Research team
SOENG Saravit

SOENG Saravit

Researcher

AI Convergence Lab, Chungbuk National University

  • Computer Vision
  • LLM
  • VLM
  • Applied AI

About

Researcher at AI Convergence Lab (AICLab), Chungbuk National University, with over 9 years in software development and 5+ years specializing in machine learning, deep learning, and applied AI. His research focuses on multimodal AI systems, real-time abnormal action detection, computer vision, and vision-language models (VLM).

Education

PhD
Ph.D. in Big Data
(Mar 2022 – Feb 2026)
Chungbuk National University, South Korea
Dissertation: "A Multimodal Framework for Real-time Abnormal Human Action Detection Using Spatio-Temporal Modeling and Vision-Language Reasoning"
MS
M.S. in Big Data
(Mar 2020 – Feb 2022)
Chungbuk National University, South Korea
Thesis: "An Implementation of IoT End-to-end Data Pipeline for Industrial Big Data Platform"
BS
B.S. in Computer Science
(Nov 2013 – May 2017)
Royal University of Phnom Penh, Cambodia

Contact

AI Convergence Lab, Chungbuk National University, Cheongju, South Korea

Recent publications

Conference

Order-Conditioned Message Passing over Shape Codes for Amodal Segmentation

Vungsovanreach Kong, Saravit Soeng, Rotanakkosal Chhun, Tae-Kyung Kim

BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026

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Conference

A Verification Agent Harness for Enhancing Factual Reliability in Enterprise RAG Systems

Saravit Soeng, Vungsovanreach Kong, Sokheang Chan, Tae-Kyung Kim

BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026

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Conference

Multi-Agent Scientific Hypothesis Generation & Verification

Naro Vorn, Ratanaktepi Chhor, Saravit Soeng, Tae-Kyung Kim

BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026

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