Nathan Kahl

George Mason launches Virginia’s first public master’s degree in AI

Nathan Kahl — Mon, 31 Mar 2025 14:56:56 +0000

George Mason launches Virginia’s first public master’s degree in AI Nathan Kahl Mon, 03/31/2025 - 10:56

George Mason �鶹�� will offer a master of science in artificial intelligence (AI) starting this fall, becoming Virginia’s first public university to offer a stand-alone master’s degree in this field.

Photo by Getty Images

Recently approved by the State Council of Higher Education for Virginia (SCHEV), the degree will equip the next generation of AI innovators with a rigorous, interdisciplinary curriculum blending foundational theory with real-world applications, ensuring graduates are prepared to address complex challenges in industry and government.

Amarda Shehu, inaugural vice president and chief AI officer, associate dean for research in the College of Engineering and Computing, and professor in the Department of Computer Science, said, “Seeing this vision come to life has been incredibly rewarding, and I am deeply honored to have led this effort to create a program that will shape the future of AI talent in Virginia and beyond.”

Courses will span core domains such as machine learning foundations and practice; planning and decision-making for intelligent agents; and deep learning fundamentals; providing students with the expertise to build, deploy, and evaluate AI systems across various computing platforms.

Shehu writes and speaks widely on issues around AI. Photo by Office of �鶹�� Branding

“We had to completely rethink how we teach AI to students,” added Shehu. “Rather than hiding such courses behind long chains of prerequisites, the challenge that we answered is how to design these courses to be largely self-containing and yet offer a rigorous foundation in AI."

Vadim Sokolov, associate professor, Department of Systems Engineering and Operations Research, was one of the leading faculty in the working group designing curriculum. With his mathematics background and his extensive experience teaching the first deep learning course on campus in 2017, Sokolov has great interest in the field and what this means for students. "The idea is students are not just ‘prompt engineers’ but are supposed to understand the basics of the models and be able to tune them and train them for specific tasks.”

Sokolov added that the program is unique in how it enhances this foundation with real-world settings. According to the program, students will be adept in managing the full machine learning operations lifecycle, integrating open-source AI frameworks, and developing secure, scalable AI solutions while effectively collaborating with cross-functional teams and communicating complex AI concepts to diverse stakeholders.

“This program is carefully designed to meet the needs of our community, whether that is government or business, but it also provides a holistic experience to students, from AI ethics to AI policy, and from scalable and secure AI to advanced AI solutions, Sokolov said.

Shehu said, “As AI transforms the way we work, govern, and live, this master’s degree program is more than just a response to demand—it is a commitment to preparing students with both the technical expertise and ethical grounding to shape the future of AI responsibly.”

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Cherry Blossom predictions are in! Will AI bloom or bust?

Nathan Kahl — Tue, 11 Mar 2025 21:05:10 +0000

Cherry Blossom predictions are in! Will AI bloom or bust? Nathan Kahl Tue, 03/11/2025 - 17:05

Students, researchers, and citizen scientists from around the world submitted predictions to George Mason �鶹��’s annual International Cherry Blossom Prediction contest, with one new notable entrant….AI.

Jonathan Auerbach, an assistant professor in the Department of Statistics and the competition co-organizer, said, “Obviously we see AI as the calculator of the 21st century—students should be able to use this tool, but that raises the baseline, so students really have to up their game.”

The typical competitive entries use the concept of growing degree days, looking at heat accumulated by trees as measured by local temperatures. Although Auerbach said one trend he’s seeing is contestants increasingly modeling conditions in the fall preceding the bloom.

“We know that springtime temperatures are important, and as climates warm, blooms are happening earlier and earlier. But fall is also important because trees create (or form) buds in the fall," said Auerbach. "You can actually saw off a branch of a cherry tree and put it in your closet and as long as it's warm enough and in water, it'll actually bloom.”

The cherry trees at the tidal basin are expected to bloom at the end of March. Photo courtesy National Park Service.

Auerbach gets intrigued by what he called “zany” approaches, noting that people use unique data points for their predictions and that hotel prices have been used to predict bloom dates with some effectiveness. This year one entry used Google trends, and Auerbach noted there is some precedent for that—for some time Google searches for the flu predicted flu outbreaks, for example.

