CREATE-X, Georgia Tech’s premier entrepreneurship program, kicked off its 12th Startup Launch cohort this month with a record-breaking 137 student teams and 25 faculty and research teams — totaling 318 founders. The summer-long accelerator, known for turning ideas into real-world ventures, is once again positioning Georgia Tech as a national leader in invention and startup creation.

This year’s cohort spans a wide range of industries, including artificial intelligence, defense, healthcare, gaming, sustainability, media management, agriculture tech, fashion tech, education, and more. 

“These founders are in the messy middle and that's a beautiful place to be. There’s a lot of freedom in that,” said Margaret Weniger, director of Startup Launch. “We’re all going to be in this together. It's a safe space to try new things. It’s OK if it doesn't work out because what we want founders to learn is an entrepreneurial mindset and entrepreneurial spirit — something you take with you no matter what you do after this.”

Over the next 12 weeks, teams will validate ideas, build products, and acquire customers with the help of dedicated coaches, a robust founder community, and a network of mentors and alumni. 

Raghupathy "Siva" Sivakumar, Georgia Tech’s inaugural vice president of Commercialization and the faculty founder of CREATE-X, spoke about the core of CREATE-X and what it would take for founders to succeed.

“Startup Launch is not about Georgia Tech gaining from your success. We are here just for one reason, which is to make you successful,” he said. “You need to hold yourself accountable. You need to be ambitious in terms of how big a problem you solve. You need to be emphatic that the customer matters. The successful teams are 100% behind what's going to make the lives of customers easier and better.”

In 2014, CREATE-X was co-founded by Sivakumar, Steve McLaughlin(who is now the president of The Cooper Union for the Advancement of Science and Art), and other Georgia Tech faculty, including Ray Vito, Craig Forest, and Ravi Bellamkonda (who is now the executive vice president and provost of The Ohio State University). The program received its initial major philanthropic support from Chris Klaus, a Georgia Tech alumnus and tech entrepreneur, whose gift helped launch the initiative, and , played a key role in building out the program's maker courses. Over the years, CREATE-X has continued to grow, thanks largely to the philanthropic support of alumni and foundations who believe in its mission.

In the last decade, the program has produced over 650 startups, $2.4 billion in portfolio valuation, and had eight founders named to Forbes’ 30 Under 30. Wagner shared stories of past teams who pivoted dramatically — from a glucose-monitoring pillow to a sobriety app now valued at over $350 million, and from a camping gear delivery service to a billion-dollar logistics platform. 

“We don’t know which ideas will become the next unicorns,” Weniger said. “But we’re betting on you.”

At the kickoff event, McLaughlin and Klaus were honored for their contributions to Georgia Tech’s entrepreneurial ecosystem. McLaughlin encouraged the founders through the story of CREATE-X.

“From the very beginning, we challenged CREATE-X to be a startup as well. To this day, CREATE-X has raised its own money to do this. It's a reminder of what it takes to make this happen,” he said. “This is the most difficult challenge you have ever taken. I think at the time, we were probably skeptical about whether students could do it. Now we know that you can.”

Georgia Tech President Ángel Cabrera reflected on the impact of McLaughlin, Klaus, and others who saw the vision of Georgia Tech being an entrepreneurial campus. 

“Ten years ago, this was a crazy, absurd idea,” he said. “Now, 150 teams are working on their own crazy ideas. Even though sometimes there's this idea of the entrepreneur as a loner, what you learn very quickly is entrepreneurship is a team sport.”

Klaus spoke about people collaborating and helping solve problems together. 

“I'm especially inspired by Georgia with its complex history,” he said. “It continues to be a place where peace can be envisioned and pursued. I think this recognition strengthens my commitment to building bridges, resolving conflict, and lifting up voices that seek unity. As you build your businesses, you'll be building collaborations and partnerships, and hopefully make the world a better place.”

As the summer progresses, founders will be guided by CREATE-X’s core values: experiential education, entrepreneurial confidence, and real-world impact. Weniger encouraged teams to “show up uncomfortable” and “leverage every single resource” available.

The journey will culminate at Demo Day, where teams will showcase their startups to investors, industry leaders, and the broader community. The event is free, open to the public, and promises a front-row seat to the next wave of Georgia Tech-born innovation.

