Scott Duncan leads the microgrid initiative at the Georgia Tech Strategic Energy Institute, principally facilitating access to the Tech Square Microgrid for Georgia Tech students and researchers. He is a senior research engineer within the School of Aerospace Engineering, where he is a member of the Digital Engineering Division of the Aerospace Systems Design Laboratory (ASDL).

In his current position, Duncan leads and manages multidisciplinary research teams in projects relating to terrestrial infrastructure systems, including community energy systems comprising grid-interactive efficient buildings, electrified loads, district thermal systems, distributed energy resources (DERs), and microgrids. The teams assess and support the design of these systems by applying techniques from data analysis, modeling and simulation, design space exploration, visualization, optimization, digital twinning, and model-based systems engineering. Duncan also supports the long-running Smart Campus Initiative between ASDL and Georgia Tech Infrastructure & Sustainability (I&S), where researchers analyze and model campus utility systems.

Duncan is a member of the American Institute of Aeronautics and Astronautics (AIAA), serving on its Terrestrial Energy Systems (TES) Technical Committee, as well as a member of the American Society of Heating, Refrigerating and Air-Conditioning Engineers.

Below is a brief Q&A with Duncan, where he discusses his research and how it influences the microgrids initiative at Georgia Tech.

• What is your field of expertise and at what point in your life did you first become interested in this area?

My expertise lies in systems engineering for managing energy infrastructure, with a recent focus on the “grid edge,” where demand-side systems like buildings and community-scale projects intersect with distributed energy resources (DERs) and wider utility grids. Initially, as a research engineer, I worked on optimizing combined cycle power plant design. Over the last decade, my research has shifted towardThank the increasing complexity of energy systems on the demand side, including electrified buildings and vehicle charging. Systems engineering involves techniques to understand, design, and manage large-scale systems, evaluating trade-offs and multi-objective goals. It is a privilege to work in this field, especially within the built environment, which is a burgeoning area for these techniques. Overall, I am passionate about orchestrating large systems rather than focusing on specific disciplinary sciences or smaller mechanical aspects.

• What questions or challenges sparked your current energy research? What are the big issues facing your research area right now?

Since my graduate studies at Georgia Tech, where I completed my Ph.D. in mechanical engineering and was affiliated with a sustainable design and manufacturing research group, I have been deeply interested in sustainability. My research on systems design and life cycle management led me to recognize energy as a critical element in sustainability. The conversation around climate impacts has shifted from avoidance to adaptation, highlighting the need for resilient energy systems. As a systems engineer, I find the complexity of managing interconnected energy systems fascinating. Understanding and co-managing these systems is crucial, as is demonstrating their effectiveness beyond simulations. Over the past few years, I have shifted toward more applied, infrastructure-as-a-laboratory experiments to address these challenges.

• What interests you the most leading SEI’s research initiative on microgrids? Why is your initiative important to the development of Georgia Tech’s energy research strategy?

I manage research operations for the Tech Square Microgrid (TSMG), which was established in partnership with Georgia Power and Southern Company. This urban microgrid serves as a resiliency resource for part of the data center on the Coda block and as a test bed for innovative experiments. Although the TSMG project predates my involvement, I have the privilege of coordinating its broader use by the Georgia Tech community. My work focuses on creating a living lab for microgrids, balancing the operation of a real system with accessibility for research and education. This involves managing the complexity of interconnected systems and ensuring their components are understood and effectively deployed. U.S. national labs and funding agencies are interested in such dual-purpose systems that demonstrate real-world applications while pushing the boundaries of current performance. Over the past few years, I have shifted toward more applied, infrastructure-as-a-laboratory experiments to address these challenges.

We have been collecting several years of streaming data from approximately 800 different parameters of the microgrid. This data is stored in a historian and made accessible to the Georgia Tech community, allowing us to observe the grid while Georgia Power maintains its operations. We have accumulated valuable data on operations, status, and faults, which is available to certain parts of the Georgia Tech community. Our goal is to expand access and build a collective understanding and knowledge around this data. We are especially interested in finding data scientists to help maximize the use of data in understanding TSMG behaviors.

• What are the broader global and social benefits of the research you and your team conduct on microgrids?

