What UF Warren B. Nelms Institute for the Connected World does

The Warren B. Nelms Institute for the Connected World is a university research institute at the University of Florida that conducts research, education, and workforce development at the convergence of Artificial Intelligence and the Internet of Things ("AIoT"). Founded in 2017 through a $5M donation from David and Daryl Nelms and directed since 2019 by Dr. Swarup Bhunia, the institute coordinates 61 multidisciplinary faculty drawn from departments and colleges across UF, 75+ active research projects in 2026, and a portfolio of academic programs, competitions, and outreach events. It is housed in Malachowsky Hall alongside the Florida Institute for Cybersecurity Research and the Florida Semiconductor Institute.

The institute operates as a research and education platform rather than a single commercial product. Its technical work spans brain-computer interfaces (an EEG-enabled handwriting recognition system running on NVIDIA Jetson TX2 at ~89.83% accuracy with ~202.62 ms per-character latency), embedded machine learning for wearables (Safe&Sound hearing-assistive device with on-device environmental sound classification), federated learning for LLMs on edge devices, foundation models for healthcare, hardware security assurance (HaHa and AHA educational boards, the CAD for Assurance initiative), and computer vision for environmental applications. Academic outputs include IoT graduate and undergraduate certificates, IoT courses, an IoT Students Club with an annual design competition (15 teams in 2025), and a portfolio of 51 patents and invention disclosures since 2021. Shared research infrastructure includes the IoT/CPS Security Vulnerability Database and the NQR Database.

The institute is funded almost entirely through research grants rather than commercial sales. Cumulative research funding since 2021 stands at $45M+ from federal agencies (NSF, NASA, DARPA, ONR) and the State of Florida, of which $12M is specifically allocated to workforce development. Supplemental industry support comes from NVIDIA (GPU compute and edge devices), L3Harris (graduate fellowships), IEEE CEDA (CAD for Assurance webinars), and the Cade Museum (K-12 programming). Services are offered at no charge to participants, and the institute does not operate a pricing model.

Name

UF Warren B. Nelms Institute for the Connected World

Legal name

Warren B. Nelms Institute for the Connected World

Website

https://iot.institute.ufl.edu

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Short description

The Warren B. Nelms Institute for the Connected World is a University of Florida research institute conducting AIoT research and education across 75+ projects with 61 faculty, funded primarily by $45M+ in federal research grants since 2021.

Ownership category

akta.pro rank

Product category

Academic Research Institute

NAICS

Scientific Research and Development Services (5417), Other Computer Related Services (541519)

SIC

Services-Commercial Physical & Biological Research (8731), Services-Prepackaged Software (7372)

akta.pro primary industry

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

akta.pro secondary industries

Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA)

Keywords

• Internet of things research
• Artificial intelligence research
• Hardware security research
• Wearable sensor technology
• Workforce development programs

Headquarters

HQ city

Gainesville

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, Infrastructure, Marketing or Sales

Revenue model

1. Research Grants and Funding: Primary funding from federal agencies including NSF ($45M+ since 2021), NASA, DARPA, ONR, and state of Florida. Funding supports research projects, workforce development, and education initiatives.
2. Workforce Development Funding: $12M allocated specifically for education programs and workforce development activities, including K-12 engagement, veterans training, and community college instructor programs.

Go-to-market motion3 records

Distribution channels4 records

Marketing channels5 records

Core offering

The Warren B. Nelms Institute for the Connected World is an academic research institute at the University of Florida that conducts research at the convergence of Artificial Intelligence and the Internet of Things (AIoT). It delivers graduate and undergraduate certificate programs in IoT, IoT courses, and workforce training in microelectronics, hardware security, and AI; operates AIoT research spanning brain-computer interfaces, smart wearables, federated learning, and embedded ML; and maintains open research resources such as the IoT/CPS Security Vulnerability Database and the NQR Database for the research community.

Product overview

The Warren B. Nelms Institute for the Connected World is a research institute at the University of Florida that focuses on AIoT (Artificial Intelligence of Things) research, education, and workforce development. The institute operates as a platform of interconnected programs rather than a single product: it hosts the annual Warren B. Nelms IoT Conference, manages the IoT Students Club with annual design competitions, and delivers academic programs including IoT Graduate/Undergraduate Certificates and IoT Courses. The institute supports research through initiatives like CAD for Assurance (hardware security webinars) and resources like the IoT/CPS Security Vulnerability Database and NQR Database. Workforce development programs span microelectronics education, hardware security training (including the HaHa hardware hacking platform and AHA board for AI education), and K-12 outreach. The institute's research portfolio covers AIoT Technology & Applications, including brain-computer interfaces, smart wearables, federated learning, and foundation models for healthcare.

Differentiator

Problem solved

Functional benefit

Products and services

• IoT Graduate Certificate Graduate-level academic certificate program in Internet of Things technology and applications offered by the institute, providing students with advanced credentials in IoT systems.
• IoT Undergraduate Certificate Undergraduate-level academic certificate program in Internet of Things offered for students seeking formal credentials in IoT technology and applications.
• IoT Courses Formal university course offerings in Internet of Things technology and applications for enrolled students.
• IoT Training Workforce training programs in IoT technology, hardware security, and cybersecurity for K-12 students, veterans, community college instructors, and industry professionals.