Demo Day 2025 will take place on Thursday, Aug. 28, at 5 p.m., in the Exhibition Hall. For more information and to RSVP, visit the CREATE-X Demo Day Eventbrite.

You’re managing the Texas Panhandle’s power grid. Heavy winds are blowing, and a worn-out utility pole ignites a fire by crashing onto a transmission line. Luckily, the fire department arrives quickly, putting out the fire before it spreads to nearby cities. But the same thing may happen again with gusty conditions predicted for the next 24 hours. Should you shut off miles of power lines to reduce that risk, causing outages for thousands of residents? Should you add batteries to the grid or move some power lines underground to lessen the impact of future fires? That sounds useful, but paying for these upgrades would require raising electricity rates.

Players of the Current Crisis video game are pondering these questions, similar to professional grid managers during the Texas Smokehouse Creek fire in 2024. But the players did not purchase Current Crisis at a run-of-the-mill gaming store. They might have played it at Georgia Tech’s Dataseum, which featured the game in a recent exhibition. Or they might have helped develop it in weekly meetings with Daniel Molzahn, associate professor in the School of Electrical and Computer Engineering and EPIcenter initiative lead. 

“Current Crisis started as a computer simulation I programmed in Summer 2020 for a senior-level course I taught that fall,” says Molzahn. “My students had to dispatch crews to maintain or repair a simplified model of the Georgia power grid. In the middle of the Covid-19 pandemic, each dispatch had a risk of infection and quarantine, which meant losing the crew for the rest of that round. The students had a fixed budget to balance two competing goals: operating a power system with minimal outages and keeping the repair crews healthy.” 

The class project was popular, and its scope began to grow. Molzahn proposed turning his simulation into a video game in a July 2021 grant application to the National Science Foundation. He received the five-year award that fall and launched his “Vertically Integrated Project” on power grid gaming the following spring. It soon attracted about 35 students per semester, from sophomores to those pursuing graduate degrees in various disciplines. Most students stay for three to four semesters.

Tristan Ziegler joined the VIP as a computational media sophomore in Spring 2022 — and still works on it three years later as a professional programmer. “I found the project by searching for ‘game’ on the VIP website,” says Ziegler, who graduated in 2024. “It offered much more freedom than traditional classes but still allowed me to earn credits and grades, unlike a student organization where you volunteer your time.”

The students quickly discovered the benefits of working toward a shared goal in smaller groups, focused on coding, grid modeling, graphic design, or artistic creativity. Some volunteered to lead initiatives, such as organizing the Dataseum exhibition or the 2025 Seth Bonder summer camps, where they will teach high schoolers the basics of game programming. 

Another long-term member of the VIP team is Ryan Piansky, a doctoral student, who studies the resilience of power grids to wildfires. He combines well-known engineering tools — algorithms for finding a mathematically optimal problem solution — with historical wildfire data to evaluate grid management decisions.

“I have examined if policies based on established engineering principles help the people who need the most help, reduce the risk of outages broadly across the whole grid, and optimally allocate limited resources,” explains Piansky, who works in Molzahn's research lab. “To do that, I combine power grid models with realistic wildfire simulations to assess if those policies would likely generate desirable outcomes in a range of plausible scenarios.”

The VIP work on grid modeling has informed Piansky’s research, but the climate models he uses to mimic the spread of wildfires are too complex for a fast-moving video game. That’s why he has helped the students develop simplified versions of these models. Humidity and vegetation, for example, influence both real fires and those popping up in Current Crisis. 

Piansky’s research is part of Molzahn’s long-term goal: developing computer tools that help professional grid managers improve the grid’s resilience to natural disasters — from pandemics and wildfires to hurricanes, heat waves and floods. 

“We plan to record the choices made by Current Crisis players in crowdsourced datasets that will support our research,” says Molzahn. “By using these datasets to train machine-learning algorithms, we can harness the power of AI to develop better disaster response policies.” (The European Space Agency uses a similar gamification strategy to map moon craters.) 

The project’s benefits go well beyond these research contributions. Its educational value includes experience working in multidisciplinary teams of students at different levels and leadership development. Molzahn also hopes the game will help build public acceptance of disruptive actions during real disasters. 

“Recognizing the tradeoffs inherent in grid management is important, whether it’s understanding why power shutoffs reduce fire risks or why service restorations are time-consuming,” says Molzahn. “This may also generate broader public support for electricity rate increases and tax allocations to pay for infrastructure hardening.”

