computer science

AI hacking

patent

Microgrids meet the market

Nathan Kahl — Fri, 02 Oct 2026 12:47:36 +0000

Microgrids meet the market Nathan Kahl Fri, 10/02/2026 - 08:47

For a large organization, cutting the electric bill isn't necessarily as simple as using less electricity. In fact, avoiding one brief spike in demand can save far more money than reducing overall consumption.

Alex Brodsky, a professor in the Department of Computer Science. Photo provided

Alex Brodsky, a professor in the 911�� Department of Computer Science, and his research team developed technology that can help organizations make complex decisions about how to manage energy resources and evaluate potential investments.

A $50,000 National Science Foundation (NSF) grant through its Innovation Corps (I-Corps) program is helping Brodsky explore how to move that technology from research to market. I-Corps teaches researchers to evaluate the commercial potential of technologies developed through academic research. Participants identify possible markets and customers and conduct at least 100 interviews with those potential customers.

“The interviews are instrumental,” Brodsky said. “Some of your hypotheses turn out to be false, while other things you hadn't considered turn out to be true.”

Much of this I-Corps work is being led by Xu (Ethan) Han, a former PhD student of Brodsky's who is now a faculty member in 911��'s Department of Computer Science. Han serves as an entrepreneurial lead for the project, called Microgrid Optima.

Microgrids coordinate multiple energy resources within a local energy system. They can integrate electricity from the power grid with on-site generation, energy storage, building systems, and other energy resources.

Microgrid Optima helps determine how those resources should work together. Instead of relying primarily on preset operating schedules, the system can recommend what individual components should do at intervals throughout the day. It can also help organizations decide which new energy resources make financial sense before making potentially expensive investments. Many commercial and industrial customers’ electric bills are determined not by just how much electricity they use, but also by what their peak demand is; a short period of unusually high demand can significantly affect future bills.

An organization might thus choose to use a battery during a demand spike and recharge it later. “Energy storage by itself doesn't save the total amount of energy you use,” Brodsky said, but this strategy may reduce peak usage enough to produce substantial savings. As a result, investing in an expensive battery can sometimes quickly pay for itself.

The challenge is figuring out when such an investment makes sense and how it interacts with everything else in the system. “Thinking of how you invest in each component in isolation is a bad approach, because the components have a very strong operational interaction,” he said.

The team is exploring a range of potential markets for the technology, with the I-Corps interviews helping identify which types of organizations and energy environments present the strongest opportunities. One seemingly obvious market, data centers, is less promising because their operators place a much higher priority on securing enough electrical capacity than on reducing costs.

Microgrid Optima draws on decision-guidance technology Brodsky's research group developed over many years and applied to problems ranging from energy and autonomous vehicles to pandemic response. During the COVID pandemic, Brodsky worked with 911�� epidemiologist Amira Roess in the College of Public Health to develop a system for evaluating combinations of testing, contact tracing, symptom reporting, and other mitigation measures. The university adopted many of the team's recommendations.

The I-Corps program could be an early step toward bringing the latest application of that technology to customers. After the team's interviews help identify its most promising market, Brodsky said, other federal programs, including Small Business Innovation Research and Small Business Technology Transfer funding, could provide routes toward commercialization.

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Alex Brodsky

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National Science Foundation

I-Corps

Energy

Tech Transfer

Parking and Transportation

Patriot parking predictions putting students in the proper spot

Nathan Kahl — Wed, 23 Sep 2026 22:30:56 +0000

Patriot parking predictions putting students in the proper spot Nathan Kahl Wed, 09/23/2026 - 18:30

College students are already under a load of stress with classes, tests, and presentations. So when something as “easy” as finding a parking spot is anything but, it can cause a bad start to an already challenging day.

With that in mind, a team of 911�� students developed an app that uses data and artificial intelligence (AI) to remove the guesswork and save students from those interminable trips to the top of a parking garage, only to find it’s completely full.

Parkeye predicts parking availability, helps users find lots that match their permits, and provides information about parking changes and closures. The app was created by computer science students Tona Otoro and Sami Saleh, with support from computer science students Shabeer Manalai, Trong-Tin Mai, and Rafsan Islam, and Aayusha Sapkota from the Costello College of Business.

The idea grew out of a familiar student experience: arriving on campus without knowing where to park. “Everyone's kind of having this similar problem,” Manalai said. The team did market research by surveying students around campus and found that many students struggled with everything from finding open spaces to understanding parking regulations.

