College of Design

Machine Learning Key to Proposed App that Could Help Flood-prone Communities

admin — Mon, 13 May 2024 14:36:41 +0000

Machine Learning Key to Proposed App that Could Help Flood-prone Communities admin Mon, 05/13/2024 - 10:36

A scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.

School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.

CRIS-HAZARD‘s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts.

This ability helps policymakers identify areas most vulnerable to flooding and address community needs. The app also predicts and assesses flooding in real time to connect victims with first responders and emergency managers.

“Successfully deploying CRIS-HAZARD will harness community knowledge through direct and indirect engagement efforts to inform decision-making,” Chen said. “It will connect individuals to policymakers and serve as a roadmap at helping the most vulnerable communities.”

Chen’s role in CRIS-HAZARD will be to develop new ML models for the app’s prediction capability. These assimilation models integrate the mined data with predictions from current hydrodynamic models.

Along with making an immediate impact in flood-prone coastal communities, Chen said these models could have broader applications in the future. These include models for improved hurricane prediction and management of water resources.

The models Chen will build for CRIS-HAZARD derive from past applications aimed at helping communities.

Chen has crafted similar models for monitoring and mitigating disease spread, including Covid-19. He has also worked on materials science projects to accelerate the design of metamaterials and self-assembly materials.

“Scientific machine learning is very broad concept and can be applied to many different fields,” Chen said. “Our group looks at how to accelerate optimization, account for risk, and quantify uncertainty in these applications.”

Uncertainty in CRIS-HAZARD is what brings Chen to the project, headed by University of South Florida researchers. While the app’s novelty lies in its use of heterogenous data, inferring predictions can be challenging since the data comes from different sources in varying formats.

To overcome this, Chen intends to build new data assimilation models from scratch powered by deep neural networks (DNNs).

Along with their ability to find connections between heterogeneous data, DNNs are scalable and inexpensive. This beats the alternative of using supercomputers to make the same calculations.

DNNs are also fast and can significantly reduce computational time. According to Chen, the efficiency of DNNs can achieve acceleration hundreds of thousands of times greater than classical models.

Low cost and time make it possible to run DNN-based simulations multiple times. This improves reliability in prediction results in real-time once the DNNs are properly trained.

“The data may not be consistent or compatible since there are different models we’re trying to integrate, making prediction uncertain,” Chen said. “We can run these ML models many times to quantify the uncertainty and give a probability distribution or a range of predictions.”

CRIS-HAZARD also exemplifies the power of collaboration across disciplines and universities. In this case, machine learning techniques reach across state boundaries to help people that are vulnerable to flooding or other natural disasters.

USF Professor Barnali Dixon leads the project with Associate Professor Yi Qiang— both geocomputation researchers in the School of Geosciences, incorporating data science and artificial intelligence.

Subhro Guhathakurta collaborates with Chen from Georgia Tech. Along with being a professor in the School of City & Regional Planning, Guhathkurta is director of Tech’s Master of Science in Urban Analytics program and the Center for Spatial Planning and Analytics and Visualization.

Summary sentence

School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.

Summary

A scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.

CRIS-HAZARD‘s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts.

Dateline

Thu, 09/28/2023 - 12:00

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

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Earth and Environment

Triple Jacket Amy Stone Leaves Lasting Legacy at Georgia Tech

admin — Tue, 05 Dec 2023 19:56:01 +0000

Triple Jacket Amy Stone Leaves Lasting Legacy at Georgia Tech admin Tue, 12/05/2023 - 14:56

When Amy Stone first arrived on the Georgia Tech campus in 2006 to pursue a bachelor's degree in architecture, she was in awe of her surroundings. Seventeen years later, the soon-to-be triple Jacket and mother of three leaves behind her own stamp on the Institute's future.

While she didn't realize how much time she'd spend at Tech after arriving as a transfer student, Stone knew instantly that she had found a home here.

"I remember driving up to Georgia Tech and just being wowed by the beauty of the campus and its history and feeling like this place was special,” she said. “This green urban campus in the middle of a city has so much to offer. I kept coming back for the quality of the education, and I love to see how the campus has gotten more beautiful, advanced, and innovative by improving upon itself."

Among the transformative projects completed during Stone's time on campus is The Kendeda Building for Innovative and Sustainable Design — a building she had a hand in designing as a member of the project team.

"It's such an honor as a student to be able to put my own thumbprint on this campus that has given me so much. I'm so proud of the outcome and that it can be used as an example, as a learning lab, and an educational opportunity to show this is what sustainability looks like," she said.

As construction crews continue their work on the early stages of Tech Square Phase 3, Stone sees another dream project come to fruition, having worked on the concept phase of the high-rise towers. The Scheller and George Towers will add more than 400,000 square feet of new space for research and collaboration and, to Stone, signify an ongoing commitment to the Institute putting its mission statement into action.

"There is something so ambitious and beautiful about this project, continuing to connect a green, urban campus to these dense buildings that are reaching up and stating to the skyline, 'We are Georgia Tech,'" she said of the towers, which are expected to be completed in 2026.

Stone has seen the campus grow through the years alongside her growing family, which now includes three kids. After completing her first degree, she and her husband, Lorrin, welcomed their first two children. When she returned to Tech to pursue a master's degree in architecture, her children were there to lend a helping hand.

"I was hauling them to student meetings, and they were meeting me in the studio between classes. They have been on campus more times than they recognize, and they are just growing as this campus grows. They have watched me do homework, they have been a part of my group assignments and group calls, and I feel it's only fitting that they are here at Commencement at the final moment with me," she said.

That teamwork played a key role in Stone's final semester of her master's program in 2020, when her backyard became her lab due to the pandemic.

"I built my model for my final project with my son and my daughter breaking bricks and gluing them to the side of a facade," said Stone, who was pregnant with the couple's third child at the time. "I got to bring in small hands to help with projects and explain to them what I was doing and why I was doing it in a way that they don't normally get to see. We learned a lot during the pandemic, but that's what we do at Georgia Tech. We innovate, we learn, we adapt."

Intrigued by the intersection of architecture and business, Stone was drawn to the Scheller College of Business, where she will receive her MBA, bringing an end to her educational journey with her family at her side. After taking time to enjoy the holidays and complete a Half Ironman triathlon, Stone will be teaching an architecture course at Kennesaw State University in the spring.

Subtitle

Amy Stone earned three Georgia Tech degrees over 17 years and had a hand in two transformative projects on campus.

Summary sentence

Amy Stone earned three Georgia Tech degrees over 17 years and had a hand in two transformative projects on campus.

Summary

Amy Stone earned three Georgia Tech degrees over 17 years and had a hand in two transformative projects on campus.

Dateline

Tue, 12/05/2023 - 12:00

Steven.gagliano@gatech.edu

Contact

Steven Gagliano - Institute Communications

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Georgia Tech Commencement

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Machine Learning Key to Proposed App that Could Help Flood-prone Communities

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Triple Jacket Amy Stone Leaves Lasting Legacy at Georgia Tech

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