artificial intelligence

OMSCS Team Takes Entrepreneurial Tack to Win $10,000 in Microsoft Azure Challenge

dgivens8 — Tue, 29 Jul 2025 12:57:41 +0000

OMSCS Team Takes Entrepreneurial Tack to Win $10,000 in Microsoft Azure Challenge dgivens8 Tue, 07/29/2025 - 08:57

A team of Georgia Tech graduate students is using artificial intelligence (AI) to help people with disabilities find their dream jobs.

Searching for the right job is stressful for most, but it can be overwhelming for people with disabilities. However, using an innovative approach, the student entrepreneurs created a customizable AI-powered "job coach" that connects people with accessible employment opportunities.

OMSCS students George Gomez, Ariel Magyar, Zachary Patrignani, and Maheer Sayeed created Interstellar Jobs as their entry for the March 2025 Microsoft Azure Innovation Challenge. The team beat over 70 international entries to secure first place and $10,000.

Interstellar Jobs uses information about job seekers' disabilities, job preferences, and other personal details to provide detailed coaching tips for specific jobs. The tips let job seekers know if they're a good fit for the position, what challenges they can expect, and what they can do to manage these challenges successfully.

The challenge, co-sponsored by TechBridge, required teams to create a functional proof of concept within a tight timeframe using AI, analytics, networking, and other Microsoft Azure Web Services.

Selecting which services to use was the starting point for most teams. In fact, Sayeed says most of the competition tried to use as many Azure services as possible for their projects.

"We didn't do that. We kept it simple," said Sayeed.

"Our mindset going into the challenge was that we'd find the problem first, and then we would look at the services we would use."

Their entrepreneurial approach led the team to develop Interstellar Jobs using just three Azure services. As an example of their approach, the team faced the challenge of addressing specific disabilities in relation to thousands of job listings.

Developers usually depend on drop-down menus when presenting an extensive list of options. However, this method might not cover all disabilities or could use outdated or overly broad language. It also wouldn't account for people with multiple or nuanced disabilities that don't fit neatly into a single category.

The Interstellar Jobs team opted for a blank field for users to list their disabilities.

"We kept it very open-ended for our users," said Sayeed.

The team used OpenAI Service to 'clean' entries on the backend, regardless of what users wrote in the blank field. This method ensures that users can always get a structured and actionable response from Interstellar Jobs.

"As a user, not having to pick from a drop-down menu just feels good," said Matt Calder, senior product marketing manager at Microsoft.

Calder hosts Microsoft DevRadio and recently interviewed the Interstellar Jobs team. "I like how your approach changes how people interact with the whole system. If you make something really usable, it's going to be accessible as well," said Calder.

Despite its success, the team has no immediate plans to expand Interstellar Jobs. Each member balances a full-time job and their studies in Georgia Tech's Online Master of Science in Computer Science (OMSCS) program.

"We gained so much about cloud development and Azure Web Services from the experience," said Sayeed. "We also learned the value of AI in these applications."

Subtitle

Summary sentence

A student team has "learned the value of AI" by creating a job coaching app for people with disabilities.

Summary

A team of OMSCS students took an entrepreneurial approach to develop an AI-powered app that coaches people with disabilities during their job search. The app, Interstellar Jobs, earned the team first place and $10,000 in a recent Microsoft Azure Web Services challenge.

Dateline

Fri, 06/27/2025 - 12:00

Contact

Ben Snedeker, Communications Manager II

Georgia Tech College of Computing

Associated importer

Keywords

Daily Digest

Georgia Tech News Center

artificial intelligence

artificial intelligence (AI)

Categories

Artificial Intelligence

Student Competition WInners (academic, innovation, and research)

Mercury ID

682917

Source updated

Fri, 06/27/2025 - 09:21

Georgia Tech to Build $20M National AI Supercomputer

admin — Wed, 16 Jul 2025 18:58:41 +0000

Georgia Tech to Build $20M National AI Supercomputer admin Wed, 07/16/2025 - 14:58

The National Science Foundation (NSF) has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence (AI) to accelerate scientific breakthroughs.

Called Nexus, the system will be one of the most advanced AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations.

“Georgia Tech is proud to be one of the nation’s leading sources of the AI talent and technologies that are powering a revolution in our economy,” said Ángel Cabrera, president of Georgia Tech. “It’s fitting we’ve been selected to host this new supercomputer, which will support a new wave of AI-centered innovation across the nation. We’re grateful to the NSF, and we are excited to get to work.”