The team then approached 911��'s Parking and Transportation office, which provided five years of parking data that became a foundation for the app.

“We frequently partner with students on class projects and what made the Parkeye team unique was that they pursued this project independently, outside of a formal class or research program,” said Josh Cantor, director of Parking and Transportation. “We applaud the students' initiative and innovative approach; their crowdsourcing model reflects the kind of creative thinking that can contribute to future parking technology solutions. We are evaluating a variety of approaches, including crowdsourcing, camera-based technologies, and space sensors to help improve the parking experience for our campus community."

The app considers about two dozen factors when predicting parking availability, including historical data, class schedules, weather, the distance between lots and buildings, and the number of classes taking place during particular time periods. As more people use the app, the team can incorporate additional data and retrain its models.

Saleh said the initial model achieved approximately 91% accuracy against the parking data provided by the university. The developers also have testers visit parking areas to compare actual availability with the app's predictions, using those results to continue refining the model.

And the app does more than predict whether a lot is crowded. Users can filter parking by space type, including electric vehicle charging spaces, and receive updates about lot closures and other changes that could affect parking.

Users appear interested. The app launched September 2 and has around 600 users as of this writing. Much of that early growth came through social media, including an Instagram video with more than 30,000 views.

The team is already looking beyond Fairfax. The app includes parking information for James Madison University and Virginia Tech, and the students are reaching out to other universities about potential partnerships.

They are also beginning to think like entrepreneurs. The students registered an LLC and are working toward becoming a Virginia vendor, which could eventually allow them to establish a formal partnership with 911��. They have also met with leadership of 911��'s MIX Incubator about joining its entrepreneurship program.

“Meeting Sami and Tona underscored the energy and determination they bring to their parking‑prediction app,” said Gisele Stolz, senior director, entrepreneurship programs. “We are thrilled to support students with this level of motivation and vision, and we hope their journey mirrors the successes achieved by other standout MIX teams.”

Stolz explained that through the MIX Innovators Launchpad, students receive mentoring, structured entrepreneurial guidance, some funding to support early discovery work, and the opportunity to compete for prize money as they advance their ideas. Paired with the NSF I‑Corps short course, the program teaches teams how to translate technical insights into market‑ready solutions with the help of seasoned mentors.

Eventually, Saleh sees applications well beyond college campuses, including hospitals, malls, stadiums and other places where drivers face the same basic question. “It's not just being able to see where parking is, it's being able to see the right parking spot for each user.”

Topics

Apps

student businesses

entrepreneurship

Human Computer Interaction

Why did the AI agent cross the road?

tdonnel — Mon, 08 Jun 2026 18:31:17 +0000

Why did the AI agent cross the road? tdonnel Mon, 06/08/2026 - 14:31

Workshopping, an iterative process where creators share ideas, test what works, and refine what doesn’t through collective feedback, is at the heart of any writers’ group. This collaborative dynamic inspired 911�� PhD students Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.

Hong developed a novel multi-agent system that simulates a collaborative comedy writing environment in which AI agents generate, critique, and refine humorous content together. Her research, recently accepted to the prestigious 64th Annual Meeting of the Association for Computational Linguistics, investigates how structured interaction among AI agents can improve creative output.

Shiwei Hong. Photo provided.

Humor remains challenging for artificial intelligence. “Generating a joke or something that is very funny is actually a very tricky question, because it requires a lot of how humans interpret the generated piece,” said Hong, who is working on a degree in computer science.

She created a “sandbox” environment to mirror real-world creative collaboration, populated by 35 AI agents assigned distinct roles and personalities powered by GPT-4.

“Five agents acted as performers. The rest acted as critics or audience members,” said Hong.

Designing 35 unique agent personas required imagination as well as technical expertise. Drawing on her interest in writing fiction, Hong created characters with varied social and cultural backgrounds, adding depth to the simulated interactions.

In one experimental environment, the performer agents generated two scripts in sequence without feedback; in another, they engaged the audience members in critique and discussion between the rounds of generation. The difference was significant.

Human evaluators compared outputs across multiple criteria, such as humor, coherence, and social tone. In more than 70 percent of cases, evaluators preferred scripts produced in the second round of the discussion-based environment.

