We want to thank NXP’s Smart Home Innovation Lab staff for hosting us and showing us the massive possibilities and innovations of engineering new capabilities for homes!
NXP Smart Home Lab
Category: Machine Learning
Winner @ VURF!
Maya Nachega won the Best Poster at the Vanderbilt Undergraduate Research Fair (VURF) Engineering, Computer Science, Data Science, and Mathematics category. Congratulations!
Her work: Enhancing Early Autism Diagnosis with Machine Learning Algorithms using Postural Control Features
Faculty Mentor: Yumeng Li, Texas State University
UEMCON’24 Paper!
Hiroshi‘s “Fully Auto-Regressive Multi-Modal Large Language Model for Contextual Emotion Recognition” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
UEMCON’24 Paper!
Maya Nachega’s, Sugru Yahaya’s, and Ila Wallace’s “Enhancing Early Diagnosis of Autism With Machine Learning Algorithms Using Postural Control Features” collaborative paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) and will be presented in October at the IBM T. J. Watson Research Center, New York.
DCD15-IMDRC6 Poster!
Dr. Ting Liu presented Project #6’s work, “Enhancing Early Diagnosis of Autism Spectrum Disorder with Machine Learning Algorithms Using Postural Control Features,” at the 2024 DCD15-IMDRC6 in Ghent, Belgium.
Welcome Hiroshi!
Hiroshi Nonaka from Soka University of America will work on an extended REU assignment in the High-Performance Engineering (HiPE) research group.
Welcome Sugru!
Sugru Yahaya from Purdue University will be working on an extended Project Activity 6 – Enhancing early diagnosis of autism with machine learning algorithms using postural control features.
Welcome Maya!
Maya Nachega from Vanderbilt University will work on Project Activity 6, Enhancing early autism diagnosis with machine learning algorithms using postural control features.
Welcome Jessica!
Jessica Li from Northwestern University will work on Project Activity 5, The Development of a Disability Assessment Tool using Biosensors, Virtual Reality, and Machine Learning for People with Multiple Sclerosis.
IEEE AI-IoT Paper Accepted!
Saad Rafiq and Erich Ellsworth‘s collaboration paper, “Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning With ROS2,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