The research conducted by my team on microgrids offers significant global and social benefits, particularly in the realm of decarbonization. By integrating non-dispatchable renewable energy sources such as solar and wind with dispatchable storage solutions, fuel cells, and reciprocating engines, we aim to create a resilient and stable energy grid. This microgrid not only supports high-performance computing assets at Georgia Tech but also serves as a demonstrator for backup alternatives and their interoperability. Our work provides valuable insights into the strengths and weaknesses of different energy sources and storage options, contributing to the broader goal of increasing renewable energy use while supporting grid stability. 

• What are your plans for engaging a wider Georgia Tech faculty pool with the broader energy community?

To engage a wider Georgia Tech faculty pool with the broader energy community, we are building a community around the Tech Square Microgrid. This initiative fosters collaboration and knowledge sharing among Georgia Tech faculty, Georgia Power, and Southern Company. We have set up a Microsoft Teams site for collaboration and understanding of the microgrid, allowing users to access documents, models, and data. This platform encourages innovative experiments and supports both educational and research purposes. Interested Georgia Tech members can contact me or use this Microsoft Forms link to gain access, ask questions, and share knowledge. We are continuously refining this approach and seeking more participants to expand our community.

• What are your hobbies? 

These days, my hobbies revolve around spending time with my family, including hiking and traveling. My kids are developing interests in chess, sports, and engineering, which has rekindled my own passion for technical pursuits and outdoor activities. I also enjoy music and tinkering with new technologies like devices, 3D printing, and software engineering.

• Who has influenced you the most?

I realize my outlook on life is shaped by a mosaic of influences. As a systems engineer, I appreciate the interconnectedness of various elements. But I’d say that my parents, both psychology professors, have been particularly influential. Their academic lifestyle and mode of inquiry inspired me, and their approach to engaging with students and fostering curiosity has been a primary influence in my life.

To be based at the Georgia Tech Research Institute (GTRI), Jeremy Epstein will serve as co-director of ICARIS, collaborating with PNNL co-director Danny Herrera to identify and develop ways to confront threats against the nation’s critical infrastructure. He will also serve as an adjunct professor in Georgia Tech’s School of Cybersecurity and Privacy, which is partnering with GTRI.

ICARIS was formed to serve as the leading national resource for delivering the technologies, testbeds, and talent necessary to serve the nation’s critical infrastructure.

“Anyone using a mobile phone or laptop computer, watching television, driving a modern vehicle, traveling on a highway controlled by traffic signals – or using electricity for most any purpose – is subject to cybersecurity and privacy issues,” said Epstein. “Everything is now computer-controlled, and the security opportunities are there for deliberate adversaries at the nation-state level or malicious actors. We have to look at the big picture and not simply solve challenges one at a time.”

Read Full Story on the GTRI Newspage

On a cloudy spring day in Atlanta, Rich Simmons, director of research and studies at the Georgia Tech Strategic Energy Institute (SEI), led a group of a dozen student volunteers to the roof of the Carbon Neutral Energy Solutions Laboratory (CNES). The students were part of the nearly 300 student volunteers participating in Georgia Tech Beautification Day and visited CNES to clean the building’s rooftop solar array made of photovoltaic (PV) panels. The CNES building entered operation in 2011 and its panels have accumulated grime over the years, impacting their efficiency.

Simmons explained the importance of this project, emphasizing how cleaning the panels restores their efficiency and contributes to ongoing research. "We've used this project to better understand PV efficiency in an urban environment and have instrumented the newly cleaned arrays to continue monitoring. An initial study last year suggested efficiency could increase by 10-20% just from a thorough cleaning. This project is both a handy research tool, an educational conduit, and a means of campus engagement related to sustainability," he shared.

Safety was paramount, and proactive communication between the research, health and safety, and infrastructure and sustainability teams ensured a successful event. Equipped with hard hats, eye protection, and high-visibility safety vests, the students scrubbed the panels with sponges and bristle brushes. The hands-on experience was both educational and rewarding.

After cleaning, Simmons led the group to the inverter room, where the DC electricity generated by the panels is converted into AC so that it can be consumed within the building or exported to the campus grid. He explained that excess solar power can also be stored in the newly installed 150-kWh Stryten battery system or used to charge campus vehicles through the newly installed EV chargers in the building’s parking lot. He demonstrated how magnetic monitoring devices measure the electricity produced by the arrays, allowing for a comparison of the efficiency of panels that were just cleaned, to those that were cleaned last year, and those that have never been cleaned in the 13 years since their installation.

