ACM Transactions on Storage invites academic researchers and industry professionals from a broad range of disciplines to submit to the Special Issue on Past, Present, and Future of Storage Technologies. Guest Editors: Geoff Kuenning, Emeritus Professor at Harvey Mudd College, firstname.lastname@example.org Youjip Won, Professor at the Korea Advanced Institute of Science and Technology, email@example.com Ming Zhao, Associate Professor at the[…]
Dr. Zhao gave a keynote talk at the IEEE RSDM-GeoSci Workshop on DataStorm (from Cloud to Edge)—A Data-driven System for Disaster Management
Dr. Zhao presented two papers at the flagship signal processing conference ICASSP and its satellite workshop on “A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning” (YouTube video) and “Confidence-based Federated Distillation for Vision-based Lane-centering”.
Dr. Zhao presented a paper on “GPU-enabled Function-as-a-Service for Machine Learning Inference” at a top distributed computing conference, IPDPS 2023.
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.
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.
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”
VISA lab is awarded a new project to develop advanced software-defined cyberinfrastructure and enable exciting data-driven smart campus applications. [Read More]
Saman Biookaghazadeh successfully defended his PhD thesis on FPGA-Based Edge-Computing Acceleration. Congtulations! Dr. Biookaghazadeh!
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[…]