DTEVV Workshop
February 4-5, 2026
California, MD

Register Now

Please Note: Due to the government shutdown, this workshop (originally scheduled for November 17-18, 2025) will now be held February 4-5, 2026.

Pilot flies drone in open lab spaceThe DTEVV Workshop will be held February 4-5, 2026 at the USMSM SMART Building.

This event will map out the priority research and workforce challenges that need to be addressed to advance the DTEVV of autonomous technologies.

You must be registered to attend. Registration closes January 21, 2026.

REGISTER NOW

Technology continues to rapidly evolve, including the prominent integration of intelligent/autonomous capabilities. Systems - including those intended for the military, homeland security, and first response domains - are moving closer to greater intelligence every day. Every emergent capability and system require some form of assessment; current test and evaluation practices are unable to keep pace with this evolution. The result is a slowdown in the development, assessment, certification, and adoption of these technologies.

The Development, Test, Evaluation, Verification & Validation (DTEVV) Workshop will bring together T&E and autonomous systems professionals from the United States government, academia, and industry to map out the priority research and workforce challenges that need to be addressed to advance the DTEVV of these technologies.

As a workshop participant, you will:

  • Highlight existing and projected research priorities in the autonomous system landscape that will require T&E/V&V
  • Hear lessons learned and best practices from other DTEVV practitioners
  • Provide input toward a DTEVV of Autonomy curriculum that will shape the future workforce
  • Contribute your T&E/V&V of autonomous systems 'wants' and 'needs' to the conversation to help identify priority topic areas

You must be registered to attend. Registration closes January 21, 2026. Register Now

This workshop is being hosted by the University of Maryland MATRIX Lab in partnership with the University of Maryland Applied Research Laboratory for Intelligence and Security (ARLIS) with support from the Office of Naval Research, the University of Maryland Clark School of Engineering, and the University of Maryland Institute for Systems Research. Email matrix@umd.edu if you have any questions about this event.

 

Day 1: Research Day

8:00 a.m. Registration (Coffee and light refreshments will be available) -----
9:00 a.m. Welcome Reza Ghodssi
Executive Director of Research and Innovation
Distinguished University Professor
University of Maryland MATRIX Lab
9:05 a.m. Opening Remarks Samuel Graham, Jr.
Dean, A. James Clark School of Engineering
University of Maryland
9:15 a.m. Workshop Overview Donald "Bucket" Costello III
Director of Test and Evaluation of Autonomous Systems
University of Maryland MATRIX Lab
9:30 a.m. AM Keynote (TBA) Speaker to be announced
10:15 a.m. Break -----
10:30 a.m.

AM Panel: "Emergent DTEVV Research Areas"

The increasing importance of test and evaluation has bred various lines of T&E-driven research, often occurring in parallel with specific technology development. From robotics to autonomous systems, T&E/V&V practices have had to evolve to ensure they capably and rigorously assess emergent technologies. This panel will dive into some of these T&E research activities and the driving technologies along with the practical insight that they have gained in their efforts. Panelists will be further engaged on successes, even early ones, best practices they have developed along with challenges they have faced along the way.

Moderator
Brian A. Weiss
Research Engineer
University of Maryland Applied Research Laboratory for Intelligence and Security (ARLIS)

Panelists
George Hwang
Chief Technologist, AI/Autonomy Division, Advanced Development Department
Naval Air Warfare Center Aircraft Division (NAWCAD)

Additional panelists to be announced

12:00 p.m.

Lunch and PM Keynote (TBA)

Lunch will be provided

Speaker to be announced
1:15 p.m.

PM Panel: "Predictions About What is Needed in T&E"

The technological landscape is rapidly evolving, particularly with the exponential growth of artificial intelligence (AI), machine learning (ML), and the resultant systems they are instantiated. Even for the seasoned technologist, it was hard to predict the current state of technological development ten years ago. Considering the current state of AI and ML-driven technologies, it will likely be more difficult to predict the technological growth, and the corresponding T&E/V&V efforts, over the next ten years. This panel will explore the arc of technology, emphasizing the DTEVV of autonomous systems in recent years and discuss how the landscape will continue to evolve to meet the demand of predicted technologies.

