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UID:0-8341@eng.ufl.edu
DTSTART;TZID=America/New_York:20260326T100000
DTEND;TZID=America/New_York:20260326T110000
DTSTAMP:20260313T155411Z
URL:https://www.eng.ufl.edu/news-events/events/can-llm-be-a-construction-e
 ngineer-interpretable-knowledge-infused-ai-for-construction-automation/
SUMMARY:Can LLM be a Construction Engineer?: Interpretable\, Knowledge-Infu
 sed AI for Construction Automation
DESCRIPTION:Title: Can LLM be a Construction Engineer?: Interpretable\, Kno
 wledge-Infused AI for Construction Automation\nSpeaker: Yoonhwa Jung\, PH.
 D.\, Assistant Professor\, Louisiana State University\nZoom: https://ufl.z
 oom.us/j/4369404526?omn=92606232997\nDigital twin models offer powerful en
 d-to-end project lifecycle management and project control capabilities. Ho
 wever\, significant\nchallenges remain between fragmented project data and
  actionable knowledge\, which limits reliable automated\nconstruction syst
 ems. At the core of this transformation is the project schedule—the “b
 rain” of construction engineering that\norchestrates spatial logistics\,
  time\, and resources. In this talk\, I will present my research on Knowle
 dge-Infused AI\nframeworks that embed this core domain intelligence into a
 utonomous workflows. To move beyond recognizing what exists\non a jobsite 
 toward understanding how work is executed and why decisions are made\, I i
 ntroduce novel architectures\, including an\nimplicit schedule checker tha
 t decipher the underlying engineering logic for schedule revision\; Unifor
 matBridge\, a language model that\nsemantically synchronizes project sched
 ules with 3D design models for automated 4D and digital twin backbone crea
 tion \;\nExpertPlanner\, a Mixture-of-Experts model that automates granula
 r look-ahead task decomposition for jobsite execution \; and\nVisualSiteDi
 ary\, a vision-language model for real-time progress tracking and multimod
 al information retrieval.\nI will also discuss multimodal agentic AI syste
 ms for seamless human-AI collaboration and the MineCEraft benchmark for\ne
 valuating coordinate-based spatial and engineering reasoning in large lang
 uage models (LLMs).
CATEGORIES:Faculty Search,Seminars
LOCATION:Weil Hall Room 365\, 1949 Stadium Road\, Gainesville\, FL\, 32611\
 , United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1949 Stadium Road\, Gainesv
 ille\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Weil Hall Roo
 m 365:geo:0,0
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