Machine Learning

Physics PhD student is using machine learning techniques to unlock the key to predicting solar flares

Katarina Benson — Mon, 27 Jan 2025 14:44:24 +0000

Physics PhD student is using machine learning techniques to unlock the key to predicting solar flares Katarina Benson Mon, 01/27/2025 - 09:44

João Felipe Sousa Pereira’s research on solar flares could one day help us safeguard astronauts and technology in space and even prevent widespread blackouts here on Earth. Pereira, a second-year Physics PhD student at ��AV, is studying solar physics with the goal of uncovering the precise triggers of solar flares.

João Felipe Sousa Pereira. Photo by Evan Cantwell/Office of University Branding

Pereira said solar flare prediction is key because really intense solar flares are often associated with coronal mass ejections (CMEs), which in turn can cause geomagnetic storms, carry radiation, and significantly contribute to space weather.

“CMEs, geomagnetic storms, and solar radiation can affect our satellites if we are unprepared. These events can also knock out our GPS or power grids on rare occasions,” he said. “What we really want is to figure out what is causing solar flares. We have some suspicions, but maybe machine learning techniques can find something we didn’t.”

There are already some prediction models in place now, but Pereira’s research is trying to push past the current “bottleneck” in the research. His work is not only trying to confirm previous techniques but also testing out a new one.

Pereira is the recipient of a Graduate Inclusion and Access scholarship, which works to enhance the diversity of the graduate student community at George Mason by providing scholarships for first-generation doctoral students who have been historically underrepresented within their doctoral field of study. The scholarship provides funding and an opportunities to become involved in the graduate community through special events each semester.

“The grade requirements [for the scholarship] are a little higher than those of my fellow grad students, but I think the hard work is rewarding and will help me stay on track to finish within the five years.”

João Felipe Sousa Pereira outside the Mason Observatory. Photo by Evan Cantwell/Office of University Branding

Pereira came to George Mason after completing his undergraduate degree in physics and astronomy at University of Maryland (UMD), College Park. He initially became interested in space weather his freshman year at UMD. “I had an introductory electricity and magnetism course. It seemed interesting to me to learn about solar wind, the types of phenomena that occur in space, and how the physics of it all actually impacts us on Earth.”

In his junior and senior years, Pereira worked on space weather research with his then-advisor Surjalal Sharma and became interested in continuing that research in his graduate studies. He then visited George Mason, where he met with his current advisor Jie Zhang of the Department of Physics and Astronomy. “[Zhang] helped me set up the possibilities for what can be done in this field, and he had the idea for the project that I'm working on now,” Pereira said.

On the same visit, Pereira had the opportunity to meet with graduate students who let him know that the PhD program wasn’t easy, but he would have the support he needed. He was able to see the graduate student culture with his own eyes, which helped him feel like he could belong at George Mason.

Pereira offers advice to other students considering PhD programs. “You should talk to as many people as possible—that can help guide your decision process. Some people have good experiences, some people have bad experiences, and they’re all valid. Everyone’s on their own path.”

“Pereira’s passion to research and commitment to his doctoral program are inspiring,” said Laurence Bray, senior associate provost for graduate education. “He represents the Mason Nation at heart by designing his own path to success with strength and resilience.”

Pereira’s enthusiasm for his research continues. “The reason I do physics is because I like figuring out how things work. And it's not necessarily easy, but in the end, when you have that ‘aha moment,’ it really is rewarding,” he said.

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Using robotics to introduce AI and machine learning concepts into the elementary classroom

Colleen Rich — Thu, 23 Jan 2025 17:52:02 +0000

Using robotics to introduce AI and machine learning concepts into the elementary classroom Colleen Rich Thu, 01/23/2025 - 12:52

��AV researcher Erdogan Kaya is part of an interdisciplinary research team that is planning to introduce elementary students to the foundational concepts of artificial intelligence (AI) and machine learning using educational robotics.

George Mason professor Erdogan Kaya with some of the educational robots his team will be using with elementary school students. Photo provided

Kaya, an assistant professor in George Mason’s School of Education, and his collaborators—Hasan Deniz of University of Nevada, Las Vegas; Ezgi Yesilyurt of Weber State University; and Refika Turgut of University of South Carolina—have been awarded a $1 million grant from the National Science Foundation (NSF) “Computer Science for All” program for their project, “Cultivating Artificial Intelligence Literacy through Linguistically Inclusive Integrated Elementary Curriculum via Educational Robotics.”

“Over the years, I have seen firsthand how robotics can captivate and inspire students, making complex STEM concepts accessible and more engaging,” said Kaya. “Students gain insight into how AI systems work and develop a deeper understanding of the power of AI, which promotes foundational AI literacy.”

Approximately 600 elementary students in grades 4 and 5 from schools serving underrepresented populations in Clark County, Nevada, will participate in this study. The goal of this project is to provide the students with hands-on learning opportunities that will allow them to develop an understanding of AI and its application in science and technology.

