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Announcing the recipients of the 2025 Presidential Awards for Faculty Excellence

Lauren Reuscher — Mon, 14 Apr 2025 14:49:41 +0000

Announcing the recipients of the 2025 Presidential Awards for Faculty Excellence Lauren Reuscher Mon, 04/14/2025 - 10:49

George Mason �鶹�� President Gregory Washington has announced the recipients of the 2025 Presidential Awards for Faculty Excellence, honoring 12 George Mason faculty members for their work on behalf of the university, students, and the broader community.

The awards honor faculty with up to six years of service, six to 12 years of service, and more than 12 years of service.

This is the ninth year for the Presidential Awards for Faculty Excellence. Recipients are selected by a review committee that includes prior award recipients and senior leaders from relevant areas. They will be honored at a reception May 13.

“Faculty excellence is an undeniable reason why George Mason is consistently ranked as one the country’s top 50 public universities,” President Gregory Washington said. “We honor these faculty members’ scholarship and dedication to help students achieve their highest potential with the university’s highest faculty recognition.”

The John Toups Presidential Medal for Excellence in Teaching is presented to a faculty member whose teaching inspires and stimulates students in the finest tradition of higher education.

The Beck Family Presidential Medal for Excellence in Research recognizes extraordinary contributions by members of the Mason faculty to consequential research of high impact. The award is presented annually to a George Mason faculty member whose research represents groundbreaking advances in their field.

The United Bank Presidential Medal for Excellence in Diversity and Inclusion recognizes extraordinary contributions in teaching, research, scholarship, creative works, or service that directly advances diversity and inclusion inside and outside the George Mason community.

The Earle C. Williams Presidential Medal for Excellence in Social Impact is presented to a faculty member in any discipline who makes extraordinary efforts to use their scholarship to solve real-world problems.

The complete list of 2025 honorees is below. See prior recipients for 2017 to 2024.

Bethany Cieslowski

Faculty Excellence in Teaching Award Recipient

Bethany Cieslowski

Chief Innovation Officer for Immersive Technologies and Instructional Associate Professor, School of Nursing

Bethany Cieslowski joined the faculty of the School of Nursing as an instructional faculty member in 2021. She serves as the chief innovation officer for immersive technologies and the bachelor of science in nursing director in the College of Public Health. Since 2017, when she received the Certified Healthcare Simulation Educator (CHSE) certification, she has devoted herself to educating the nursing workforce of the future using simulation and technology. Cieslowski has been a pioneer at George Mason in the use of virtual reality (VR) simulations that immerse students in clinical nursing scenarios. To aid this effort she established the College of Public Health’s VR SIM lab, which is the first lab in the country to receive accreditation from the Society for Simulation in Healthcare for the use of immersive technologies in medical scenarios.

Angela Miller

John Toups Presidential Medal for Excellence in Teaching Recipient

Angela Miller

Associate Professor, College of Education and Human Development

Angela Miller is an associate professor in the College of Education and Human Development. Her primary teaching focus is on quantitative research methods. She has taught 13 different courses in her time at George Mason, and she took the lead in redesigning the research methods curriculum for PhD students and developed three new courses to that end. While her own teaching has been focused on the graduate level, she took a lead role in developing, teaching, and now mentoring graduate students and other faculty in an undergraduate statistics course that is part of the Mason Core for Quantitative Reasoning. Miller makes deliberate efforts to tailor her instruction to the unique needs of her students and she consistently receives outstanding evaluations. She has made significant contributions to graduate mentoring, having chaired six dissertation committees, served as the methodologist on an additional 18 dissertation committees, and chaired six MA thesis committees, as well as an additional 16 MA capstone projects. She was also a recipient of the 2017 George Mason �鶹�� Teaching Excellence Award.

Weiwen Jiang

Faculty Excellence in Research Award Recipient

Weiwen Jiang

Assistant Professor, Electrical and Computer Engineering Department

Weiwen Jiang, an assistant professor in the Department of Electrical and Computer Engineering in the College of Engineering and Computing, received his PhD in Electrical and Computer Engineering from the �鶹�� of Pittsburgh in 2019 and spent two years at the �鶹�� of Notre Dame as a postdoctoral researcher. Jiang’s research is in the relatively new field of quantum computing, which uses quantum mechanics to enable computers to solve more complicated problems. Jiang’s research has important applications. For example, one of his recent papers combines quantum computational techniques with machine learning to solve problems relating to the discovery of new medicines. Jiang has an impressive research record of top-tier conference presentations and publications, some of which are in the most selective journals in his field (Nature Communications, Nature Electronics, Scientific Reports).

