I2Prod
I2Prod Research

Researching the systems we'll build next.

Research across large language models, AI agents, optimization and applied machine learning — connecting scientific exploration with production engineering.

02

Public research papers

03

Research projects

AI

Core research discipline

Publications

Published research.

01
Peer Reviewed2025

Evaluating LLM Reasoning in the Operations Research Domain with ORQA

AAAI Conference on Artificial Intelligence (AAAI-25)

Mahdi Mostajabdaveh · Timothy T. Yu · Samarendra Chandan Bindu Dash · Rindranirina Ramamonjison · Jabo Serge Byusa · Giuseppe Carenini · Zirui Zhou · Yong Zhang

Research introducing ORQA, an Operations Research Question Answering benchmark designed to evaluate the ability of large language models to reason through complex operations-research and mathematical-optimization problems.

DOI 10.1609/aaai.v39i23.34673

Research areas

Where software engineering meets scientific exploration.

Large Language Models

Reasoning, evaluation and the application of language models to specialized technical domains.

AI Agents

Tool-augmented intelligent systems capable of interacting with models, data and operational systems.

Operations Research

Exploring the intersection of optimization, planning and modern artificial intelligence.

Applied AI

Using machine learning and explainable AI to investigate real-world problems and complex datasets.

Applied research

Research applied to real problems.

Research2026

Artificial Intelligence Approaches to Type 2 Diabetes and Insulin Resistance

Research comparing deep learning, gradient-boosted machine learning and agentic LLM approaches for understanding and predicting insulin resistance using population health data.

NHANES 2021–2023

Methods

Deep LearningLightGBMAgentic LLMSHAPExplainable AI
Explore research

Research gives us a way to investigate what is possible before it becomes standard engineering.