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awards

internships

Silicon Validation Engineer Intern

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Gained hands-on validation experience with high-speed interconnect protocols including PCIe and UCIe, contributing to both pre-silicon and post-silicon test development.

portfolio

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publications

Accelerometer signal encoding using deep learning and spectrograms for swallowing classification

IEEE EMBS (In submission), 2024

Yuewen Luo; Ayman Anwar; Farnaz Khodami; James L. Coyle; and Ervin Sejdic

This work introduces spectrogram-based CNN and RNN encoders that compress high-dimensional HRCA signals into compact representations while preserving critical swallowing features, achieving state-of-the-art accuracy for dysphagia classification and supporting real-time bedside assessment.

Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation

IEEE EMBC, 2024

Yuewen Luo; Ayman Anwar; Siyi Ren; James L. Coyle; Ervin Sejdić.

We developed an AI-powered software that enables real-time, non-invasive swallowing assessment using HRCA signals with 99% diagnostic accuracy, offering a safe and accessible alternative to radiation-based methods

Paper

VibraForge: A Scalable Prototyping Toolkit For Creating Spatialized Vibrotactile Feedback Systems

ACM CHI, 2025

Bingjian Huang; Siyi Ren; Yuewen Luo; Qilong Cheng; Hanfeng Cai; Yeqi Sang; Mauricio Sousa; Paul H. Dietz; Daniel Wigdor

VibraForge introduces a scalable, open-source toolkit for building spatialized vibrotactile feedback systems, enabling up to 128 actuators with fine-grained control, supported by a GUI editor and validated through case studies in phonemic displays, VR fitness, and drone teleoperation.

Paper | Video

MPVision: Automated Microplastic Detection and Classification via Computer Vision

ICCV CV4E Workshop, 2025

Yuewen Luo; Ungku Zoe Anysa Ungku Faiz; Chelsea Rochman; Florian Shkurti

We present MPVision, an end-to-end computer vision pipeline that automates microplastic detection, classification, and measurement, achieving over 95% accuracy while reducing analysis time by nearly an order of magnitude.

Paper

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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