Written by: Silke Schmidt

The Energy Policy and Innovation Center (EPIcenter) at Georgia Tech has announced the selection of six students for its inaugural Summer Research Program. The doctoral candidates, pursuing degrees in electrical and computer engineering, economics, computer science, and public policy, will be on campus working full-time on their dissertation research throughout the summer semester and present their findings in a final showcase. 

EPIcenter will provide a full stipend and tuition for the 2025 summer semester to support the students.

“I look forward to hosting a fantastic cohort of early-career energy scholars this summer,” said Laura Taylor, EPIcenter’s director. “The summer research program will not only help the students advance their research while engaging in interdisciplinary dialogue but also offers professional development opportunities to position them for a strong start to their careers.”

The students will work with EPIcenter staff and be provided with on-campus workshops on written and oral communications. Biweekly meetings over the summer will offer the students an opportunity to share their work, progress, and ideas with each other and the EPIcenter faculty affiliates. In addition, the students will have the opportunity to engage with programs and distinguished guests of the center. 

For students interested in presenting their research at a conference, EPIcenter also will provide travel grants of up to $600 pursuant to having their paper/presentation posted on the EPIcenter website.

"I applied to the Summer Research Program because its structure and community aligned perfectly with my summer plan on dissertation work in energy policy,” said Yifan Liu. “I aim to finalize key dissertation chapters and engage closely with peers and mentors to prepare me for the job market." 

The program offers students an opportunity to promote their work through the EPIcenter communication channels including the website, news feeds, blogs, and the SEI newsletter.

“I am very excited to spend my summer at EPIcenter exploring how battery storage entry affects competition in the electricity market,” said Maghfira “Afi” Ramadhani, one of the student affiliates selected for the summer research program. “Specifically, I look at how the rollout of battery storage in the Texas electricity market impacts renewable curtailment, fossil-fuel generator markup, and generator entry and exit.”

With a variety of backgrounds and perspectives on energy, each of the students in the summer program brings something unique to EPIcenter.

La’Darius Thomas: “My project explores the potential of peer-to-peer energy trading systems in promoting decentralized, sustainable energy solutions. I aim to contribute to the development of energy models that empower individuals and communities to directly participate in electricity markets.”

Niraj Palsule: “I intend to gain interdisciplinary insights interfacing energy transition technology and policy developments by participating in the EPIcenter Summer Research Program.”

John Kim: “I believe the EPIcenter Summer Research Program will deepen my investigation of how environmental hazards disproportionately affect vulnerable communities through research on power outage impacts and lead contamination. This summer, I hope to refine my analysis and complete research on the socioeconomic dimensions of power reliability and environmental resilience.”

Mehmet “Akif” Aglar: "I applied to the EPIcenter Summer Research Program because it offers the chance to work alongside and learn from a community of highly qualified researchers across various fields. I believe the opportunity to present my work, receive feedback, and benefit from the structure the program provides will be invaluable for advancing my research."

About EPICenter

The mission of the Energy Policy and Innovation Center is to conduct rigorous studies and deliver high impact insights that address critical regional, national, and global energy issues from a Southeastern U.S. perspective. EPICenter is pioneering a holistic approach that calls upon multidisciplinary expertise to engage the public on the issues that emerge as the energy transformation unfolds. The center operates within Georgia Tech’s Strategic Energy Institute.

A Georgia Tech doctoral student’s dissertation could help physicians diagnose neuropsychiatric disorders, including schizophrenia, autism, and Alzheimer’s disease. The new approach leverages data science and algorithms instead of relying on traditional methods like cognitive tests and image scans.

Ph.D. candidate Md Abdur Rahaman’s dissertation studies brain data to understand how changes in brain activity shape behavior. 

Computational tools Rahaman developed for his dissertation look for informative patterns between the brain and behavior. Successful tests of his algorithms show promise to help doctors diagnose mental health disorders and design individualized treatment plans for patients.

“I've always been fascinated by the human brain and how it defines who we are,” Rahaman said. 

“The fact that so many people silently suffer from neuropsychiatric disorders, while our understanding of the brain remains limited, inspired me to develop tools that bring greater clarity to this complexity and offer hope through more compassionate, data-driven care.”

Rahaman’s dissertation introduces a framework focusing on granular factoring. This computing technique stratifies brain data into smaller, localized subgroups, making it easier for computers and researchers to study data and find meaningful patterns.