Designed from the ground up for AI, Nexus will give researchers across the country access to advanced computing tools through a simple, user-friendly interface. It will support work in many fields, including climate science, health, aerospace, and robotics.

“The Nexus system's novel approach combining support for persistent scientific services with more traditional high-performance computing will enable new science and AI workflows that will accelerate the time to scientific discovery,” said Katie Antypas, National Science Foundation director of the Office of Advanced Cyberinfrastructure. “We look forward to adding Nexus to NSF's portfolio of advanced computing capabilities for the research community.”

Nexus Supercomputer — In Simple Terms

Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases, to understanding how the brain works, to engineering quantum materials.

Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second.

Massive brain plus memory: Nexus combines the power of AI and high-performance computing with 330 trillion bytes of memory to handle complex problems and giant datasets.

Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the moon and a third of the way back.

Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting.

Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus.

Why Now?

AI is rapidly changing how science is investigated. Researchers use AI to analyze massive datasets, model complex systems, and test ideas faster than ever before. But these tools require powerful computing resources that — until now — have been inaccessible to many institutions.

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs.

“This supercomputer will help level the playing field,” said Suresh Marru, principal investigator of the Nexus project and director of Georgia Tech’s new Center for AI in Science and Engineering (ARTISAN). “It’s designed to make powerful AI tools easier to use and available to more researchers in more places.”

Srinivas Aluru, Regents’ Professor and senior associate dean in the College of Computing, said, “With Nexus, Georgia Tech joins the league of academic supercomputing centers. This is the culmination of years of planning, including building the state-of-the-art CODA data center and Nexus’ precursor supercomputer project, HIVE."

Like Nexus, HIVE was supported by NSF funding. Both Nexus and HIVE are supported by a partnership between Georgia Tech’s research and information technology units.

A National Collaboration

Georgia Tech is building Nexus in partnership with the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, which runs several of the country’s top academic supercomputers. The two institutions will link their systems through a new high-speed network, creating a national research infrastructure.

“Nexus is more than a supercomputer — it’s a symbol of what’s possible when leading institutions work together to advance science,” said Charles Isbell, chancellor of the University of Illinois and former dean of Georgia Tech’s College of Computing. “I'm proud that my two academic homes have partnered on this project that will move science, and society, forward.”

What’s Next

Georgia Tech will begin building Nexus this year, with its expected completion in spring 2026. Once Nexus is finished, researchers can apply for access through an NSF review process. Georgia Tech will manage the system, provide support, and reserve up to 10% of its capacity for its own campus research.

“This is a big step for Georgia Tech and for the scientific community,” said Vivek Sarkar, the John P. Imlay Dean of Computing. “Nexus will help researchers make faster progress on today’s toughest problems — and open the door to discoveries we haven’t even imagined yet.”

Subtitle

Summary sentence

Summary

The National Science Foundation has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence to accelerate scientific breakthroughs. Called Nexus, the system will be one of the most advanced, AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations.

Dateline

Tue, 07/15/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

Associated importer

Keywords

National Science Foundation

NSF

Georgia Tech

supercomputer

Nexus

artificial intelligence

scientific breakthroughs

hpc

clean energy

brain research

medicine development

manufacturing innovation

AI infrastructure

scientific discovery

persistent scientific services

quantum materials

climate science

health research

aerospace

robotics

flash storage

data transfer

U.S. researchers

AI workflows

ARTISAN

Coda Data Center

HIVE supercomputer

NCSA

University of Illinois

national collaboration

tech partnerships

research support

AI talent

scientific community

research access

AI tools

AI-centered innovation

go-researchnews

go-ai

News room topics

Campus and Community

Science and Technology

Categories

Artificial Intelligence

Computer Science/Information Technology and Security

Institute and Campus

Research

Mercury ID

683161

Source updated

Wed, 07/16/2025 - 14:56

Georgia Tech to Build $20M National AI Supercomputer

admin — Tue, 15 Jul 2025 14:11:41 +0000

Georgia Tech to Build $20M National AI Supercomputer admin Tue, 07/15/2025 - 10:11

Nexus Supercomputer — In Simple Terms

Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases, to understanding how the brain works, to engineering quantum materials.

Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second.

Massive brain plus memory: Nexus combines the power of AI and high-performance computing with 330 trillion bytes of memory to handle complex problems and giant datasets.

Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the moon and a third of the way back.

Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting.

Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus.

Why Now?

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs.

Like Nexus, HIVE was supported by NSF funding. Both Nexus and HIVE are supported by a partnership between Georgia Tech’s research and information technology units.

A National Collaboration

What’s Next

Summary sentence

Summary

Dateline

Tue, 07/15/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

Associated importer

Keywords

National Science Foundation

NSF

Georgia Tech

supercomputer

Nexus

artificial intelligence

scientific breakthroughs

hpc

clean energy

brain research

medicine development

manufacturing innovation

AI infrastructure

scientific discovery

persistent scientific services

quantum materials

climate science

health research

aerospace

robotics

flash storage

data transfer

U.S. researchers

AI workflows

ARTISAN

Coda Data Center

HIVE supercomputer

NCSA

University of Illinois

national collaboration

tech partnerships

research support

AI talent

scientific community

research access

AI tools

AI-centered innovation

go-researchnews

go-ai

News room topics

Campus and Community

Science and Technology

Mercury ID

683137

Source updated

Tue, 07/15/2025 - 10:10

Shriners Children’s to Establish Research Institute at Science Square

admin — Thu, 03 Jul 2025 12:58:49 +0000

Shriners Children’s to Establish Research Institute at Science Square admin Thu, 07/03/2025 - 08:58

Gov. Brian P. Kemp has announced a new world-renowned tenant for Science Square, signaling Georgia Tech's role in Atlanta and Georgia's expanding life sciences sector. According to the governor’s office, Shriners Children’s will establish a new pediatric medical research facility at Science Square, investing more than $153 million into the facility and creating 470 new jobs. The move by this nonprofit healthcare system, which has locations across North America and a global reach, shows the continued momentum in the region for this important area of research and development.

The Shriners Children’s Research Institute will be in Science Square Labs, positioned across from Georgia Tech’s North Avenue Research Area. The institute will serve as a multidisciplinary innovation hub focused on advancing healthcare for children. Areas of research will include cell and gene therapies, robotics, artificial intelligence, medical devices, biologics, and data informatics.

"Georgia Tech is excited to welcome Shriners Children’s to Science Square,” said Georgia Tech President Ángel Cabrera. “We developed Science Square to create a leading hub for life sciences research and innovation, and Shriners’ decision to be here will accelerate our progress to drive medical innovation, create high-impact jobs, and greatly strengthen Atlanta's thriving innovation ecosystem.”

Georgia Tech’s proximity and research strengths were key factors in the decision to locate the institute in Atlanta. The collaboration is expected to enhance the region’s growing reputation in life sciences and advanced research. Projected to be the largest tenant of Science Square, Shriners Children's would put the facility at 82% occupancy.

Shriners Children’s, founded in 1922 by members of the Shriners International fraternity, focuses on orthopedic and neuromuscular conditions, burn injuries, spinal cord injury rehabilitation, and cleft lip and palate. The organization also maintains a strong commitment to education and research. In 2024, Shriners Children’s served patients from all 50 U.S. states, every Canadian province, and 128 countries.

This news comes after Tech’s recent announcement regarding the move-in of about seven biomedical research labs into Science Square.

Science Square, a mixed-use development adjacent to Georgia Tech’s Midtown campus, continues to attract leading organizations in healthcare, technology, and research. The addition of Shriners Children’s further establishes the district as a hub for global innovation and community impact.

Subtitle

Governor’s office touts move that will create 470 new jobs.

Summary sentence

Shriners Children’s will open a $153 million pediatric medical research facility at Science Square, becoming the largest tenant in the development and contributing to Georgia Tech’s growing role in Atlanta’s life sciences sector.

Summary

Shriners Children’s will establish a new pediatric medical research facility at Science Square in Atlanta, investing more than $153 million into the project. Located across from Georgia Tech’s North Avenue Research Area, the facility will collaborate with Georgia Tech researchers and focus on advancing care in areas such as orthopedic and neuromuscular conditions, burn injuries, spinal cord injury rehabilitation, and cleft lip and palate.