What most entrants foresee is that the Washington, D.C., cherry blossoms will reach peak bloom in late March. Even ChatGPT, which you could say is really branching out—is in agreement.

Check out the predictions

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Department of Statistics

Research

A slippery slope to safety: New material promises steady steps

Nathan Kahl — Mon, 10 Mar 2025 12:11:36 +0000

A slippery slope to safety: New material promises steady steps Nathan Kahl Mon, 03/10/2025 - 08:11

Winter weather can be treacherous at times, especially for those trying to navigate slippery situations on foot. Fortunately, George Mason �鶹�� materials scientist Shay Bagheri is working on better footwear to handle icy conditions.

Shay Bagheri. Photo by Office of �鶹�� Branding

Bagheri, an assistant professor in the Department of Mechanical Engineering and an affiliate scientist at Toronto Rehabilitation Institute, received a $100,000 grant from the Commonwealth Commercialization Fund (CCF) of the Virginia Innovation Partnership Corporation for her research. CCF “supports Virginia’s small business community and its colleges, universities, and nonprofit research institutes at the earliest stages of their entrepreneurial and/or commercialization journeys, seeking innovative technologies with a high potential for economic development and job creation.”

In 2016, Bagheri was working at the Toronto Rehab Institute, which has numerous labs that recreate real-world environments. Bagheri was drawn to the Winter Lab, where researchers were studying shoe safety in slippery conditions.

“WinterLab is a self-contained facility with an ice-covered floor that can be tilted at different angles," Bagheri said. "Harnessed participants walk up and down the icy slope, and the steepest angle they can manage without slipping is used to measure the slip resistance of their footwear.”

The topography of the footwear surface, magnified. Graphic provided

While working at the Winter Lab, she received new generations of winter footwear based on composite technology. These shoes had excellent slip resistance when they were new, but she was surprised to learn many of the boots and shoes they tested lost a significant amount of their nonslip properties after a mere 75,000 steps—barely a week for a frequent, avid walker.

“And all of them cost over $200. So, we knew something had to be done in order to improve the material and the manufacturing process.”

The commercially available composite-based footwear have soles that get traction from tiny pieces of glass. Glass is by nature very sensitive to abrasion and the fabrication of glass is very hazardous, making it less than ideal. Bagheri said, “Instead of glass, we are adding polymeric fibers that are very resistant to wear and abrasion. They are non-hazardous, soft, and capable of withstanding significant abrasion. This material is five times more effective than what’s currently on the market.”

She said that instead of using the common injection molding technique to make these composite materials, she uses additive manufacturing, allowing for more uniform distribution, with a little bio inspiration. “In order to enhance friction on ice, we incorporate polymeric microfibers that protrude to the surface, triggering the friction mechanism similar to what you would see in polar bear feet,” she said. For the second approach, she uses a 2-D material with a large surface area that triggers the friction mechanism through adhesion, similar to the way frog’s feet work.

Bagheri and colleagues hold a patent for the method of manufacturing these innovative composites. She and her student at George Mason have also filed a provisional patent through their work, using additive manufacturing technology to make these composites more efficiently.

In This Story

Shaghayegh Bagheri

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Read about research at George Mason

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George Mason researcher gets CAREER award for quantum leaps in computing, with the help of AI

Nathan Kahl — Thu, 13 Feb 2025 17:55:11 +0000

George Mason researcher gets CAREER award for quantum leaps in computing, with the help of AI Nathan Kahl Thu, 02/13/2025 - 12:55

Weiwen Jiang, an assistant professor in the George Mason �鶹��'s Department of Electrical and Computer Engineering, is an expert in quantum computing, having recently received nearly $1 million in National Science Foundation (NSF) funding to study “noise” that impacts quantum computing and to work on training the next generation of quantum experts.

Jiang’s research is all about pushing the mysterious world of quantum computing into the mainstream. “We are at the quantum utility era, which means we are going to have computational applications that can be implemented with and utilize the power of quantum computing,” he said. But Jiang knows that researchers need a boost in understanding the full quantum capability.