Xuesu Xiao

Faculty Excellence in Research Award Recipient

Xuesu Xiao

Assistant Professor, Computer Science Department

Xuesu Xiao received his PhD in Computer Science in 2019 from Texas A&M �鶹��, and after three years in industry as a roboticist with Everyday Robots, an Alphabet/Google company, he joined the Computer Science Department in the College of Engineering and Computing. His research aims to develop intelligent mobile robots that can navigate in challenging terrain with minimal human oversight. His cutting-edge work in the field of social robot navigation seeks to develop robots that can navigate human-occupied public spaces safely while respecting social norms. At George Mason, he established the RobotiXX Lab, in which he works with postdocs, graduate students, and high school students to develop deployable robots. An outstanding researcher, he was awarded the New Generation Star recognition at the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Robotics and Automation.

Aarthi Narayanan

Faculty Excellence in Research Award Recipient

Aarthi Narayanan

Professor, Biology Department

Aarthi Narayanan joined the George Mason faculty as a tenure-line faculty in 2013 after spending six years at the National Centre for Biosecurity and Infectious Disease. She is currently a professor in the Biology Department in the College of Science. Her research focuses on the impact of viruses–including SARS-CoV-2, Ebola, Dengue, and HIV–on disease progression at the tissue and cell level. Her work has led to important discoveries in vaccine development, drug discovery, and biomarker identification for infectious diseases. Narayanan has an exceptional record of publications and external funding for her research. Moreover, she has been an exemplary citizen of the university and her profession. She has been a dedicated mentor to emerging scientists in academic and industry settings; a leader in mentoring junior faculty, postdoctoral researchers, and students; a vital contributor to curriculum development for undergraduate and graduate programs; and dedicated to outreach to the local community, participating in STEM programs for girls.

Allison Redlich

The Beck Family Presidential Medal for Faculty Excellence in Research Recipient

Allison Redlich

Professor, Criminology, Law and Society Department

Founder and Director, Modeling Decision-Making in the Legal System (MoDiLS) Lab

Allison Redlich is a professor in the Department of Criminology, Law and Society in the College of Humanities and Social Sciences and is the founder and director of George Mason’s Modeling Decision-Making in the Legal System (MoDiLS) Lab. Her research is deeply interdisciplinary. Trained in psychology, she brings insights from that field to address critical issues facing the legal system. For example, she has published influential research about interrogations and confessions in police and military contexts. This scholarship has been widely cited in amicus briefs to states and the Supreme Court, and Redlich herself has provided expert testimony in important cases involving contested confessions. She has produced similarly influential research on topics such as guilty pleas and mental health courts. Her work is credited with transforming scholarly thinking on these topics, and by all accounts is having a significant impact on current practices within the legal system. A prolific scholar and researcher, she has been elected a Fellow to the three most influential organizations in her academic fields: the American Psychological Association, the Association for Psychological Science, and the Academy of Experimental Criminology. Redlich has also distinguished herself as a mentor and has received mentoring awards from George Mason and from the American Society of Criminology and the American Psychology-Law Society.

Daphne King

Faculty Excellence in Diversity and Inclusion Award Recipient

Daphne King

Assistant Professor, Social Work Department

Daphne King joined the faculty at George Mason’s Department of Social Work in the College of Public Health in 2020 as an assistant professor and also serves as the MSW Online Program director. Prior to arriving at George Mason, she had an impactful career as a social worker working with individuals experiencing mental health challenges, with homeless and incarcerated populations, and in school social work settings. King’s scholarship and national contributions focus on the intersection of social work practice, clinician identity, and pedagogical strategies. Within the Social Work Department at George Mason, she has been proactive in providing leadership in course development, course refresh processes, and faculty training, particularly around online teaching to ensure that there is adequate support for diverse learners in digital and hybrid learning environments.