Moderator
Donald "Bucket" Costello III
Director of Test and Evaluation of Autonomous Systems
University of Maryland MATRIX Lab

Panelists
Oleg V. Sokolsky

Program Director, Computer and Information Science and Engineering (CISE)
U.S. National Science Foundation (NSF)

Additional panelists to be announced

2:45 p.m. Break -----
3:00 p.m. Discussion: "Challenges and Pitfalls for DTEVV of Intelligent Systems" -----
4:00 p.m. Wrapup -----
4:15 p.m. Networking -----
5:30 p.m. Evening@SMART Alireza Khaligh
Interim Director
University of Maryland Institute for Systems Research

 

Day 2: Workforce Day

8:00 a.m. Registration (Coffee and light refreshments will be available) -----
9:00 a.m. Opening Remarks Speaker to be announced
9:15 a.m. Day 1 Review / Overview of the DTEVV Graduate Certificate and Proposed Master's Program Speaker to be announced
9:30 a.m. AM Keynote (TBA) Stephen Cricchi
Executive Director
Naval Air Warfare Center Aircraft Division (NAWCAD)
10:15 a.m. Break -----
10:30 a.m.

AM Panel: "DTEVV Best Practices"

A strong influence of DTEVV Best Practices is the workforce that devises them. Although T&E/V&V is not a new phenomenon, it has undergone considerable growth and transformation both as its importance has become better understood and how critical it is to the development and adoption of intelligent systems. DTEVV professionals, from those early in their careers to seasoned practitioners, develop and continually refine best practices that guide their efforts. This panel will explore best practices and how their growth is influenced by an ever-evolving workforce. Some of the discussion will center around key skillsets that have had a positive impact on best practices.

Moderator
Brian A. Weiss
Research Engineer
University of Maryland Applied Research Laboratory for Intelligence and Security (ARLIS)

Panelists
Theresa Shafer

Chief Technology Officer
Naval Air Warfare Center Aircraft Division (NAWCAD)

Additional panelists to be announced

12:00 p.m.

Lunch and PM Keynote: "The Human Element: Preparing T&E Professionals for Tomorrow's Challenges"
Lunch will be provided

The T&E community serves as the cornerstone of ensuring that technologies critical to national security meet rigorous standards of safety, reliability, and effectiveness. As the Department of Homeland Security (DHS) confronts increasingly complex threats and rapidly advancing technologies, the T&E workforce must remain grounded in the fundamentals of its mission while evolving to address emerging challenges. This speech explores the foundational principles that must guide the T&E workforce, emphasizing technical expertise, systems thinking, and adaptability. By reinforcing these fundamentals, the T&E community can ensure DHS remains prepared to meet the demands of tomorrow's security landscape.

Wayne Dumais
Deputy Director, Office of Test and Evaluation, Immigration and Border Security Programs
U.S. Department of Homeland Security

1:15 p.m.

PM Panel: "DTEVV Skillset Needs"

T&E, and the overall DTEVV community, is only as effective as their workforce capability. Some personnel enter the workforce with key T&E skills that they built through their undergraduate/graduate education or through internships. Conversely, some practitioners enter the workforce with adjacent skillsets where they dramatically build their T&E prowess through ‘on-the-job’ training and ‘getting their hands dirty’ in actual T&E efforts. Neither is better than the other - it is often that both provide complementary skills that ultimately boost the finish product, which is the successful development and assessment of an emergent technology. This panel will explore the critical DTEVV skills, either built through formal education or in the workplace, that have shaped the DTEVV community. Likewise, this panel will explore the expected skills that will be needed to develop, implement, and assess the technologies of tomorrow.