In January he received an NSF CAREER award for $641,778 for his work on quantum-centric computing cyberinfrastructure (QuCI). A combination of quantum computers, classical computers, and AI accelerators, QuCI is set to revolutionize

Weiwen Jiang. Photo provided

software applications handling everything from geophysics, chemistry, finance, and life sciences, because it can outperform classical computing with its speed, accuracy, and the ability to handle large, data-heavy problems. For example, the success of processing geoscience data on quantum computers can enable real-time decision-making on natural hazards, which leads to cost savings, reduced environmental impacts, and improved safety.

Jiang’s project includes three thrusts. One is using what’s called an AI-powered quantum performance predictor, which leads to an innovative and efficient ability to allocate computing resources in the moment. Jiang said, “When a batch of jobs comes into the system, we need to allocate the jobs into different quantum nodes and we want to distribute the jobs effectively.”

Another focus is bridging a knowledge gap between experts who want to run software applications but are not experts in quantum. “In order to fill this gap we do not want the expert to learn quantum computing from scratch,” he said. “We’ll find opportunities to fine-tune the configuration for quantum control optimization,” helping a non-expert user harness the power of quantum computing by combining classical central-processing unit computing with quantum. Current QuCIs require complicated decision-making to ensure correct computing results are obtained, but this can fall into the hands of users who lack quantum knowledge. Jiang’s project automates QuCI deployment, making decisions and optimizations at different stages without human interference.

A third element is to develop what’s known as fault-tolerant quantum computing, which means allowing quantum computers to operate even when encountering errors. Jiang said, “Before we submit the job, we will add fault-tolerant protocols to ensure the functional correctness and boost performance.”

The NSF CAREER award is reserved for the nation’s most talented up-and-coming researchers. From the NSF website: “The Faculty Early Career Development (CAREER) Program offers NSF’s most prestigious award in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.”

Beyond the scientific impact, the project builds an easy-to-understand quantum education program, which includes building a visualization platform to make quantum computations visible. This is significantly important for beginners who easily suffer from the counterintuitive concepts of quantum computing. In addition, Jiang will create workshops, tutorials, and competitions for different research communities, contribute to a George Mason-led quantum immersion program for K-12 students; and redesign a quantum curriculum at George Mason with outcomes from this project.

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Weiwen Jiang

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C-TASC

Small prints with big impact

Nathan Kahl — Mon, 03 Feb 2025 15:33:41 +0000

Small prints with big impact Nathan Kahl Mon, 02/03/2025 - 10:33

Lithography, a printmaking technique using a plate or other hard, smooth surface to transfer ink onto a medium such as paper, was invented in the late 18th century by German playwright Alois Senefelde. It is used to create a myriad of products, many sitting around your home and office.

But what if you needed to create something really small using lithographic techniques, even as small as the nanometer level, which is one billionth of a meter?

Ethan Ahn, an associate professor of electrical engineering at George Mason �鶹��, is doing research using a new technique called electron-beam lithography (EBL), which scans a focused beam of electrons to draw shapes. In fact, as the only skilled practitioner at Northern Virginia’s only EBL facility—in the university’s Nanofabrication Facility on the Science and Technology Campus in Manassas—he’s an evangelist for the technique, eager to get students and other faculty members trained on the technology.

The university logo created with EBL. This image is blown up 17,000 times its actual size. The lines forming the logo are 250 nanometers wide, or 250 billionths of a meter.

“This equipment is infamous for its sensitivity,” he said. “It’s a hard tool to use and it takes a lot of practice, a lot of training, and a lot of knowledge. So, this is not something that’s easily accessible to everyone.”

In fact, before Ahn’s arrival in 2023, students and faculty who wanted to work on EBL had to go to the National Institute of Standards and Technology campus in Gaithersburg, Maryland, more than an hour away from SciTech. Ahn is eager to train students and others to use the EBL technology, envisioning allowing time for researchers both within and outside of George Mason to tinker with the tiny-making toy.