Janani Umamaheswar

Faculty Excellence in Diversity and Inclusion Award Recipient

Janani Umamaheswar

Associate Professor, Criminology, Law and Society

Janani Umamaheswar joined the Department of Criminology, Law and Society in 2021 as an assistant professor in the College of Humanities and Social Sciences. She is also an affiliate faculty member in the Women and Gender Studies Program. She is an accomplished scholar whose research addresses issues relating to social inequality, punishment and incarceration, and qualitative research methods. In her teaching she makes a point to include a broad range of perspectives on whatever subject matter she is teaching, and in her course design she creates assessment methods that give students of diverse backgrounds and viewpoints the opportunity to share their learning in different modalities. She has also created experiential co-curricular activities designed to help students grasp issues relating to inequality. For example, she worked with the Douglass Project, the country’s foremost prison visitation program, to take George Mason graduate students for a guided dialogue session in the Washington, D.C., jail. She has been an active member of the mentoring programs run by multiple divisions of the American Society of Criminology.

Jacqueline McDowell

United Bank Presidential Medal for Faculty Excellence in Diversity and Inclusion Recipient

Jacqueline McDowell

Associate Professor, School of Sport, Recreation, and Tourism Management

Assistant Dean for Faculty Success

Jacqueline McDowell is assistant dean for faculty success and associate professor in the School of Sport, Recreation, and Tourism Management in the College of Education and Human Development. A well-respected scholar, her work focuses primarily on diversity and inclusion in organized sports and recreation organizations. She has published widely in this field, particularly on the experiences of women and sport, such as athletic administrators and coaches. One of her articles was awarded the 2017 President’s Award for Article of Distinction at the National Intramural-Recreational Sports Association. In McDowell’s teaching, issues of inclusion are central. She has also been active in advancing inclusion in her professional service, both here at George Mason and in external professional organizations. For example, she serves on the American Kinesiology Association’s Membership Committee, where she has led efforts to bring more Historically Black Colleges and Universities into the field by developing outreach strategies. Due to the effectiveness of these efforts, she was asked to chair this committee for the American Kinesiology Association.

Margarita Tadevosyan

Faculty Excellence in Social Impact Award Recipient

Margarita Tadevosyan

Research Assistant Professor and Executive Director, Center for Peacemaking Practice, Jimmy and Rosalynn Carter School for Peace and Conflict Resolution

Margarita Tadevosyan received her PhD in Conflict Analysis and Resolution from George Mason �鶹�� in 2019 and is a research assistant professor and executive director of the Center for Peacemaking Practice at the Jimmy and Rosalynn Carter School for Peace and Conflict Resolution. She is a scholar-practitioner of conflict resolution and local peacebuilding, with a focus on South Caucasus and other post-Soviet areas. Specifically, she focuses on long-term peacebuilding, local conceptions of peace, local practices to build peace, and ways that international and local peacebuilders can work together respectfully. Tadevosyan’s social impact involves fostering dialogue and cooperation between communities that have experienced long-standing conflicts. She has also brought Carter School students into her work as co-planners, co-facilitators, and co-evaluators of conflict resolution and media literacy programs.

Susan Howard

Faculty Excellence in Social Impact Award Recipient

Susan Howard

Instructional Associate Professor, School of Integrative Studies

Susan Howard joined George Mason as a full-time faculty member in the School of Integrative Studies in the College of Humanities and Social Sciences in 2016. Howard is an educator, behavioral scientist, and entrepreneur-innovator who leverages and humanizes technology for social impact. Her teaching, research, and entrepreneurial focus is broad, ranging from global health to environmental science and design thinking. Her impact beyond the university has come primarily through the free digital gaming platform that her company has produced for an audience of marginalized youth in India and Nepal. The games, which are free to play, are designed to educate youth about the social and public health decisions they face in their own lives. To extend the impact of her work, Howard has formed partnerships with stakeholders in the adolescent health sector, including NGOs, women entrepreneurs, and nonprofits. Howard’s gaming platform, “Games of Choice, Not of Chance,” has received multiple accolades for its work, including the 2024 Innovation Award at the Global Digital Health Summit.

Rebecca Goldin

Earle C. Williams Presidential Medal for Faculty Excellence in Social Impact

Rebecca Goldin

Professor, Mathematical Sciences

Rebecca Goldin is Professor of Mathematics in the Department of Mathematical Sciences in the College of Science. For many years she has served as a driving force behind a global effort aimed at promoting statistical literacy among journalists and connecting the scientific community to the media. In that capacity she has written more than 100 articles, appeared in dozens of high-profile news shows and podcasts (CNN, NPR, ABC News, and PBS), and given a great number of public talks and interviews to audiences at major conferences and mathematics festivals. In addition to her far-reaching communication and outreach efforts, Goldin has done extensive volunteer work locally. Her efforts have been widely recognized by professional organizations in her field. In 2013, she was given the Association for Women in Mathematics Service Award for her contributions to the cause of educating women and girls in mathematics. In 2019, she was named a Fellow of the American Mathematical Society, an extraordinary honor that goes to only a few mathematics scholars per year, for both her scholarly contributions to the field of differential geometry and for her efforts to promote mathematical and statistical thinking to a wide audience.