Moderator
Donald "Bucket" Costello III
Director of Test and Evaluation of Autonomous Systems
University of Maryland MATRIX Lab

Panelists
Mauricio Castillo-Effen

Fellow
Lockheed Martin Advanced Technologies Laboratories

CAPT Daniel "Tonto" Kitts, USN
Commodore, Naval Test Wing Atlantic
Naval Air Warfare Center Aircraft Division (NAWCAD)

Additional panelists to be announced

2:45 p.m. Break -----
3:00 p.m. Discussion: "DTEVV Workforce Gaps and Specific Formal Education Needs" -----
4:00 p.m. Wrapup -----

Headshot of Don CostelloDonald "Bucket" Costello III
Director of Test and Evaluation of Autonomous Systems
University of Maryland MATRIX Lab

Brian A. Weiss
Research Engineer
University of Maryland Applied Research Laboratory for Intelligence and Security (ARLIS)

Mauricio Castillo-Effen
Fellow
Lockheed Martin Advanced Technologies Laboratories

George Hwang
Chief Technologist, AI/Autonomy Division, Advanced Development Department
Naval Air Warfare Center Aircraft Division (NAWCAD)
Stephen Cricchi
Executive Director
Naval Air Warfare Center Aircraft Division (NAWCAD)
Alireza Khaligh
Interim Director
University of Maryland Institute for Systems Research

Headshot of Wayne Dumais, smiling and wearing black frame glasses, a dark suit jacket, and a tan tieWayne Dumais
Deputy Director, Office of Test and Evaluation, Immigration and Border Security Programs
U.S. Department of Homeland Security

CAPT Daniel "Tonto" Kitts, USN
Commodore, Naval Test Wing Atlantic
Naval Air Warfare Center Aircraft Division (NAWCAD)

Reza Ghodssi
Executive Director of Research and Innovation
Distinguished University Professor
University of Maryland MATRIX Lab
Theresa Shafer
Chief Technology Officer
Naval Air Warfare Center Aircraft Division (NAWCAD)
Samuel Graham, Jr.
Dean, A. James Clark School of Engineering
University of Maryland
Oleg V. Sokolsky
Program Director, Computer and Information Science and Engineering (CISE)
U.S. National Science Foundation (NSF)

 

Location and Directions

USMSM SMART Building
44219 Airport Road
California, MD 20619

The MATRIX Lab has put together PDF directions to USMSM and the SMART Building for those visiting from Annapolis, Md.; from Virginia via the 301 Harry Nice Bridge, and from the I-495 Washington Beltway.

You also can view the location and get directions from your location on Google Maps.

Ample, free parking is available onsite at the SMART Building (Building 3). There are also parking spots around Buildings 1 and 2 on the USMSM campus.

Hotel Accommodations

The listed establishments have worked with the MATRIX Lab in the past.

Home2 Suites by Hilton
(Preferred - Book MATRIX Rate Here)
301-866-1416
46058 Valley Drive
Lexington Park, MD 20653
6.3 mile drive from the USMSM campus

Hampton Inn
301-863-3200
22211 Three Notch Road
Lexington Park, MD 20653
5.9 mile drive from the USMSM campus

La Quinta Inn & Suites by Wyndham
301-678-9847
22769 Three Notch Road
California, MD 20619
3.8 mile drive from the USMSM campus

Extended Stay America
240-725-0100
46565 Expedition Park Drive
Lexington Park, MD 20653
5.4 mile drive from the USMSM campus

Holiday Inn Express & Suites
240-237-1444
45260 Abell House Lane
California, MD 20619
2.6 mile drive from the USMSM campus

TownePlace Suites
301-863-1111
22520 Three Notch Road
Lexington Park, MD 20653
4.6 mile drive from the USMSM campus
Fairfield Inn
301-863-0203
22119 Three Notch Road
Lexington Park, MD 20653
6.4 mile drive from the USMSM campus
The Inn at Leonardtown
301-475-0187
41655 Park Avenue
Leonardtown, MD 20650
8.6 mile drive from the USMSM campus
 

 


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