Joonsun Hwang

PhD Student · Carnegie Mellon University

Civil and Environmental Engineering
HMHI Research Group · Advisor: Dr. Pingbo Tang

I study human–AI collaboration, operator knowledge, and digital twins in manufacturing and civil infrastructure.

Joonsun Hwang in front of an illuminated yellow sculpture

Research Projects

Manufacturing Futures Institute (MFI) 2026

Research Assistant · Pittsburgh, PA · Sep 2026–Present

Digitizing Tacit Manufacturing Knowledge into Graph-Grounded, Human-Aligned Coaching Agents

  • Identify the observe–orient–decide–act (OODA) loop of roll former operators and develop explainable guidance based on experts’ tacit knowledge.

Autodesk Research Residency Program

Researcher · Boston, MA (Hybrid) · May 2026–Present

AI-Enhanced Decision-Making Framework for Manufacturing Operators in Advanced Cutting System

  • Study how operators use their expertise to configure laser cutting machines through machine-generated logs, eye-tracking data, and think-aloud protocols.

Manufacturing PA Innovation Program · Cell Therapy Manufacturing

Research Assistant · Pittsburgh, PA · Oct 2025–Present
  • Lead monthly meetings with Elevate Bio Inc. and manage the overall project schedule. Provide research consulting on adaptive learning for onboarding cleanroom employees at an upcoming manufacturing facility.

Manufacturing PA Innovation Program · Building Material Manufacturing

Research Assistant · Pittsburgh, PA · Nov 2024–Present
  • Lead research on explainable digital twins for preventive maintenance and quality control using sensor measurements from stamping and pressing lines.
  • Investigate operators’ tacit knowledge in configuring roll former setups through reinforcement learning with Ductmate Inc.
  • Compare task similarity across manufacturing lines using a knowledge graph, leading to the 2025 I3CE paper on personalized learning in HVAC product manufacturing.

Textile Good Innovation Foundry (TGIF)

Research Assistant · Pittsburgh, PA · Jan 2025–Aug 2026

Manufacturing Process Simulation and Assessment

  • Led on-site vibration and acoustic sensor data collection for sewing machine operations.
  • Developed a playbook and middleware approaches linking raw sensor data to physical and digital layers, supporting demand surge evaluation through cycle time analysis and needle status monitoring.

Empowering Civil Engineering with Generative AI

Research Assistant · Pittsburgh, PA · May–Nov 2024

Opportunities, Risks, and Future Directions

  • Supported data collection, analysis, and interpretation for research funded by the Block Center’s 2023 Future of Work program.
  • Assisted with submission to Advanced Engineering Informatics of “Transforming Architecture, Engineering, and Construction (AEC) Workflows with Generative AI: Opportunities, Risks, and Future Directions.”

Publications

  1. A Traceable AI-Agent Operation Framework Using Graph-Based Procedures in Nuclear Abnormal Scenario Simulation
    Park, S., McComb, C., Xiao, J., Hwang, J., and Tang, P. 18th International Conference on Probabilistic Safety Assessment and Management (PSAM 18), July 2026.
  2. BuildLink: Graph-Structured Procedural Representation with Incident Integration
    Park, S., Hwang, J., Jeon, K., Boring, L. R., and Tang, P. International Conference on Computing in Civil Engineering, ASCE, June 14, 2026.
  3. Human and AI Decision-Making under Multi-objective Scenarios in Demand-Driven Building Product Manufacturing
    Hwang, J., Jeon, K., and Tang, P. International Conference on Computing in Civil Engineering, 2026.
  4. Measuring Text-based Task Similarity to Enable Personalized Learning in Modular Construction: A Case Study in HVAC Product Manufacturing
    Hwang, J., Jeon, K., and Tang, P. International Conference on Computing in Civil Engineering, 2025.
  5. Socio-Technical Assessment of Generative AI Integration in Architecture, Engineering, and Construction (AEC) Workflows: An Empirical Study Using O*NET Occupational Taxonomy
    Xiong, R., Netser, Y., Tang, P., Li, B., and Hwang, J. Advanced Engineering Informatics, 2024.

Education

Academic details & coursework

Carnegie Mellon University

College of Engineering · Pittsburgh, PA · GPA: 3.96/4.00

Deep Reinforcement Learning, Generative AI, Urban System Modeling, Human AI Interaction, Principles of Digital Twins, Introduction to Python Prototyping for Infrastructure Systems, Advanced Python for Infrastructure Systems, Data Management, Introduction to Machine Learning.

Seoul National University

College of Engineering · Seoul, South Korea · GPA: 3.70/4.00 · Cum Laude · Ranked 9th of 66 graduates

Building Technology, Building System, Building Structure Planning, Introduction to Construction Engineering and Management, Building Economics and Development, Design Computing, Mechanical and Electrical Systems for Building, Advanced Building Environmental Technology, Architectural Design Studio, Architecture Environmental Planning, Building Materials, Building Codes and Regulations, Architecture and Urban Design, Architectural Design Theory, Architecture and Society, Korean Architecture, Architecture and Urbanism of Seoul.

Experience

Teaching & Mentoring

Carnegie Mellon University

Teaching

Research Mentoring

Summer Undergraduate Research Apprenticeship · 4 students
  • Luke Cogswell
  • Vera Zhou
  • Donna Ding
  • Soo-Yeon Kim
Independent Study · 1 student
  • Jingxuan Duan

Seoul National University

Student Mentoring

Team Leader · School-life Mentoring Program

International student mentoring · Seoul, South Korea

  • Advised international freshmen on school life and living in Korea.
  • Planned and organized the opening party, membership training, and tours around Seoul.

Independent Teaching

Awards & Honors

Technical Skills

Programming
Python, C++, JavaScript
Data & Web
SQL, Flux, HTML/CSS
Architectural Design
AutoCAD, Rhino, Grasshopper, SketchUp
BIM & GIS
Revit, QGIS

Certifications

Contact

Civil and Environmental Engineering
Carnegie Mellon University · Pittsburgh, PA