Through initiatives like this, Georgia Tech continues to lead in research and education, inspiring the next generation of innovators and problem-solvers.

This article was written with the assistance of Microsoft Copilot (Apr. 9, 2025) and edited by Georgia Tech EPIcenter's Gilbert X. Gonzalez and Rich Simmons.

For centuries, innovations in structural materials have prioritized strength and durability — often at a steep environmental price. Today, the construction industry accounts for approximately 10% of global greenhouse gas emissions, with cement, steel, and concrete responsible for more than two-thirds of that total. As the world presses for a sustainable future, scientists are racing to reinvent the very foundations of our built environment.

Paradigm Shift in Construction

Now, researchers at Georgia Tech have developed a novel class of modular, reconfigurable, and sustainable building blocks — a new construction paradigm as well-suited for terrestrial homes as it is for extraterrestrial habitats. Their study, published in Matter, demonstrates that these innovative units, dubbed eco-voxels, can reduce carbon footprints by up to 40% compared to traditional construction materials. These units also maintain the structural performance needed for applications ranging from load-bearing walls to aircraft wings.

“We created sustainable structures using these eco-friendly building blocks, combining our knowledge of structural mechanics and mechanical design with industry-relevant manufacturing practices and environmental assessments,” said Christos Athanasiou, assistant professor at the Daniel Guggenheim School of Aerospace Engineering.

Housing Affordability Solutions

Their work offers a potential solution to the growing housing affordability crisis. As climate-driven disasters such as hurricanes, wildfires, and floods increase, homes are damaged at higher rates, and insurance costs are skyrocketing. This crisis is fueled by rising land prices and restrictive development regulations. Meanwhile, the growing demand for housing places an increasing strain on global resources and the environment. The modularity and circularity of the developed approach can effectively address these issues. 

The New Building Blocks

Eco-voxels — short for eco-friendly voxels, the 3D equivalent of pixels — are made from polytrimethylene terephthalate (PTT). PTT is a partially bio-based polymer derived from corn sugar and reinforced with recycled carbon fibers from aerospace waste (scrap material lost during the manufacturing of aerospace components). Eco-voxels can be easily assembled into large, load-bearing structures and then disassembled and reconfigured, all without generating waste. Consequently, they offer a highly adaptable, sustainable approach to construction.

The team tested eco-voxels and found they can handle the pressure that buildings usually face. They also used computer simulations to show that changing the shape of eco-voxels makes them suitable for many different building needs.

The researchers compared the eco-voxel approach to other emerging construction methods like 3D-printed concrete and cross-laminated timber (CLT), finding that eco-voxels offer significant environmental advantages. While traditional and alternative materials are often heavy and carbon-intensive, the eco-voxel wall had the lowest carbon footprint: 30% lower than concrete and 20% lower than CLT.

These results highlight eco-voxels as a promising low-carbon, high-performance solution for sustainable and affordable construction, opening new possibilities for faster, more sustainable building solutions. In addition to residential uses, emergency shelters built with eco-voxels could be used for disaster-relief scenarios, where quick assembly, modularity, and minimal environmental impact are crucial.

 

In July 2024, the Strategic Energy Institute (SEI), in partnership with the Georgia Tech Research Institute (GTRI), launched the Energy and National Security Initiative through a campuswide workshop. The event attracted over 100 participants from units across Georgia Tech and GTRI. John Tien, SEI distinguished external fellow, professor of the practice, and former deputy secretary for the Department of Homeland Security, along with Tom Fanning, former CEO at Southern Company, kicked off the workshop with a discussion on the role of energy in national security and the opportunities for Georgia Tech to align its research with this critical topic. 

The event concluded with the announcement of two rounds of seed funding, offering up to $500,000 annually for three years. The first round, announced in September 2024, provided planning grants to six teams to support their initiatives in the fall.  

Recipients of the second phase of seed funding have now been announced. This phase will provide research support in the spring, with an option for additional funding through the 2025-26 academic year. 

