Ngan (Nora) Huynh
M.S. Computer Science · Georgia Southern University
Ngan (Nora) Huynh
M.S. Computer Science · Georgia Southern University
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M.S. Computer Science · Georgia Southern University
Passionately curious about the full arc from hardware to intelligence, from embedded firmware and real-time systems to deep learning and affective computing. My research explores how machines can transparently recognize human emotion, and how algorithms navigate complex search spaces.
About Me
About Me
I am a graduate student in Computer Science at Georgia Southern University, working under the direction of Dr. Felix Hamza-Lup. My thesis research, TRACE (Transparent Recognition of Affective Cues via Expression), develops computational methods for automatic microexpression detection and emotion recognition using deep learning and computer vision.
Currently, I am also working as an Embedded Software/Firmware Engineer Intern at Lake Country Embedded (Hinckley, MN), a remote co-op position where I develop and test embedded software, manage real-time data processing, and integrate software with hardware components.
My interests span the intersection of intelligent systems, embedded computing, and the theoretical foundations of information processing. I'm driven by the question of how physical law gives rise to living information-processing systems - and how we can build machines that reflect that same underlying logic.
Research Interests
Research Interests
Affective Computing
Microexpression detection, facial action coding, emotion recognition via transparent and interpretable AI systems.
Embedded Systems
Real-time data processing, firmware development, hardware-software integration in C/C++ and Rust.
Evolutionary Computation
Metaheuristic optimization, topology-aware algorithms, NP-hard combinatorial problems.
Computer Vision & Deep Learning
Spatiotemporal modeling, fine-grained feature extraction, data-efficient learning for visual recognition.
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