Dateline

Thu, 07/03/2025 - 12:00

media@gatech.edu

Contact

Siobhan Rodriguez
Senior Media Relations Representative
Institute Communications

Keywords

Shriners Children’s

Georgia Tech

science square

pediatric research

medical research facility

atlanta

orthopedic conditions

neuromuscular conditions

spinal cord injury

burn injuries

cleft lip and palate

Biomedical Engineering

artificial intelligence

robotics

Gene Therapy

Medical Devices

biologics

data informatics

research collaboration

Life Sciences

healthcare innovation

research institute

North Avenue Research Area

investment

nonprofit healthcare

go-researchnews

News room topics

Campus and Community

Health and Medicine

Categories

Institute and Campus

Life Sciences and Biology

Research

Mercury ID

683000

Source updated

Thu, 07/03/2025 - 08:58

Middle Schoolers’ Feedback Informs New Approach to AI-based Museum Exhibits

dgivens8 — Fri, 30 May 2025 18:14:41 +0000

Middle Schoolers’ Feedback Informs New Approach to AI-based Museum Exhibits dgivens8 Fri, 05/30/2025 - 14:14

Researchers at Georgia Tech are creating accessible museum exhibits that explain artificial intelligence (AI) to middle school students, including the LuminAI interactive AI-based dance partner developed by Regents' Professor Brian Magerko.

Ph.D. students Yasmine Belghith and Atefeh Mahdavi co-led a study in a museum setting that observed how middle schoolers interact with the popular AI chatbot ChatGPT.

“It’s important for museums, especially science museums, to start incorporating these kinds of exhibits about AI and about using AI so the general population can have that avenue to interact with it and transfer that knowledge to everyday tools,” Belghith said.

Belghith and Mahdavi conducted their study with nine focus groups of 24 students at Chicago’s Museum of Science and Industry. The team used the findings to inform their design of AI exhibits that the museum could display as early as 2025.

Belghith is a Ph.D. student in human-centered computing. Her advisor is Assistant Professor Jessica Roberts in the School of Interactive Computing. Magerko advises Mahdavi, a Ph.D. student in digital media in the School of Literature, Media, and Communication.

Belghith and Mahdavi presented a paper about their study in May at the Association for Computing Machinery (ACM) 2024 Conference on Human Factors in Computing Systems (CHI) in Honolulu, Hawaii.

Their work is part of a National Science Foundation (NSF) grant dedicated to fostering AI literacy among middle schoolers in informal environments.

Expanding Accessibility

While there are existing efforts to reach students in the classroom, the researchers believe AI education is most accessible in informal learning environments like museums.

“There’s a need today for everybody to have some sort of AI literacy,” Belghith said. “Many middle schoolers will not be taking computer science courses or pursuing computer science careers, so there needs to be interventions to teach them what they should know about AI.”

The researchers found that most of the middle schoolers interacted with ChatGPT to either test its knowledge by prompting it to answer questions or socialize with it by having human-like conversations.

Others fit the mold of “content explorers.” They did not engage with the AI aspect of ChatGPT and focused more on the content it produced.

Mahdavi said regardless of their approach, students would get “tunnel vision” in their interactions instead of exploring more of the AI’s capabilities.

“If they go in a certain direction, they will continue to explore that,” Mahdavi said. “One thing we can learn from this is to nudge kids and show them there are other things you can do with AI tools or get them to think about it another way.”

The researchers also paid attention to what was missing in the students’ responses, which Mahdavi said was just as important as what they did talk about.

“None of them mentioned anything about ethics or what could be problematic about AI,” she said. “That told us there’s something they aren’t thinking about but should be. We take that into account as we think about future exhibits.”

Making an Impact

The researchers visited the Museum of Science and Industry June 1-2 to conduct the first trial run of three AI-based exhibits they’ve created. One of them is LuminAI, which was developed in Magerko’s Expressive Machinery Lab.

LuminAI is an interactive art installation that allows people to engage in collaborative movement with an AI dance partner. Georgia Tech and Kennesaw State recently held the first performance of AI avatars dancing with human partners in front of a live audience.

Duri Long, a former Georgia Tech Ph.D. student who is now an assistant professor at Northwestern University, designed the second exhibit. KnowledgeNet is an interactive tabletop exhibit in which visitors build semantic networks by adding different characteristics to characters that interact together.

The third exhibit, Data Bites, prompts users to build datasets of pizzas and sandwiches. Their selections train a machine-learning classifier in real time.

Belghith said the exhibits fostered conversations about AI between parents and children.

“The exhibit prototypes successfully engaged children in creative activities,” she said. “Many parents had to pull their kids away to continue their museum tour because the kids wanted more time to try different creations or dance moves.”