“This seed funding initiative by SEI and GTRI is a significant step toward advancing national security through innovative energy solutions. We believe this support will empower the funded teams to explore critical intersections between energy infrastructure and security, fostering groundbreaking advancements for a safer energy future,” said Christine Conwell, SEI’s interim executive director.  

Seven interdisciplinary projects by team members from Georgia Tech and GTRI have been selected for the second phase, also known as Category B. The projects include:

• Energy Infrastructure Security and Risk Assessment Through Interactive Wargaming
  Description: This project analyzes key vulnerabilities in energy infrastructure operations related to national security, focusing on interactions within and between Systems of Systems (SoS).
  Principal Investigators (PIs): Dimitri Mavris, Scott Duncan, Michael Balchanos
  Team Members: Charles Domercant, Adam Stulberg, Jenna Jordan, Margaret E. Kosal
• Evaluating Energy Storage Materials, Supplies, and Systems in the Context of National Security Requirements
  Description: This project explores the evolving requirements and performance of energy storage technologies for defense, focusing on design space, battery performance under extreme conditions, and material needs.
  PIs: Micah Ziegler, Jinho Park
  Team Members: Matt McDowell, Ilan Stern
• Nanostructured Sensors for Monitoring of Nuclear Fuel Cycle
  Description: Advanced sensors and instrumentation are crucial for monitoring the nuclear fuel cycle amid evolving energy and security concerns. This project proposes a multidisciplinary research effort to explore nuclear threats and the development of safe, secure civil nuclear power, nuclear waste management, and SMRs.
  PIs: Anna Erickson
  Team Members: W. Jud Ready, Yuguo Tao, Brent Wagner
• Resilient Critical Infrastructures via Provably Secure Control Algorithms
  Description: This project focuses on using provable cryptographic techniques to securely and efficiently solve control algorithms in real time to ensure overall safety, security, and resilience of critical infrastructure (power grids, water networks, and communication systems).
  PI: Dan Molzahn
  Team Members: Saman Zonouz, Vladimir Kolesnikov, Samuel Litchfield
• Robust Energy Systems Planning by Way of Novel Systems Engineering (RESPoNSE)
  Description: This project focuses on an improved decision-making framework for military deployment Concepts of Operations (CONOPS) and Standard Operating Procedures (SOPs). The framework will enhance “scheduling” both on the level of deploying fuel supply assets such as fuel trucks and optimizing time allocations of sequential energy conversions.
  PI: Comas Haynes
  Team Members: Matt McDowell, Mathieu Dahan
• SPARC: Severe-Weather Predictive Analytics and Resilient Communication
  Description: SPARC aims to address severe weather challenges to energy infrastructure by making energy systems more resilient through the integration of advanced predictive analytics, localized weather models, and resilient communication networks. 
  PI: Francisco Valdes 
  Team Members: Santiago Grijalva, Trevor Lewis, Michael Peterson
• The Strategic Mineral Economy: Challenges and Opportunities for Critical Resources
  Description: This project focuses on combining disciplinary toolkits with growing expertise in the science, engineering, policy, logistics, and economics of critical minerals supply chains to provide valuable policy insights and academic research at the frontier of this nascent field.
  PIs: Dylan Brewer, Bobby Harris, Matthew Swarts
  Team Members: Kevin Caravati, Chris Gaffney, Manho Kang, Francisco Valdes, Micah Ziegler, Laura Taylor
   

“The seed grant initiative is supporting energy and national security collaboration among researchers from multiple units across the Georgia Tech campus,” said William H. Robinson, interim chief technology officer and deputy director for Research in GTRI’s Information and Cyber Sciences Directorate. “We are very pleased to see the teamwork of these faculty members as they address important issues facing our nation.”

A follow-up workshop will be held this summer to bring together the awardees of the seed grant program. Additionally, a lunch and learn seminar series is planned in the fall to showcase the research progress of the seed grant program. For updates, visit the Strategic Energy Institute event webpage.

 

When the International Maritime Organization enacted a mandatory cap on the sulfur content of marine fuels in 2020, with an eye toward reducing harmful environmental and health impacts, it left shipping companies with three main options.

