A great week of HPC: retrained on the basics, see the new updates, and learn the new ways of performing scientific computation. I’ve earned my Blue Waters digital badge!
Author: Damian Valles
Journal Article Accepted!
The 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.
Featured Article
Facial Expression Recognition for children with ASD project in HiPE is featured in Medical View, Read: https://medicalview.org/autism-ai-helps-children-to-identify-facial-expressions/
Journal Article Published!
Co-authored with Dr. McClellan in a journal article titled “Using Machine Learning to Optimize Linux Networking” published in the latest Linux Journal issue…out now!
Workshop Contribution Accepted
Dr. Valles’s collaborated work with Dr. M. Apple from Montana Tech contribution was accepted to the “Mountain Biodiversity and Ecosystems Under Global Change” workshop at the International Mountain Conference (IMC 2019) in Innsbruck, Austria.
Best Paper Award
Best Paper Award at The 9th IEEE Annual Information Technology, Electronics & Mobile Communication Conference (IEMCON’18), Author: Bikram DasGupta, Co-Authors: Dr. Valles & Dr. McClellan, University of British Columbia, Vancouver, Canada, 2018
Invited Talk at CTEA
Invited to speak at the Central Texas Electronics Association (CTEA) Electronics Design, Manufacturing & Test Symposium. Talk: “HPC, Machine Learning, and other Engineering Problems to Consider”
Research Award
Received the Outstanding Achievement Award in research contributions to the Field of Cyber-Physical Systems at The 2018 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE’18)
Keynote Speaker at IEEE Event
I will be the keynote speaker at the IEEE Austin ComSoc & SP and EMBS & Computer Combined chapters special session at the AT&T Labs. Talk: “HPC, Machine Learning, and other Engineering Problems to Consider”
Register to attend: https://events.vtools.ieee.org/m/173823
HiPE Research Group
New High-Performance Engineering (HiPE) Research Group site has been created. HiPE is a group in the Ingram School of Engineering that works on engineering projects using HPC | Machine Learning | Digital & Embedded solution.
