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Seokho Ahn

Ph.D. student at the Knowledge-based Data Discovery Lab, Inha University.
Interests include time-series analysis, IoT calibration, recommender systems, natural langugage processing, graph neural networks, and knowledge graphs.

ECE @ Inha University · Incheon, Republic of Korea · sokho0514 [at] inha.edu

Education

Ph.D. in Electrical and Computer Engineering, Inha University
Expected Aug 2027
GPA: 4.5 / 4.5
M.S. in Electrical and Computer Engineering, Inha University
Aug 2023
GPA: 4.43 / 4.5
B.S. in Mathematics Education & B.S. in Computer Science and Engineering (Dual Degree), Inha University
Aug 2021
GPA: 4.29 / 4.5 Major GPA: 4.39 / 4.5 Highest honor (1/42)
Scholarships: National Science & Technology (2019–2020); Academic Excellence (Fall 2017, 2018).

International publications

Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language ModelsBK IF4
KDD 2026
Seokho Ahn; Sungbok Shin; Young-Duk Seo
Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion ModelsBK IF4
ICCV 2025
Hyungjin Kim; Seokho Ahn; Young-Duk Seo
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time SeriesBK IF4
AAAI 2025
Seokho Ahn; Hyungjin Kim; Sungbok Shin; Young-Duk Seo
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender SystemsOralBK IF1
SAC 2025
Minhye Jeon; Seokho Ahn; Young-Duk Seo
UKTA: Unified Korean Text AnalyzerOralBK IF1
SAC 2025
Seokho Ahn*; Junhyung Park*; Ganghee Go*; Chulhui Kim; Jiho Jung; Myung Sun Shin; Do-Guk Kim; Young Duk Seo (* equal contribution)
SenDaL: An Effective and Efficient Calibration Framework of Low-cost Sensors for Daily LifeJCR top 5%
IoTJ 2024
Seokho Ahn; Hyungjin Kim; Euijong Lee; Young-Duk Seo
Morpheme-based Korean text cohesion analyzerBK IF1
SoftwareX 2024
Dong-Hyun Kim*; Seokho Ahn*; Euijong Lee; Young-Duk Seo (* equal contribution)
RecKG: Knowledge Graph for Recommender SystemsOralBK IF1
SAC 2024
Junhyuk Kwon; Seokho Ahn; Young-Duk Seo
Practical Implementation of Upgraded Low-Cost Sensors in Everyday Home DevicesOral
ICCE 2024
Seokho Ahn; Hyungjin Kim; Euijong Lee; Young-Duk Seo
Relation Modeling on Knowledge Graph for Interoperability in Recommender SystemsOralBK IF1
SAC 2023
SeungJoo Lee*; Seokho Ahn*; Young-Duk Seo (* equal contribution)

Patents

Internet of things device and a statistical data management system for both the public space management and the seat hogging problem based on cloud
Apr 2021
KR 10-2021-0043531Young-Duk Seo; Yeongdong Han; Seokho Ahn; Jongeun Lee
Integration Method and System for Heterogeneous Feedback for the Personalized Recommendation
Dec 2022
KR 10-2022-0167467Young-Duk Seo; SeungJoo Lee; Seokho Ahn · Pending
A Calibration Model for Improving the Performance of Low-Cost Fine-Dust Sensors in Measuring Indoor Particulate Matter
Dec 2022
KR 10-2759078Young-Duk Seo; Seokho Ahn
Korean Cohesion and Coherence Analysis Method and System using Korean Morpheme Analyzer
Dec 2023
KR 10-2023-0186092Young-Duk Seo; Dong-Hyun Kim; Seokho Ahn · Pending

Research experience

Ph.D. Student, Knowledge-based Data Discovery Lab, Inha University
Sep 2023 – Present
Transformer-based architecture for IoT devices; explainable recommendation with LLMs; Korean text analyzer; KG enrichment for unstructured data; diffusion-based personalized generation; continual learning with dynamic/static preferences.
M.S. Student, Knowledge-based Data Discovery Lab, Inha University
Sep 2021 – Aug 2023
KG extension to address sparsity; efficient LSTM/Transformer frameworks for daily-life time-series; IoT data pipelines; comparative studies on Korean morpheme analyzers.
Undergraduate Research Student, Knowledge-based Data Discovery Lab, Inha University
Dec 2020 – Aug 2021
Calibration algorithm based on fine-dust sensor data.

Selected honors and awards

Dean’s Award — Awards for Inha Biryong (Outstanding Paper Award)
Feb 2025
Recognized for publishing in outstanding SCI journals and conferences.
Excellence Prize — Outstanding Paper Presentation (BK21 AI R&E Center)
Feb 2025
Presented SenDaL: An Effective and Efficient Calibration Framework of Low-cost Sensors for Daily Life.
Grand Prize — Inha Industry-University Cooperation Project
Dec 2021
Development of Artificial Intelligence-based air purifiers with MIRO Corp.
Excellence Prize — Incheon Start-up & Public Data Competition
Sep 2021
Competition Using Public Data. Suggested a data-driven solution that analyzes real-time congestion in the airport and guides the required time at the airport.
Excellence Prize — Inha Super Challenge Software Hackathon
Jan 2021
Implemented an Internet of things device and a statistical data management system for both the public space management and the seat hogging problem based on cloud.

Teaching experience

Teaching Assistant, Understanding Korean Natural Language Processing and Education Technology
Spring 2024–2025
Inha University
Instructor, Artificial Intelligence and Mathematics
2023–2025
Incheon Girls’ High School
Mentor, K-Software Empowerment BootCamp Academy
Fall 2022
Ministry of Science and ICT
Teaching Assistant, Computational Linear Algebra in Computer Science
Fall 2021–2024
Inha University
Teaching Assistant, Geometry; Topics in Algebra; Modern Algebra
2020–2021
Inha University

Licenses & certifications

Teacher’s Certificate (Grade II)
Aug 2021
Ministry of Education, Republic of Korea
Engineer Big Data Analysis
Jul 2021
Ministry of Science and ICT, Republic of Korea
Advanced Data Analytics Semi-Professional
May 2021
Korea Data Agency
Engineer Information Processing
Nov 2020
Ministry of Science and ICT, Republic of Korea