Rezwan and Dr. Valles will present with Dr. Resendiz at the TXST Innovation Lab at SXSW 2020 – “App for People with Autism Spectrum Disorder” in Austin, TX.
[Cancelled due to COVID-19]
Category: Machine Learning
IEEE-CCWC 2020 Paper Accepted
Purvesh‘s paper titled “Deep Convolutional Neural Network Design Approach for 3D Object Detection for Robotic Grasping” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
IEEE-UEMCON 2019 Paper Accepted
Inzamam‘s paper titled “Facial Expression Recognition Using DCNN and Development of an iOS App for Children with ASD to Enhance Communication Abilities” was accepted to the 2019 IEEE-UEMCON. To be presented at Columbia University, NYC on Oct. 2019.
Journal Article Accepted!
Dr. Valles’s co-authored journal article titled “Dynamic Voltage Optimization Based on In-Band Sensors and Machine Learning” has been accepted to the MDPI Applied Sciences Special Issues: State-of-the-Art of Smart Metering in Electricity Grids.
IEEE-ISMCR 2019 Paper Accepted
Abdullah’s paper titled “MFCC based Houston Toad call Detection using LSTM” was accepted to the 2019 IEEE-ISMCR. To be presented at the University of Houston – Clear Lake on Sep. 2019.
The University Star Article
The HiPE group and Inzamam‘s thesis work was featured in The University Star
Various Sites Article Feature
Inzamam’s work is now a feature article on Autism20.com, Electronic Component News, & News Wise:
Medical View Article
Inzamam’s work is now a feature article on Medical View, Read: https://medicalview.org/autism-ai-helps-children-to-identify-facial-expressions/
Journal Article Published!
Dr. Valles & Dr. McClellan’s journal article titled “Using Machine Learning to Optimize Linux Networking” has been published in the latest Linux Journal issue…out now!
In the News!
Inzamam‘s Facial Expression thesis work is showcased in the Texas State’s News Researcher’s site! Read: https://news.txstate.edu/research-and-innovation/2019/machine-learning-helps-children-with-autism-identify-facial-expressions.html