The improvement appears to stem from collective learning. As agents interact, they build on shared insights, identifying patterns in audience preferences and refining their outputs accordingly. Technically, this process is supported by a shared conversational memory stored in a vector database, allowing agents to retrieve relevant past exchanges and incorporate them into new content. The result is an iterative, emergent form of creativity that begins to resemble human collaboration.

Looking ahead, Hong and her advisor, Assistant Professor Zhicong Lu, aim to expand the system by incorporating human participants and richer modes of interaction. Future directions include integrating voice, gestures, and immersive technologies such as virtual and augmented reality to better capture the nuances of live performance.

“In real comedy, we have faces, gestures, and real voices,” she said. “We hope to bring more of that into the system.”

By demonstrating that workshopping can significantly enhance machine-generated humor, Hong’s work suggests the future of artificial intelligence may lie not only in more advanced individual models, but also in communities of agents learning, creating, and perhaps even laughing together.

Overview of Multi-Agent Comedy Club. Credit: arXiv (2026). DOI: 10.48550/arxiv.2602.14770

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911�� PhD student recognized for blockchain privacy research

Nathan Kahl — Tue, 02 Jun 2026 10:51:19 +0000

911�� PhD student recognized for blockchain privacy research Nathan Kahl Tue, 06/02/2026 - 06:51

911�� computer science doctoral student Aayush Yadav co-authored a paper that received a Distinguished Paper Award from the IEEE Symposium on Security and Privacy, one of the industry’s premier conferences in the security field. The conference typically accepts around 13 percent of submissions.

Aayush Yadav. Photo provided

The paper addresses a growing challenge in blockchain technology—how to protect sensitive transaction information before it becomes public, focusing on improving privacy protections within blockchain systems while maintaining the transparency and decentralized structure that define the technology.

His research grew out of an internship last summer with Category Labs, a company developing blockchain tools and infrastructure. The work addresses a vulnerability tied to how blockchain transactions are processed before they are officially added to the chain. Traditionally, blockchain transactions are publicly visible before they are finalized. That visibility allows entities responsible for processing transactions to potentially manipulate their order for financial gain.

“These entities can act maliciously in some way,” Yadav said. “Because this information is public, these actors know the direction of the order of the transactions before the rest of the public. And they can take advantage of that.” Consider that if an actor sees that someone is about to make a major purchase or sale, they can quickly place their own trade first, causing the market price to change. The original user then receives a worse price than expected, while the actor profits from the price movement, effectively creating a hidden cost for the user.

The team’s research focuses on encrypting transactions while they are waiting to be processed, helping prevent that kind of exploitation. The goal is to encrypt or hide transactions as they are sent, revealing them later.

The paper introduces new approaches to what researchers call “mempool privacy,” referring to the protection of transaction data before it becomes part of the public blockchain ledger. The work also explores “threshold encryption,” which requires multiple parties to work together to decrypt transaction data, helping eliminate single points of trust or failure.

Yadav, who is completing his PhD in computer science this year, said his interest in theoretical computer science and algorithms started early in his academic career. “I enjoyed the process of solving problems that were algorithmic in nature,” he said. “Thinking about these abstract things, but then also being able to solve them concretely using an algorithm, is very satisfying.”

He chose 911�� in part because of the university’s large computer science faculty and breadth of expertise. After arriving at 911�� in 2021, Yadav took his first cryptography course with Foteini Baldimtsi, an experience that shaped the direction of his research. “It had the right mix of theory and practice. The problems are very theoretical in some sense, and the way you solve them is theoretical, but at the same time they are grounded in real applications.”

“I am very proud of Aayush,” said Baldimtsi. “Throughout his PhD, he has worked on some of the most important challenges in modern cryptography, including signature protocols and privacy-preserving authentication for digital identities, while also focusing on post-quantum security. The award is a well-deserved recognition of his talent, dedication, and impact on the field.”

Later this year he will start a tenured-track faculty position at his alma mater, Rutgers University–Camden.

In This Story

Foteini Baldimtsi

More from the College of Engineering and Computing

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robotics and autonomous systems

911�� students fly into first place with no GPS, no grade, and (almost) no problems

tdonnel — Mon, 04 May 2026 18:53:10 +0000

911�� students fly into first place with no GPS, no grade, and (almost) no problems tdonnel Mon, 05/04/2026 - 14:53

Driven by passion, persistence, and what they call “the love of the game,” a group of 911�� students affiliated with the Mason Autonomy and Robotics Center (MARC) claimed first place at the 2026 Raytheon Autonomous Vehicle Competition at EagleBank Arena on April 24, 2026.

