[
	
		
{
	"event_id": "994578",
	"eventinstance_id": "3818089",
	"calendar": {
		"id": 6833,
		"title": "Office of Research",
		"slug": "office-of-research",
		"url": "https://events.ucf.edu/calendar/6833/office-of-research/"
	},
	"id": "3818089",
	"title": "CREOL Fall Colloquium: Jason Valentine, Vanderbilt Institute of Nanoscale Science and Engineering (VINSE)",
	"subtitle": null,
	"description": "\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C/strong\u003E Meta\u002DOptics for Edge Computing\u003Cbr\u003E\u003Cbr\u003E\u003C/p\u003E\u000A\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C/strong\u003EWith 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\u002Doptics can be used to implement computation for optical edge sensors, serving to off\u002Dload computationally expensive convolutional operations from the digital platform, reducing both latency and power consumption. Meta\u002Doptics 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\u002Doptics to augment, or replace, conventional imaging optics in achieving parallel optical processing across multiple independent channels. The meta\u002Doptic 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.\u003C/p\u003E\u000A\u003Cp\u003E\u003Cbr\u003E\u003Cstrong\u003EAbout the Speaker:\u003C/strong\u003E 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\u0026rsquo\u003Bs Award for Research.\u003C/p\u003E",
	"location": "CREOL: CROL\u002D103",
	"location_url": "https://map.ucf.edu/locations/53/creol\u002Dcrol/",
	"virtual_url": "https://ucf.zoom.us/j/93234347765?from\u003Daddon",
	"registration_link": null,
	"registration_info": null,
	"starts": "Fri, 10 Oct 2025 11:00:00 -0400",
	"ends": "Fri, 10 Oct 2025 12:00:00 -0400",
	"ongoing": "False",
	"category": "Speaker/Lecture/Seminar",
	"tags": ["Photonics","CREOL","Optics"],
	"contact_name": "Leland Nordin",
	"contact_phone": null,
	"contact_email": "leland.nordin@ucf.edu",
	"url": "https://events.ucf.edu/event/3818089/creol-fall-colloquium-jason-valentine-vanderbilt-institute-of-nanoscale-science-and-engineering-vinse/"
}
,
	
		
{
	"event_id": "1041776",
	"eventinstance_id": "3971880",
	"calendar": {
		"id": 6833,
		"title": "Office of Research",
		"slug": "office-of-research",
		"url": "https://events.ucf.edu/calendar/6833/office-of-research/"
	},
	"id": "3971880",
	"title": "ECE Graduate Seminar: Zubaidah Al\u002DMashhadani",
	"subtitle": null,
	"description": "\u003Cp\u003EJoin us for the next ECE Graduate Seminar, featuring doctoral candidate in electrical engineering Zubaidah Al\u002DMasshadani. She will be presenting \u0022One\u002DShot Alignment for Transferable Prosthetic Control.\u0022\u003C/p\u003E\u000A\u003Cp\u003EABSTRACT: 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\u002Dshot alignment framework based on multi\u002Dset 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\u002Dcalibration, lightweight model supports reliable prosthetic control despite repositioning, donning/doffing, or user variability, offering substantial potential for rehabilitation and everyday applications.\u003C/p\u003E\u000A\u003Cp\u003EZUBAIDAH AL\u002DMASSHADANI 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\u0026rsquo\u003Bs degree in robotics engineering from Florida Polytechnic University, where she studied as a Fulbright scholar, and a bachelor\u0026rsquo\u003Bs degree in mechatronics engineering from the Technical Engineering College Baghdad. Her research focuses on developing generalizable human\u0026ndash\u003Bmachine interfaces for prosthetic control and sensory feedback restoration, leveraging unary computing for data compression and energy\u002Defficient signal processing to advance low\u002Dresource, real\u002Dtime wearable technologies.\u003C/p\u003E\u000A\u003Cp\u003E\u003C/p\u003E",
	"location": "L3Harris Engineering Center: HEC 356",
	"location_url": "https://map.ucf.edu/locations/116/harris\u002Dcorporation\u002Dengineering\u002Dcenter/",
	"virtual_url": null,
	"registration_link": null,
	"registration_info": null,
	"starts": "Fri, 10 Oct 2025 12:00:00 -0400",
	"ends": "Fri, 10 Oct 2025 13:00:00 -0400",
	"ongoing": "False",
	"category": "Speaker/Lecture/Seminar",
	"tags": ["UCF Department of Electrical and Computer Engineering","Zubaidah AlMasshadani"],
	"contact_name": "Azadeh Vosoughi",
	"contact_phone": null,
	"contact_email": "azadeh@ucf.edu",
	"url": "https://events.ucf.edu/event/3971880/ece-graduate-seminar-zubaidah-al-mashhadani/"
}

	
]