About the Presidential Awards for Faculty Excellence

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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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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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PhD student knows how to (neural) network

Teresa Donnellan — Tue, 15 Oct 2024 18:54:28 +0000

PhD student knows how to (neural) network Teresa Donnellan Tue, 10/15/2024 - 14:54

Electrical and computer engineering PhD student Shay Snyder is not only “a very capable student,” as his George Mason �鶹�� advisor Maryam Parsa said, but he is also a tenacious networker. Passionate for his subject and tireless in his pursuit of research opportunities, Snyder joined George Mason's Department of Electrical and Computer Engineering (ECE) and assisted in securing at least two years of funding for a project in Parsa’s lab.

Parsa’s research focuses on neuromorphic, or "brain-inspired," computing across various levels of the computing stack. The question is "how can neuroscience and biology help us redesign computers to be more capable, energy-efficient, and robust?" said Parsa, who is an assistant professor in ECE.

Although Snyder began his PhD in January 2023, he had been part of the Mason Nation for the prior year, working as an undergraduate research assistant for Parsa as he finished up a bachelor’s degree at East Tennessee State �鶹��.

Snyder was an effective networker even as a teenager. He attended a two-week summer camp at Oak Ridge National Laboratory as a junior in high school and was eager to return.

Shay Snyder. Photo provided by Maryam Parsa.

“I found out that they have an internship program for high schoolers, so my entire senior year of high school, I emailed and emailed, saying like, ‘Hey, I like this about your work, and I want to work with you," Snyder said.

He recalled, “I sent so many emails, I got two e-mail accounts blocked because they thought I was spamming them, but luckily I heard back … so a week after I graduated from high school, I got to go to work at Oak Ridge for a summer, and that kind of started everything.”

He added, “It was a miracle.”

The internship was an eye-opening experience for Snyder. “Where I grew up in East Tennessee was much more remote," he said. "There are not a lot of technology jobs, and coming from my high school, I think over 50% of the kids were below the poverty line. So getting to see that was a whole new world for me, and I was determined that I wanted to continue doing work like they do at Oak Ridge.”

After that initial internship, Snyder continued reaching out to scientists he had met or learned about at Oak Ridge. He attended Lunch and Learn events for undergraduate students, at one of which he met Catherine Schuman, who introduced Snyder to the concept of neuromorphic computing.

“I was super inspired,” he said. He followed up with Schuman and was offered a yearlong position at Oak Ridge doing autonomous vehicle research for General Motors. He took his undergraduate classes part-time and worked remotely to leverage this opportunity.

Snyder first encountered Parsa when she gave a presentation at the International Conference on Neuromorphic Systems. She was then a post-doc also working at Oak Ridge National Laboratory with Schuman. Snyder contacted her, and the two stayed in touch. After joining George Mason, Parsa hired Snyder remotely as an undergraduate research assistant while he finished his undergraduate degree. Meanwhile, Snyder also started a part-time internship at the Pacific Northwest National Laboratory.)

“[Snyder] was still an undergraduate, and he worked on an area that was completely different from his background,” said Parsa. “The project was on neuromorphic computing, but it involved learning multiple new areas including Bayesian learning and Physics-Informed Neural Networks (PINN). He quickly learned the necessary background and developed Lava Bayesian Optimization that later merged with the Intel’s neuromorphic optimization framework, Lava-Optimization.”

The work has been published in multiple conference papers at the International Conference on Neuromorphic Computing Systems (ICONS), the Great Lakes Symposium on Very Large Scale Integration (GLSVLSI), and the International Conference on Machine Learning and Applications (ICMLA), and Snyder’s contribution is publicly available in Intel’s open-source Lava framework.

Two years ago, after Parsa circulated a call for proposals from the Army Ground Vehicle Research Center with her lab, Snyder approached her with an idea involving hyperdimensional computing. She encouraged him to write a draft. The two refined the idea and submitted a white paper on the topic. They were then invited to submit a full proposal, which was accepted for funding. So, the same semester that Snyder joined Parsa’s lab as a PhD student, the lab also began to receive funding for a project based on Snyder’s idea.

Maryam Parsa and lab members. Photo provided by Maryam Parsa.

