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May 2023
CommLab Linked In Workshop Series
Join the CommLab's interactive LinkedIn workshop where we'll be optimizing your profile and learning how to effectively connect with people on the platform to build a strong professional network. This workshop meets every other Tuesday on Zoom or in 206 Egan. Drop-in's welcome!
Find Out MoreData Visualization by Coding: A CommLab Workshop Series
Join the CommLab to work on visualizing your data using different coding methods. We will use Python as well as other methods. Join us to tell us which methods you are interested in working on.
Find Out MoreUsing LaTeX for CV/Resumes: A CommLab Workshop Series
Looking to create a standout CV or resume that showcases your skills and experience in a professional way? Join the CommLab’s LaTeX workshop! Our workshop provides support in CV/resume building using LaTeX, and will give you a better and clearer understanding of different aspects of the LaTeX code. You’ll learn how to customize templates, incorporate graphics and images, and create tables and bibliographies. Plus, you’ll have the opportunity to connect with a community of like-minded individuals who are interested in…
Find Out MoreDesigning a Research Poster: A CommLab Series
Join the CommLab to work on your research poster. Whether you are designing, editing or delivering a poster, this series will help you through whichever stage you are in. May 18th will focus on design, May 25 and June 1 will focus on editing and June 8 will focus on presenting. This series will be hybrid. Join us in 335 Curry Student Center or on Zoom.
Find Out MoreYuezhou Liu’s PhD Proposal Review
Committee Members: Prof. Edmund Yeh (Advisor) Prof. Stratis Ioannidis Prof. Lili Su Prof. Carlee Joe-Wong Abstract: Significant advances in edge and mobile computing capabilities enable machine learning to occur at geographically diverse locations in networks, e.g., cloud, edge, and mobile devices. The training data needed in those learning tasks may not be fully generated locally. Moreover, some promising distributed learning paradigms enable devices to collaboratively train a model, which requires communication among the devices for exchanging necessary information. Thus, optimizing…
Find Out MoreGuillem Reus Muns’ PhD Dissertation Defense
"AI for communication and sensing in RF environments" Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Hanumant Singh Abstract: The recent growth of Internet of Things (IoT), as well as other new revolutionary applications utilizing wireless spectrum are leading the way towards the realization of next-generation wireless systems that jointly utilize communications and sensing. However, such systems offer many degrees of freedom, and optimizing them for a specific task is difficult to accomplish with deterministic and classical approaches.…
Find Out MoreData Visualization by Coding: A CommLab Workshop Series
Join the CommLab to work on visualizing your data using different coding methods. We will use Python as well as other methods. Join us to tell us which methods you are interested in working on.
Find Out MoreSASE Taiyaki and Trivia
The Society of Asian Scientists and Engineers (SASE) is hosting "Taiyaki and Trivia" to celebrate AAPI Heritage Month. Join us in Snell Quad, catered by Taiyaki NYC.
Find Out MoreJune 2023
Designing a Research Poster: A CommLab Series
Join the CommLab to work on your research poster. Whether you are designing, editing or delivering a poster, this series will help you through whichever stage you are in. May 18th will focus on design, May 25 and June 1 will focus on editing and June 8 will focus on presenting. This series will be hybrid. Join us in 335 Curry Student Center or on Zoom.
Find Out MoreCheng Gongye’s PhD Proposal Review
"Hardware Security Vulnerabilities in Deep Neural Networks and Mitigations" Committee Members: Prof. Yunsi Fei (Advisor) Prof. Xue Lin Prof. Xiaolin Xu Abstract: Over the past decade, Deep Neural Networks (DNNs) have revolutionized numerous fields. With the increasing deployment of DNN models in security-sensitive and mission-critical applications, such as autonomous driving, ensuring the security and privacy of DNN inference is of paramount importance. This Ph.D. dissertation investigates two primary hardware security attack vectors: fault attacks and side-channel attacks. Fault attacks compromise…
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