They could burn low-sulfur fossil fuels, like marine gas oil, or install cleaning systems to remove sulfur from the exhaust gas produced by burning heavy fuel oil. Biofuels with lower sulfur content offer another alternative, though their limited availability makes them less feasible.

While installing exhaust gas cleaning systems, known as scrubbers, is the most feasible and cost-effective option, there has been a great deal of uncertainty among firms, policymakers, and scientists as to how “green” these scrubbers are.

Through a novel lifecycle assessment, researchers from Georgia Tech, MIT, and elsewhere have now found that burning heavy fuel oil with scrubbers in the open ocean can match or surpass using low-sulfur fuels, when a wide variety of environmental factors is considered.

The scientists combined data on the production and operation of scrubbers and fuels with emissions measurements taken onboard an oceangoing cargo ship.

They found that, when the entire supply chain is considered, burning heavy fuel oil with scrubbers was the least harmful option in terms of nearly all 10 environmental impact factors they studied, such as greenhouse gas emissions, terrestrial acidification, and ozone formation.

“In our collaboration with Oldendorff Carriers to broadly explore reducing the environmental impact of shipping, this study of scrubbers turned out to be an unexpectedly deep and important transitional issue,” said Neil Gershenfeld, an MIT professor, director of the Center for Bits and Atoms (CBA), and senior author of the study.

“Claims about environmental hazards and policies to mitigate them should be backed by science. You need to see the data, be objective, and design studies that take into account the full picture to be able to compare different options from an apples-to-apples perspective,” added lead author Patricia Stathatou, an assistant professor at Georgia Tech, who began this study as a postdoc in the CBA.

Stathatou is joined on the paper by Michael Triantafyllou and others at Naias Laboratories, the National Technical University of Athens in Greece, and the maritime shipping firm Oldendorff Carriers. The research appeared recently in Environmental Science and Technology.

Slashing sulfur emissions

Heavy fuel oil, traditionally burned by bulk carriers that make up about 30 percent of the global maritime fleet, usually has a sulfur content around 2 to 3 percent. This is far higher than the International Maritime Organization’s 2020 cap of 0.5 percent in most areas of the ocean and 0.1 percent in areas near population centers or environmentally sensitive regions.

Sulfur oxide emissions contribute to air pollution and acid rain, and can damage the human respiratory system.

In 2018, fewer than 1,000 vessels employed scrubbers. After the cap went into place, higher prices of low-sulfur fossil fuels and limited availability of alternative fuels led many firms to install scrubbers so they could keep burning heavy fuel oil.

Today, more than 5,800 vessels utilize scrubbers, the majority of which are wet, open-loop scrubbers.

“Scrubbers are a very mature technology. They have traditionally been used for decades in land-based applications like power plants to remove pollutants,” Stathatou explained.

A wet, open-loop marine scrubber is a huge, metal, vertical tank installed in a ship’s exhaust stack, above the engines. Inside, seawater drawn from the ocean is sprayed through a series of nozzles downward to wash the hot exhaust gases as they exit the engines.

The seawater interacts with sulfur dioxide in the exhaust, converting it to sulfates — water-soluble, environmentally benign compounds that naturally occur in seawater. The washwater is released back into the ocean, while the cleaned exhaust escapes to the atmosphere with little to no sulfur dioxide emissions.

But the acidic washwater can contain other combustion byproducts like heavy metals, so scientists wondered if scrubbers were comparable, from a holistic environmental point of view, to burning low-sulfur fuels.

Several studies explored toxicity of washwater and fuel system pollution, but none painted a full picture.

The researchers set out to fill that scientific gap.

A “well-to-wake” analysis

The team conducted a lifecycle assessment using a global environmental database on production and transport of fossil fuels, such as heavy fuel oil, marine gas oil, and very-low sulfur fuel oil. Considering the entire lifecycle of each fuel is key, since producing low-sulfur fuel requires extra processing steps in the refinery, causing additional emissions of greenhouse gases and particulate matter.

“If we just look at everything that happens before the fuel is bunkered onboard the vessel, heavy fuel oil is significantly more low-impact, environmentally, than low-sulfur fuels,” Stathatou said.

The researchers also collaborated with a scrubber manufacturer to obtain detailed information on all materials, production processes, and transportation steps involved in marine scrubber fabrication and installation.