Meah Chambers and Gagan Manjunatha at the competition. Photo by Andani Munkaila/Office of University Branding

The competition challenged student teams to design and deploy autonomous aerial and ground vehicle systems capable of executing a series of increasingly complex missions. Unlike prior outdoor iterations, the 2026 competition eliminated access to GPS, forcing teams to rely on advanced onboard sensing and visual navigation techniques to orient themselves in space. EagleBank Arena has been hosting national robotics competitions since 2023 with support from an Office of Naval Research grant to transform the venue into a robotics experimentation and sporting venue.

911��’s autonomous robotics team rose to the challenge. Over the course of the competition, their system successfully completed all three mission objectives, earning the top overall score and securing first place. The win capped months of late nights and creative problem-solving by a team that was not competing for a grade, credit, or formal requirement, but purely out of enthusiasm for robotics.

“This isn’t even an official club yet,” said computer science major Gagan Manjunatha. “We’re here for the love of the game.”

For many teams at the competition, participation counts as a senior design project. 911��’s team, however, had no such structure. “A lot of teams do use this as their senior design project, but the nice thing about us not doing it is that we have people that can come back year after year,” said team lead Meah Chambers, a junior majoring in electrical engineering.

Photo by Ron Aira/Office of University Branding

“I like the hands-on experience,” she said. This was Chambers’ third robotics team competition, each of which she found rewarding. “It’s like I’ve done three mini senior designs. I like the design team experience, working on a team for an end goal.”

The technical demands of the competition were steep. Challenge one required a drone to autonomously take off from a moving ground vehicle and land back on it. The second challenge layered on autonomous search and detection, requiring the drone to identify a visual tag, communicate its location, and guide the ground vehicle to the target. A third challenge added obstacle detection and avoidance for both aerial and ground systems.

To meet those demands, the team divided into drone and ground sub‑teams, with students specializing in software, hardware, mechanical design, and systems integration. Majors across electrical engineering, computer engineering, mechanical engineering, and computer science were represented. Visual‑inertial simultaneous localization and mapping (VSLAM) replaced GPS, allowing the drone to understand its position using cameras and onboard sensors.

“We were given the challenges in September and two semesters to plan and work on our system,” said electrical engineering major Emma Misevschi. Without senior design funding or course integration, students volunteered their time over the academic year to design, build, test, and refine their system. “Everything just happened to come together this week,” she said.

Some members of 911��'s 2026 Raytheon Autonomous Vehicle Competition team. Photo by Andani Munkaila/Creative Services/911��.

Funding constraints added another layer of difficulty. While funding for system components were provided by competition sponsor Raytheon, the money arrived late in the academic year, forcing the team to borrow equipment, lean on shared research lab resources, and compress months of testing into intense overnight sessions.

Despite many team members having stayed up testing into the wee hours of the night before the competition, spirits were high at the end of the first day of the two-day competition. Chambers joked, “Two hours is like a nice nap instead of sleeping for the night.”

Computer engineering major and ground team lead Logan Teyema added the (understandably tired) motto of hustle culture, “Water is life, food is fuel, and sleep is a crutch.”

In the end, their teamwork paid off. When the judges arrived, 911��’s system performed cleanly and consistently, earning top marks across the challenges and finishing first overall.

The full team includes Luis Anchundia, James Daniel, Konraad Ludwig, Hassan Youssef, Emma Misevschi, Thomas Fletcher, Christopher Romero-Klevisha, Toan Do, Meah Chambers, Gagan Manjunatha, Connor Roberts, William Maynard, Logan Teyema, Ellie Kwon, Rico Rodriguez, Nick Kasa, and Yousif Alani. Faculty advisors include Cameron Nowzari, Xuesu Xiao, and Ningshi Yao.

Are you interested in joining the team? Learn more on the team’s website and watch a video about their experiences.

