[
AI2
]
LAB
Artificial Intelligence & Applied Innovation
Intelligence.
Innovation.
Impact.
Fresh from WSC 2025
Winter Simulation Conference • Seattle
Lab Director
Mohammad Dehghani
Associate Teaching Professor | MIE
[
AI2
]
Director | AI² Lab
Director | Galante Engineering Business Program 10 yr
SparkHub
Live
Where student ideas come to life.
Explore
Collection 01
Generative AI
LLMs, agentic AI, RAG systems & prompt engineering
4 projects
Collection 02
Data Visualization
Interactive dashboards, storytelling with data & data art
Coming soon
Research Areas
01
Agentic AI
Autonomous AI agents, multi-agent systems, LLM-powered decision making, and generative AI integration with simulation.
02
Simulation & Optimization
Discrete-event simulation, stochastic optimization, iterative optimization-based simulation (IOS), and digital twins.
03
Reinforcement Learning
Deep RL integration with simulation for manufacturing, scheduling, and intelligent decision-making systems.
04
Healthcare & Supply Chain
Patient scheduling, CAR T-cell therapy logistics, inventory optimization, UAV routing, and network design.
Research Team
Current Students 4
Research Topic
Simulation, Optimization, and AI-Enabled Models for CAR T-Cell Therapy Supply Chain
About the Research
CAR-T cell therapy is an advanced form of personalized cancer treatment in which a patient's own immune cells are engineered to recognize and destroy cancer cells. Because each treatment is uniquely produced for an individual patient, the supply chain is highly complex and time sensitive, involving patient scheduling, manufacturing, and delivery coordination. Negar's research aims to develop and evaluate multiple solution approaches, based on simulation, optimization, and AI-enabled models, to better manage uncertainties in patient demand, processing time, and transportation. Her work seeks to identify cost-effective and reliable strategies for improving the overall efficiency and resilience of CAR-T cell therapy delivery.
Research Topic
Elicitron: AI Agent-Based Simulation Framework for Design Requirements Elicitation
About the Research
A lightweight framework that uses AI agents to simulate user interviews and generate product requirements automatically. It helps teams explore user needs, uncover hidden pain points, and speed up early-stage product discovery. The framework leverages Large Language Models to create diverse simulated users for comprehensive requirements gathering.
Research Topic
Agentic AI Applications in Finance
About the Research
This research explores the application of autonomous AI agents in financial systems. The work investigates how intelligent agents can automate complex financial tasks, make data-driven decisions, and optimize financial operations while maintaining transparency and compliance.
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PhD Dissertation Committee
5 — Served as committee member
Publications
Publication Timeline
0
publications
Journals
Conferences
Books
2026
SimGPT: Unlocking Potentials of Generative AI in Simulation via Simio and LLM Integration
2026
The AI-driven Decision-Making (AIDM) Framework: Integrating AHP and ChatGPT for Supplier Selection
2020
A Two-Stage AHP Multi-Objective Simulation Optimization in Healthcare
2020
Concrete Construction: Environmental and Economic Sustainability in Cold Climates
2018
Optimizing Supply Chain Configuration and Production-Sales Policies
2017
A Novel Iterative Optimization-Based Simulation (IOS) Framework
2016
Weighted Monte Carlo Simulation for Risk Assessment of ISMS
2025
Simulation-Based Optimization of CAR T-cell Therapy Supply Chain
2023
An AI-Enabled Simulation: Neural Network in Flexible Flow Shop
2022
Conf
2022
Tutorial: Combining Flexsim with Python for Discrete-Event Simheuristics
2021
Conf
2020
Agile Simheuristic for Stochastic Team Task Assignment: UAV Applications
Awards
2025
Data Analytics and Information Systems (DAIS) Teaching Award
Institute of Industrial and Systems Engineers (IISE)
2025
Galante Exemplary Service Award
Northeastern University
2020
Fostering Engineering Innovation in Education Award
Northeastern University, College of Engineering
2015
Best PhD Student Paper Award
Winter Simulation Conference (WSC)
Courses
10
Courses
2,500+
Students
17+
Years Teaching
Notable Teaching Assistants
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