The study will also offer professional development to 25 in-service educators to equip them with the foundational knowledge of AI and machine learning needed to teach an AI-integrated STEM curriculum.

Kaya emphasized that it is essential for young learners to acquire a level of AI literacy that includes an understanding of how AI algorithms work, how AI applications are developed, and how they can be used responsibly and creatively. He hopes that by being exposed to AI and machine learning at an early age, students will develop skills that may lead them to pursue careers in STEM.

“This project is about opening doors to AI literacy for young students, especially those from multilingual backgrounds who may not see themselves represented in tech fields,” said Kaya, who grew up in Turkiye and began learning English in middle school.

After working with multilingual learners in Title I schools in Arizona, Kaya discovered that his perspective as someone who has navigated education in multiple languages gave him insight into serving this population of students effectively.

“By integrating AI and robotics early on, we are providing a foundation in STEM that not only builds skills but instills a belief in students that they can be part of AI-intensive fields,” he said.

Educational tools, including Birdbrain Technologies’ Hummingbird Robotics®, Teachable Machine, and Snap!, a visual block-based programming environment, will be used in this study. Students will be tasked with designing automated solutions to real-world challenges that exist in their home communities, such as how to make smart homes more energy-efficient or how to develop farming robots capable of harvesting strawberries. Kaya said that projects like these will allow the students to apply AI concepts in ways that they will find more culturally relevant and meaningful.

The study will also promote the responsible and ethical use of AI by asking students to engage in critical thinking regarding the broader societal impact of AI and how bias can affect AI algorithm outputs.

Teachers using the AI-integrated curricular resources developed under this project will be able to incorporate them into their existing curricula.

“Our curriculum is designed to be flexible and integrative. By combining AI, engineering, language arts, and science into integrated lessons, teachers can address multiple subjects within a single lesson, making the most of limited classroom time,” said Kaya.

The importance of teaching the principles of AI and machine learning at an early age continues to gain traction in K-12 computer science education. Kaya notes that organizations such as the International Society for Technology in Education and Computer Science Teachers Association (CSTA) are responding with programs such as Teach AI. In addition, CSTA is updating its standards, scheduled for release in 2026, to incorporate machine learning and AI.

At the state level, Virginia’s recent updates to the Computer Science Standards of Learning (SOLs) include requirements for machine learning, further underscoring the need to prepare students in this field.

It is these changes in the field of computer science education that influenced Kaya’s decision to pursue a second master’s degree—this one in machine learning—at George Mason. “Even though I have a CS background, I recognized that machine learning and AI are becoming crucial parts of CS education,” he said. “To better serve the needs of future teachers and K-12 students, I decided to further my own education in this rapidly evolving field.”

With this project, Kaya said the goal is to equip teachers to bring AI and robotics into their classrooms with confidence, even if they do not have a technical background. “By providing practical training and readily available materials, we hope to create a ripple effect where teachers inspire their students and make AI education a reality in their classrooms,” Kaya said.

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Aisha Behr leverages dual roles in industry and academia to advance deep learning

Teresa Donnellan — Wed, 08 Jan 2025 15:17:30 +0000

Aisha Behr leverages dual roles in industry and academia to advance deep learning Teresa Donnellan Wed, 01/08/2025 - 10:17

With degrees from ��AV in civil engineering, systems engineering, and earth systems and geoinformation sciences, alumna Aisha Behr’s path to becoming a leader in artificial intelligence (AI) and machine learning is as diverse as it is inspiring. Now a director for the AI and machine learning business units at CGI, Behr also serves as an adjunct professor in George Mason’s Department of Information Sciences and Technology (IST), teaching applied information technology (AIT) classes in machine learning and deep learning.

Behr started her career in government contracting, where she first encountered the burgeoning field of data science.

Her work required her to apply data science techniques to geospatial analysis, sparking a deep interest in the subject. While working full-time, Behr pursued a PhD in earth systems and geoinformation sciences at George Mason. Her dissertation, which aimed to improve the SVD algorithm with spatial statistics, highlighted her innovative approach to integrating machine learning with spatial data.

Aisha Behr. Photo provided

While balancing her professional career with her academic pursuits, Behr found a new calling in teaching, starting as an adjunct after completing her PhD in 2020. Her industry experience proves invaluable in the classroom, allowing her to offer students a unique perspective on the practical applications of their studies.

"I wanted to make sure that students had a really good process and experience through the whole course," said Behr. By providing code templates and practical assignments, she ensures that students can confidently apply what they learn in the AI and machine learning field.

Behr's teaching philosophy is centered around making complex concepts accessible and engaging. She developed the courses AIT 636 Interpretable Machine Learning and AIT 746 Applied Deep Learning to emphasize hands-on learning.

“Dr. Behr has been an exemplary adjunct in the IST department, playing a critical role in developing our new applied AI technologies concentration for the master’s in AIT program, as well as several graduate courses,” said Ioulia Rytikova, an IST professor and the director of the master’s program in AIT.