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Cameron Nowzari

Ningshi Yao

Xuesu Xiao

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competitions

Electrical Engineering

Computer Engineering

Mason Autonomy and Robotics Center

robotics

NVIDIA-powered partnership accelerates AI at 911��

Nathan Kahl — Mon, 06 Apr 2026 12:55:13 +0000

NVIDIA-powered partnership accelerates AI at 911�� Nathan Kahl Mon, 04/06/2026 - 08:55

Keren Zhou’s relationship with NVIDIA spans more than a decade, evolving alongside the rapid rise of artificial intelligence (AI) itself. What began as an early academic collaboration has become a sustained partnership centered on advancing the performance and efficiency of AI systems—work that now directly supports research and students at 911��.

Keren Zhou. Photo provided

Zhou, an assistant professor in the Department of Computer Science, traces his connection to NVIDIA back to his graduate studies. “I started collaboration officially with Nvidia about 12 years ago,” he said, describing a period when AI was in its infancy. “The only thing it could do is be used for image recognition…Is it a cat? A dog? That’s it.”

At the time, Zhou's focus was not on AI applications themselves, but on the systems that make them possible. “I was never a native AI guy. What I was really thinking is, how do we make this system more efficient.”

That focus aligned naturally with NVIDIA’s strengths. Known for designing specialized chips that power modern AI, the company plays a central role in enabling the field’s rapid growth. Zhou, emphasizing that connection, said, “The theories behind AI was proposed many, many years ago, but it only works because of NVIDIA’s powerful chips, designed specifically and tailored for AI workloads.”

Over the years, Zhou’s collaboration with NVIDIA expanded, covering time across multiple institutions, including two separate internships he had with the company. Along the way, NVIDIA provided access to computing resources that supported his research into optimizing performance for scientific computing and AI workloads.

That relationship continues today at 911��. Zhou recently received access to NVIDIA’s powerful DGX B200, a unified AI platform equipped with eight advanced graphics processing units (GPUs), which he uses to push forward his research. “We want to use it to train large models that can automatically generate efficient code,” he said. “Not only use like useful code, but also efficient code for AI systems.” The machine enables students to experiment with large-scale models and cutting-edge infrastructure that would otherwise be difficult to access.

Zhou’s work is consistently working toward improving the underlying systems that make AI possible. Even as his research incorporates AI more directly, that systems-oriented perspective remains central. “Even like until two years ago, what I was thinking about is just how to make AI run faster and more efficient and more robust.”

Now, with NVIDIA’s latest technology in place at Mason, that work continues with growing reach.

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Computer Science faculty

C-TASC

partnerships

Navy veteran charts a new course with 911�� robotics

tdonnel — Mon, 09 Mar 2026 15:28:39 +0000

Navy veteran charts a new course with 911�� robotics tdonnel Mon, 03/09/2026 - 11:28

In This Story

Xuesu Xiao

As a scientist for the federal government, Naval Reservist David Eichinger’s path to a master’s degree in computer science at 911�� was less than traditional. A microbiology major turned technologist, Eichinger is now a graduate researcher in robotics. He represents the motivated, resilient students 911�� empowers, balancing academics with the demands of life beyond the classroom.

After noticing patterns in his work, Eichinger realized he needed computational tools to solve complex problems. Over the course of nine years—first in a post‑baccalaureate certificate, now in the master’s program—Eichinger built the foundation he needed.

David Eichinger. Photo provided.

“I chose the computer science program because I was interested in learning computer vision, machine learning, deep learning, and robotics to understand pattern recognition in data,” he said.

When he began exploring graduate programs, he sought proximity to his job and support for veterans in addition to an excellent program. That support system at 911�� has been critical as he balances graduate studies with military life, work, and family. It’s also one reason he believes 911�� is such a strong fit for veterans and nontraditional students like himself.

“911��’s [Computer Science Program] was just very flexible as far as the time of day they offer their classes,” he said, adding that classes can be either online or in person. Even more important to him was faculty access.

Today, Eichinger works in Xuesu Xiao’s robotics lab in Fuse at Mason Square, working on off-road mobility and social navigation robotics. The lab is lively, collaborative, and hands‑on. “It’s like a little makerspace to geek out on with different toys,” he said. “It is a joy to play with these robots and try to program them to move on their own.”

As a nontraditional student, Eichinger appreciates that 911�� creates space for varied pathways and goals. For veterans, career changers, and those returning to school later in life, his path demonstrates how 911��’s computer science master’s program meets students where they are and takes them where they hope to go.

“It is not a walk in the park,” he said, “but it is worth doing if you believe in it."

