Seongeun Park

AI for Safer Infrastructure • Human-Centered Design • Trustworthy Automation

Hi, I’m Seongeun Park

I’m a Ph.D. student in Civil and Environmental Engineering at Carnegie Mellon University.
My research focuses on human-AI collaboration for safer, smarter decision-making in high-risk infrastructure systems.

Education
Ph.D. in Civil and Environmental Engineering
Carnegie Mellon University
(2024–Present)
Advisor: Prof. Pingbo Tang – HMHI
M.S. in Architectural Engineering
Seoul National University
(2021–2023)
Advisors: Prof. Moonseo Park, Prof. Changbum Ryan Ahn – SNUCEM
B.S. in Architectural Engineering
Kyung Hee University
(2016–2020)
Teaching & Mentorship
Teaching Assistant
Carnegie Mellon University: Building Information Modeling (BIM) for Engineering, Construction, and Facility Management (Spring 2025, Spring 2026)
Seoul National University: Architecture and AI (Spring 2023, Spring 2024)

Undergraduate Research Mentor
PITA, Carnegie Mellon University (Spring 2026)
SURA, Carnegie Mellon University (Summer 2025)
HURAY, Carnegie Mellon University (Spring 2025)

View my resume for more details.

What I’m Exploring

I'm fascinated by the intersection of AI and human decision-making, particularly in high-risk environments. My research aims to enhance safety and operational efficiency by integrating AI-driven insights with human expertise.

Human-AI Decision Making

Understanding how humans and AI collaborate in critical decision-making under uncertainty

AI for Safety Management

Developing intelligent AI systems that enhance workplace safety in high-risk industries

Knowledge Graphs & LLMs

Building structured knowledge systems to support decision-making and hazard recognition

Human-Centered AI

Ensuring AI systems align with human cognitive processes and decision workflows

Automation & Trust

Exploring how automation impacts human trust and performance in high-stakes scenarios

AI for Infrastructure Operations

Applying AI-driven solutions to improve efficiency and safety in infrastructure management

Automating Design Refinement for Water Systems Operations (2025-)

Developed a GraphRAG-based chatbot to automate PFAS treatment and GAC system design, reducing communication overhead between designers and engineers and improving workflow efficiency.

Real-Time Safety Decision Support for Nuclear Power Plant Operators (2025-)

Developing a real-time decision support system using Knowledge Graphs and RAG to help operators anticipate risks and verify safety guidelines for 4th generation nuclear microreactors.

HangCon: Benchmark Dataset for Hanging Object Detection (2025)

Developed a dataset of 101,381 images to improve the detection of hanging objects on construction sites, addressing safety challenges in lifting operations.

Contextual Multimodal Recognition for Tunnel Construction (2024)

Developed an audio-visual multimodal model to accurately recognize and monitor concurrent activities of multiple equipment in tunnel construction projects. The model enhances operational efficiency by integrating spatial and temporal contexts, achieving an F-score of 96.3% in real-world data testing.

AI-Driven Accident Prediction for Construction Safety (2024)

Developed a predictive model using fine-tuned GPT and saliency visualization to analyze 15,000 construction accident records. Achieved 82% accuracy in classifying six accident types, demonstrating AI’s potential to enhance safety management.

Human-Independent Activity Recognition for Construction Workers (2023)

Developed a sensor-based model for recognizing worker activities without the need for individual re-training. Achieved 78.64% accuracy using a variational-denoising autoencoder, outperforming existing benchmarks.

Collective Sensing for Slip, Trip, and Fall Hazard Identification (2023)

Developed a data-driven approach to detect slip, trip, and fall hazards by analyzing workers’ loss of body balance using wearable sensors and GPS-based location mapping.

News
Aug 2025 Selected as a CUAHSI Hydroinformatics Innovation Fellow
Jul 2025 Participated in DesignSafe SPARC Program
Apr 2025 Selected as a Chishiki-AI Fellow
Mar 2025 Presented my poster at CMU Energy Week
Feb 2025 Passed my Ph.D. qualifying exam
Aug 2024 Joined HMHI at CMU

Get in Touch

If you’d like to collaborate or have any questions, feel free to reach out!