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BEGIN:VEVENT
UID:https://events.ucf.edu/event/3818089/creol-fall-colloquium-jason-valentine-vanderbilt-institute-of-nanoscale-science-and-engineering-vinse/
DTSTAMP:20251010T110000
DTSTART:20251010T110000
DTEND:20251010T120000
LOCATION:Virtual and CREOL: CROL-103

SUMMARY:CREOL Fall Colloquium: Jason Valentine, Vanderbilt Institute of Nanoscale Science and Engineering (VINSE)
URL:https://events.ucf.edu/event/3818089/creol-fall-colloquium-jason-valentine-vanderbilt-institute-of-nanoscale-science-and-engineering-vinse/
DESCRIPTION:Title: Meta-Optics for Edge Computing  \n  \n\n\nAbstract: With the proliferation of networked sensors and artificial intelligence, there is an increasing need for edge computing where data is processed at the sensor level to reduce bandwidth and latency while still preserving energy efficiency. In this talk, I will discuss how meta-optics can be used to implement computation for optical edge sensors, serving to off-load computationally expensive convolutional operations from the digital platform, reducing both latency and power consumption. Meta-optics can also take advantage of additional information channels, such as polarization, spectral composition, and angle of incidence, to process information not recorded on conventional cameras. I will discuss how this increased freedom in design allows meta-optics to augment, or replace, conventional imaging optics in achieving parallel optical processing across multiple independent channels. The meta-optic frontend is demonstrated to enable segmenting and classifying objects with minimal computational resources as well as allow for spectral discrimination in classifying objects based on their emission characteristics.\n\n  \nAbout the Speaker: Professor Valentine received a B.S. in mechanical engineering from Purdue University in 2004 and a Ph.D. in mechanical engineering from UC Berkeley in 2010. At Vanderbilt he is currently a Professor of Mechanical Engineering and the Deputy Director of the Vanderbilt Institute of Nanoscale Science and Engineering (VINSE). Prof. Valentine researches the optical properties of nanostructured metamaterials for imaging and image processing, photodetection, and dynamically reconfigurable optics for wavefront control. He has received an NSF CAREER Award, the Office of Naval Research Young Investigator Award, and a Chancellor's Award for Research.\n\nVirtual Location URL: https://ucf.zoom.us/j/93234347765?from=addon
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BEGIN:VEVENT
UID:https://events.ucf.edu/event/3971880/ece-graduate-seminar-zubaidah-al-mashhadani/
DTSTAMP:20251010T120000
DTSTART:20251010T120000
DTEND:20251010T130000
LOCATION:L3Harris Engineering Center: HEC 356

SUMMARY:ECE Graduate Seminar: Zubaidah Al-Mashhadani
URL:https://events.ucf.edu/event/3971880/ece-graduate-seminar-zubaidah-al-mashhadani/
DESCRIPTION:Join us for the next ECE Graduate Seminar, featuring doctoral candidate in electrical engineering Zubaidah Al-Masshadani. She will be presenting "One-Shot Alignment for Transferable Prosthetic Control."\n\nABSTRACT: Reliable myoelectric control is crucial for practical prosthetic use, yet its performance often degrades with changes in limb position, electrode placement or across different users. This work introduces a one-shot alignment framework based on multi-set canonical correlation analysis, or MCCA, that maintains robust control using only a single trial from a new context. By aligning the latent representations of surface electromyography, or sEMG, signals across sessions, positions and users, the proposed framework eliminates the need for retraining and reduces the required training data. Evaluation under static and dynamic arm conditions, including gesture execution and object interaction, demonstrates robust control across days, positions and users. The proposed minimal-calibration, lightweight model supports reliable prosthetic control despite repositioning, donning/doffing, or user variability, offering substantial potential for rehabilitation and everyday applications.\n\nZUBAIDAH AL-MASSHADANI is a doctoral candidate in electrical engineering at the University of Central Florida and a Future Faculty Laureate. She is a graduate research assistant in the LIMB and UNARY laboratories at UCF and has served as a teaching assistant in the Department of Electrical and Computer Engineering. She holds a master's degree in robotics engineering from Florida Polytechnic University, where she studied as a Fulbright scholar, and a bachelor's degree in mechatronics engineering from the Technical Engineering College Baghdad. Her research focuses on developing generalizable human-machine interfaces for prosthetic control and sensory feedback restoration, leveraging unary computing for data compression and energy-efficient signal processing to advance low-resource, real-time wearable technologies.
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