Topics

Tech Talent Investment Program (TTIP)

Students use AI to solve everyday challenges at recent Fail-a-Thon

sbrown79 — Mon, 12 Jan 2026 17:35:24 +0000

Students use AI to solve everyday challenges at recent Fail-a-Thon  sbrown79 Mon, 01/12/2026 - 12:35

911�� is preparing students to transform setbacks into stepping stones with a “Fail-a-Thon," a hackathon event where failing forward is the goal.

The event, hosted by the College of Engineering and Computing, encouraged students to explore bold ideas under two themes: artificial intelligence (AI) for everyday challenges and tech for well-being and creativity.

Junior computer science major Oluwatomisin Badmus and his partner, junior applied computer science major Chesney Noye, working under the team name “AfroHacks,” took first place. 

Chesney Noye (center) and Oluwatomisin Badmus presenting at the Fail-a-thon. Photo provided.

Badmus and Noye are international students and wanted to emphasize the importance of checking in with one another within their community. The duo used an AI coding tool to build an application that allows users to log their current mood over the course of the day, and the system then uses the logged mood when responding to questions.

“You might describe it as a mood-aware AI chatbot,” explained Badmus.

They were able to complete a working version of the application to present to the judges. The team 808s won 2nd place and the Three Musketeers won 3rd. 

“I'm very passionate about AI, so I make sure to take advantage of every educational opportunity regarding AI. I hope to apply that knowledge in my work to make an impact both in and out of school,” said Badmus, an Honors College student. 

Badmus said he has participated in other 911�� hackathons and competitions at other institutions such as Morgan State, John Hopkins University, and online. Badmus encouraged Noye to participate in the event with him in hopes that he would also find the experience rewarding. 

“I’ve always wanted to participate in a hackathon, so when I saw the flyer for the Fail-a-thon, I knew it would be a great opportunity to gain experience in a relatively low-stakes environment,” said Noye, who has a concentration in software engineering.

Noye said hackathons always seemed too intimidating, but he was encouraged by the fail-a-thon's easygoing approach.

“Having an event centered around failing gave people room to go out there with their ideas, and getting to see all the projects everyone else came up with was great,” he said.

“Getting to share stories with the other participants there on where our projects failed, what weird bugs we had, and how different our initial ideas and final products ended up was a great bonding moment and really helped normalize the idea that failing is okay,” said Noye.

The students had two hours to build real-world practical projects using provided AI tools. Many of the project features were built and working, and judges and attendees could see them live during the presentations. 

Humaira Akhtari (left) with Christi Cartwright Wilcox, director, Office of Outreach Student Success and Engagement. Photo provided.

“Watching students turn ideas into functional solutions in just two hours was genuinely exciting and inspiring,” said Humaira Akhtari, a term instructor in the Department of Information Science and Technology and one of three faculty judges at the event.

Other judges included professors Socrates Dimitriadis and Maha Shamseddine from the Department of Computer Science.

“I kept telling the teams, ‘I would be the first person to use your app’ because their ideas were genuinely useful. Seeing students build practical solutions, collaborate across disciplines, and confidently present their work made the experience incredibly rewarding,” said Akhtari. “It brings me so much joy seeing my students grow beyond the classroom. Whether it’s capstone presentations, Fail-a-Thon, or Engineering Week, I love seeing how my students are thriving.” 

Students from electrical engineering, mechanical engineering, computer science, IST, and cyber security engineering participated. The mix of backgrounds really elevated the ideas and discussions, said Akhtari. 

When evaluating projects, judges looked at creativity, risk-taking, learning through failure, and how well teams communicated their ideas.  

“Rather than penalizing mistakes, we looked for evidence of iteration, reflection, and growth. The goal was to celebrate experimentation and meaningful learning,” said Akhtari. 

“Events like Fail-a-Thon create a safe space where students learn that failure is not something to avoid—it’s part of the process. This mindset is essential not only in academics, but also in entrepreneurship and real-world problem solving,” said Akhtari.

One team built a study management tool where students could upload their course syllabus, and the app would automatically generate a personalized study plan based on upcoming assignments and deadlines.

Another team designed a nutrition app that helps users track dietary preferences like Halal, vegan, and other restrictions.  

There were also projects focused on productivity, motivation, and wellness—apps that help users stay on track with their schedules, motivate them to stay consistent at the gym, or even guide users while grocery shopping based on their calorie goals.  

Topics

competitions

Hackathon

Applied computer science

Honors College