“We will be able to get grants and funding that we wouldn't without this technology, absolutely,” said Ahn, about the possibilities EBL opens up. “And there’s an implication for myself, for example, because I'm working on nano electronics, and this will let us make nanoscale logic devices, nanoscale memory devices, and more.”

Ahn with the EBL machine. Photo provided.

Ahn pointed to the microchip industry as a place where lithographic patterning is used extensively. Holding one up he said, “One small chip is as small as my thumb. But if you zoom in to see what is in there until you see individual devices and components, you’ll see billions of transistors there. That’s what I do for my research, making such devices using EBL, with transistors that are faster, more energy efficient, more reliable, and more secure.”

And students coming through Ahn’s EBL boot camp may find a future that is more secure, as they will be more marketable upon graduation, particularly in the high-tech hub that is the Washington, D.C., area.

Funding to support the EBL capability came from the GO Virginia Nano-IMAGINE program.

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Ethan Ahn

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Driving Innovation: DELTA-FORCE steers army vehicles into the digital future

Nathan Kahl — Wed, 29 Jan 2025 18:58:03 +0000

Driving Innovation: DELTA-FORCE steers army vehicles into the digital future Nathan Kahl Wed, 01/29/2025 - 13:58

The U.S. Army relies on numerous ground vehicles for successful operations, requiring vehicles that can navigate a variety of terrains and allow soldiers to be effective and safe. This creates a challenging set of requirements for new vehicle design, engineering, and operations that must be cost-effective.

Ali Raz. Photo by Creative Services

George Mason �鶹�� is now an important contributor for researching novel approaches and development of new vehicles, thanks to a $1.6 million grant from the National Center for Manufacturing Sciences under Digital Enterprise Technology for Maintenance and Sustainment Improvements—Phase II effort, sponsored through the Army’s Ground Vehicle Systems Center.

The George Mason project, called DELTA-FORCE (Digital Environments for Life-Cycle Test and Evaluation For Off-Road Combat VEhicles), is a joint effort between the College of Engineering and Computing’s (CEC) Center for Excellence in Command, Control, Communications, Computing, Cyber, and Intelligence and the College of Science’s Center for Collision Safety and Analysis. Ali Raz of the Systems Engineering and Operations Research (SEOR) Department is the principal investigator (PI) and Steve Kan, a professor in Mason Science, is the co-PI.

This project aims to develop a comprehensive digital engineering methodology for new vehicle concepts. “It's a very unique opportunity for George Mason in that we're going to be building a complete digital environment for life cycle testing and analysis," Raz said. "Life cycle elements have their own domain-specific models, and analysis tools that are not linked. We are building a digital environment to connect them.”

Steve Kan. Photo by Creative Services

The different phases of the vehicle life cycle, from conceptual design, preliminary design, detailed design, manufacturing, and maintenance, each have their own models and analysis tools that do not “talk” to one another. A key aspect of this project is creating an ontology and model-based systems engineering (MBSE) foundation that will connect the different domain-models, providing a common language for integrating the models and building interfaces in a digital environment.

“In order to produce new advanced complex systems, we need to transition into digital environments; the Department of Defense has been laying the groundwork for that for five years or so,” said Raz. “So essentially we will build a digital twin for modeling the off-road vehicle and environments, that is connected to a physical twin via reverse engineering.”

Kan said that “This project will enable us to work in the digital engineering field in a holistic way by integrating different system-level requirements, design, and performance, to the physics level of materials and geometry using reverse engineering technologies. In this project, we build upon our expertise in automotive and aerospace safety engineering and collaborate with colleagues in both CEC and Mason Science at George Mason to develop this digital engineering platform.”

Raz added that DELTA-FORCE will provide an opportunity through new undergraduate courses for George Mason students to get hands-on experience in building digital twins and conducting analysis.

Although this effort is sponsored by the Department of Defense, its content does not necessarily reflect the position or policy of the government; no official endorsement should be inferred..