Behr is excited about the potential of generative AI and other emerging technologies. She will continue integrating such advancements into her teaching, possibly through guest lectures and hands-on labs.

"I want our students to be able to have exposure to these very, very new technologies," she emphasized, noting that she likes to demonstrate to students how keeping up with technology can give them a competitive edge in their careers.

"I enjoy learning new concepts,” said Behr. “Being able to show a student that you can learn and then accelerate your career is why I like it so much."

Behr’s journey is a powerful example of how passion, adaptability, and a commitment to education can lead to a fulfilling and impactful career. Her dedication to bridging industry and academia ensures that her students are well-prepared to navigate and excel in the ever-evolving field of AI and machine learning.

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Determining quality in forensic injury imaging - ��AV secures NIH AIM-AHEAD funding to advance equity in AI-driven injury detection

dhawkin — Fri, 22 Nov 2024 18:21:21 +0000

Determining quality in forensic injury imaging - ��AV secures NIH AIM-AHEAD funding to advance equity in AI-driven injury detection dhawkin Fri, 11/22/2024 - 13:21

In This Story

Janusz Wojtusiak, PhD

Katherine Scafide, PhD, RN, FAAN

David Lattanzi

��AV has been awarded funding from the National Institutes of Health (NIH) through its Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program.

This initiative encourages more people from historically underrepresented groups in researching and developing of artificial intelligence (AI) and machine learning (ML) models. AIM-AHEAD aims to leverage the growing volume of data generated through electronic health records (EHR) and other biomedical research to address health disparities and inequities.

Janusz Wojtusiak. Photo by the Office of University Branding

The newly funded project, led by Janusz Wojtusiak, builds upon the Equitable and Accessible Software for Injury Detection (EAS-ID) initiative aimed at building artificial intelligence tools for collecting, assessing and analyzing injury data. The new funding specifically addresses the problem of measuring equity and quality of imaging documentation.

In addition to Wojtusiak, an interdisciplinary research team comprising Katherine Scafide and David Lattanzi is joined by Health Informatics Assistant Professor Eman Elashkar, Research Assistant Professor Jesse Kirkpatrick, who is also the acting director of the Institute for Philosophy and Public Policy, and Amin Nayebi Nodoushan, a postdoctoral researcher at Mason.

Their research focuses on using AI methods combined with Alternate Light Sources (ALS) to improve bruise detection, addressing visibility issues for individuals with darker skin tones who often encounter challenges in accurately assessing injuries sustained from violence.

Current literature highlights that skin color significantly influences the accuracy of AI-based tools in healthcare. Studies have documented disparities in the performance of medical devices, such as pulse oximeters and smartwatches, which frequently yield inaccurate readings for individuals with darker skin. These discrepancies can lead to delays in critical medical interventions, exacerbating existing health disparities.

The proposed research will focus specifically on bruises, the most common type of soft tissue injury experienced by victims of intimate partner violence (IPV). Statistics indicate that approximately one in three people in the U.S. have experienced IPV, with racial minorities reporting disproportionately higher rates. Survivors with darker skin tones have noted that their bruises are often invisible, resulting in significant delays in seeking necessary medical care.

Katherine Scafide is part of the multidisciplinary team working to advance equity in AI-driven injury detection. Photo by Emma Anderson.

Leveraging the innovative use of ALS, the George Mason research team has demonstrated marked improvement in bruise visibility across diverse skin tones. The team aims to develop methods that ensure that AI-based tools provide equitable and unbiased detection and characterization of injuries. This will involve creating combined technical-ethical metrics to assess the performance of these tools across different skin tones. Engaging diverse stakeholders, including clinicians, forensic nurses, and community representatives, will be essential in the development process to align with ethical practices in AI.

The research team’s two primary aims are to develop metrics that assess equity in AI tools and apply these metrics to improve bruise detection models. They have already collected a substantial dataset of bruise images taken under various lighting conditions, which will be utilized to enhance the AI models’ performance. The interdisciplinary nature of the research team, comprising informaticians, engineers, clinicians, and ethicists, ensures a comprehensive approach to tackling these complex issues.

In alignment with AIM-AHEAD’s goals, this research initiative promises to contribute significantly to addressing health inequities and enhancing the capabilities of AI in healthcare. By focusing on the specific needs of underrepresented communities, the George Mason research team is paving the way for more equitable health care solutions, ultimately aiming to improve the accuracy and efficacy of injury assessments across diverse populations.

This project is led by George Mason’s College of Public Health in collaboration with the College of Engineering and Computing. More information on the project can be found at bruise.gmu.edu.

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Machine Learning in Health Care

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New research utilizes machine learning to address social isolation among alzheimer’s caregivers

mthomp7 — Thu, 10 Oct 2024 17:22:37 +0000

New research utilizes machine learning to address social isolation among alzheimer’s caregivers mthomp7 Thu, 10/10/2024 - 13:22

A new study from the College of Public Health at ��AV, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah, explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s disease and related disorders.