Quantifiable outcome

• 89.83% accuracy in real-time EEG handwriting recognition with 202.62ms latency on edge device
• +2 more outcomes

Named customers3 records

Segments3 records

Ideal customer profiles3 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

Seven partnerships are on record, tiered core and secondary.

• NVIDIAcoreTechnology or Integration · 1 January 2026NVIDIA Academic Grant Award providing GPU time and edge devices to Dr. Jingwei Sun and Dr. My T. Thai for Personalized BP-free Federated Learning System research. Framework deployed across NVIDIA's FLARE platform for training and evaluation.
• NASAcoreStrategic or Co-development Partner · 1 January 2025NASA University Leadership Initiative (ULI) project TRANSCEND - Trustworthy Resilient Autonomous Agents for Safe City Transportation. Multi-university collaboration led by Dr. Sandip Ray at UF with Dr. Swarup Bhunia as partner, developing framework for safety and trustworthiness of machine-learning-enabled autonomous aviation systems.
• IEEE Council on Electronic Design Automation (CEDA)coreStrategic or Co-development Partner · 1 January 2025CAD for Assurance initiative chaired by Dr. Swarup Bhunia, aimed at addressing growing need for reliable and secure tools and methodologies in hardware design. Shares academic tools and research with broader community through webinar series.
• Cade Museum for Creativity and InventionsecondaryStrategic or Co-development Partner · 1 January 2025Partnership with Cade Museum in Gainesville, FL to deliver two-week summer camp 'AI & Microelectronics – Build, Innovate, Create!' for middle school students. Uses kid-friendly version of AHA board for hands-on learning.
• University of MinnesotasecondaryStrategic or Co-development Partner · 1 January 2025INQUIRE project collaboration on quantum-inspired learning for undergraduates in research and engineering, addressing both software and hardware aspects of quantum information science.
• Scientist for Every Florida SchoolsecondaryStrategic or Co-development Partner · 1 January 2025NSF DRK-12 project leveraging partnership with Scientist for Every Florida School network to engage high school students in microelectronics and AI education across Florida, Kansas, and Texas.
• North Carolina A&T and Prairie View A&M UniversitysecondaryStrategic or Co-development Partner · 1 January 2024Collaborative Remote Access to Digital Immersive AIoT Education project providing state-of-the-art labs to broader student audience. Directly impacts over 30 instructors and 1,500 undergraduate students across institutions.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Regional players

• ETH Zurich AI Center: ETH Zurich's multidisciplinary AI research center. Comparable in responsible AI and AI security research focus, with global research recognition and a comparable academic + industry partnership model — though with a stronger European funding base.
• UC San Diego Halıcıoğlu Data Science Institute: UCSD's cross-disciplinary AI/data science institute. Comparable in academic AI/ML research structure and federal funding model, with a complementary focus on healthcare AI that overlaps with Nelms' wearable and foundation models work.

Direct peers

• Georgia Tech Institute for Robotics and Intelligent Machines: Georgia Tech's multidisciplinary AI/robotics/IoT research hub. Closely comparable to Nelms in research scope (AIoT, hardware security, autonomous systems), federal funding sources, and workforce development programs targeting K-12 through PhD pipelines.
• Purdue University Elmore Family School of Electrical and Computer Engineering: Purdue's ECE department, where Director Dr. Swarup Bhunia earned his PhD. Comparable in hardware security and IoT research focus, with strong alumni ties to Nelms and a federal funding profile targeting DARPA, NSF, and semiconductor industry partners.
• University of Florida Florida Institute for Cybersecurity Research (FICS): UF's sister cybersecurity research institute co-located with Nelms in Malachowsky Hall. Directly comparable in cybersecurity and hardware security research scope, shares faculty and infrastructure, and is a natural collaborator-competitor for federal cybersecurity funding.

Broad incumbents

• University of Michigan AI Lab: University of Michigan's AI research group covering AI, robotics, and embedded systems. Comparable to Nelms in AIoT research focus and federal funding profile, with established industry partnerships in automotive and IoT security.
• MIT Computer Science and Artificial Intelligence Laboratory (CSAIL): MIT's flagship AI and computer systems research lab. CSAIL is a comparable multidisciplinary academic research institute with significantly greater scale and global recognition, working on AI, IoT, and embedded systems security — a direct benchmark for research output and federal funding pull.
• Berkeley AI Research (BAIR): UC Berkeley's AI research lab covering ML, robotics, computer vision, and NLP. A leading academic AI research operation with comparable multidisciplinary faculty structure and federal funding base, and a strong record of industry spinouts.
• Carnegie Mellon Robotics Institute: CMU's premier robotics and AI research institute. Comparable to Nelms in its focus on autonomous systems, IoT, and AI-hardware integration, with substantially deeper commercial translation pathways and historical federal funding depth.
• Stanford Institute for Human-Centered Artificial Intelligence (HAI): Stanford's AI research institute focused on responsible, human-centered AI with strong industry and government funding. Comparable to Nelms in its responsible AI and governance focus, but at substantially larger scale and with deeper industry commercialization pathways.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/Nelms_Institute
• YouTubeyoutube.com/@UFNelmsInstitute
• Facebookfacebook.com/UFNelmsIoTInstitute
• LinkedInlinkedin.com/school/uf-nelms-iot-institute

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about UF Warren B. Nelms Institute for the Connected World