Granular factoring overcomes the challenges of size and heterogeneity in neurological data science. Brain data is obtained from neuroimaging, genomics, behavioral datasets, and other sources. The large size of each source makes it a challenge to study them individually, let alone analyze them simultaneously, to find hidden inferences. 

Rahaman’s research allows researchers and physicians to move past one-size-fits-all approaches. Instead of manually reviewing tests and scans, algorithms look for patterns and biomarkers in the subgroups that otherwise go undetected, especially ones that indicate neuropsychiatric disorders.

“My dissertation advances the frontiers of computational neuroscience by introducing scalable and interpretable models that navigate brain heterogeneity to reveal how neural dynamics shape behavior,” Rahaman said. 

“By uncovering subgroup-specific patterns, this work opens new directions for understanding brain function and enables more precise, personalized approaches to mental health care.”

Rahaman defended his dissertation on April 14, the final step in completing his Ph.D. in computational science and engineering. He will graduate on May 1 at Georgia Tech’s Ph.D. Commencement. 

After walking across the stage at McCamish Pavilion, Rahaman’s next step in his career is to go to Amazon, where he will work in the generative artificial intelligence (AI) field. 

Graduating from Georgia Tech is the summit of an educational trek spanning over a decade. Rahaman hails from Bangladesh where he graduated from Chittagong University of Engineering and Technology in 2013. He attained his master’s from the University of New Mexico in 2019 before starting at Georgia Tech. 

“Munna is an amazingly creative researcher,” said Vince Calhoun, Rahman’s advisor. Calhoun is the founding director of the Translational Research in Neuroimaging and Data Science Center (TReNDS).

TReNDS is a tri-institutional center spanning Georgia Tech, Georgia State University, and Emory University that develops analytic approaches and neuroinformatic tools. The center aims to translate the approaches into biomarkers that address areas of brain health and disease.    

“His work is moving the needle in our ability to leverage multiple sources of complex biological data to improve understanding of neuropsychiatric disorders that have a huge impact on an individual’s livelihood,” said Calhoun.

A Georgia Tech alum’s dissertation introduced ways to make artificial intelligence (AI) more accessible, interpretable, and accountable. Although it’s been a year since his doctoral defense, Zijie (Jay) Wang’s (Ph.D. ML-CSE 2024) work continues to resonate with researchers.

Wang is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI). The award recognizes Wang for his lifelong work on democratizing human-centered AI.

“Throughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,” said Wang, now a safety researcher at OpenAI.

“My work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.”

[Related: Georgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025]

Wang’s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.

Wang’s most influential projects formed the core of his dissertation. These included:

• CNN Explainer: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.
• DiffusionDB: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.
• GAM Changer: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.
• GAM Coach: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval.
• Farsight: a tool that alerts developers when they write prompts in large language models that could be harmful and misused.  

“I feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,” said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor Polo Chau.

“This recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.”

Like Wang, Chau advised Georgia Tech alumnus Fred Hohman (Ph.D. CSE 2020). Hohman won the ACM SIGCHI Outstanding Dissertation Award in 2022.

Chau’s group synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models. 

Chau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.

Wang is one of five recipients of this year’s award to be presented at the 2025 Conference on Human Factors in Computing Systems (CHI 2025). The conference occurs April 25-May 1 in Yokohama, Japan. 

SIGCHI is the world’s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.

Wang’s outstanding dissertation award is the latest recognition of a career decorated with achievement.

Months after graduating from Georgia Tech, Forbes named Wang to its 30 Under 30 in Science for 2025 for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.

While a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the Apple Scholars in AI/ML Ph.D. Fellowship in 2023 and was in the 2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program.

Along with the CHI award, Wang’s dissertation earned him awards this year at banquets across campus. The Georgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award. He also received the College of Computing’s Outstanding Dissertation Award.

“Georgia Tech attracts many great minds, and I’m glad that some, like Jay, chose to join our group,” Chau said. “It has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.”

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]

The 2025 Southeastern Energy Conference, Georgia Tech’s annual student-led energy and sustainability conference, took place from Feb. 28 to March 1, 2025. Organized by the Energy Club at Georgia Tech, the conference welcomed over 100 attendees, including industry leaders, policymakers, researchers, and students, fostering dynamic discussions on the future of energy. The theme for this year’s conference, "Going Global: Energy’s Place on the World Stage," highlighted the international nature of energy challenges and solutions, emphasizing collaboration across borders.

