Criminal Investigations and Network Analysis Center at George Mason University

What Criminal Investigations and Network Analysis Center at George Mason University does

The Criminal Investigations and Network Analysis Center (CINA) is a multidisciplinary academic research consortium led by George Mason University and designated as a Department of Homeland Security Center of Excellence, funded by the DHS Science and Technology Directorate's Office of University Programs. CINA develops tools, technologies, and training solutions to advance criminal network analysis, forensics, and investigative processes for the Homeland Security Enterprise, with research organized across four primary themes: Criminal Network Analysis, Dynamic Patterns of Criminal Activity, Forensics, and Criminal Investigative Processes. The center coordinates 157+ investigators from a consortium that includes seven core partner universities—University of Notre Dame, Virginia Tech, Rensselaer Polytechnic Institute, Carnegie Mellon University, Michigan State University, Purdue University, and Rutgers University—plus ten additional partner institutions spanning disciplines from criminal justice and computer science to engineering and policy studies.

The center's technology portfolio spans graph-based multi-source digital forensic analysis frameworks, deep learning knowledge graph extraction from publicly available text for criminal network mapping, human-AI collaborative visual analytics for financial crime detection, CycleGAN-based synthetic latent fingerprint generation, Android memory forensics-guided execution reconstruction, and spatio-temporal models for cybercrime prediction. These capabilities are delivered not as commercial products but as research outputs transitioned to operational DHS users including Homeland Security Investigations (HSI), U.S. Customs and Border Protection (CBP), U.S. Secret Service (USSS), Cybersecurity and Infrastructure Security Agency (CISA), and U.S. Immigration and Customs Enforcement (ICE).

CINA's business model is that of a federally funded research consortium rather than a commercial enterprise: there is no pricing model, no commercial revenue, and no equity structure. Funding flows through DHS grants and George Mason University administration, with research awards issued via annual and targeted RFPs typically ranging from $50,000 to $250,000 per project over 6–24 month durations. The center supplements its research mission with internship programs at DHS components, workforce development initiatives including minority-serving institution engagement, and dissemination channels including a Distinguished Speaker Series, monthly newsletters, and a Director's Blog.

Name

Criminal Investigations and Network Analysis Center at George Mason University

Legal name

Criminal Investigations and Network Analysis Center at George Mason University

Website

https://cina.gmu.edu

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

CINA is a DHS Center of Excellence academic consortium led by George Mason University that develops AI-enabled tools for criminal network analysis, digital forensics, and investigative processes, serving federal law enforcement and homeland security stakeholders.

Ownership category

akta.pro rank

Product category

Homeland Security Research and Forensics

NAICS

Colleges, Universities, and Professional Schools (6113), Colleges, Universities, and Professional Schools (611310), Colleges, Universities, and Professional Schools (61131)

akta.pro industry

PRIMARYEDAHAAAC

Public Research Universities with Academic Medical Centers (AMCs)

Education/Higher Education (Colleges & Universities)/Public Research Universities

SECONDARYBPAKADAG

Security Governance, Risk & Compliance (GRC) Advisory

Business & Public Services/Security & Investigations Services/Security Consulting, Risk Assessment & Audits

Keywords

• Criminal network analysis
• Homeland security research
• Digital forensics tools
• Law enforcement training
• Transnational crime research

Headquarters

HQ city

Fairfax

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales

Revenue model

1. Federal Funding (DHS S&T Directorate): CINA is a DHS Center of Excellence funded by the Science and Technology Directorate's Office of University Programs to pursue multidisciplinary approaches to address disruption of criminal activities
2. Research Grants: Funded research projects through annual and targeted RFPs with funding levels typically ranging from $50k to $250k per year, projects ranging from 6-24 months in duration

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Core offering

CINA is a multidisciplinary academic consortium led by George Mason University that conducts research and develops tools, technologies, and educational/training solutions to advance criminal network analysis, forensics, and investigative processes for the homeland security enterprise. It pursues four primary research themes — Criminal Network Analysis, Dynamic Patterns of Criminal Activity, Forensics, and Criminal Investigative Processes — and delivers research outputs, workforce development programs, and internship opportunities to federal, state, local, tribal, and territorial law enforcement.

