- Seoul National University of Science and Technology (SeoulTech) adopts the Theta EdgeCloud Hybrid platform in its BrAIn Lab.
- The collaboration adds SeoulTech to Theta’s global academic partner network.
- The BrAIn Lab uses EdgeCloud resources to advance research in neuroscience, AI, and medical technology.
- Theta EdgeCloud provides access to a mix of community-run and enterprise GPUs, increasing research speed and flexibility.
- SeoulTech focuses on technology-driven education and research, specializing in Artificial Intelligence and biomedical engineering.
Seoul National University of Science and Technology (SeoulTech) has begun using the Theta EdgeCloud Hybrid platform in its BrAIn Lab. The university, located in South Korea, joins Theta’s network of academic partners to support research at the intersection of neuroscience, biomedical engineering, and artificial intelligence.
The BrAIn Lab at SeoulTech is led by Assistant Professor Seong-Eun Kim. The lab focuses on adaptive signal processing, biometrics, and neural engineering. Its research involves fields such as EEG (electroencephalogram) analysis, brain-computer interface systems, and secure biometric methods like fingerprint anti-spoofing.
According to Prof. Seong-Eun Kim, the Theta EdgeCloud Hybrid platform, which uses both community-powered GPUs and enterprise GPUs like the NVIDIA A100s and H100s, enables the lab to conduct diverse experiments. “Theta EdgeCloud Hybrid gives our lab the flexibility to run diverse experiments across neuroscience, neural signal processing, neural engineering, and biometrics: from lightweight anomaly detection to large-scale deep learning models,” Kim stated. The platform helps researchers avoid delays often caused by traditional cloud infrastructure limits.
Mitch Liu, CEO and Co-Founder of Theta Labs, said, “We’re thrilled to add SeoulTech’s BrAIn Lab to Theta’s global academic partner network… Theta EdgeCloud removes infrastructure bottlenecks and empowers SeoulTech to lead in brain-inspired AI, neural signal processing, and biomedical innovation.” The Theta EdgeCloud Hybrid platform combines community GPU resources (NVIDIA’s 30, 40, and 50 series), advanced enterprise GPUs, and AI hardware from AWS to offer scalable computing for research.
The BrAIn Lab also develops medical devices, such as systems to detect abnormal lung conditions with digital stethoscopes. Its work includes machine learning, deep learning, and detecting anomalies in medical data.
Founded in 1910, SeoulTech specializes in engineering and applied sciences. The university has over 11,000 students and is known for practical education and high-impact research in technology, including advanced manufacturing and healthcare AI.
Recent achievements from the BrAIn Lab include publications at Interspeech 2025, CHI 2025, and the IEEE Transactions on Industrial Informatics, as well as a Best Paper Award from the Institute of Electronics Engineers of Korea.
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