CV
Your Sidebar Name
Summary
Currently employed at Red Brick University. Short biography for the left-hand sidebar
Education
- Ph.D in Version Control Theory2018GitHub University
- M.S. in Jekyll2014GitHub University
- B.S. in GitHub2012GitHub University
Publications
- Paper Title Number 12009
- Paper Title Number 22010
- Paper Title Number 32015
- Paper Title Number 42024
- Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation2024IEEE Engineering in Medicine & Biology Conference (EMBC) 2024This paper presents an AI-powered interface for swallowing kinematic analysis using high-resolution cervical auscultation, enabling non-invasive assessment of swallowing function.
- MPVision: Automated Microplastic Detection and Classification via Computer Vision2025ICCV 2025 CV4E WorkshopWe 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.
- VibraForge: A Scalable Prototyping Toolkit For Creating Spatialized Vibrotactile Feedback Systems2024ACM CHI 2025VibraForge 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.
- TactileNet: A Prototype System for Realistic Touch Sensation Transmission over the Internet2024UIST 2024TactileNet introduces a prototype system that combines gesture recognition, depth estimation, and a novel roller-based actuator to transmit realistic touch sensations over the internet, enhancing remote haptic communication.
- Accelerometer signal encoding using deep learning and spectrograms for swallowing classification2024IEEE EMBS (In submission)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.
Presentations
- Talk 1 on Relevant Topic in Your Field2012UC San Francisco, Department of TestingSan Francisco, CA, USA
- Tutorial 1 on Relevant Topic in Your Field2013UC-Berkeley Institute for Testing ScienceBerkeley, CA, USA
- Talk 2 on Relevant Topic in Your Field2014London School of TestingLondon, UK
- Conference Proceeding talk 3 on Relevant Topic in Your Field2014Testing Institute of America 2014 Annual ConferenceLos Angeles, CA, USA
Teaching
- Teaching experience 12014University 1, DepartmentRole: Undergraduate course
- Teaching experience 22015University 1, DepartmentRole: Workshop
Portfolio
- Portfolio item number 1
