning: Modern Computer Vision & Generative AI
Udemy
Credential ID: UC-526266be-d580-4d15-ad92-1b97f269718
Apr 2026
Intro to OpenAI Codex: Fully Agentic Coding
Udemy
Credential ID: UC-f04496a0-13e3-4718-930e-d64cd749c77e
Mar 2026
SBR - Investigator/Researcher
CITI Program
Credential ID: 75784444 · Expires: Mar 2028
Mar 2026
Claude Code: Agentic Coding for Developers
Udemy
Credential ID: UC-0003bd4d-dd5d-4adc-b9c9-5ac7f8f663f9
Feb 2026
LG Aimers 8th — LLM Compression
LG AI Research
Jan 2026
Certificate of Completion — LaTeX for Everyone and Everything
Udemy
Credential ID: UC-629e53fd-f56d-4f93-8aa7-43f4e9128ebb
Sep 2025
Certificate of Completion — Graduate Student
Schumpeter
May 2025
Certificate of Completion of the Artificial Intelligence Convergence Technology Expert Training Program
Korea Artificial-Intelligence Convergence Technology Society
Jan 2025
LG Aimers 6th — Data Intelligence
LG AI Research
2024
Software Engineer Literacy Seminar
The Korean Institute of Convergence Signal Processing
Professional Memberships
IEEE
KICS (Korean Institute of Communications and Information Sciences)
KIIT (Korea Information Technology Society)
Languages
Korean: Native
English: Professional Working Proficiency