This research, which has been selected for funding by the Commonwealth of Virginia's Alzheimer's and Related Diseases Research Award Fund (ARDRAF), marks a significant advance in leveraging artificial intelligence (AI) to address a critical public health issue.

Professor Janusz Wojtusiak uses machine learning to predict social isolation among caregivers of individuals with Alzheimer’s disease and related disorders.

Alsadah has played a pivotal role in this study, contributing her expertise as a doctoral candidate to develop and refine machine learning models. These models analyze data from the Health and Retirement Study (HRS), National Health and Aging Trends Study (NHATS), and Behavioral Risk Factor Surveillance System (BRFSS) to identify and predict social isolation trajectories among caregivers. The study’s key finding is that AI-driven methods offer a novel approach to detecting social isolation, potentially leading to targeted interventions.

“This research is groundbreaking in its application of machine learning to predict social isolation among caregivers, an area previously underexplored,” said Wojtusiak. “The potential to develop AI-based interventions could significantly enhance the well-being of caregivers who often face profound social and emotional challenges.”

The study aims to construct predictive models for social isolation, adapt them for Medicare claims data, and simulate their application across large populations. The goal is to create a framework for AI-based interventions to address loneliness among caregivers effectively.

The innovation of this work lies in its use of machine learning to analyze and predict social isolation—a new approach with the potential to transform current understanding and interventions. Wojtusiak and Alsadah’s research is set to significantly impact health informatics and caregiver support. “Predicting Social Isolation Among Alzheimer’s Caregivers Using Machine Learning” will be published in an upcoming issue of a leading health informatics journal, emphasizing the importance of innovative approaches to complex public health challenges.

Additional contributors include College of Public Health alumna Mary Louise Pomeroy, a postdoctoral research fellow at Johns Hopkins University, who provided valuable expertise on social isolation and relevant datasets.

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Two George Mason faculty appointed to Virginia AI task force

Nathan Kahl — Sat, 27 Jul 2024 13:23:33 +0000

Two George Mason faculty appointed to Virginia AI task force Nathan Kahl Sat, 07/27/2024 - 09:23

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Amarda Shehu

Padmanabhan Seshaiyer

Amarda Shehu, a professor of computer science and associate dean in the College of Engineering and Computing, and Padhu Seshaiyer, a professor of mathematical sciences and the former associate dean for academic affairs for the College of Science, were named to the State Council of Higher Education for Virginia (SCHEV) EO30 task force, prompted by Executive Order (EO) 30 by Virginia Governor Glenn Youngkin.

Both Shehu and Seshaiyer acknowledge that this is a timely and important initiative by SCHEV, and they are excited that ��AV is an integral part of this process, supporting SCHEV, and by extension, institutes of education across the commonwealth.

Shehu's research is on AI and machine learning. Photo by the Office of University Branding

The EO states that it “recognizes the dual nature—both the opportunities and risks—of this developing technology in education. K-12 schools and postsecondary institutions must embrace innovation, experimentation, and new educational opportunities for students as well as ensure appropriate guardrails and necessary constraints exist to safeguard individual data privacy and mitigate discriminatory outcomes.”

SCHEV leaders chose Shehu and Seshaiyer for the task force because of their longstanding work and leadership in artificial intelligence (AI), STEM, and education; both admit there is a lot to consider around AI, and they are glad that Virginia is putting forth this effort.

Shehu said a broad conception of AI is necessary. “We need to think a little bit more holistically regarding the different opportunities and potential risks with regards to integrating AI in education. What kind of guidelines should we have for universities and for community colleges, not just for educators, but also for all the different organizations that they work with across Virginia.”

Seshaiyer explained that the task force has broad representation. “While we talk about promoting innovation and economic growth, there's also this whole aspect of ethical boundaries and considerations in AI development and deployment," he said. "It requires government, industry, and academia coming together to understand AI research, workforce development, and responsible AI.”

Shehu said the task force’s work and function are evolving. “A lot of the meetings I imagine will be thought experiments and the members feeding off one another based on our expertise. Some of us may be more positioned toward exciting applications, while some will want to caution, ‘Hey, hold on a second—you can't really do acquisition like this because you have to go through so many regulatory processes.’”

Shehu said they had been asked to consider and build on examples and guidelines from states, countries, and regions to be forward-thinking in their approach. One approach would be for the task force to categorize AI applications that are definitely a no, some that are yes, and some that still exist in a gray area.

Seshaiyer has encouraged students to experiment with AI in assignments. Photo provided

“For instance, AI assessing your emotions and your reactions and anything like that used for surveillance—that's a ‘no’ unless in situations of national security,” she said. “Consider personalized learning settings that are popping up where you might see clear value for an AI agent that sits and monitors you to read facial features so it can figure out if I'm confused or if I'm understanding. But for the task force, that’s a no, because that is surveillance. Please keep in mind we are thinking about children and students, a highly vulnerable population.”