Product overview

CINA (Criminal Investigations and Network Analysis Center) is a multidisciplinary academic consortium led by George Mason University and sponsored by the DHS Science and Technology Directorate's Office of University Programs. Rather than a commercial product company, CINA operates as a research consortium that develops and provides tools, technologies, educational programs, and training solutions. The core research areas include Criminal Network Analysis, Dynamic Patterns of Criminal Activity, Forensics (both digital and traditional), and Criminal Investigative Processes. The portfolio includes deep learning knowledge graph extraction tools for analyzing criminal networks from text, adaptive graph-based digital forensic analysis frameworks, human-AI-collaborative visual analytics for financial crimes detection, memory forensics tools, synthetic fingerprint generators, and workforce development programs. These products are research outputs designed for DHS and homeland security stakeholders rather than commercial market products.

Differentiator

Problem solved

Functional benefit

Products and services

• Criminal Network Analysis Research Multidisciplinary research equipping homeland security enterprise stakeholders with understanding and tools to monitor and disrupt criminal networks including gang activities, money laundering, and human trafficking.
• Dynamic Patterns of Criminal Activity Research Cutting-edge methods, tools, and analyses to predict future criminal activities, gang activity, and threats across geographical, social, and cyber dimensions for the homeland security enterprise.
• Forensics Research State-of-the-art forensic methods, tools, and technologies including digital forensics, traditional laboratory forensics, and multimedia analysis developed for the homeland security enterprise.
• Criminal Investigative Processes Research Research improving investigative processes used to detect, pursue, and solve transnational criminal activity through innovative tools and analyses for homeland security end users.
• Deep Learning Knowledge Graph Extraction Automates building and analyzing models of criminal networks from textual data using natural language processing and deep learning to understand operations, changes, and countermeasures.
• Adaptive Graph-based Multi-Source Digital Forensic Analysis Graph-based framework using machine learning to analyze data from multiple sources, building correlation graphs to capture explicit and implicit relationships across diverse datasets for anomaly detection.
• Human-AI-Collaborative Visual Analytics for Financial Crimes Intelligent system combining AI-powered analysis with human expertise for real-time monitoring, characterization, and detection of financial crimes including money laundering and fraud.
• Memory Forensics-Guided Execution Reconstruction for Android Tool for recovering and understanding data from Android device memory using execution reconstruction algorithm with symbolic and concolic execution capabilities.
• Volatility Memory Forensics Framework with STIX Support Integration of STIX threat intelligence language into the Volatility memory forensics framework to facilitate sharing of memory forensics knowledge and generate reports on malicious activity.
• Synthetic Latent Fingerprint Generator CycleGAN-based system that generates multiple synthetic latent fingerprint impressions from full prints with controlled distortion, noise, blurriness, and occlusion levels for training augmentation.
• Education and Workforce Development Programs Cross-disciplinary academic courses, professional development methods, and Minority Serving Institution-focused workforce diversity programs integrating CINA research findings for homeland security professionals.
• Internship Opportunities Summer internship and training opportunities with DHS components including HSI, CBP, and the Cyber Crimes Center that allow students to support the national security mission.

Quantifiable outcome

• 96+ academic publications produced
• +3 more outcomes

Named customers9 records

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability16 records

Feature5 records

Partnerships

18 partnerships are on record, tiered core and minor.

