collaborators

5 papers

cs.AI2026

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis

Sanjay Das, Ran Elgedawy, Ethan Seefried +2

Operational safety in high-stakes domains such as industrial process control, autonomous, and safety-critical systems, demand reliable hazard identification. While large language m…

cs.CV2026

Enginuity: A Dataset and Benchmark for Vision-Language Understanding of Engineering Diagrams

Abhishek Kumar, Isha Motiyani, Tilak Kasturi +3

Engineering diagrams pose a distinct challenge for vision-language models: unlike natural images or general documents, they encode information through dense spatial layouts, domain…

cs.LG2026

BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents

Ethan Seefried, Ran Eldegaway, Sanjay Das +2

Decades of engineering drawings and technical records remain locked in legacy archives with inconsistent or missing metadata, making retrieval difficult and often manual. We presen…

cs.CV2026

Enginuity: Building an Open Multi-Domain Dataset of Complex Engineering Diagrams

Ethan Seefried, Prahitha Movva, Naga Harshita Marupaka +2

We propose Enginuity - the first open, large-scale, multi-domain engineering diagram dataset with comprehensive structural annotations designed for automated diagram parsing. By ca…

cs.AI2025

HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments

Ran Elgedawy, Sanjay Das, Ethan Seefried +7

Operational safety at mission-critical work sites is a top priority given the complex and hazardous nature of daily tasks. This paper presents the Human-Agent Risk Navigation and E…