The event kicked off with a keynote address from Hon. John Tien, who provided thought-provoking insights into the evolving energy landscape. Following the keynote, the first panel of the day, "The Ukraine Energy War: Lessons in Energy Security," featured expert analysis from Anna Mikulsa of the IDA Science and Technology Policy Institute and Gabriel Collins of Rice University’s Baker Institute. The session was moderated by Georgia Tech student Grant Espy. This was followed by a discussion on the role of nuclear energy globally, where Seth Grae, president and CEO of Lightbridge Corporation, and CJ Fong, vice president of Regulatory Affairs at Blue Energy, shared their perspectives, moderated by Anna Schafer, a student at Georgia Tech.

Throughout the day, attendees had the opportunity to engage with representatives from 10 local and regional energy companies through the Industry Showcase. Companies such as GE Vernova, Georgia Power, Kimley-Horn, and the Georgia Cleantech Innovation Hub were present, providing valuable networking and career development opportunities for students and professionals alike. The day concluded with an engaging panel on "The Potential of Clean Hydrogen," featuring insights from industry leaders including Comas Haynes of Georgia Tech's Strategic Energy Institute, Hayley Ryan of ExxonMobil, Luis Alcoser of Chevron Technology Ventures, and Scott McWhorter of the Southeast Hydrogen Energy Alliance, moderated by Eli Acree, a student at Georgia Tech.

The second day of the conference opened with a keynote speech from Tim Lieuwen, executive vice president for Research at Georgia Tech, who laid out what a carbon-neutral future could truly look like in energy. The "Cybersecurity for Energy Systems" panel brought together Seymour E. Goodman of Georgia Tech, Jake Braun of the University of Chicago, Juan Villarreal of Villarreal Energy, and Forrest Shriver of Sentinel Devices to discuss the challenges and solutions in securing energy infrastructure. Following that, the "Applications of Solar Microgrids" panel moderated by John Blankenhorn, a Ph.D. candidate at Georgia Tech, featured expert perspectives from Letian Dou of Purdue University, Ben Ollis of Oak Ridge National Laboratory, and Raymond Hill of Emory University’s Goizueta Business School.

One of the standout moments of the conference was the Student Symposium, where seven student researchers had the opportunity to present their work, competing for $500 in prize money. Projects explored topics ranging from photocatalysts to heat-driven desalination to thermal batteries for buildings.

The final panel of the event, "Scaled Sustainable Development," moderated by Conference Chair Sam Woolsey, a student at Georgia Tech, featured Jonathan Elkind of Columbia University’s Center on Global Energy Policy, Miguel Granier of the Cox Cleantech Accelerator, and Hon. Jobeth Lillian Coleby-Davis, Minister of Energy & Transport for the Government of the Bahamas.

Faculty Advisor Dan Molzahn also praised the conference, stating, "I've been incredibly impressed by the student organizers in pulling together such a remarkable and well-executed event. Given all the change occurring in the world today around energy, the students' foresight to focus on this topic by bringing in a broad range of experts was a huge benefit to the Georgia Tech community."

Reflecting on the success of the event, Sam Woolsey shared, "I was honored to serve as Energy Club's 2025 Conference Chair and to see the conference so positively received. It was a pleasure to see the ways this year's conference encouraged Georgia Tech engineers to get out of their comfort zone and discuss the policy and international affairs of energy."

The 11th annual Southeastern Energy Conference set a high standard for future student-led initiatives in energy and sustainability at Georgia Tech, fostering meaningful discussions and connections that will continue shaping the field. With a diverse lineup of experts, engaging panels, and invaluable networking opportunities, this event demonstrated Georgia Tech’s leadership in fostering innovative discussions on global energy challenges. The Energy Club extends its heartfelt thanks to all speakers, panelists, industry representatives, and attendees for making this conference a success. Stay tuned for future events and continued conversations on the evolving energy landscape!

Written by: Energy Conference Committee Members:  Braden Queen, Eli Acree, Sam Woolsey, Anna Schafer, Grant Espy, John Blankenhorn

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.

[Related: University of South Florida Researchers Track Flooding in Coastal Communities During Hurricanes Helene and Milton]

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.”

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]