Tech AI and CSSE Partner to Bridge Academia and Industry for AI Innovation
In a major step forward for deploying artificial intelligence (AI) in industry, Georgia Tech’s newly established AI hub, Tech AI, has partnered with the Center for Scientific Software Engineering (CSSE). This collaboration aims to bridge the gap between academia and industry by advancing scalable AI solutions in sectors such as energy, mobility, supply chains, healthcare, and services.
Building on the Foundation of Success
CSSE, founded in late 2021, was created to advance and support scientific research by applying modern software engineering practices, cutting-edge technologies, and modern tools to the development of scientific software within and outside Georgia Tech. CSSE is led by Alex Orso, professor and associate dean in the College of Computing, and Jeff Young, a principal scientist at Georgia Tech. The Center's team boasts over 60 years of combined experience, with engineers from companies such as Microsoft, Amazon, and various startups, working under the supervision of the Center’s Head of Engineering, Dave Brownell. Their focus is on turning cutting-edge research into real-world products.
“Software engineering is about much more than just writing code,” Orso explained. “It’s also about specifying, designing, testing, deploying, and maintaining these systems.”
A Partnership to Support AI Research and Innovation
Through this collaboration, CSSE’s expertise will be integrated into Tech AI to create a software engineering division that can support AI engineering and also create new career opportunities for students and researchers.
Pascal Van Hentenryck, the A. Russell Chandler III Chair and professor in the H. Milton Stewart School of Industrial Engineering (ISyE) and director of both the NSF AI Research Institute for Advances in Optimization (AI4OPT) and Tech AI, highlighted the potential of this partnership.
“We are impressed with the technology and talent within CSSE,” Van Hentenryck said. “This partnership allows us to leverage an existing, highly skilled engineering team rather than building one from scratch. It’s a unique opportunity to build the engineering pillar of Tech AI and push our AI initiatives forward, moving from pilots to products.”
“Joining our forces and having a professional engineering resource within Tech AI will give Georgia Tech a great competitive advantage over other AI initiatives,” Orso added.
One of the first projects under this collaboration focuses on AI in energy, particularly in developing new-generation, AI-driven, market clearing optimization and real-time risk assessment. Plans are also in place to pursue several additional projects, including the creation of an AI-powered search engine assistant, demonstrating the center’s ability to tackle complex, real-world problems.
This partnership is positioned to make a significant impact on applied AI research and innovation at Georgia Tech. By integrating modern software engineering practices, the collaboration will address key challenges in AI deployment, scalability, and sustainability, and translate AI research innovations into products with real societal impact.
“This is a match made in heaven,” Orso noted, reflecting on the collaboration’s alignment with Georgia Tech’s strategic goals to advance technology and improve human lives. Van Hentenryck added that “the collaboration is as much about creating new technologies as it is about educating the next generation of engineers.”
Promoting Open Source at Tech AI
A crucial element supporting the new Tech AI and CSSE venture is Georgia Tech’s Open Source Program Office (OSPO), a joint effort with the College of Computing, PACE, and the Georgia Tech Library. As an important hub of open-source knowledge, OSPO will provide education, training, and guidance on best practices for using and contributing to open-source AI frameworks.
“A large majority of the software driving our current accomplishments in AI research and development is built on a long history of open-source software and data sets, including frameworks like PyTorch and models like Meta’s LLaMA,” said Jeff Young, principal investigator at OSPO. “Understanding how we can best use and contribute to open-source AI is critical to our future success with Tech AI, and OSPO is well-suited to provide guidance, training, and expertise around these open-source tools, frameworks, and pipelines.”
Looking Ahead
As the partnership between Tech AI and CSSE evolves, both groups anticipate a future in which interdisciplinary research drives innovation. By integrating AI with real-world software engineering, the collaboration promises to create new opportunities for students, researchers, and Georgia Tech as a whole.
With a strong foundation, a talented team, and a clear vision, Tech AI and CSSE together are set to break new ground in AI and scientific research, propelling Georgia Tech to the forefront of technological advancement in the AI field.
About the Center for Scientific Software Engineering (CSSE)
The CSSE at Georgia Tech, supported by an $11 million grant from Schmidt Sciences, is one of four scientific software engineering centers within the Virtual Institute for Scientific Software (VISS). Its mission is to develop scalable, reliable, open-source software for scientific research, ensuring maintainability and effectiveness. Learn more at https://ssecenter.cc.gatech.edu.
About Georgia Tech’s Open Source Program Office (OSPO)
Georgia Tech’s OSPO supports the development of open-source research software across campus. Funded by a Sloan Foundation grant, OSPO provides community guidelines, training, and outreach to promote a thriving open-source ecosystem. Learn more at https://ospo.cc.gatech.edu.
About Tech AI
Tech AI is Georgia Tech’s AI hub, advancing AI through research, education, and responsible deployment. The hub focuses on AI solutions for real-world applications, preparing the next generation of AI leaders. Learn more at https://ai.gatech.edu.