Research team
CHAN Sokheang

CHAN Sokheang

Master Candidate

Department of Big Data Convergence, Chungbuk National University

  • Data Analytics
  • LLM
  • Applied AI
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About

Master's Degree candidate majoring in Big Data Convergence at Chungbuk National University. Specializes in data analytics and multimodal AI with over 4+ years of experience in software development and 2+ years in data analytics, ML, and AI. Experienced in developing scalable AI systems.

Academic Background

Now
Current
Master's Degree in Big Data Convergence, Chungbuk National University
BS
Bachelor's in Computer Science
(Nov 2019 – Jun 2023)
Royal University of Phnom Penh
IT
IT Professional Training
(Feb 2022 – Nov 2022)
Korea Software HRD Center, Cambodia
Basic course (Feb – Jul 2022) and advanced course (Aug 2022 – Nov 2022)

Recent publications

SCOPUS

ASG-LLM: An LLM-based pipeline for automated scraping code generation in security-sensitive environments

Sokheang Chan, Naro Vorn, Vungsovanreach Kong, Chang Kue Seok, Jong-Hyun Kim, Anand Nayyar, Tae-Kyung Kim

Array, Vol. 31, 101135, Sep. 2026

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SCIE

MRS-Agent: A map-reduce framework for quantifiable schema grounding in Text-to-SQL

Sokheang Chan, Vungsovanreach Kong, Anand Nayyar, Tae-Kyung Kim

ICT Express, Jul. 2026

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SCIE

QA-SQL: Query-Augmented SQL generation using few-shot prompting with data augmentation

Sokheang Chan, Vungsovanreach Kong, Anand Nayyar, Tae-Kyung Kim

PeerJ Computer Science, Vol. 12, e3525, Feb. 2026

View Paper