In This Story

Ali K. Raz

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Systems Engineering and Operations Research

U.S. Department of Defense

Unlocking privacy with encrypted ingenuity: Security expert receives NSF CAREER award

Nathan Kahl — Mon, 27 Jan 2025 17:32:18 +0000

Unlocking privacy with encrypted ingenuity: Security expert receives NSF CAREER award Nathan Kahl Mon, 01/27/2025 - 12:32

Evgenios Kornaropoulos, an assistant professor in George Mason �鶹��’s Computer Science Department, focuses on computer security and applied cryptography, where he stays ahead of changes in the field. "The needs of everyday users have grown, and our technology's privacy expectations must advance accordingly,” he said. “We've moved beyond simply communicating sensitive data securely; now, we need technology capable of performing computations on sensitive data without compromising privacy.”

Evgenios Kornaropoulos. Photo provided

He recently received a National Science Foundation (NSF) CAREER award for $648,811 for his work on privacy and data security under the title “Encrypted Systems with Fine-Grained Leakage.”

The tension between the privacy of sensitive data and the functionality that users demand from their data is the focus of the NSF CAREER funding, and it has been among Kornaropoulos’ research areas for several years. He said, “The new technology that we are developing allows the user to never expose any information in the clear to the cloud while maintaining functionality. You want the cloud to do interesting computations for you without decrypting your information. If you don't decrypt, the cloud never gets to see what you are processing.”

When users store sensitive information, such as health records or financial data, with common cloud-based providers, the provider gains full access to the document's contents—essentially exposing the data in plain text to the cloud. A potential remedy is to encrypt the data before uploading it. However, this approach comes with a drawback: whenever users need to access or compute something from the encrypted data, they must download all the scrambled files locally and perform the computations on their own devices.

So how can the user still process the information but know that the cloud didn’t learn anything? “We believe that the answer is the notion of ‘cryptographic leakage’, he said. “The cloud provider still sees some accesses on encrypted data, that is, the leakage, but these observations are confusing. �鶹�� designs scale to today’s needs and come with provable guarantees that these observations cannot be meaningfully stitched together by the cloud provider to infer the sensitive data.”

Kornaropoulos said, “Searching on encrypted data is one of the biggest functionalities and we have a research thrust in which we will collaborate with industry leaders and local organizations on this problem. Specifically, we have an active collaboration with the Mason and Partners Clinics (interprofessional clinics which serve the uninsured and refugee community within Prince William and Fairfax counties in Northern Virginia) to explore the application scenarios of our technology to that setting.”

"Privacy-preserving data storage and data use is an important problem in computer security that is of critical interest to organizations that must trust their sensitive data to third-party data storage facilities," said Computer Science department chair David Rosenblum. "Evgenios is an internationally renowned leader in addressing this problem, and his NSF CAREER award will afford him the opportunity to explore novel solutions that balance strong security guarantees against practical needs for efficiency."

The award is the most-recent of several distinctions Kornaropoulos has earned. He was elevated to IEEE Senior Member in 2024, his paper was among the finalists for the “Best Cryptographic Attack” category at Pwnie Awards 2024, and his latest work at the intersection of AI and security has gained significant media attention.

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Evgenios Kornaropoulos

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Advancing sensor tech for foggy situations

Nathan Kahl — Mon, 13 Jan 2025 13:15:50 +0000

Advancing sensor tech for foggy situations Nathan Kahl Mon, 01/13/2025 - 08:15

Devices that rely on sensors to accurately navigate and perceive the world around them are more and more commonplace, from drones to autonomous vehicles to ground robots on rescue missions. Parth Pathak, an associate professor in the Department of Computer Science at George Mason �鶹��, is working to ensure the sensors have 20/20 vision.

From left, Rezoan Ahmed Nazib, Parth Pathak, and Ahmad Kamari with a rescue robot that can "see" through smoke and fog. Photo provided

Pathak received $660K in funding from the Army Research Office (ARO) for this work, some of which is done in collaboration with colleagues at the �鶹�� of California, Davis, where he did his post-doc.

“Conventional sensors rely on cameras or LiDAR (light detection and ranging) to pursue objects around them, but they don't work very well when there's smoke, fog, or generally a visually degraded environment,” said Pathak. “But the mmwave wireless radar sensors that we are working on don't get affected by that. If there is dirt on the sensor, well, that's okay. They can see through things and see around things."