Seshaiyer said, “For higher ed we have K-12 on one side, and workforce on the other side, so we are theoretically coming up with all sorts of academic ideas about AI and its implications. We test it on a nice cookbook problem, while the workforce side is looking at it from a business perspective, and K-12 is of course thinking of the learning implications. This is an example of having the tension in understanding AI implications by different stakeholders between impact, thoughtfulness, and speed.”

Those dealing with children have multiple considerations, he added. “So, the question for the principal or the Chief Information Technology Officer of the school system is, ‘How do I navigate this space? Which software is feasible, appropriate and at the right price point? Is it safe to use and are there any backdoors in terms of data privacy?’ There are these really practical questions for which they don't have answers because nothing is formally written, but they also don't quite know how to evaluate AI and its implications even if there are answers of how to actually evaluate it.”

The recommendations and guidance provided will impact rank-and-file faculty members, but also must be understood by deans, presidents, and provosts in higher ed, the faculty members said.

Seshaiyer said, “This could have impact across the curriculum. Should I change the content or the way I teach a class? Do I need to go back because maybe I was doing it all wrong or I thought I was doing it right? So, if I were to put my money into the recommendations, it would be training, training, training,”

The task force members are currently working on creating a draft of emergent themes on opportunities, issues, and executive order responsibilities. They have not yet been told what their timeframe is or the expected length of service.

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��AV Receives $4.85 Million Gift to Increase Intimate Partner Violence Detection and Reporting

mthomp7 — Tue, 05 Mar 2024 14:32:37 +0000

��AV Receives $4.85 Million Gift to Increase Intimate Partner Violence Detection and Reporting mthomp7 Tue, 03/05/2024 - 09:32

In This Story

Katherine Scafide, PhD, RN, FAAN

Janusz Wojtusiak, PhD

David Lattanzi

Melissa J. Perry, Sc.D., MHS

"By prioritizing inclusivity and recognizing the unique challenges faced by survivors with darker skin tones, Scafide's research aligns seamlessly with our vision to end domestic violence in our lifetime."

Ruth Glenn

President of Survivor Justice Action

Dr. Katherine Scafide discusses Alternate Light Sources (ALS) on NBC Nightly News. Click here to view.

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��AV Receives $4.85 Million Gift to Increase Intimate Partner Violence Detection and Reporting

FAIRFAX, VA (March 5, 2024) – ��AV today announced an anonymous $4.85 million gift to advance groundbreaking research on bruise and injury detection for individuals who experience interpersonal violence. The funding will help develop new tools in imaging technology using a light source that is five times better than white light for identifying and visualizing bruising across all skin tones for use by forensic nurses, social service providers, and law enforcement.

“This single largest gift to support research in the College of Public Health’s history underscores Mason faculty’s leadership in life-changing work affecting those who experience interpersonal violence,” said Melissa J. Perry, Dean of the College of Public Health. “A gift of this magnitude brings transformative resources to Mason’s cross-disciplinary research and collaborative approach that takes ground-breaking research to new heights with the potential for greater use and impact.”

Mason’s acclaimed interdisciplinary research in using Alternate Light Sources for bruise detection, as featured on NBC Nightly News, is led by Katherine Scafide, David Lattanzi, and Janusz Wojtusiak. The funding will expand the team’s bruise detection system that leverages artificial intelligence (AI), imaging and light technologies, forensic reports, and clinical expertise to increase data collection and access to care for trauma victims. The technology can be used across all skin tones and responds to deficits in the identification of physical injuries particularly among people with darker skin tones.

Filmmaker and humanitarian Angelina Jolie examines bruising using alternate light.

"By improving documentation of physical trauma, we hope to address disparities in clinical care which can lead to improved healthcare for all as well as legal recourse for all survivors of violence," said Scafide, forensic nurse, research leader, and Associate Professor of Nursing in Mason’s College of Public Health. “This gift expands Mason’s leadership in developing new technologies to empower vulnerable communities.”

One in 3 women worldwide experience physical trauma at the hands of an intimate partner or stranger. In the United States, over 10 million women and men grapple with intimate partner violence each year. Among domestic violence survivors, bruises and soft tissue trauma are the most reported injuries. When injuries are accurately documented, survivors are more likely to participate in the criminal justice process, according to recent studies on interpersonal violence and reporting. In addition, family and partner violence and elder abuse can lead to a host of other public health issues such as infectious and noninfectious diseases, mental health trauma, and reproductive health problems.

"A vital piece to success is ensuring that any AI tool has access to in-depth data from all skin tones and skin characteristics alongside human expert analysis,” said Lattanzi, associate professor in the Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering in the College of Engineering and Computing.

Supporters working on ending domestic violence commended the announcement.