“If you consider that the scrubber has a lifetime of about 20 years, the environmental impacts of producing the scrubber over its lifetime are negligible compared to producing heavy fuel oil,” she noted.

For the final piece, Stathatou spent a week onboard a bulk carrier vessel in China to measure emissions and gather seawater and washwater samples. The ship burned heavy fuel oil with a scrubber and low-sulfur fuels under similar ocean conditions and engine settings.

Collecting these onboard data was the most challenging part of the study.

“All the safety gear, combined with the heat and the noise from the engines on a moving ship, was very overwhelming,” she said.

Their results showed that scrubbers reduce sulfur dioxide emissions by 97 percent, putting heavy fuel oil on par with low-sulfur fuels according to that measure. The researchers saw similar trends for emissions of other pollutants like carbon monoxide and nitrous oxide.

In addition, they tested washwater samples for more than 60 chemical parameters, including nitrogen, phosphorus, polycyclic aromatic hydrocarbons, and 23 metals.

The concentrations of chemicals regulated by the IMO were far below the organization’s requirements. For unregulated chemicals, the researchers compared the concentrations to the strictest limits for industrial effluents from the U.S. Environmental Protection Agency and European Union.

Most chemical concentrations were at least an order of magnitude below these requirements.

In addition, since washwater is diluted thousands of times as it is dispersed by a moving vessel, the concentrations of such chemicals would be even lower in the open ocean.

These findings suggest that the use of scrubbers with heavy fuel oil can be considered as equal to or more environmentally friendly than low-sulfur fuels across many of the impact categories the researchers studied.

“This study demonstrates the scientific complexity of the waste stream of scrubbers. Having finally conducted a multiyear, comprehensive, and peer-reviewed study, commonly held fears and assumptions are now put to rest,” said Scott Bergeron, managing director at Oldendorff Carriers and co-author of the study.

“This first-of-its-kind study on a well-to-wake basis provides very valuable input to ongoing discussion at the IMO,” said Thomas Klenum, executive vice president of innovation and regulatory affairs at the Liberian Registry, emphasizing the need “for regulatory decisions to be made based on scientific studies providing factual data and conclusions.”

Ultimately, this study shows the importance of incorporating lifecycle assessments into future environmental impact reduction policies, Stathatou said.

“There is all this discussion about switching to alternative fuels in the future, but how green are these fuels? We must do our due diligence to compare them equally with existing solutions to see the costs and benefits,” she concluded.

In addition to Georgia Tech and MIT, Mario Tsezos' team from Naias Labs in Greece contributed significantly to the research. This study was supported in part by Oldendorff Carriers. 

- Written by Adam Zewe, MIT News Office

Many communities rely on insights from computer-based models and simulations. This week, a nest of Georgia Tech experts are swarming an international conference to present their latest advancements in these tools, which offer solutions to pressing challenges in science and engineering.

Students and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.

At CSE25, the School of CSE researchers are presenting papers that apply computing approaches to varying fields, including:                   

• Experiment designs to accelerate the discovery of material properties
• Machine learning approaches to model and predict weather forecasting and coastal flooding
• Virtual models that replicate subsurface geological formations used to store captured carbon dioxide
• Optimizing systems for imaging and optical chemistry
• Plasma physics during nuclear fusion reactions

[Related: GT CSE at SIAM CSE25 Interactive Graphic] 

“In CSE, researchers from different disciplines work together to develop new computational methods that we could not have developed alone,” said School of CSE Professor Edmond Chow. 

“These methods enable new science and engineering to be performed using computation.” 

CSE is a discipline dedicated to advancing computational techniques to study and analyze scientific and engineering systems. CSE complements theory and experimentation as modes of scientific discovery. 

Held every other year, CSE25 is the primary conference for the SIAM Activity Group on Computational Science and Engineering (SIAG CSE). School of CSE faculty serve in key roles in leading the group and preparing for the conference.

In December, SIAG CSE members elected Chow to a two-year term as the group’s vice chair. This election comes after Chow completed a term as the SIAG CSE program director. 

School of CSE Associate Professor Elizabeth Cherry has co-chaired the CSE25 organizing committee since the last conference in 2023. Later that year, SIAM members reelected Cherry to a second, three-year term as a council member at large. 