Summary sentence

Partnering with Chicago's Museum of Science and Industry, Researchers at Georgia Tech are creating accessible museum exhibits that explain artificial intelligence (AI) to middle school students.

Summary

Ph.D. students Yasmine Belghith and Atefeh Mahdavi co-led a study in a museum setting that observed how middle schoolers interact with the popular AI chatbot ChatGPT.

Dateline

Fri, 06/21/2024 - 12:00

Contact

Nathan Deen

Communications Officer I

School of Interactive Computing

Associated importer

Keywords

go-ai

artificial intelligence

middle school

AI education

go-researchnews

Research Horizons

Categories

Community

Education

Exhibitions

Georgia Tech Arts

Music and Music Technology

Mercury ID

675196

Source updated

Wed, 07/17/2024 - 10:05

Professor's CNBC Course Highlights College’s Leadership in Expanding AI Literacy

admin — Fri, 25 Apr 2025 14:39:41 +0000

Professor's CNBC Course Highlights College’s Leadership in Expanding AI Literacy admin Fri, 04/25/2025 - 10:39

If you’re worried about artificial intelligence (AI) taking your job, Georgia Tech’s Mark Riedl says that probably won’t happen. However, losing your job to someone who knows how to leverage AI tools in the workplace is something to be concerned about.

To help people beyond campus understand what AI tools are available and how to use them effectively, Riedl recently co-taught an online course by CNBC Make It titled How to Use AI to Be More Successful at Work.

“The running joke right now is that AI will not replace people, but people who use AI will replace people who do not use AI,” said Riedl, professor in the School of Interactive Computing.

The 90-minute course offers tips and hacks to users who are:

Inexperienced in using AI tools in the workplace and are looking to grow in professional development
Small business owners who are overwhelmed with administrative tasks, marketing, industry research, and data analysis
Job seekers looking to stand out from the crowd
People seeking to improve their work-life balance

Riedl, whose research focuses on human-centered and explainable AI, taught sections of the course on the foundation of AI. One of the biggest sections of the course covers large-language models (LLMs).

“When large language models were put forward as chatbots, this was the first time that any person out in the world could naturally interact with an AI system without having to learn to program or write code,” Riedl said.

For less than $100, the on-demand course includes a detailed workbook that helps users consider each aspect of their jobs and daily lives and how AI can improve them.

The Big Picture

CNBC’s use of Riedl’s expertise is one of many examples of how College of Computing faculty are leading the way in teaching AI literacy.

David Joyner, executive director of online education, said Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program continues to innovate with AI literacy in mind.

He said companies and employees alike are learning to navigate AI. Companies are considering AI from a general perspective, focusing on how it can make their businesses more efficient, while employees are using it to become more versatile and valuable workers.

“It’s an interesting dichotomy,” Joyner said. “If companies are trying to figure out how to operate more efficiently, and you have people using these tools to be more productive, at what point does the company need to prioritize using these tools instead of letting their use be organic? We’re still in this experimental phase.”

In a conversation with former College of Computing interim dean Alex Orso, Joyner discusses how OMSCS is staying at the forefront in equipping students with the latest technology skills they need to be successful in a fluctuating industry.

“We must figure out what generative AI can do well and properly leverage it so we’re not cutting out the foundation of a building and replacing it with sticks,” Joyner said.

The complete conversation between Joyner and Orso is available on the College's Youtube channel.

Summary sentence

Georgia Tech Professor Mark Riedl is helping people learn new skills to stay competitive in the workplace.

Summary

Georgia Tech Professor Mark Riedl is helping people learn new workplace skills to stay competitive.

Dateline

Thu, 04/24/2025 - 12:00

Contact

Nathan Deen, Communications Officer

Georgia Tech School of Interactive Computing

nathan.deen@cc.gatech.edu

Associated importer

Keywords

Daily Digest

artificial intelligence

artificial intelligence (AI)

Georgia Tech News Center

go-researchnews

News room topics

Science and Technology

Categories

Institute Leadership

Mercury ID

682001

Source updated

Fri, 04/25/2025 - 10:38

Georgia Tech Shines in 2025 ‘US News’ Graduate Program Rankings

admin — Tue, 08 Apr 2025 11:41:41 +0000

Georgia Tech Shines in 2025 ‘US News’ Graduate Program Rankings admin Tue, 04/08/2025 - 07:41

Georgia Institute of Technology has once again demonstrated its leadership and excellence in graduate education, as reflected in the 2025 U.S. News & World Report program rankings. The rankings highlight Georgia Tech's stellar performance across various disciplines, reaffirming its reputation as a first-rate institution.

