Selected work.

Adaptive Information Modulation: Designing Governance Mechanisms for Multi-Agent AI Systems

Q. Chen, S. Ilami, N. Lorè, & B. Heydari

Journal of Mechanical Design (in press).

Architecting adaptive networks: Reinforcement learning with generative policies for multi-agent governance

Q. Chen & B. Heydari

Journal of Mechanical Design, 148(1): 011701.

Communication Enhances LLMs' Stability in Strategic Thinking

N. Lorè & B. Heydari

arXiv preprint, arXiv:2602.06081.

arXiv

The Architecture of Illusion: Network Opacity and Strategic Escalation

R. Ebrahimi, S. Ilami, B. Heydari, I. Trevino, & M. Franceschetti

arXiv preprint, arXiv:2602.10053.

arXiv

Cognitive Heuristics are Necessary for Human-Like Multi-Agent Dynamics in Large Language Models

H. Zhu & B. Heydari

SSRN working paper, 6277139.

SSRN

Extreme Design: An Editorial on a New Research Framework Within Engineering Design

T. Marion, M. Yang, A. Banzaert, K. Becker, E. Brubaker, R. Bruggeman, et al.

Journal of Mechanical Design, 147(12): 120301.

Network Topology Matters, But Not Always: Mobility Networks in Epidemic Forecasting

S. Ilami, Q. Cao, & B. Heydari

arXiv preprint, arXiv:2510.20025.

arXiv

Core or Periphery: Examining Where to Allocate Heterogeneous Inventors and the Impact on Firms' Innovation

B. Heydari, S. Chattopadhyay, S. Padhee, & S. Karim

Strategic Management Journal.

Publisher

Generative Network Design for Multi-Agent Coordination: A VAE-Assisted Deep RL Approach

Q. Chen & B. Heydari

ASME Journal of Mechanical Design, 147.

Publisher arXiv

Evolution of Innovation in Technology Life Cycle: Isolating Innovation Legacy from Quality

S. Padhee & B. Heydari

SSRN working paper, 5283897.

SSRN

Networks and Graphs for Engineering Systems and Design (Editorial)

Z. Sha, A. Layton, B. Heydari, & D.L. Van Bossuyt

Journal of Computing and Information Science in Engineering, 25(6): 060301.

Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach

Q. Chen & B. Heydari

ASME Journal of Computing and Information Science in Engineering, 25(6): 061006.

Publisher arXiv

Competing for Attention: Explainable Deep Reinforcement Learning for Behavior-Aware Recommendations

Q. Cao, Q. Chen, & B. Heydari

SSRN working paper, 5284387.

SSRN

Collective Artificial Intelligence: Specialist-Generalist Network Structures & Task Performance

J. Meluso, L. Hébert-Dufresne, B. Heydari, C. Riedl, & H.O. Gao

Working paper.

The Shifting Dynamics of Online Knowledge Platforms and the Implications for Generative AI Sustainability

B. Heydari & N. Maddah

SSRN working paper, 5117087.

SSRN

Platform-Driven Collaboration Patterns: Structural Evolution Over Time and Scale

N. Maddah & B. Heydari

IEEE Transactions on Computational Social Systems, 11(6): 7814–7829.

Strategic Behavior of Large Language Models and the Role of Game Structure versus Contextual Framing

N. Lorè & B. Heydari

Scientific Reports, 14(1): 18490.

Publisher

The SoS Conductor: Orchestrating Resources with Iterative Agent-Based Reinforcement Learning

Q. Chen & B. Heydari

Systems Engineering, 27(4): 715–727.

The Echo Chambers of Complexity: How Task Complexity Influences Team Groupthink and Individual Exploration

S. Padhee & B. Heydari

SSRN working paper, 4892421.

SSRN

Building Back Better: Modeling Decentralized Recovery in Sociotechnical Systems Using Strategic Network Dynamics

N. Maddah & B. Heydari

Reliability Engineering & System Safety, 246: 110085.

Publisher DOI

Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing

N. Lorè & B. Heydari

arXiv preprint, arXiv:2309.05898.

arXiv

Design Teams and Industry Life Cycles: The Interplay of Innovation and Complexity

S. Padhee, N. Lorè, & B. Heydari

Systems Engineering, 26(5): 604–617.

Evolution of Innovation in Industry Life Cycles: A Complex Network Perspective

S. Padhee & B. Heydari

Proceedings of the Design Society, 3: 1705–1714.

Reengineering the Sharing Economy: Design, Policy, and Regulation

B. Heydari, O. Ergun, R. Dyal-Chand, & Y. Bart (Eds.)

Cambridge University Press (book).

Core or Periphery: Where Should Firms Locate Exploring Innovators? An NK-Model Investigation

B. Heydari, S. Chattopadhyay, S. Padhee, & S. Karim

Strategic Management Society 42nd Annual Conference.

Dynamic Resource Allocation in Systems-of-Systems Using a Heuristic-Based Interpretable Deep Reinforcement Learning

Q. Chen & B. Heydari

Journal of Mechanical Design, 144(9): 091711.

Micro-level Social Structures and the Success of COVID-19 National Policies

Q. Cao & B. Heydari

Nature Computational Science, 2(9): 595–604.

Publisher

A Multisource Database Tracking the Impact of the COVID-19 Pandemic on the Communities of Boston, MA, USA

A. Ristea, R. Tucker, S. You, M. Amiri, N. Beauchamp, E. Castro, Q. Chen, et al.

Scientific Data, 9(1): 330.

When Do Coalitions Survive Over Time? Stationary Stability in Dynamic Cooperative Games

B. Heydari & P. Heydari

SSRN working paper.

Airbnb and Neighborhood Crime: The Incursion of Tourists or the Erosion of Local Social Dynamics?

L. Ke, D.T. O'Brien, & B. Heydari

PLoS ONE, 16(7): e0253315.

Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation

Q. Chen, B. Heydari, & M. Moghaddam

Journal of Mechanical Design, 143(7): 071701.

The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States

R. Abouk & B. Heydari

Public Health Reports, 136(2): 245–252.