Ruth Glenn, President of Survivor Justice Action, applauds the groundbreaking work led by Dr. Katherine Scafide at ��AV, harnessing alternate light source (ALS) technology to support and uplift the needs of domestic violence survivors. “In a nation where domestic violence disproportionately impacts communities of color, this innovative research holds immense promise. By prioritizing inclusivity and recognizing the unique challenges faced by survivors with darker skin tones, Scafide's research aligns seamlessly with our vision to end domestic violence in our lifetime. Continued research on this technology not only has the potential to revolutionize the identification of bruising in diverse populations but also signifies a vital step toward justice and empowerment for those who have long been marginalized. Survivor Justice Action stands firmly in support of initiatives that demand systems change and establish resources for survivors and advocates.”

“The Scafide team’s research and findings are revolutionizing medical forensic examinations. The ability for medical professionals to visualize and identify previously ‘invisible’ injury substantively advances quality medical assessment and patient care. Visibility and documentation of trauma/ injury provide valuable forensic corroboration for law enforcement and the courts to hold offenders accountable,” said Ann Burdges, CEO of End Violence Against Women International.

This project is led by Mason’s College of Public Health in collaboration with the College of Engineering and Computing. More information on the study can be found at bruise.gmu.edu.

About ��AV

��AV is Virginia’s largest public research university. Located near Washington, D.C., Mason enrolls more than 40,000 students from 130 countries and all 50 states. Mason has grown rapidly over the past half-century and is recognized for its innovation and entrepreneurship, remarkable diversity, and commitment to accessibility. In 2023, the university launched Mason Now: Power the Possible, a one-billion-dollar comprehensive campaign to support student success, research, innovation, community, and stewardship. Learn more at gmu.edu.

About the College of Public Health at ��AV

The College of Public Health at ��AV is the first College of Public Health in Virginia combining public health transdisciplinary research, education, and practice in the Commonwealth as a national exemplar. The College enrolls more than 1,900 undergraduate and 1,300 graduate students in our nationally recognized programs, including six undergraduate degrees, eight master’s degrees, five doctoral degrees, and six professional certificate programs. The College is comprised of the School of Nursing and the Departments of Global and Community Health, Health Administration and Policy, Nutrition and Food Studies, and Social Work. The College’s transdisciplinary research seeks to understand the many factors that influence the public’s health and well-being throughout the lifespan, from the cell structures to the policy decisions. Areas of focus include environmental exposures, pregnancy outcomes, youth risk behavior, interpersonal violence, infectious disease, nutrition, mental and behavioral health, inequality and populations that are marginalized, health informatics, health policy, and novel methods for causal inference. With more than 500 partners, the College serves the community and engages our students through research, practice, and clinical care.

About the College of Engineering and Computing (CEC)

The College of Engineering and Computing (CEC) is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the CEC enrolled a record high of 10,933 students in fall 2023. The college has 34 undergraduate, master’s and doctoral degree programs including several first-in-the-nation offerings. As part of a nationally ranked research university, CEC research teams expended $65 million in sponsored research awards in the past year and had projects with over $119 million in current and anticipated awards. The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.

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College of Engineering and Computing launches graduate certificate programs in AI, microfabriction, smart grid technology, and machine learning

Teresa Donnellan — Thu, 29 Feb 2024 17:34:57 +0000

College of Engineering and Computing launches graduate certificate programs in AI, microfabriction, smart grid technology, and machine learning Teresa Donnellan Thu, 02/29/2024 - 12:34

In This Story

In response to the evolving demands of the engineering industry, ��AV's College of Engineering and Computing is launching four new graduate certificate programs, offering specialized training in burgeoning areas within mechanical engineering, electrical and computer engineering, systems engineering and operations research, and computer science. These programs will equip students with the skills and expertise needed to excel in tomorrow’s job market.

Responsible Artificial Intelligence Graduate Certificate

Under the guidance of Missy Cummings, a professor and the director of the Mason Autonomy and Robotics Center (MARC), the Responsible Artificial Intelligence Graduate Certificate program addresses the pressing need for thoughtful AI integration into various industries.

Missy Cummings

“With the rise of large language models like ChatGPT, there is a critical need for companies to develop strategies for effectively and safely integrating AI into their systems. The Mason approach to Responsible AI emphasizes both rigorous technical and sociotechnical approaches to identifying and mitigating AI risks while achieving value-added outcomes,” said Cummings.

Ideal candidates for this certificate program are “people responsible for ensuring the safe and efficacious adoption of AI into their companies or agencies who want to develop and update their skills to understand the design, testing, and implementation of cutting-edge technology,” she added.

Cummings especially looks forward to teaching the AI Design and Deployment Risks class, she said, “because we analyze current and pressing issues surrounding the risks of deploying AI. The combination of theory and practice is critical to understanding these issues, as well as developing the technology and policy mitigations needed to ensure safe and efficacious AI.”