Engineering Programs Remain Top Tier

In the realm of engineering, Georgia Tech continues to excel, with all programs holding top 10 spots. Industrial Engineering continues to lead the nation, holding first place. The Aerospace Engineering program maintained second place, tied with California Institute of Technology, while Biomedical Engineering also held steady at second place. Civil Engineering climbed to second place, tied with the University of California – Berkeley. Computer Engineering rose to fifth place, tied with the University of Illinois – Urbana-Champaign. Environmental Engineering moved up to fourth place, tied with the University of Michigan – Ann Arbor and Virginia Tech, while Chemical Engineering held its fifth place ranking. Mechanical Engineering remained in fifth place, tied with the University of Michigan – Ann Arbor.

Business Programs Make Significant Moves

Georgia Tech's graduate business programs have seen significant advancements. The part-time MBA program jumped to 10th place, tied with Georgetown University (McDonough) and the University of Minnesota – Twin Cities (Carlson). Production/Operations moved up to fifth place. Business Analytics climbed to third place. Information Systems remained strong at fifth place.

College of Computing Holds Top 10 Spots

The College of Computing also continues to excel, receiving top 10 rankings in multiple areas, including rising up to the sixth spot overall for computer science programs. Artificial Intelligence ranked sixth. Systems remained strong in fourth place, tied with Stanford University and the University of Illinois – Urbana-Champaign. These accolades underscore the College’s leadership in advancing research and developing cutting-edge curricula that prepare students for impactful careers in technology and innovation.

Public Affairs Programs Secure Top Recognition

Georgia Tech's public affairs programs from the Ivan Allen College of Liberal Arts have also maintained top 10 positions, with Information and Technology Management retaining second place and Environmental Policy and Management holding steady in eighth place.

*Please note that this summary includes the latest rankings issued by U.S. News & World Report for 2025. Not all Georgia Tech Colleges, Schools, and subjects are ranked every year by this organization.

Summary sentence

The advancements in various graduate programs highlight the dedication of Georgia Tech's faculty, students, and staff in achieving new academic heights.

Summary

These rankings reflect Georgia Tech's commitment to academic and research excellence. The advancements in various graduate programs highlight the dedication of Georgia Tech's faculty, students, and staff in achieving new academic heights.

Dateline

Tue, 04/08/2025 - 12:00

sar30@gatech.edu

Contact

Siobhan Rodriguez

Senior Media Relations Representative

Institute Communications

Associated importer

Keywords

Georgia Tech

US News Graduate Program Rankings

2026 rankings

Engineering programs

aerospace engineering

Biomedical Engineering

Civil Engineering

computer engineering

environmental engineering

industrial engineering

Mechanical Engineering

Business programs

Part-Time MBA

Production/Operations

Business Analytics

information systems

College of Computing

artificial intelligence

systems

Public Affairs programs

Information & Technology Management

Environmental Policy & Management

academic excellence

Research excellence

graduate education

News room topics

Campus and Community

Categories

Education

Institute and Campus

Mercury ID

681650

Source updated

Tue, 04/08/2025 - 07:41

Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction

admin — Wed, 26 Mar 2025 01:20:41 +0000

Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction admin Tue, 03/25/2025 - 21:20

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied to other models that predict how natural systems impact society.

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

In experiments predicting medium-range weather forecasting and shallow water wave propagation, Latent-EnSF demonstrated higher accuracy, faster convergence, and greater efficiency than existing methods for sparse data assimilation.

“We are currently involved in an NSF-funded project aimed at providing real-time information on extreme flooding events in Pinellas County, Florida,” said Si, who studies computational science and engineering (CSE).

“We're actively working on integrating Latent-EnSF into the system, which will facilitate accurate and synchronized modeling of natural disasters. This initiative aims to enhance community preparedness and safety measures in response to flooding risks.”

Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave propagation experiments. These tests show models can make better and faster predictions of coastal flood waves, tides, and tsunamis.

In experiments on medium-range weather forecasting, Latent-EnSF surpassed the same three control models in accuracy, convergence, and time. Additionally, this test demonstrated Latent-EnSF's scalability compared to other methods.

