Arbitrating Two Extractors: A NER-LLM Consolidation Pipeline for Metadata Extraction from Korean Public Domain Right Documents
Milandu Keith Moussavou Boussougou, SeongHun Hwang, Dong-Joo Park
IC-EEECS 2026 (short paper, to appear)
Ph.D. Candidate 박사과정
Milandu Keith Moussavou Boussougou 밀란두
Links & Contact링크 · 연락처
About 소개
Milandu is a Ph.D. candidate from Gabon working on Korean voice-phishing detection. He received his M.S. from Soongsil University in February 2021 with a thesis on detecting voice-phishing crime by analyzing call content with AI, created the KorCCVi corpus, and is the first author of the lab's voice-phishing detection series — from the KCC 2021 study to the IEEE Access 2025 article. He serves as a reviewer for IEEE Access. Before graduate school he worked in industry at WeCrest (Seoul) and Huawei Technologies (Libreville).
Research Interests 연구 관심사
- Korean voice-phishing detection
- multimodal audio–text learning
- on-device and privacy-preserving machine learning
Education 학력
- Now
Ph.D. candidate in Computer Science (AI track), Soongsil University
- 2021.02
M.S. in Computer Science, Soongsil University — thesis: "An Artificial Intelligent Approach To Detect Voice Phishing Crime By Analyzing The Call Content: A Case Study on Voice Phishing Crime in South Korea"
- 2011–2014
Licence Professionnelle, Institut Supérieur de Technologie, Libreville, Gabon
Awards 수상
- 2022
Outstanding Paper Award (우수논문상), KCC 2022 — KIISE
- 2021
Encouragement Paper Award (장려논문상), ACK 2021 — KIPS
Publications (13) 논문
Auto-listed from the lab's publication index by author name.
Performance Analysis of KLUE-BERT with B-I-O Training Data Composition for Metadata Extraction from Rights Documents as Korean Openly Licensed Works
SeongHun Hwang, Milandu Keith Moussavou Boussougou, Dong-Joo Park
IC-EEECS 2026 (companion short paper, to appear)
Lightweight Acoustic Approaches for Real-Time Voice-Phishing Detection on Mobile Devices
Milandu Keith Moussavou Boussougou, Dong-Joo Park
IEEE Access — revise & resubmit
공유저작물 자동 정보 추출을 위한 미세조정 BERT-BiLSTM-CRF NER 모델의 성능 및 안정성 분석
황성훈, Milandu Keith Moussavou Boussougou, 박동주
한국소프트웨어감정평가학회 논문지 (Journal of Software Assessment and Valuation) 21(4):53–61
Multimodal Detection of Korean Voice Phishing Using Audio and Text Fusion
Milandu Keith Moussavou Boussougou, Minhyuk Song, Bongchan Jeong, YuSeok Hwang, Dong-Joo Park
KCC 2025 (한국컴퓨터종합학술대회)
Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study
Milandu Keith Moussavou Boussougou, Prince Hamandawana, Dong-Joo Park
IEEE Access 13:37946–37965
⚠ under verification DOI
Korean Voice Phishing Detection Dataset with Multilingual Back-Translation and SMOTE Augmentations
Milandu Keith Moussavou Boussougou, Prince Hamandawana, Dong-Joo Park
IEEE DataPort
Attention-Based 1D CNN-BiLSTM Hybrid Model Enhanced with FastText Word Embedding for Korean Voice Phishing Detection
Milandu Keith Moussavou Boussougou, Dong-Joo Park
Mathematics (MDPI) 11(14):3217
Towards Privacy-Preserving Korean Voice Phishing Detection: A Federated Learning Approach with RoBERTA
Milandu Keith Moussavou Boussougou, Chang Kyun Hong, Soyeon Hong, Dong-Joo Park
KCC 2023, pp. 626–628
⚠ under verification
한국어 언어 모델을 활용한 보이스피싱 탐지 기능 개선
Milandu Keith Moussavou Boussougou, Dong-Joo Park
KIPS Transactions on Software and Data Engineering 11(10):437–446
An Attention-Based CNN-BiLSTM Model for Korean Voice Phishing Detection
Milandu Keith Moussavou Boussougou, Myoung-Gyu Park, Dong-Joo Park
KCC 2022, Jeju, pp. 1139–1141
Outstanding Paper Award (우수논문상), KCC 2022 — KIISE
Korean Voice Phishing Text Classification Performance Analysis Using Machine Learning Techniques
Milandu Keith Moussavou Boussougou, Sangyoon Jin, Daeho Chang, Dong-Joo Park
ACK 2021 (한국정보처리학회 학술발표대회), Yeosu, vol. 28 no. 2, pp. 297–299
Encouragement Paper Award (장려논문상), ACK 2021 — KIPS DOI
A Real-time Efficient Detection Technique of Voice Phishing with AI
Milandu Keith Moussavou Boussougou, Dong-Joo Park
KCC 2021 (한국정보과학회 한국컴퓨터종합학술대회), Jeju, pp. 768–770