Since Spring 2023, Snyder has become a full PhD student at George Mason and remains an important part of Parsa’s lab. Snyder has taken lead on multiple projects, academic, industry and government collaborations, and published multiple papers. He has also been mentoring not only high school interns and undergraduate students in Parsa’s lab, but also other PhD students. Since Snyder joined Parsa’s lab, he has been the first author of five published conference papers in top artificial intelligence and neuromorphic venues and coauthor in one published journal paper and six published conference papers.

Parsa deeply appreciates having Snyder in her lab, not only for his technical and professional skills but also for the positive energy he brings to the team. She highlights how Snyder's can-do attitude, curiosity, and collaborative nature have been instrumental to the success of numerous projects. His peers frequently rely on him, valuing his contributions and leadership in driving projects forward. Parsa regards working with Snyder as a true pleasure, given the impact he has made inside and outside in the lab.

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Taking a byte out of Apple

Martha Bushong — Thu, 09 May 2024 11:36:28 +0000

Taking a byte out of Apple Martha Bushong Thu, 05/09/2024 - 07:36

A 2020 graduate of George Mason’s Department of Electrical and Computer Engineering Iranian-born Farnoud Farahmand works for tech giant Apple in Silicon Valley doing a job he hadn’t thought about as an undergrad or even a grad student. Farahmand’s journey to California covered more miles than an American pioneer’s and his attitude mirrored the same qualities of curiosity, grit, and determination as those of Western settlers.

Farnoud Farahmand works on site at Apple in Silicon Valley three days a week.
Photo provided.

Farahmand said he chose Mason because he had family living in Virginia and found George Mason a good match for his goals, and his interest in digital design and embedded systems. “Mason had a good program. I saw there were some specializations in digital design and that was a great fit for me,” he said. Farahmand credits his PhD advisor, Professor Krzysztof (Kris) Gaj for teaching him the value of teamwork and nurturing his burgeoning curiosity.

“What I learned from Dr. Gaj was to be dedicated, do the hard work, and keep learning different topics. We used to have very long weekly meetings with him instead of meeting with each of his students in separately, he pulled us all together in one room at the same time,” said Farahmand. Sitting in long meetings with labmates, he learned about related topics and said that experience led him to his internships with Google.

Before the internship, Farahmand was focused on hardware implementation, but other people were working on side-channel analysis, and applied to Google online. “The thing is you don't know the positions. The job descriptions are very general when you apply for internships at Google. “The internship was mostly related to side-channel analysis but because I was in those meetings with Dr. Gaj and others for 2-3 years, I learned all these topics and then when I went for an interview when they asked all these questions, I was ready to answer.”

Farahmand’s advises current students to stay curious and don’t be afraid to learn about a different topic; take every chance you can to learn something new and different. “If I wanted to just focus on what I worked on from the beginning, which was doing digital design and implementing ciphers in hardware, then I maybe I wouldn’t have had the confidence for my internship interviews,” he said.

Farahmand thought that after interning successfully at Google he would be a good fit and applied for a job. Covid’s trajectory and downturn in the tech industry caused a detour that led him elsewhere. When he interviewed for a permanent position with Google, he said everything went well but at the height of the pandemic, the company wasn’t hiring. While he waited for Google’s hiring freeze to thaw, Apple came through with an offer.

That detour, and Farahmand’s new job, led to an opportunity in still another topic. The new job deals with modeling power based on the features that will be added in future generations of Apple electronics.

Farahmand had never worked on power optimization in his research but through his internship experience with side-channel analysis, its relationship to evaluating the power consumption of a chip, and power analysis and simulations, the hiring committee made the connection and offered him the position.

“It was a very good fit for the position and now that I’m working on it. I really like it. One thing that I see from students and for myself as well, we know very famous topics like digital design, verification, and physical design. These are very well-known positions, but sometimes there are available positions in good companies. We don't search for them, so we don't find them.” By keeping his options open, and looking for jobs in unexpected areas Farahmand discovered an unexpected path to success.

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Parsa joins three-year, $2.4 million 3D chip creation project

Teresa Donnellan — Fri, 10 Nov 2023 21:10:09 +0000

Parsa joins three-year, $2.4 million 3D chip creation project Teresa Donnellan Fri, 11/10/2023 - 16:10

In This Story

Maryam Parsa

The hippocampus stores memories and makes connections between them, recognizing trends and helping the brain to learn and adapt to its environment. One Mason professor has joined a cross-university, interdisciplinary team to create a chip that can do the same.

