College of Engineering; School of Electrical and Computer Engineering

Campus Connection Inspires Mother and Son to Find Purpose and Passion

admin — Fri, 09 May 2025 14:00:41 +0000

Campus Connection Inspires Mother and Son to Find Purpose and Passion admin Fri, 05/09/2025 - 10:00

When Andrew Rush started at Georgia Tech last fall, he already had a sense of direction as soon as he set foot on campus. His mother, Holly Rush, is a longtime Georgia Tech staff employee, and this exposure influenced Andrew to study at the Institute.

We caught up with Holly and Andrew to learn more about what makes Georgia Tech so appealing to students and employees alike, and the unique perspective their mother-son relationship brings to campus.

How long have you worked at Georgia Tech? What do you do as a financial operations assistant director?

[Holly] I have been at Georgia Tech since 2000 and joined the College of Computing in early 2005. Ironically and very memorably, I found out I was expecting Andrew right after I started in Computing. I still recall being very nervous about telling my new boss that I was expecting, but she was happy for me and very accommodating. I went to the bookstore right after our meeting and bought Andrew his first Georgia Tech t-shirt, which I plan to pass down to him one day.

Being part of the College for this long, I have watched it grow from having divisions to schools. I began as a financial administrator and steadily grew into my current role as assistant director of financial operations for the School of Computational Science and Engineering (CSE). In my current role, I oversee financial operations for the School of CSE, including budgeting, forecasting, financial reporting, and ensuring compliance with Institute and sponsor guidelines. I work closely with faculty, staff, and leadership to support our financial programs and other initiatives. It is a rewarding role that allows me to contribute to the success of the college while watching it grow, just like my own journey here.

How much influence did your mom’s work at Georgia Tech have on your interest in coming here for college?

[Andrew] It definitely played a role. I grew up a fan of all things Georgia Tech, so this was always my dream school. When I got in, all the stars aligned. Tech was my dream school, my mom worked there, and I was close to home. It was perfect.

What is it about Georgia Tech that has kept you here for more than two decades?

[Holly] From the beginning, I have always felt that my work contributes to something bigger – supporting faculty who offer world-class education and innovation. I have had the opportunity to grow professionally and work alongside very talented colleagues.

How has your first year gone? What do you like best about attending Georgia Tech?

[Andrew] Overwhelming. I wasn’t sure what to expect from attending college. The college lifestyle was a big change for me, and I had to learn how to navigate it. I knew Georgia Tech would be challenging, and I thought I was ready for it, but it was still harder than I expected. However, I managed to get through my first year with great resilience and finish stronger than I started.

What do you each like best about being on campus together?

[Holly] I enjoy being nearby and getting to share this chapter of his life. There are many times that Andrew is focused on his studies or his fraternity commitments, so he doesn’t get to come home as often as I would like. But with me being on campus, we can grab a quick lunch or have a short visit. I also like knowing he is a short walk from my office if I want to drop off a homemade meal. Even when we are both too busy for a visit, sometimes I find myself looking out the window across campus. Just seeing the top of a building where he is attending class gives me comfort knowing he is there.

[Andrew] Bouncing off of what my mom said, it has been great. It is comforting that I can go to her office just to say “hey,” and not drive all the way home. It’s nice that when I’m having a rough patch with school, she drops by to offer some reassurance.

What has been the key to reaching the milestones of a fulfilling career and witnessing your children achieve their goals?

[Holly] The key to reaching these milestones has really been maintaining a healthy work-life balance. Georgia Tech has given me the space and support to grow professionally while also being present as a parent. That balance has been everything. It allowed me to build a fulfilling career that I’m proud of, while also being there to watch my children grow and pursue their dreams, including Andrew becoming a Georgia Tech student himself. Being able to do both, without having to choose one over the other, has truly been the foundation of my success and happiness.

What do you look forward to in the next few years studying computer engineering at Georgia Tech? And after graduating?

[Andrew] I am most excited for my threads and starting my career. I have learned so much that I am already applying my studies. I recently used Raspberry Pi to build a circuit that enabled a motion detector to work and set off an LED indicating motion. This was a part of my discovery class for my major, and it was the most fun I have had at Georgia Tech so far. It was very new and exciting to learn about, and it motivates me to put my skills to work.

