Maziyar Bahrami

Profile

Profile

PhD researcher in Management (Information Systems) at Luiss Guido Carli University, focused on AI governance, organizational control, and the design of governable digital systems.

Portrait of Maziyar Bahrami

Academic and Professional Profile

Maziyar Bahrami

PhD Researcher in Management (Information Systems) · AI Governance & Organizational Control

My research asks how governance becomes operational: how rules become system mechanisms, how organizations sense and respond to changing risk, and how information infrastructures make distributed technologies visible, verifiable, and actionable. I bring a technical and business background to these questions, with experience in data science, computational modeling, blockchain, analytics, consulting, and digital commerce.

Primary fieldInformation Systems
Research focusAI Governance & Organizational Control
Technical groundingData Science & Distributed Systems
Research approachTheory-led, Design, Causal & Computational
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Background

Different disciplines, one research direction

AI governance is not only a policy problem. It also depends on organizational decision-making, technical architecture, evidence, incentives, and the ability to intervene when conditions change. My background developed across these boundaries before they became the focus of my research.

Engineering gave me a foundation in systems thinking, modeling, simulation, and validation. Finance, consulting, and digital commerce brought attention to incentives, risk, organizations, and decision-making. Data science strengthened my empirical and computational work. Blockchain and federated learning gave me practical exposure to traceability, permissions, verification, and distributed technical architectures.

Information Systems now provides the field in which these experiences come together. Rather than treating them as separate research interests, I use them to study a more focused problem: how AI and digital systems can be governed in ways that are operational, adaptive, and technically credible.

What I Bring to the Research

Technical and organizational grounding

The value of my interdisciplinary background is not breadth for its own sake. It gives me several ways to understand the same governance problem.

01

Systems and Engineering

Computational modeling, simulation, model assumptions, validation, and systems thinking. This background shapes how I think about control, feedback, failure, and the relation between components and system-level outcomes.

02

Business and Organizations

Finance, consulting, commercial analysis, forecasting, market research, and decision support. These experiences help me study governance as an organizational problem involving authority, incentives, uncertainty, coordination, and accountability.

03

Data, AI, and Computation

Statistical analysis, machine learning, NLP, causal methods, programming, and large-scale data work. I use computational methods when they make organizational or governance dynamics more measurable and testable.

04

Distributed Systems and Verification

Blockchain development, federated learning, smart contracts, traceability, permissions, and privacy-preserving verification. This provides a technical basis for research on governance by design and assurance mechanisms.

Education

PhD in Management — Information Systems

Luiss Guido Carli University · Rome, Italy

Research on organizational and frontier AI governance, cybersecurity governance, organizational control, governance by design, and computational methods, under the supervision of Professor Paolo Spagnoletti.

2025–2029

MSc in Data Science and Management

Luiss Guido Carli University · Rome, Italy

Thesis: A Decentralized and Privacy-Preserving Framework for AI Model Training in Healthcare: Integrating Federated Learning and Blockchain. Awarded Best Master's Thesis in Data Management by DAMA Italy in 2025.

2022–2024

MBA in Finance

Kharazmi University · Tehran, Iran

Thesis: Analysis of Hybrid Model Performance in Default Risk Assessment of Companies Listed on the Tehran Stock Exchange.

2015–2017

BSc in Mechanical Engineering

Qom University of Technology · Qom, Iran

Thesis: Computational Modelling and Simulation of a Shell-and-Tube Heat Exchanger.

2010–2014

Research and Selected Projects

Under review

Governance-by-Design of Inter-Organizational Healthcare AI Collaboration

Design Science Research on embedding privacy, accountability, traceability, and verification into a federated healthcare AI architecture. The artifact combines federated learning, machine learning, permissioned coordination, blockchain-based traceability, and privacy-preserving verification.

Research in progress

From Compliance to Resilience: Cybersecurity Governance as an Adaptive Control-Loop Capability

A theory-driven study of how organizations sense changing cyber risk, activate governance responses, monitor outcomes, and adapt control capabilities over time. The empirical design combines computational measurement with longitudinal and causal analysis.

Early-stage research

Making Frontier AI Governable

Research on how interorganizational information infrastructures produce visibility, verification, and control across the AI compute ecosystem. The project examines how resource, information, and authority architectures shape governability across organizational and jurisdictional boundaries.

Peer-reviewed publication · 2021

A Study of Performance of the Hybrid Model in Assessing Default Risk for Companies Listed on the Tehran Stock Exchange

Nabizade, A., & Bahrami, M. Journal of Financial Management Strategy, 9(1), 155–176.

Professional Experience

PhD Researcher in Management — Information Systems

Luiss Guido Carli University · Rome, Italy

Developing theory-driven research on AI governance, cybersecurity governance, organizational control, governance by design, and computational methods.

2025–Present

Blockchain Developer

LaborX · Rome, Italy

Worked with decentralized and blockchain-based technologies, with practical exposure to traceability, permissions, verification, smart contracts, and technical governance mechanisms.

2024–2025

Sales Data Analyst

Golrang Industrial Group / Ofogh Koorosh Chain · Tehran, Iran

Analyzed sales and operational patterns across a large retail network and developed decision-support reporting for commercial and operational teams.

2021–2022

Category Sales Developer

Snapp Group / Bamilo · Tehran, Iran

Supported commercial planning, forecasting, supplier assessment, subcategory performance analysis, and business development in digital commerce.

2018–2019

Business Analyst

The European House – Ambrosetti · Tehran, Iran

Contributed to market research, strategic analysis, and consulting assignments; structured ambiguous business questions and communicated evidence to decision-makers.

2017–2018

Computational Fluid Dynamics Engineer

Iran Polymer and Petrochemical Institute · Tehran, Iran

Conducted computational modeling, simulation, engineering analysis, validation, and technical communication.

2014–2017

Methods, Technical and Business Skills

Theory and Research Design

Information Systems and organization theory, Design Science Research, case and process research, policy analysis, theory-driven construct development, qualitative coding, and mixed-method research design.

Quantitative and Computational Research

Statistical analysis, econometrics, causal inference, panel and quasi-experimental designs, text-as-data, NLP, machine learning, causal machine learning, network analysis, large-scale data processing, and visualization.

AI and System Design

Federated learning, model evaluation, feature engineering, privacy-preserving verification, blockchain, smart contracts, distributed coordination, computational modeling, and simulation.

Programming and Data

Python, R, STATA, MATLAB, Solidity, SQL, Power BI, Tableau, and Excel.

Business and Decision Analysis

Market and industry research, financial analysis, forecasting, supplier and category analysis, operational reporting, strategy support, and evidence communication for decision-makers.

Working Across Domains

Experience translating between organizational questions, technical systems, quantitative evidence, and practical constraints — a capability I now apply directly to AI governance research.

Honors and Awards

  • Best Master's Thesis in Data ManagementDAMA Italy · 2025
  • Full Tuition Waiver ScholarshipLuiss Guido Carli University · 2022
  • Full Tuition Waiver ScholarshipMBA Program · National Award · 2015
  • Top 1% in the Iranian National Master's Entrance Examination2015
  • Full Tuition Waiver ScholarshipBSc in Mechanical Engineering · National Award · 2010