activity
20222026
most citedSemi-supervised Variational Autoencoder for Regression: Application on Soft Sensors

2 citations · 2 across the 13 of their papers we have counts for

collaborators

16 papers

cs.AI2026

ADMITBench: A Safety-Governed Reference Framework for Evaluating the Admissibility of Industrial LLM Advisories

Yash Misra, Javal Vyas, Siddharth Gutta +1

This white paper presents ADMITBench, a reference framework for evaluating industrial LLM advisories at the level of the proposed action. The framework implements a versioned, safe…

cs.AI2026

An LLM-Driven Workflow for Automated Process Control Strategy Generation and Tuning from Dynamic Process Models

Ari Luna Rueda, Eike Cramer, Klaus Hellgardt +1

We present a structured large-language-model-driven workflow for automated multi-variable control design from dynamic process models. The workflow decomposes the design task into c…

eess.SY2026

From P&ID Drawings to Process Graphs: A Multimodal Language Model Approach

Baikai Zhu, Samuel Duong, Javal Vyas +1

Piping and instrumentation diagrams (P&IDs) encode the functional structure of process plants and are a critical yet underutilised source of engineering knowledge for digital twins…

eess.SY2026

A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents

Javal Vyas, Milapji Singh Gill, Artan Markaj +2

Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined supervisory logic. Operators interpret alarms, procedures,…

eess.SY2026

Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models

Javal Vyas, Milapji Singh Gill, Mehmet Mercangöz

Engineering specifications such as interlocks, alarm rationalization tables, and cause-and-effect (C&E) matrices remain central to process control and safety, yet their creation is…

cs.AI2026

Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction

Yuchen Wang, Javal Vyas, Tong Liu +1

A key step toward autonomous industrial operation is the ability to create and reconfigure control policies from natural-language requirement specifications, with minimal or no man…