Imagine a rescue robot going into a building filled with smoke, trying to navigate with little to no visibility, Pathak said. "These wireless sensors can enable them to perceive the environment and even self-localize without cameras, LiDARs, or other positioning systems.”

Another positive aspect of the devices is that while they can sense…they don’t sense too much, which is important for privacy concerns. The disadvantage, of course, is that when a sensor depicts an object such as a car, the resolution is not particularly good, and the images are “noisy.” Pathak is not just improving navigation and perception, but using multiple robots, for example, cooperatively. In a rescue mission, a swarm of robots can share their data, allowing them to collectively “see” a better picture.

Photo provided

“They can self-localize based on what they see, like how our brains work. But the robots only have wireless sensors to rely on, so part of the work is developing very good signatures of what they see from these very low resolution and noisy images,” said Pathak. “We can build 3D models of a room by scanning it through the wireless sensors and using machine learning to capture and recreate every minute detail. This is something that these sensors were never designed for. We are developing custom-tailored deep learning models of wireless sensing, essentially pushing the limits of what they can perceive using wireless signals.”

In addition to the research, ARO’s funding also supports testbed-to-prototype development and solution evaluation.

Pathak and colleagues published this research at the Association for Computing Machinery’s ACM Mobicom conference and have submitted it to other conferences for potential publication. Two PhD students from his team, Ahmed Kamari and Rezoan Ahmed Nazib, are working actively on the project, along with three high school students who participated in prototyping over the summer as part of George Mason's Aspiring Scientists Summer Internship Program.

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George Mason joins elite defense research network

Martha Bushong — Sun, 15 Dec 2024 14:25:04 +0000

George Mason joins elite defense research network Martha Bushong Sun, 12/15/2024 - 09:25

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Art Pyster

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The Systems Engineering Research Center (SERC) and the Acquisition Innovation Research Center (AIRC) recently added George Mason �鶹�� as a member. Both managed by Stevens Institute of Technology, SERC and AIRC leverage the research and expertise of more than 25 universities nationwide.

The SERC and AIRC are two of more than a dozen �鶹�� Affiliated Research Centers (UARCs), which are sponsored by the Department of Defense (DoD). Art Pyster, associate dean for research for the College of Engineering and Computing (CEC), has a long history with SERC. He served as the proposal manager at Stevens when that institution won the initial designation in 2008 and subsequently served as Deputy Executive Director and Chief Operating Officer until 2016 when he joined George Mason. “We now have a full seat at the table, participating in meetings with DoD sponsors and helping to set the SERC/AIRC agenda.”

According to Mike Bunting, assistant dean for research in CEC, “Each UARC, composed of one or more universities, has a long-term strategic relationship with the DoD in a specific research area.” Bunting added the structure facilitates collaboration, and the UARC contract mechanism allows for an “easy button” to perform research for the DoD.

Most UARCs are just a single university. The SERC formed in 2008, and AIRC, formed in 2020, are different because they are university consortia. Now that George Mason is a full member, it can receive unlimited tasking from the government and collaborate with other SERC/AIRC members on their research and other activities.

“It's about having a set of resources that the government can rely upon from a trusted agent,” Bunting added. “As an R1 university, George Mason has hundreds of faculty, staff, and students who conduct research in areas of interest to the DoD. George Mason teams can propose and lead new research tasks and be part of joint projects with other members of the SERC/AIRC consortia.”

Stevens recently renewed the SERC/AIRC contract for five years, at which point they were able to add new members, including George Mason. John Shortle, chair of the Systems Engineering and Operations Research Department (SEOR), and Jerry McGinn, executive director of the Greg and Camille Baroni Center in the Costello College of Business, were instrumental in adding George Mason.

