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PSCLab receives a research contract from TechInsights Inc. to develop hybrid methods for high-accuracy via and wire segmentation for semiconductor analysis.
PSCLab receives a continuing unrestricted gift from Cisco Research Center (for the 2nd year) to develop an energy-efficient and intelligent framework for Internet-of-Things (IoT) data analytics.Link: Cisco Research Center
PSCLab receives an unrestricted gift from RadiusAI, Inc. to develop FPGA-based video analytics solution on network edge.Link: RadiusAI, Inc.
PSCLab receives an unrestricted gift from Cisco Research Center to develop an energy-efficient and intelligent framework for Internet-of-Things (IoT) data processing.Link: Cisco Research Center
Prof. Ren wins a 2017 Google Faculty Research Award to develop data-driven, neural network based image/video codec for machine perception.Link: Award Announcement , List of Recipients, Research at Google
Prof. Ren receives the prestigious NSF Faculty Early Career Development (CAREER) Award to develop data-driven and hardware-friendly compressive sensing and data analytics solutions to fulfill unmet energy efficiency needs of Internet-of-things (IoT) applications.Link: Full Circle News, ASU Now News, NSF Award Abstract
A team of ASU researchers is awarded an NSF CISE Research Infrastructure grant to develop energy-efficient computational infrastructure featuring heterogeneous accelerators and deep storage hierarchy to support big data research.Link: NSF Award Abstract, Project Website
Jonathan, Matthew, Mark, and Zhikang's (equally contributed) invited paper "OpenICS: Open Image Compressive Sensing Toolbox and Benchmark", is accepted for publication in an upcoming issue of Software Impacts.Link: Paper, arXiv Version, GitHub Repo, CodeOcean Capsule
Masudul and Erfan's (equally contributed) paper "A Survey of System Architectures and Techniques for FPGA Virtualization", is accepted for an upcoming issue of the IEEE Transactions on Parallel and Distributed Systems (TPDS).Link: Paper
The paper "MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time", co-authored with Dr. Xichuan Zhou (Chongqing University), will be presented at the 37th International Conference on Machine Learning (ICML’20), to be held as a virtual event from July 13th-18th, 2020.Link: Paper
The paper "Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection", co-authored with Prof. Hao Yan and Prof. Feng Ju (Arizona State University), is accepted by the Manufacturing Science and Engineering Conference (MSEC'20).
Kai's paper "Learning In the Frequency Domain", co-authored with Dr. Minghai Qin, Dr. Fei Sun, Dr. Yuhao Wang, and Dr. Yen-Kuang Chen (Alibaba Group), will be presented at the Conference on Computer Vision and Pattern Recognition (CVPR’20), to be held as a virtual event from June 14th-19th, 2020.Link: Paper
Masudul has been selected as the recipient of this academic year's Outstanding Computer Engineering (CS) TA Award in recognition of his professional excellence on serving as the TA for CEN571 and CSE320.
Congratulations and thanks for your service, Masudul!
Dr. Xu has been selected by the CEN(CS) Graduate Program Committee as the recipient of this academic year's Outstanding Computer Engineering (CS) PhD Student Award in recognition of his excellent research accomplishments and academic performance.
Congratulations, Dr. Xu!
We are delighted to announce that Yixing Li successfully defended her Ph.D. dissertation entitled "Hardware-friendly Deep Learning for Edge Computing" on December 16th, 2020, and will have her Ph.D. degree conferred in May 2021.
We are delighted to announce that Kai Xu successfully defended his Ph.D. dissertation entitled "Learning In Compressed Domains" on February 10th, 2021, and will have his Ph.D. degree conferred in May 2021.
Mrs. Deborah Lenz, a Chemistry/Gifted Chemistry Teacher from McClintock High School in Tempe, AZ, is visiting PSCLab for one summer month to participate in the High-School Teacher Training Program (HTTP).
Kai has been selected by the Graduate College as a recipient of Completion (Dissertation-year) Fellowship for Fall 2019 and Spring 2020 in recognition of his outstanding research progress and academic performance.