Maryam Parsa, an assistant professor in electrical and computer engineering, is one of the four principal investigators on a three-year, $2.4 million project funded by the National Science Foundation to create chips that processes information like the hippocampus.

Maryam Parsa with her George Mason �鶹�� research group.

The project, DEJA-VU, involves four principal investigators: Maryam Parsa from George Mason �鶹��, Akhilesh Jaiswal from the �鶹�� of Wisconsin, Madison (project PI), Babak Shahbaba, and Norbert Fortin both from the �鶹�� of California, Irvine. Each collaborator will contribute their special skills to create 3D Solid-State Learning Machines for Various Cognitive Use-Cases. The project will model and quantify key information processing steps in the hippocampus. These key hippocampal functions will then be embedded on to solid-state computing chips through state-of-the-art hardware design techniques. A hippocampal-aware, hardware-aware algorithmic framework will augment the chip design efforts to enable online learning and decision-making in resource constrained environments.

“The project has potential disruptive applications in the field of robotics and autonomous systems spanning industrial, consumer and defense sectors,” said Parsa. She added, “The transformative potential of the project emerges from research conducted at three different levels of abstractions of neuroscience, hardware, and algorithm.”

Parsa’s portion of the project is $550,000 for the development of the hippocampal-aware, hardware-aware learning algorithm.

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Quantum conundrums: Navigating noise and enhancing expertise

Nathan Kahl — Wed, 23 Aug 2023 14:12:07 +0000

Quantum conundrums: Navigating noise and enhancing expertise Nathan Kahl Wed, 08/23/2023 - 10:12

There’s a joke, playing on the quantum world’s unique properties, that goes, “There are three types of people in this world: Those who understand quantum computing, those who don’t understand quantum computing, and those who simultaneously do and do not understand quantum computing.” All kidding aside, Weiwen Jiang sees a world in which quantum computing is in widespread use; with new funding from the National Science Foundation (NSF), he is taking steps toward that goal.

Weiwen Jiang. Photo provided

Jiang, an assistant professor in George Mason �鶹��’s Department of Electrical and Computer Engineering, is leading two recently awarded NSF projects—worth a total $900,000—for work on the development of these complex devices and on building the quantum workforce of tomorrow.

Quantum computers differ from classical computers in that they use elements of quantum mechanics to perform calculations, allowing them to operate much faster and crunch more data. While there are several operational quantum computers in use—IBM and Google are among the top manufacturers—they currently are far from their promised potential and simply cannot yet make the large-scale calculations predicted of them.

Jiang said one key problem is, “They are not ‘stable.’ We can use them for computations, but you might get one answer today and then get an entirely different answer tomorrow.”

Quantum devices are notoriously susceptible to “noise”—specifically, things like cosmic rays, changes in the Earth's magnetic field, radiation, and even mobile Wi-Fi signals. The noise contributes to the devices’ instability.

The $600,000 collaborative grant will fund the work of Jiang and his collaborators from Kent State �鶹�� in developing an adaptor that will adjust to fluctuating noise, improving the performance of applications on quantum devices. Jiang is well versed on the topic, having recently won the Best Poster Award for “System-level optimizations in improving the robustness of quantum applications on unstable quantum devices” at an event at Oak Ridge National Lab.

According to Jiang’s preliminary works, the deployment of the quantum applications faces several challenges, including sustainability—on one quantum processor, most quantum applications are sensitive to the temporal changes of quantum noise; portability—different quantum processors (even from the same vendor) with specific properties will lead to variation of model uncertainty; and transparency—a lack of visualization tools can block users from tailoring their quantum applications to quantum computers for higher reliability. The NSF project will systematically provide solutions in response to these challenges.

Jiang is optimistic about the future of quantum computing: “Every year, we see a lot of breakthroughs. Just a couple of months ago IBM published a paper on noise reduction. And every year, we see that the number of qubits in quantum computers increases from five in the year 2000 to over 400 on a new computer from IBM.” (A qubit is the basic unit of information used in quantum computing, much like a 1 and 0 for traditional computing.)

Another grant, which Jiang shares with collaborators Mingzhen Tian and Jessica Rosenberg in the College of Science, provides $300,000 from NSF to bolster the quantum workforce pipeline. The grant is for “an end-to-end quantum system integration training program.” The faculty members are developing a new course at Mason, organizing workshops at the IEEE International Conference on Quantum Computing in September (where Jiang is the quantum system track co-chair), and conducting tutorials at international conferences. Recently the team, led by Rosenberg, coordinated a summer immersion program at Mason for high school students. In addition, in the coming months, Jiang will be conducting seminars at a variety of minority-serving institutions in the DC region.

