AISTATS Paper
Congrats to VISA PhD student Kaiqi Zhao on her paper “Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions” (YouTube Video) published and presented at AISTATS, a top AI conference.
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VISA high-school researcher Alex Huang won 2nd place at AzSEF
VISA high-school researcher Alex Huang won 2nd place of Software Systems at the Arizona Science and Engineering Fair (AzSEF) for his project on Semantic Privacy-Preserving for Video Surveillance Services on the Edge. Congratulations Alex!
Tara won the 2nd place in graduate student poster competition
VISA master student Tara Paranjpe won the 2nd place in the ASU Institute for Social Science Research Graduate Student Poster Competition for her interdisciplinary project on real-time stress management.
Congrats to Tara and Sang-Hun on passing thesis defenses!
Tara Paranjpe’s Honors Thesis: “Investigating Stress Among Police Training Cadets Using Machine Learning” Sang-Hun Sim’s Master Thesis: “Exploration of Edge Machine Learning-Based Stress Prediction Using Wearable Devices”
NSF Project BLUE: Software-Defined Cyberinfrastructure to Enable Data-driven Smart Campus Applications
VISA lab is awarded a new project to develop advanced software-defined cyberinfrastructure and enable exciting data-driven smart campus applications. [Read More]
Congrats to Dr. Biookaghazadeh
Saman Biookaghazadeh successfully defended his PhD thesis on FPGA-Based Edge-Computing Acceleration. Congtulations! Dr. Biookaghazadeh!
Fighting COVID-19 with federated learning
The spread of the Corona Virus Disease 2019 (COVID-19) has reached pandemic levels across the globe. There is an urgent need to develop CT apps that not only monitor but also intervene to limit COVID-19 spread while respecting user security and privacy. Sponsored by National Science Foundation, this project addresses this challenge via Federated Analytics[…]
ATC papers on smart devices and distributed learning
Congratulations to Ryunu for her presentation of USENIX ATC ’19 papers on “SmartDedup: Optimizing Deduplication for Resource-constrained Devices” and Yitao for his presentation of HotEdge ’19 workshop on “Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources”.
ASU Researcher Shifts Big Data Computing Into High Gear
Arizona State University Associate Professor Ming Zhao leads the development of GEARS, a big data computing infrastructure designed for today’s demanding big data challenges.
Cloud Computing Performance, Satisfaction Guaranteed
Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees.