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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;TZID=America/New_York:20211202T120000
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DTSTAMP:20260603T011532
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SUMMARY:Beyond the Pandemic – Transformative Engineering
DESCRIPTION:In the College of Engineering\, we prepare the next generation of engineers to solve real-world global challenges. Join Dean Gregory D. Abowd for a panel discussion on the ways in which the pandemic has influenced our engineering curriculum and driven our students and faculty to innovate new solutions to issues related to health\, sustainability\, security and more. \nThis event is complimentary but registration is required. \nAll registrants will receive an email with information on accessing this virtual event. \nRegister Now \nAlready registered?
URL:https://coe.northeastern.edu/event/beyond-the-pandemic-transformative-engineering/
ORGANIZER;CN="Alumni Relations":MAILTO:alumni@northeastern.edu
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DTSTART;TZID=America/New_York:20211202T150000
DTEND;TZID=America/New_York:20211202T160000
DTSTAMP:20260603T011532
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UID:29597-1638457200-1638460800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Tong Jian
DESCRIPTION:PhD Proposal Review: Robust Sparsified Deep Learning \nTong Jian \nLocation: Zoom Link \n(ID: 75807284369\, Passcode: 463BXOZk) \nAbstract: In this thesis\, we investigate and address robustness concerns about DNN-based real-life applications on resource constrained systems\, environment adaptation\, and adversarial learning\, respectively. We propose a means of compressing a Radio Frequency (RF) deep neural network architecture through weight pruning\, and provide a systems-level analysis of the implementation of such a pruned architecture at resource-constrained edge devices. In particular\, we jointly train and sparsify neural networks tailored to edge hardware implementations. Under only negligible accuracy loss (less than 1%)\, we can achieve at most 27.2x pruning rate for 50-device classification. We demonstrate the efficacy of our approach over multiple edge hardware platforms and our method yields significant inference speedups\, 11.5x on the FPGA and 3x on the smartphone\, as well as high efficiency.\nFurthermore\, we propose a new learn-prune-share (LPS) algorithm for achieving robustness to environment adaptation in the field of lifelong learning. Our method maintains a parsimonious neural network model and achieves exact no forgetting by splitting the network into task-specific partitions via an ADMM-based weight pruning strategy. Moreover\, a novel selective knowledge sharing scheme is integrated seamlessly into the ADMM optimization framework to address knowledge reuse. We show that our approach achieves significant improvement over the state-of-the-art methods on multiple real-life datasets.\nFinally\, we investigate the HSIC bottleneck as regularizer (HBaR) as a means to enhance adversarial robustness. We show that the HSIC bottleneck enhances robustness to adversarial attacks both theoretically and experimentally. In particular\, we prove that the HSIC bottleneck regularizer reduces the sensitivity of the classifier to adversarial examples. Our experiments on multiple benchmark datasets and architectures demonstrate that incorporating an HSIC bottleneck regularizer attains competitive natural accuracy and improves adversarial robustness\, both with and without adversarial examples during training.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-tong-jian/
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DTSTART;TZID=America/New_York:20211202T183000
DTEND;TZID=America/New_York:20211202T200000
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LAST-MODIFIED:20211123T191119Z
UID:29502-1638469800-1638475200@coe.northeastern.edu
SUMMARY:The Power of Alternative Data: an Entrepreneur's Tale
DESCRIPTION:Please join the Galante Engineering Business Program in welcoming Yiannis Tsiounis as he reviews how cellphone location data helps investors monitor companies; how real estate owners understand the demographics and occupancy ratio of their existing or competitive/prospective properties; and how insurance companies price risk. Yiannis will also share his entrepreneurial journey building and growing companies. \nYiannis is the CEO of Advan Research\, which he founded in 2015\, and an acting investor and advisor to several startups. He founded and led BQuotes\, a fixed income price discovery platform in 2005. BQuotes was acquired by Moody’s in 2008. From 2003-2005 he was a Partner at Etolian Capital\, a Fixed Income hedge fund. He was a consultant for Concord EFS\, a payments processor\, from 2002-2003\, and prior to that\, he was the co-founder and CTO of InternetCash\, an internet payments platform\, from 1999 to 2001. He was a senior member of the research staff at GTE Labs from 1997-1999. Yiannis holds a Ph.D. in Cryptography with a thesis in Anonymous Electronic Cash and a Master’s in Computer Science from Northeastern University\, and a Bachelor’s in Mathematics from the University of Athens. He has published 14 peer-refereed papers in Cryptography and Privacy\, and has been an invited speaker at MIT\, NIST\, RSA\, Sandia National Laboratories\, and Ecole Normale Superieure\, among others.
URL:https://coe.northeastern.edu/event/the-power-of-alternative-data-an-entrepreneurs-tale/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
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