• University of Notre DamecoreStrategic or Co-development PartnerPartner university contributing to CINA's multidisciplinary research consortium for criminal network analysis and forensic methods development.
• Virginia TechcoreStrategic or Co-development PartnerPartner university contributing researchers and expertise to CINA research themes, including financial crime analytics and network interdiction.
• Rensselaer Polytechnic InstitutecoreStrategic or Co-development PartnerPartner university contributing to CINA research in digital forensics and criminal network analysis.
• Carnegie Mellon UniversitycoreStrategic or Co-development PartnerPartner university contributing expertise in machine learning and computational approaches to criminal network analysis.
• Michigan State UniversitycoreStrategic or Co-development PartnerPartner contributing research on cybercrime, dark web markets, and illicit economies.
• Purdue UniversitycoreStrategic or Co-development PartnerPartner university contributing to criminal justice and forensic research within the consortium.
• Rutgers UniversitycoreStrategic or Co-development PartnerPartner university contributing to CINA research on transnational crime and criminal networks.
• Clemson UniversityminorStrategic or Co-development PartnerContributing research on criminal network formation and disruption, particularly regarding synthetic drug trafficking operations.
• Louisiana State UniversityminorStrategic or Co-development PartnerContributing digital forensics research, particularly in mobile device memory analysis and Android forensics.
• Arizona State UniversityminorStrategic or Co-development PartnerContributing research on spatio-temporal patterns of cybercrime across the United States.
• Florida International UniversityminorStrategic or Co-development PartnerContributing workforce development and AI training research for criminal activity recognition, particularly as a Minority Serving Institution.
• Northeastern UniversityminorStrategic or Co-development PartnerContributing network interdiction models research for labor trafficking disruption efforts.
• University of WashingtonminorStrategic or Co-development PartnerContributing research on property investments and crime patterns, real estate and crime analysis.
• William and MaryminorStrategic or Co-development PartnerPartner institution contributing geospatial and remote sensing expertise to research activities.
• Virginia Commonwealth UniversityminorStrategic or Co-development PartnerContributing cybersecurity and industrial control systems forensics research.
• CUNY Baruch CollegeminorStrategic or Co-development PartnerContributing research on gang networks and human trafficking in Latin America and the Caribbean.
• Babson CollegeminorStrategic or Co-development PartnerContributing expertise on human trafficking and modern slavery through its Initiative on Human Trafficking and Modern Slavery.
• George Mason University CollegescoreStrategic or Co-development PartnerCore consortium colleges including College of Humanities and Social Sciences, College of Science, Schar School of Policy and Government, School of Business, School of Conflict Analysis and Resolution, and College of Engineering and Computing providing multidisciplinary research foundation.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Coastal Resilience Center (CRC): University of North Carolina at Chapel Hill-based DHS Center of Excellence focused on coastal hazards, infrastructure resilience, and disaster response research. Identical DHS CoE designation and academic consortium delivery model.
• Critical Infrastructure Resilience Institute (CIRI): University of Illinois Urbana-Champaign-based DHS Center of Excellence focused on critical infrastructure systems and resilience. Shares DHS CoE designation, consortium-of-universities model, and federal RFP funding mechanism with CINA.
• National Counterterrorism Innovation, Technology, and Education Center (NCITE): University of Nebraska Omaha-based DHS Center of Excellence dedicated to counterterrorism research, technology evaluation, and workforce development. Directly comparable mission scope, CoE designation, and consortium delivery model to CINA.
• Maritime Security Center: Stevens Institute of Technology-based DHS Center of Excellence addressing maritime domain awareness, port security, and supply chain risk. Operates as a multi-university consortium with DHS S&T funding — comparable structure to CINA.
• Center for Accelerating Operational Efficiency (AOE): Arizona State University-based DHS Center of Excellence applying AI and data analytics to public safety and homeland security operations. Comparable consortium model, DHS funding, and applied research focus on criminal/operational analytics.
• Center for Risk and Economic Analysis of Terrorism Events (CREATE): USC-based DHS Center of Excellence focused on risk analysis, economic impacts of terrorism, and homeland security decision support. Same DHS CoE designation, same academic consortium operating model, same federal RFP-driven research output.
• National Consortium for the Study of Terrorism and Responses to Terrorism (START): University of Maryland-based DHS Center of Excellence using a consortium model to conduct homeland security social science research. Operates under identical funding structure (DHS S&T cooperative agreement) and serves the same federal end-user community as CINA.

Others

• RAND Corporation: Nonprofit policy research organization with substantial homeland security and criminal justice research portfolio for federal sponsors. Adjacent peer — comparable research-output model but non-academic, non-consortium, broader policy focus.
• National Institute of Justice (NIJ): DOJ's research, development, and evaluation agency funding criminal justice and forensic science research. Adjacent federal sponsor — comparable research-funding mechanism and overlapping criminal justice/forensics mission with CINA.

Broad incumbents

• Carnegie Mellon University Software Engineering Institute (SEI): Federally Funded Research and Development Center (FFRDC) addressing cybersecurity, software assurance, and digital forensics. Overlaps with CINA's digital forensics and cybersecurity research themes but operates as a single-institution FFRDC rather than a multi-university consortium.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/CINAatMason
• YouTubeyoutube.com/channel/UC9-vpBmjX6Hujd1LQ65Lf2A
• Facebookfacebook.com/CINAatMason
• LinkedInlinkedin.com/company/cina-gmu
• Instagraminstagram.com/cinaatmason

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Criminal Investigations and Network Analysis Center at George Mason University