After graduating, I want to work in cybersecurity, possibly as a hardware security engineer for the government or even my own startup. The project I mentioned opened my eyes to my threads and really motivated me to continue in this field.

Rush is one of more than 150 College of Computing staff members who support the College and its five schools. Staff members are the backbone of the College. From managing operations to providing essential services, their dedication ensures the seamless delivery of education, research, and community support, making them integral to the College's success.

Summary sentence

Holly Rush has worked at Georgia Tech since 2000. Her employment influenced her son, Andrew, to attend the Institute and study computer engineering.

Summary

We caught up with Holly and Andrew to learn more about what makes Georgia Tech so appealing to students and employees alike, and the unique perspective their mother-son relationship brings to campus.

Dateline

Thu, 05/08/2025 - 12:00

Contact

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

Keywords

College of Computing

college of engineering

School of Computational Science and Engineering

College of Engineering; School of Electrical and Computer Engineering

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The Whistle

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Georgia Tech News Center

Mother's Day

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Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites

admin — Mon, 13 May 2024 14:38:41 +0000

Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites admin Mon, 05/13/2024 - 10:38

A new machine learning method could help engineers detect leaks in underground reservoirs earlier, mitigating risks associated with geological carbon storage (GCS). Further study could advance machine learning capabilities while improving safety and efficiency of GCS.

The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more practical and studying the behavior of carbon dioxide plumes easier.

The 2023 Conference on Neural Information Processing Systems (NeurIPS 2023) accepted the group’s paper for presentation. They presented their study on Dec. 16 at the conference’s workshop on Tackling Climate Change with Machine Learning.

“One area where our group excels is that we care about realism in our simulations,” said Professor Felix Herrmann. “We worked on a real-sized setting with the complexities one would experience when working in real-life scenarios to understand the dynamics of carbon dioxide plumes.”

CNFs are generative models that use data to produce images. They can also fill in the blanks by making predictions to complete an image despite missing or noisy data. This functionality is ideal for this application because data streaming from GCS reservoirs are often noisy, meaning it’s incomplete, outdated, or unstructured data.

The group found in 36 test samples that CNFs could infer scenarios with and without leakage using seismic data. In simulations with leakage, the models generated images that were 96% similar to ground truths. CNFs further supported this by producing images 97% comparable to ground truths in cases with no leakage.

This CNF-based method also improves current techniques that struggle to provide accurate information on the spatial extent of leakage. Conditioning CNFs to samples that change over time allows it to describe and predict the behavior of carbon dioxide plumes.

This study is part of the group’s broader effort to produce digital twins for seismic monitoring of underground storage. A digital twin is a virtual model of a physical object. Digital twins are commonplace in manufacturing, healthcare, environmental monitoring, and other industries.

“There are very few digital twins in earth sciences, especially based on machine learning,” Herrmann explained. “This paper is just a prelude to building an uncertainty aware digital twin for geological carbon storage.”

Herrmann holds joint appointments in the Schools of Earth and Atmospheric Sciences (EAS), Electrical and Computer Engineering, and Computational Science and Engineering (CSE).

School of EAS Ph.D. student Abhinov Prakash Gahlot is the paper’s first author. Ting-Ying (Rosen) Yu (B.S. ECE 2023) started the research as an undergraduate group member. School of CSE Ph.D. students Huseyin Tuna Erdinc, Rafael Orozco, and Ziyi (Francis) Yin co-authored with Gahlot and Herrmann.

NeurIPS 2023 took place Dec. 10-16 in New Orleans. Occurring annually, it is one of the largest conferences in the world dedicated to machine learning.

Over 130 Georgia Tech researchers presented more than 60 papers and posters at NeurIPS 2023. One-third of CSE’s faculty represented the School at the conference. Along with Herrmann, these faculty included Ümit Çatalyürek, Polo Chau, Bo Dai, Srijan Kumar, Yunan Luo, Anqi Wu, and Chao Zhang.

“In the field of geophysics, inverse problems and statistical solutions of these problems are known, but no one has been able to characterize these statistics in a realistic way,” Herrmann said.

“That’s where these machine learning techniques come into play, and we can do things now that you could never do before.”

Summary sentence

Summary

Dateline

Wed, 12/20/2023 - 12:00

Contact

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

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