Jiang said the opportunities for quantum-trained engineers are robust and growing. “I have collaborations locally with Leidos and MITRE, for example, and they have needs in this field. Further, we know that quantum will make a difference in everything from finance to drug discovery to machine learning and beyond.”

He is encouraged about the quantum future—both in the world and here at Mason. He stressed that as student demand grows for this technology, “we need to provide the appropriate materials for our students because we’re seeing a lot of strong interest in this field.”

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Khaled Khasawneh receives NSF Awards in collaboration with �鶹�� of California

Rena Malai — Mon, 15 Aug 2022 19:23:16 +0000

Khaled Khasawneh receives NSF Awards in collaboration with �鶹�� of California Rena Malai Mon, 08/15/2022 - 15:23

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Khaled Khasawneh

Khaled N. Khasawneh, assistant professor in the department of Electrical and Computer Engineering and the director of the Computer Architecture, Machine Learning, and Security (CAMLsec) Lab, has been awarded two NSF grants. These grants are in collaboration with �鶹�� of California (UC) Davis and UC Riverside, and total $2.4M.

“These are timely awards to allow my group to continue pursuing cutting edge research in machine learning security, cloud security, and hardware security fields,” says Khasawneh. “Special thanks to NSF for their funding. I appreciate the efforts of my collaborators, the endless support from our department, and the efforts of the talented students in my group.”

Award 1: Collaborative Research: SaTC: CORE: Medium: Targeted Microarchitectural Attacks and Defenses in Cloud Infrastructure

Cloud computing paradigms have emerged as a major facility to store and process massive amounts of data produced by various business units, public organizations, Internet-of-Things, and cyber-physical systems. The cloud scheduler is the component responsible for deciding which computer a cloud application should run. The current design of cloud schedulers only focuses on meeting the performance requirements of submitted applications without security considerations.

This project, in collaboration with professor Houman Homayoun’s lLab at UC Davis, examines how cloud schedulers can be exploited by attackers to facilitate targeted micro-architectural attacks in cloud environments. The project also explores novel approaches to defend against targeted micro-architectural attacks in the cloud.

Award 2: Collaborative Research: SHF: Medium: Approximate Computing for Machine Learning Security: Foundations and Accelerator Design

Advances in Deep Neural Networks (DNN) have enabled a wide range of promising applications. However, DNNs are vulnerable to Adversarial Machine Learning attacks, with potentially dangerous outcomes, such as mistaking a stop sign for a speed limit sign.

This project, in collaboration with professors Nael Abu-Ghazaleh and Samet Oymak at UC Riverside, will explore the use of approximate computing to improve the robustness of DNNs against adversarial attacks. Approximate computing is a design paradigm that trades results precision for simpler hardware.

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Two papers gain recognition in the hardware security field

Rena Malai — Fri, 25 Feb 2022 19:28:12 +0000

Two papers gain recognition in the hardware security field Rena Malai Fri, 02/25/2022 - 14:28

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Khaled N. Khasawneh (at right), assistant
professor in the Electrical and Computer Engineering Department, works alongside PHD student Behnam Omidi.

Khaled N. Khasawneh, assistant professor in the Electrical and Computer Engineering Department at George Mason �鶹��, contributed significant research and work to two papers which have been recognized in the area of hardware security.

Researchers in Khasawneh’s CAMLsec Lab Identified a New Vulnerability in the Cloud Scheduler

A paper entitled “Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks” was written as part of a collaborative research effort with �鶹�� of California (UC)- Davis and George Mason �鶹��. Along with his collaborators at UC Davis, Khasawneh helped to discover a new vulnerability in cloud schedulers, which could inadvertently allow targeted micro-architectural attacks in the cloud. This paper pointed out that certain features in the cloud scheduler enables arbitrary users to influence scheduling results. This can help attackers co-locate attacker’s code with a targeted victim’s code in a heterogeneous cloud, which enables a wide variety of micro-architectural attacks that leak sensitive data.

“The current design of scheduling algorithms in the cloud focuses on enhancing workloads performance, resource utilization, and load-balancing without security considerations, which may bring new vulnerability as we showed in our work,” says Khasawneh.