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From punts to proof: George Mason adjunct helped solve the NFL’s “4th-down problem”

Nathan Kahl — Fri, 13 Dec 2024 14:13:37 +0000

From punts to proof: George Mason adjunct helped solve the NFL’s “4th-down problem” Nathan Kahl Fri, 12/13/2024 - 09:13

4th Down Bot

The New York Times' Fourth Down Bot is based on Burke's models

Read Burke's reflection

George Mason �鶹�� alumnus Brian Burke’s career path, from fighter pilot to ESPN data analyst, demonstrates that whether it’s a 4th-and-inches decision or a career pivot into analytics, calculated risks can pay off.

Brian Burke. Photo by Evan Cantwell/Office of �鶹�� Branding

In 2009, the NFL’s two best teams—the New England Patriots and Indianapolis Colts—faced off in a pivotal showdown. Late in the game, acclaimed football genius and Patriots coach Bill Belichick attempted to get a first down on a fourth-down play deep in Pats’ territory. Converting would win the game for the Patriots, but a failure would give the ball to the Colts in prime field position. When the Colts stopped Tom Brady’s completion inches short of the first-down marker, Peyton Manning took the field and easily won the game for the Colts.

At the time, many considered the decision a huge blunder, given the conservative, risk-averse culture among NFL coaches, who usually choose the “safe” option of punting the ball on fourth down. But today’s coaches are more likely to be aggressive in these situations, supported by an emerging focus on analytics and a column written at the time by Burke, now a Systems Engineering and Operations Research (SEOR) adjunct faculty member.

He turned a hobby of analyzing sports data into something of a big deal, founding Advanced Football Analytics in 2006, where he published his findings, in addition to consulting with NFL teams; the New York Times would sometimes print his writing and analysis. A column on Belichick’s decision turned him into an overnight stats celebrity.

“I did the math and estimated that the decision to go for it increased the Patriots’ chance to win the game by 9 percentage points. I wrote up a short article for the Times saying it was the right thing to do, and didn't realize it was going to be controversial,” said Burke, who completed a master's degree in operations research at George Mason in 2015. “The Times cross posted to my website and when I woke up the next morning my phone was blowing up.”

The data shows that NFL coaches should be more aggressive on the 4th down than they frequently are. Photo by Wikimedia

In 2015 ESPN recruited him to be a sports data scientist, which he does from his home in Reston, Virginia. “I’ve got a charmed existence, for sure,” he laughed.

His career started far from campus or a football field; Burke fulfilled a childhood dream when after high school he became an F-18 Naval fighter pilot. He earned a bachelor’s in aerospace engineering from the U.S. Naval Academy and after leaving the service worked for a defense contractor.

But he couldn’t help marrying his love of sports with an analytical mind. “I was talking with a coworker one day of this notion that ‘defense wins championships’ in football; people say it, but is it true?” Burke said. “You could download of data from ESPN.com in the mid 2000’s and I had a regression analysis software and decided to put in the numbers, build some models, and see what came out.”

This love of data and desire to launch his second career led him to wander into the SEOR offices in the Nguyen Engineering building one day in 2014, with no appointment. Late faculty member Andy Loerch, who also served in the military, asked if he could help Burke. The two bonded.

“From that moment on, I thought, ‘This is a great place for me,’” Burke said.

Loerch inspired Burke to enroll at George Mason and became his mentor. When he finished his program, Loerch and Ariela Sofer, then department chair, encouraged him to create a class on sports analytics as an adjunct.

Burke loves the role. “I really enjoy it and enjoy sharing what I know. You don’t know something unless you can teach it, so it forces me to nail down the basics and examine assumptions and go back to first principles.” He said he appreciates the opportunity to connect with fellow SEOR faculty members. “The creative friction when we’re together gives me great ideas.”

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data analytics

Sports Analytics

Systems Engineering and Operations Research

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Nathan Kahl

George Mason launches Virginia’s first public master’s degree in AI

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Cherry Blossom predictions are in! Will AI bloom or bust?

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George Mason researcher gets CAREER award for quantum leaps in computing, with the help of AI

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Unlocking privacy with encrypted ingenuity: Security expert receives NSF CAREER award

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Advancing sensor tech for foggy situations

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George Mason joins elite defense research network

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From punts to proof: George Mason adjunct helped solve the NFL’s “4th-down problem”

4th Down Bot

Read Burke's reflection

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