🎓 Major

• 2023.03 ~ Konkuk University, Korea
  • College of Social Sciences / Applied Statistics
  • College of Engineering / Computer Science and Engineering

💻 Interested in

• Agentic AI & Cognitive Reasoning: Designing autonomous systems with Planning, Reasoning, and Memory architectures. Developing Control Loops for Self-reflection and Iterative Refinement to enhance decision-making quality and logical consistency.
• Reinforcement Learning for Agents: Optimizing agent policies using MAPPO/PPO to achieve complex multi-step goals. Focusing on Agentic RAG and multi-agent coordination through learned decision strategies.
• Multimodal Representation Learning: Exploring cross-modal synergy between Vision, Language, and Audio through Foundation Models (VLM, SSL-based Audio Models) to build rich, unified world models for agents.
• Meta-Learning & Informed Data Acquisition: Researching 'Learning-to-learn' paradigms and generalized Active Learning (Label-Efficient Learning) to enable fast adaptation in label-scarce or noisy real-world environments.
• Trustworthy & Robust AI: Ensuring agent reliability by mitigating Hallucinations and improving Tool-use Robustness. Investigating Uncertainty Quantification and XAI to build interpretable and safe autonomous systems.
• Statistical Machine Learning: Leveraging Applied Statistics for Probabilistic Models and Bayesian Inference to quantify model confidence and refine imperfect data labels.
• Time-Series Analysis & Anomaly Detection: Developing robust models for Temporal Sequence Modeling and Multi-horizon Forecasting. Utilizing Self-Supervised Learning and Transformer-based architectures to identify Anomalies and Change Points in high-dimensional, non-stationary data for proactive risk management and system integrity.

📚 Experience

• 2025.07 ~ Undergraduate Research Intern of AI&CV LAB
• 2025.12 ~ 2026.02 Voinosis Corp. (Medical AI) | AI Engine Development Team, Intern (Field Practicum)
• 2025.01 ~ 2026.02 24th Generation of BOAZ, Bigdata & AI Academic Organization
• 2024.01 ~ 2025.01 10th Generation of KUGGLE, Data Science & Machine Learning Academic Club

📑 Recent Projects

• 2026.03 ~ Discriminative Feature Learning & UAE | developing audio+text multimodal representation and developing Uncertainty-Aware Ensembles (MATER+).
• 2025.12 ~2026.04 Label Refinement for SER(speech emotion recognition) | Label cleaning on MSP-Podcast 2.0 via statistical model and Anomaly annotator Detection with 9 hand-crafted features, now Developing soft labels Encoding Inter-class Distances or Hierarchical Relationships
• 2025.11 ~ 2026.01 ToonPT: Multimodal RAG for Webtoons | Hierarchical narrative retrieval using Vision-Language embeddings and Scene Segmentation.
• 2025.10 ~ 2025.12 SAND Challenge: Pathological Speech Analysis | Severity classification via Syllable-level SSL (SD-HuBERT/Sylber) and Cascade Learning.
• 2025.07 ~ [Discontinued] Mitigating Language Bias in VLMs | Investigated strategies to suppress hallucinations and linguistic bias in Vision-Language Models.
• 2025.07 ~ 2025.08 WhisperX-based STT Pipeline for Audiometry | Automated transcription and fine-tuning for high-fidelity hearing test dataset acquisition.
• 2025.05 ~ 2025.06 MMOA-RAG: RL-based RAG Optimization | Joint optimization of RAG components via MAPPO to minimize hallucinations.
• 2025.02 ~ 2024.02 Interpretable Battery Anomaly Detection | Attention-based Bi-LSTM for fault classification with temporal XAI analysis.
• 2025.09 ~ 2025.10 National Pension Sustainability Analysis | Statistical time-series modeling using GLSAR for policy simulation.
• 2024.09 ~ 2024.10 Optimal Transport for Academic Feedback | Performance prediction and feedback via Optimal Transport and SHAP/LIME.

📘 Proficient in

📕 Python Module

📗 Environment

• 이메일 : jmfc0298@gmail.com
• 깃허브 :