At Georgia Tech, Chow serves as the associate chair of the School of CSE. Cherry, who recently became the associate dean for graduate education of the College of Computing, continues as the director of CSE programs. 

“With our strong emphasis on developing and applying computational tools and techniques to solve real-world problems, researchers in the School of CSE are well positioned to serve as leaders in computational science and engineering both within Georgia Tech and in the broader professional community,” Cherry said. 

Georgia Tech’s School of CSE was first organized as a division in 2005, becoming one of the world’s first academic departments devoted to the discipline. The division reorganized as a school in 2010 after establishing the flagship CSE Ph.D. and M.S. programs, hiring nine faculty members, and attaining substantial research funding.

Ten School of CSE faculty members are presenting research at CSE25, representing one-third of the School’s faculty body. Of the 23 accepted papers written by Georgia Tech researchers, 15 originate from School of CSE authors.

The list of School of CSE researchers, paper titles, and abstracts includes:
Bayesian Optimal Design Accelerates Discovery of Material Properties from Bubble Dynamics
Postdoctoral Fellow Tianyi Chu, Joseph Beckett, Bachir Abeid, and Jonathan Estrada (University of Michigan), Assistant Professor Spencer Bryngelson
[Abstract]

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Ph.D. student Phillip Si, Assistant Professor Peng Chen
[Abstract]

A Goal-Oriented Quadratic Latent Dynamic Network Surrogate Model for Parameterized Systems
Yuhang Li, Stefan Henneking, Omar Ghattas (University of Texas at Austin), Assistant Professor Peng Chen
[Abstract]

Posterior Covariance Structures in Gaussian Processes
Yuanzhe Xi (Emory University), Difeng Cai (Southern Methodist University), Professor Edmond Chow
[Abstract]

Robust Digital Twin for Geological Carbon Storage
Professor Felix Herrmann, Ph.D. student Abhinav Gahlot, alumnus Rafael Orozco (Ph.D. CSE-CSE 2024), alumnus Ziyi (Francis) Yin (Ph.D. CSE-CSE 2024), and Ph.D. candidate Grant Bruer
[Abstract]

Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models
Rafael Orozco, Ph.D. student Tuna Erdinc, alumnus Mathias Louboutin (Ph.D. CS-CSE 2020), and Professor Felix Herrmann
[Abstract]

Optimizing Coupled Systems: Insights from Co-Design Imaging and Optical Chemistry
Assistant Professor Raphaël Pestourie, Wenchao Ma and Steven Johnson (MIT), Lu Lu (Yale University), Zin Lin (Virginia Tech)
[Abstract]

Multifidelity Linear Regression for Scientific Machine Learning from Scarce Data
Assistant Professor Elizabeth Qian, Ph.D. student Dayoung Kang, Vignesh Sella, Anirban Chaudhuri and Anirban Chaudhuri (University of Texas at Austin)
[Abstract]

LyapInf: Data-Driven Estimation of Stability Guarantees for Nonlinear Dynamical Systems
Ph.D. candidate Tomoki Koike and Assistant Professor Elizabeth Qian
[Abstract]

The Information Geometric Regularization of the Euler Equation
Alumnus Ruijia Cao (B.S. CS 2024), Assistant Professor Florian Schäfer
[Abstract]

Maximum Likelihood Discretization of the Transport Equation
Ph.D. student Brook Eyob, Assistant Professor Florian Schäfer
[Abstract]

Intelligent Attractors for Singularly Perturbed Dynamical Systems
Daniel A. Serino (Los Alamos National Laboratory), Allen Alvarez Loya (University of Colorado Boulder), Joshua W. Burby, Ioannis G. Kevrekidis (Johns Hopkins University), Assistant Professor Qi Tang (Session Co-Organizer)
[Abstract]

Accurate Discretizations and Efficient AMG Solvers for Extremely Anisotropic Diffusion Via Hyperbolic Operators
Golo Wimmer, Ben Southworth, Xianzhu Tang (LANL), Assistant Professor Qi Tang 
[Abstract]

Randomized Linear Algebra for Problems in Graph Analytics
Professor Rich Vuduc
[Abstract]

Improving Spgemm Performance Through Reordering and Cluster-Wise Computation
Assistant Professor Helen Xu
[Abstract]