The paper is accepted for publication at the 2022 Network and Distributed System Security Symposium (NDSS), and will be presented there in April.

This paper is co-authored with Behnam Omidi, a second year PHD student within the Electrical and Computer Engineering Department. His research focuses on discovering systems vulnerabilities and hardware support to secure computing systems.

Khasawneh—Omidi’s advisor-- says this paper was a great opportunity to gain useful knowledge as it was a tremendous collaborative effort between both schools.

“I’m more of an expert in microarchitecral attacks, and our co-collaborators at UC Davis, led by Dr. Homayoun, brings expertise of cloud computing and resource scheduling,” says Khasawneh.

Khasawneh’s Paper Selected as a Top Pick in Architecture and Hardware Security 2021

A paper co-authored by Khasawneh was selected as a Top Pick in Architecture and Hardware Security 2021.

The top picks in architecture and embedded security represent the top and most impactful papers that have been published in the area in the last six years, from 2015 to 2020. Top picks are selected from conference papers that have appeared in leading hardware security conferences including but not limited to DAC, ICCAD, DATE, ASPDAC, HOST, Asian HOST, GLSVLSI, VLSI Design, CHES, ETS, VTS, ITC, S&P, Usenix Security, CCS, NDSS, ISCA, MICRO, ASPLOS, HPCA, HASP, ACSAC, Euro S&P, and Asia CCS.

The top pick paper is titled “Spectre Returns! Speculation Attacks using the Return Stack Buffer ” and had previously won the best paper award in the USENIX Workshop on Offensive Technologies (WOOT) in 2018. This paper discovers a new class of Spectre attack, called SpectreRSB, that exploits the return stack buffer (RSB), which is used in modern CPUs to help predict return addresses, instead of the branch predictor unit. SpectreRSB allows malicious software to steal passwords, keys, and other sensitive information, from memory it shouldn't be allowed to touch.

According to Khasawneh, Linux kernel released a patch to protect against SpectreRSB vulnerability (CVE-2018-15572).

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Weiwen Jiang wins IEEE Best Paper Award

Tama Moni — Mon, 13 Dec 2021 19:38:48 +0000

Weiwen Jiang wins IEEE Best Paper Award Tama Moni Mon, 12/13/2021 - 14:38

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Weiwen Jiang

A paper from, Weiwen Jiang, assistant professor of electrical and computer engineering at George Mason �鶹��, has been selected by the IEEE Transactions on Computer-Aided Design for the 2021 Donald O. Pederson Best Paper Award.

The paper, “Hardware/Software Co-Exploration of Neural Architectures,” proposes a novel hardware and software framework for efficient neural architecture search (NAS), a technique to automate machine learning systems.

The IEEE TCAD Editorial Board and the IEEE Council on Electronic Design Automation selected the paper as one of two 2021 winners from over 800 papers published by the journal in the last two years, based on the overall quality, originality, level of contribution, subject matter, and timeliness of the research. The award was presented at the Design Automation Conference in December 2021.

“The awarded work is the first work that demonstrates that the best tradeoff between neural network performance and hardware efficiency requires the co-exploration of hardware design and neural network architecture. It provides fundaments of a series of my co-design neural network system works, among which several works have been nominated for best paper at top EDA conferences (e.g., DAC, CODES+ISSS, and ASP-DAC),” says Jiang.

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Announcing the recipients of the 2025 Presidential Awards for Faculty Excellence

Faculty Excellence in Teaching Award Recipient

Bethany Cieslowski

John Toups Presidential Medal for Excellence in Teaching Recipient

Angela Miller

Faculty Excellence in Research Award Recipient

Weiwen Jiang

Faculty Excellence in Research Award Recipient

Xuesu Xiao

Faculty Excellence in Research Award Recipient

Aarthi Narayanan

The Beck Family Presidential Medal for Faculty Excellence in Research Recipient

Allison Redlich

Faculty Excellence in Diversity and Inclusion Award Recipient

Daphne King

Faculty Excellence in Diversity and Inclusion Award Recipient

Janani Umamaheswar

United Bank Presidential Medal for Faculty Excellence in Diversity and Inclusion Recipient

Jacqueline McDowell

Faculty Excellence in Social Impact Award Recipient

Margarita Tadevosyan

Faculty Excellence in Social Impact Award Recipient

Susan Howard

Earle C. Williams Presidential Medal for Faculty Excellence in Social Impact

Rebecca Goldin

About the Presidential Awards for Faculty Excellence

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