These promising results support using ML models to simulate climate, weather, and other complex systems.

Traditionally, such studies require employment of large, energy-intensive supercomputers. However, advances like Latent-EnSF are making smaller, more efficient ML models feasible for these purposes.

The Georgia Tech team mentioned this comparison in its paper. It takes hours for the European Center for Medium-Range Weather Forecasts computer to run its simulations. Conversely, the ML model FourCastNet calculated the same forecast in seconds.

“Resolution, complexity, and data-diversity will continue to increase into the future,” said Chen, an assistant professor in the School of CSE.

“To keep pace with this trend, we believe that ML models and ML-based data assimilation methods will become indispensable for studying large-scale complex systems.”

Data assimilation is the process by which models continuously ingest new, real-world data to update predictions. This data is often sparse, meaning it is limited, incomplete, or unevenly distributed over time.

Latent-EnSF builds on the Ensemble Filter Scores (EnSF) model developed by Florida State University and Oak Ridge National Laboratory researchers.

EnSF’s strength is that it assimilates data with many features and unpredictable relationships between data points. However, integrating sparse data leads to lost information and knowledge gaps in the model. Also, such large models may stop learning entirely from small amounts of sparse data.

The Georgia Tech researchers employ two variational autoencoders (VAEs) in Latent-EnSF to help ML models integrate and use real-world data. The VAEs encode sparse data and predictive models together in the same space to assimilate data more accurately and efficiently.

Integrating models with new methods, like Latent-EnSF, accelerates data assimilation. Producing accurate predictions more quickly during real-world crises could save lives and property for communities.

To share Latent-EnSF to the broader research community, Chen and Si presented their paper at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organized CSE25, held March 3-7 in Fort Worth, Texas.

Chen was one of ten School of CSE faculty members who presented research at CSE25, representing one-third of the School’s faculty body. Latent-EnSF was one of 15 papers by School of CSE authors and one of 23 Georgia Tech papers presented at the conference.

The pair will also present Latent-EnSF at the upcoming International Conference on Learning Representations (ICLR 2025). Occurring April 24-28 in Singapore, ICLR is one of the world’s most prestigious conferences dedicated to artificial intelligence research.

“We hope to bring attention to experts and domain scientists the exciting area of ML-based data assimilation by presenting our paper,” Chen said. “Our work offers a new solution to address some of the key shortcomings in the area for broader applications.”

Summary sentence

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Summary

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Dateline

Fri, 03/14/2025 - 12:00

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Bryant Wine, Communications Officer
bryant.wine@cc.gatech.edu

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Source updated

Tue, 03/25/2025 - 21:19

Georgia Tech Launches Tech AI to Accelerate the Real-World Impact of Artificial Intelligence

admin — Mon, 24 Mar 2025 18:54:41 +0000

Georgia Tech Launches Tech AI to Accelerate the Real-World Impact of Artificial Intelligence admin Mon, 03/24/2025 - 14:54

ATLANTA — March 24, 2025 — Georgia Tech has officially launched Tech AI, a bold new initiative designed to accelerate the real-world impact of artificial intelligence across industry and government. The announcement marks the start of Tech AI Fest, the Southeast’s leading AI event, bringing together leading academics, industry experts, government figures, and students for three days of immersive discussion, creative partnerships, and transformative ideas.

Georgia Tech distinguishes itself through its exceptional ability to merge foundational research with dynamic real-world partnerships. Through Tech AI, the Institute connects top-tier researchers with public and private sector collaborators to translate scientific breakthroughs into tangible societal benefits — from optimizing supply chains and modernizing health systems to strengthening national security and improving transportation infrastructure.

“AI is both a force to drive innovation in science and engineering and a technology to deliver concrete, scalable solutions to challenging industrial problems,” said Pascal Van Hentenryck, director of Tech AI and A. Russell Chandler III Chair and professor at Georgia Tech. “Through Tech AI, Georgia Tech is redefining the pathway from academic research to tangible societal benefits, advancing fields like energy, supply chains, manufacturing, transportation, enterprise systems, and healthcare to shape a smarter, more sustainable future."

One of the AI ecosystem's greatest challenges — securing highly skilled talent — is being addressed head-on. Tech AI is preparing the next wave of AI innovators through advanced education and training, helping to close the widening talent gap.