Microfabrication Graduate Certificate

Led by assistant professor Pei Dong, the Microfabrication Graduate Certificate program addresses the growing demand for multidisciplinary training in the manufacturing sector. With a focus on practical training opportunities facilitated by Mason's new cleanroom facility, this program prepares students for rewarding careers filling societal needs and industry demands.

Pei Dong

“Mason has demonstrated extensive expertise in this field for an extended period,” said Dong. “The new research facility now offers hands-on training opportunities for students, marking an exciting development. We believe the timing is perfect to launch the program.”

While the program is designed to benefit Mason graduate students in engineering and science, Dong noted, those with a bachelor’s in a STEM field from outside of the university can also enroll.

“I am thrilled about the four courses currently available to students,” said Dong. “The tremendous support from the Mechanical Engineering Department, Electrical and Computer Engineering Department, the Physics and Astronomy Department and the cleanroom team, ensure that these courses offer comprehensive training from both engineering and science perspectives.”

Smart Grid Technology Graduate Certificate

Associate professor Liling Huang spearheaded the creation of the Smart Grid Technology Graduate Certificate program for engineers interested in modernizing power grids with sustainability goals in mind.

Liling Huang

“The need for this program was identified through extensive market research and engaging with industry experts,” explained Huang. “We recognized a growing demand for professionals skilled in smart grid technology, driven by the imperative of modernizing power grids and meeting sustainability goals. The demand for smart grid technology is expected to continue growing, making it an exciting field for professionals to pursue.”

Ideal for professionals in the utility and energy sectors, this program offers comprehensive training in smart grid technology, addressing critical societal and economic issues such as energy sustainability and grid resilience.

Passionate about teaching power and energy courses, Huang is particularly excited about teaching ECE 518 Power System Protection and Control. She said that the contents of that course are “paramount in ensuring the reliability and stability of the energy infrastructure.

“This course incorporates hands-on experiments supported by the cutting-edge facilities in the Smart Grid Lab at Mason Square,” Huang noted. “I believe these practical experiments will provide students with invaluable insights into real-world applications and deepen their understanding of smart grid design, operation, and dynamics.”

Machine Learning for Embedded Systems Graduate Certificate

The Machine Learning for Embedded Systems Graduate Certificate program will equip students with the skills needed to harness the power of machine learning within computing systems, such as those in autonomous vehicles, medical devices, and smart appliances.

Maryam Parsa and team

“As machine learning models become more complex, their energy consumption and demand for computational resources grow,” said Maryam Parsa, an assistant professor of electrical and computer engineering, who will be teaching in the program. “By focusing on embedded [computer] systems, this program contributes to the development of energy-efficient machine learning implementations, crucial for reducing the carbon footprint of digital technologies.”

In addition, Parsa noted, the program will address the importance of data privacy and security in embedded systems.

With electives in neuromorphic computing, big data technologies, and hardware accelerators for machine learning, among other topics, this program prepares alumni of computer or electrical engineering students to tackle complex machine learning challenges. Parsa added the program would be appropriate for “embedded software developers writing code for microcontrollers” and “hardware designers who do not have a background in machine learning.”

With a diverse range of new offerings, Mason continues to lead the way in engineering education and research. These four certificate programs represent the university's commitment to providing in-demand education and preparing future engineers and technologists to address the challenges of tomorrow.

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mechanical engineering

Electrical and Computer Engineering

Artificial Intelligence

Machine Learning

Campus News

Tech Talent Investment Pipeline (TTIP)

TTIP

Tech Talent Investment Program

Mason, Amazon collaboration to deliver innovations in education and research

Colleen Rich — Mon, 28 Nov 2022 17:03:01 +0000

Mason, Amazon collaboration to deliver innovations in education and research Colleen Rich Mon, 11/28/2022 - 12:03

��AV and Amazon have entered into a strategic collaboration that will allow the university to better serve students, advance its commitment to a more sustainable campus environment, and introduce new educational programs in data center engineering.

Photo by Evan Cantwell/Creative Services

By leveraging technical solutions from Amazon Web Services’ cloud services, Mason will develop a unified platform to improve the process for students from community colleges to transfer into the university. The seamless process will support Mason’s commitment to access by eliminating obstacles related to enrollment and transfer, ensuring systematic barriers do not prevent student success.

Mason faculty, students, staff, and public-sector and industry partners can also expect the development of new approaches to address food insecurity, reduce the technical skills gap in data center engineering, and advance environmental priorities. In the coming years, students will be able to access these novel programs and new curriculum that will help learners pursue careers in data center engineering across the greater Washington metropolitan area, where there is an increasing need for mechanical and electrical engineering talent.

Mason is among the largest producers of tech talent in Virginia, with 40% of students majoring in STEM fields. The university is ranked No. 1 in the commonwealth and No. 9 nationally among public institutions for innovation by U.S. News and World Report.

