Intelligent Optoelectronic Devices for Sensing, Memory, and Computing.
SEOLab explores how semiconductor devices can sense, remember, and process information. We integrate ferroelectric materials, optoelectronics, intelligent sensors, and thermal photonics to create hardware for future physical AI.
Devices that bring intelligence closer to where data is born.
Our research connects material physics, device engineering, and system-level demonstrations. The goal is to move sensing, memory, and computation into compact, energy-efficient hardware.
Neuromorphic In-Sensor Computing
Optoelectronic devices that sense, memorize, and process visual information directly at the point of acquisition.
Ferroelectric Optoelectronic Memory
Programmable photonic and electronic memory enabled by ferroelectric polarization and engineered light–matter interactions.
Intelligent Multimodal Sensors
Flexible and integrated devices that combine visual, tactile, thermal, and proximity information for embodied systems.
Photonic & Thermal Management
Spectral, radiative, and electrocaloric strategies for adaptive photonic platforms and efficient solid-state cooling.
Research highlights.
Representative work spanning intelligent optoelectronic devices, ferroelectric systems, and adaptive photonic–thermal technologies.
Dong Hyun Seo, Ph.D.
Our group studies emerging semiconductor and optoelectronic devices that unite sensing, memory, and information processing. We pursue fundamental device physics alongside functional system demonstrations.
Current interests include ferroelectric optoelectronics, neuromorphic and in-sensor computing, multimodal sensing, photonic memory, and thermal management.
Curious minds are welcome.
Prospective graduate students, undergraduate researchers, and collaborators interested in semiconductor devices, optoelectronics, intelligent sensing, and thermal photonics are encouraged to connect. Detailed openings and contact information will be updated shortly.