Tech AI is built on four strategic pillars: applied research, industry partnerships, AI engineering, and workforce development. Together, these pillars form a dynamic ecosystem that develops responsible, rigorously validated AI technologies — and speeds their deployment in critical sectors such as energy, advanced manufacturing, healthcare, transportation, and essential services.

Tech AI is more than an initiative — it’s a catalyst. By turning world-class research into scalable solutions, Georgia Tech is shaping the future of artificial intelligence and delivering impact where it matters most. Tech AI leverages the groundbreaking work of Georgia Tech’s three National Science Foundation-funded AI Institutes and its network of Interdisciplinary Research Institutes, creating a powerful hub to accelerate AI solutions from research to real-world impact.

Happening this week at Georgia Tech’s campus, Tech AI Fest showcases the initiative’s wide-ranging impact through hands-on demos, research spotlights, student showcases, and panels featuring thought leaders from academia, industry, and government. The event reinforces Georgia Tech’s role as a national hub for cutting-edge AI exploration and collaboration.

To learn more about Tech AI or explore partnership opportunities, visit ai.gatech.edu.

Subtitle

Summary sentence

The announcement marks the start of Tech AI Fest, the Southeast’s leading AI event, bringing together leading academics, industry experts, government figures, and students for three days of creative partnerships and transformative ideas.

Summary

Georgia Tech has officially launched Tech AI, a bold new initiative designed to accelerate the real-world impact of AI. The announcement coincides with Tech AI Fest, the Southeast’s leading AI event, featuring academics, industry experts, government figures, and students.

Dateline

Mon, 03/24/2025 - 12:00

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Source updated

Mon, 03/24/2025 - 14:53

Advancing AI in the Classroom

admin — Tue, 10 Dec 2024 13:54:41 +0000

Advancing AI in the Classroom admin Tue, 12/10/2024 - 08:54

Michael Washington has been teaching high school math for two decades, but in 2021, he found himself on the other side of the (virtual) classroom as a first-year master’s computer science student at Georgia Tech.

As artificial intelligence becomes more prevalent in curriculums at all levels of instruction, Washington saw an opportunity to assist his school, Greater Atlanta Christian (GAC), in harnessing its capabilities to help students. During his time at Tech, the Chicago native helped GAC enhance its large language model, which he says acts as an instructional “extension” of the teacher.

“For a period during the pandemic, our classes were online, and all of that recorded data was able to be used to develop this LLM, and we continue to add to it. For my class, the model can mimic my teaching style, and it’s available to my students whenever they need it,” he said.

AI’s role in the classroom is fluid, but Washington wants his students to interact with it as a tutor and not an all-powerful calculator.

“Just like it would be wrong of a tutor to simply give the student the right answer, we have trained the model to walk our students through a problem step-by-step to ensure they understand how they arrived at that answer,” he said.

Like his students, Washington has been striking a balance between schoolwork and his personal life for the past three years, often studying and completing homework assignments at night or on weekends. Along with the knowledge he gained from the coursework, Washington says he came away from the program with a refreshed outlook on instruction.

“My professors were all so helpful. This experience made me reevaluate myself as a teacher, and in a way, I leave the program with more empathy for students. I realized that sometimes I may need to explain things differently or go back over something to make sure everyone is following along,” Washington said.

Washington becomes a Double Jacket with his master’s in computer science after earning an M.S. in electrical engineering from the Institute in 1998. He holds an undergraduate degree from Florida A&M University. After his first Tech degree, Washington began working as an engineer with Motorola, but after three years in the field, he pursued his passion in teaching and went on to earn a master’s in education from Georgia State University.

When he’s not in the classroom, Washington spends time with his wife and two children. With one child in middle school and another preparing to graduate from high school, he hopes to inspire them to continue seeking opportunities to learn.

Subtitle

As a high school math teacher, Michael Washington is using his degree to bring artificial intelligence to his students.

Summary sentence

As a high school math teacher, Michael Washington is using his degree to bring artificial intelligence to his students.

Summary

As a high school math teacher, Michael Washington is using his degree to bring artificial intelligence to his students.

Dateline

Tue, 12/10/2024 - 12:00

Steven.gagliano@gatech.edu

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Steven Gagliano - Institute Communications

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Source updated

Tue, 12/10/2024 - 08:54

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Georgia Tech Launches Tech AI to Accelerate the Real-World Impact of Artificial Intelligence

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Advancing AI in the Classroom

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