“The diverse talent pipeline that ��AV produces is in part what attracted Amazon to Arlington,” Mason President Gregory Washington said of the company’s construction of a headquarters in the city. “Mason’s work with Amazon will better serve the students in that pipeline as well as drive economic growth through business, government and community collaborations as Mason becomes one of the most technologically advanced, inclusive universities in the nation.”

As Mason works with Amazon Web Services to implement enhanced, high-performance computing and machine learning, it also will accelerate its research capabilities and provide new platforms for innovation, including an increased collaboration with the intelligence community to drive research and new discoveries with artificial intelligence, the Internet of Things, and 5G technology.

In total, this unique collaboration will deliver a secure, cloud-based environment for university, industry and government mission partners to conduct cutting-edge research.

"This is just the beginning of a powerful collaboration," said Amazon's Paul Misener. Photo by Ron Aira/Creative Services

"In this long-term initiative, customer services and resources from across Amazon will accelerate innovation at Virginia's largest public research university, including by helping Mason innovate and build on the vast portfolio of AWS Cloud technologies and solutions,” said Paul Misener, vice president for global innovation policy and communications at Amazon. “This is just the beginning of a powerful collaboration that not only will improve student outcomes, but also will create a more resilient, efficient, and sustainable future for the university.”

The newly announced projects will add to an already strong collaborative effort between Mason, AWS, and Amazon to support students and innovation.

A just-completed hackathon co-hosted by Mason and Amazon, a project based out of the university’s Mason Square in Arlington, Virginia, challenged teams from U.S. and international academic institutions, companies, and other affiliations to develop innovative ideas to improve public-private collaborations against the industry-wide global challenge of counterfeiting.

Mason Square is also the future home of Mason’s Fuse building, a 345,000-square-foot facility that will open in 2025 as the flagship tech hub for digital innovation, showcasing the power of partnerships in the Rosslyn-Ballston corridor, connecting students, faculty, industry, and government.

Additionally, AWS’ Girls Tech Day in Northern Virginia was held at Mason’s Science and Technology Campus with the goal of inspiring girls and women to pursue careers in the technology sector. And Mason President Gregory Washington recently participated in a panel discussion, hosted by Amazon, that focused on workforce development and the future of work.

“��AV has proven to be a leading education institution in the nation’s capital for a number of years,” said Kim Majerus, vice president, U.S. education, state and local government at AWS. “As one of the first universities to launch a cloud computing degree program, Mason has always seen how the power of technology can help meet mission outcomes. This collaboration will be transformative in showing the positive impact technology can have on the education community across the nation, as well as advance research in cybersecurity, defense, and military intelligence for public-sector leaders.”

Topics

All eyes on machine learning

Rena Malai — Wed, 23 Feb 2022 18:39:30 +0000

All eyes on machine learning Rena Malai Wed, 02/23/2022 - 13:39

In This Story

Qi Wei

The human eye may soon see faster diagnosis with machine learning, or AI. Through algorithms, AI can potentially assess eye alignment problems quickly, resulting in better treatment of double vision.

This is a recent finding from a $1.8 million research grant funded by the National Institutes of Health. Qi Wei, an associate professor in the Department of Bioengineering at ��AV, is one of four principal investigators researching treatments for strabismus and double vision through the grant.

In a previous article that introduced the grant, Wei is helping to develop a data-driven computer model of the eye for diagnosing and treating strabismus. Applying machine learning is an exciting new development, she says.

“From an engineering perspective, the use of machine learning leverages and integrates data on a higher level,” says Wei. “It could become a tool or platform to help physicians diagnose eye problems.”

Although there is promise, it’s not necessarily an easy or immediate fix, says Wei. Usually, machine learning models work better when trained by more data. MRI is still the gold standard to confirm specific causes of strabismus, but this evaluation is not routinely obtained in most strabismic patients.

“When it comes to imaging, most eye doctors do not prescribe MRI for their patients before strabismus surgery, sometimes because of the cost of the imaging,” says Wei. “While the machine learning method for interpreting office measurements of eye alignment is not expensive, the MRI machine is.”

There is also the chance of error with AI, and a diagnosis that’s not perfectly accurate.

The use of machine learning will be further demonstrated at the annual American Association for Pediatric Opthamology and Strabismus conference in March in Scottsdale, Arizona. Along with Wei, Dr. Joseph Demer, professor of pediatric ophthalmology and professor of neurology at the University of California, Los Angeles will coordinate a diagnostic show-down where patient strabismus cases will be presented. Over 100 ophthalmologists from around the world will be invited to compare their diagnosis to the AI diagnosis in real time. Then the true reveal from a high-performance MRI scan will be disclosed. It will show if the quick draw of expert eye doctors is as accurate as computerized AI.

“We hope this is a fun and hands-on approach to test the AI theory and receive feedback from experts in the field,” says Wei.

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College of Engineering and Computing

Bioengineering

crossed eyed

Machine Learning

Machine Learning

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